clawdbot-workspace/proposals/solvr-implementation-proposal-v2.md
2026-02-06 23:01:30 -05:00

47 KiB

Solvr AI-Powered Service Platform

Comprehensive Implementation Proposal — V2

Prepared by: OpenClaw
Prepared for: Zack Lee, Solvr
Date: February 2026
Total Investment: $57,500
Timeline: 16 Weeks (4 Phases)


Executive Summary

Zack — after our conversation, the scope of what Solvr can become with AI is significantly bigger than a 3-agent team. You're not just looking for a few assistants. You're building a scalable operating system that can deliver 40+ services across four pillars to every hospice client — with a fraction of the human overhead you'd otherwise need.

This proposal maps every service in your catalog to specific AI and automation capabilities OpenClaw will build. We're organizing it around your four pillars — Growth Accelerator, Finance Navigator, Operations Optimizer, and Talent Solutions — because that's how your clients think about your services, and that's how the system should work.

Here's the short version:

  • 8 specialized AI agents organized by pillar (up from 3)
  • 16 MCP servers powering deep integrations across your entire tech stack
  • 350+ tools available across all agents
  • 4-phase rollout over 16 weeks — you're live and delivering value by end of Phase 1
  • Automation readiness mapped to your own framework: Fully Automatable / Mostly Automated / Human-Led with AI Assist

The result: Solvr can onboard new hospice clients and deliver the full service catalog without hiring proportionally more staff. Your team focuses on strategy, relationships, and the human-judgment calls. The AI handles everything else.


Table of Contents

  1. Architecture Overview
  2. Agent Team — Expanded
  3. Pillar 1: Growth Accelerator
  4. Pillar 2: Finance Navigator
  5. Pillar 3: Operations Optimizer
  6. Pillar 4: Talent Solutions
  7. MCP Server Inventory
  8. Automation Readiness Matrix
  9. Coordination Layer
  10. Implementation Timeline
  11. Responsibility Matrix
  12. Risk Assessment & Mitigation
  13. ROI Projections
  14. Investment
  15. Next Steps

Architecture Overview

┌─────────────────────────────────────────────────────────────────────────────┐
│                        SOLVR AI SERVICE PLATFORM                            │
├─────────────────────────────────────────────────────────────────────────────┤
│                                                                             │
│  ┌──────────────────┐ ┌──────────────────┐ ┌──────────────────┐            │
│  │ PILLAR 1: GROWTH │ │ PILLAR 2: FINANCE│ │ PILLAR 3: OPS    │            │
│  │                  │ │                  │ │                  │            │
│  │  Rose (Marketing)│ │  Vera (Finance)  │ │  Miles (Compliance│            │
│  │  Kit (Sales)     │ │                  │ │       & Audit)   │            │
│  │  Ada (Tech/AI)   │ │                  │ │  Nora (Clinical) │            │
│  └────────┬─────────┘ └────────┬─────────┘ └────────┬─────────┘            │
│           │                    │                     │                      │
│  ┌──────────────────┐          │                     │                      │
│  │ PILLAR 4: TALENT │          │                     │                      │
│  │                  │          │                     │                      │
│  │  Harper (HR/     │          │                     │                      │
│  │    Recruitment)  │          │                     │                      │
│  └────────┬─────────┘          │                     │                      │
│           │                    │                     │                      │
│  ┌────────┴────────────────────┴─────────────────────┘                      │
│  │                                                                          │
│  │  ┌──────────────────────────────────────────┐                            │
│  │  │        DOT — CEO Executive Assistant     │  (Cross-Pillar)           │
│  │  │        FELIX — IT & Platform Manager     │  (Cross-Pillar)           │
│  │  └──────────────────────────────────────────┘                            │
│  │                                                                          │
│  │  ┌──────────────────────────────────────────┐                            │
│  │  │        COORDINATION LAYER                │                            │
│  │  │  SQLite: Memory / Messages / State       │                            │
│  │  │  Task Queue / Agent Routing / Handoffs   │                            │
│  │  └──────────────────────────────────────────┘                            │
│  │                                                                          │
│  ├──────────────────────────────────────────────────────────────────────┐   │
│  │                     OPENCLAW MCP SERVERS (16)                        │   │
│  │                                                                      │   │
│  │  GoHighLevel   Google Workspace   Notion       LinkedIn              │   │
│  │  Google Ads    Meta Ads           GA4          Whisper               │   │
│  │  Design Gen    Comms/Telegram     QuickBooks   Document Intelligence │   │
│  │  Web Scraping  Knowledge Base     Forms Engine  Dashboard/Reporting  │   │
│  │                                                                      │   │
│  │  350+ tools across all servers                                       │   │
│  └──────────────────────────────────────────────────────────────────────┘   │
│                                                                             │
└─────────────────────────────────────────────────────────────────────────────┘

Agent Team — Expanded

We're going from 3 agents to 8. Each pillar gets dedicated agent(s), plus two cross-pillar agents that handle CEO-level coordination and IT/platform management.

Agent Role Pillar Personality
Dot Ashby CEO Executive Assistant Cross-Pillar Buttoned-up, efficient, proactive
Rose Callahan Marketing Director Pillar 1: Growth Warm, polished, creative
Kit Navarro Sales Enablement Lead Pillar 1: Growth Energetic, data-driven, coachable
Ada Chen Technology & AI Specialist Pillar 1: Growth Sharp, technical, concise
Vera Sinclair Finance & Reporting Analyst Pillar 2: Finance Meticulous, calm, numbers-first
Miles Thornton Compliance & Operations Lead Pillar 3: Ops Detail-obsessed, precise, methodical
Nora Fleming Clinical Operations Specialist Pillar 3: Ops Empathetic, thorough, clinically-aware
Harper Quinn Talent & HR Manager Pillar 4: Talent Approachable, organized, people-first
Felix Park IT & Platform Manager Cross-Pillar Calm, technical, solutions-oriented

Pillar 1: Growth Accelerator

Agents: Rose (Marketing), Kit (Sales Enablement), Ada (Technology/AI)

Marketing Services — Rose Callahan

Service Automation Tier What the AI Does MCP Servers
Quarterly Competitive Analysis Fully Automatable Scrapes competitor websites, job postings, ad spend, social presence. Generates quarterly report with trends, threats, and opportunities. Auto-delivered to client dashboards. Web Scraping MCP, GA4 MCP, Google Ads MCP, Document Intelligence MCP
Collateral System 🟡 Mostly Automated Generates branded brochures, one-pagers, presentations from templates. Human reviews final output before distribution. Design Generator MCP, Knowledge Base MCP, Notion MCP
Google Ad Management 🟡 Mostly Automated Monitors campaigns daily, adjusts bids within parameters, pauses underperformers, generates weekly performance reports. Human approves budget changes above threshold. Google Ads MCP, GA4 MCP, Dashboard MCP
Social Media Automation Fully Automatable Generates content calendar, writes posts, creates graphics, schedules across platforms. Pulls engagement analytics weekly. LinkedIn MCP, Design Generator MCP, Notion MCP
Website Management 🟡 Mostly Automated Monitors uptime, updates content, tracks SEO performance, generates monthly analytics reports. Human handles structural changes. Web Scraping MCP, GA4 MCP, Google Workspace MCP
Inservice Suite Fully Automatable Generates educational inservice presentations and materials on hospice topics. Auto-formats, stores in client library, tracks completion. Knowledge Base MCP, Design Generator MCP, Document Intelligence MCP

Sales Enablement Services — Kit Navarro

Service Automation Tier What the AI Does MCP Servers
Sales Enablement Package 🟡 Mostly Automated Produces podcast scripts, coaching summaries, role-play scenarios. Generates post-call analyses from recordings. Human delivers coaching. Whisper MCP, Knowledge Base MCP, Design Generator MCP
PULSE™ Sales Methodology Training 🔵 Human-Led + AI Assist Generates training materials, quizzes, role-play scripts based on PULSE framework. Tracks completion. Human leads actual training sessions. Knowledge Base MCP, Forms Engine MCP, Notion MCP
Bonus Plan Templates 🟡 Mostly Automated Generates customized bonus structures based on agency size, census, and goals. Calculates payouts from data inputs. Human reviews final plans. Document Intelligence MCP, Dashboard MCP
CRM Management 🟡 Mostly Automated Maintains GHL pipelines, auto-tags leads, triggers nurture sequences, cleans duplicates, generates pipeline reports. Human handles strategic changes. GoHighLevel MCP
Referral-to-Admission Process Toolbox 🔵 Human-Led + AI Assist Provides process templates, tracks referral-to-admission metrics, identifies bottlenecks. AI generates recommendations; human implements process changes. GoHighLevel MCP, Dashboard MCP, Knowledge Base MCP
EOD/Daily Reporting Tool Fully Automatable Auto-generates end-of-day reports from CRM data, call logs, and activity metrics. Delivered to managers by 6 PM daily. GoHighLevel MCP, Dashboard MCP, Comms MCP

Technology/AI Services — Ada Chen

Service Automation Tier What the AI Does MCP Servers
Marketing Assistant Bot Fully Automatable Client-facing chatbot that answers marketing questions, generates quick content ideas, provides campaign status updates. Runs 24/7. Knowledge Base MCP, GoHighLevel MCP, Comms MCP
Website Chat Bot Fully Automatable Embedded on client hospice websites. Answers visitor questions, captures leads, routes to sales. Trained on agency-specific content. Knowledge Base MCP, GoHighLevel MCP, Web Scraping MCP
Clinical Eligibility AI 🔵 Human-Led + AI Assist Ingests patient referral data, cross-references against hospice eligibility criteria (LCD guidelines). Generates preliminary eligibility assessment. Always requires clinical human review before any decision. Document Intelligence MCP, Knowledge Base MCP

Pillar 2: Finance Navigator

Agent: Vera Sinclair

Financial Reporting & Analysis

Service Automation Tier What the AI Does MCP Servers
Monthly Financial Reporting 🟡 Mostly Automated Pulls data from accounting systems, generates P&L, balance sheet, and cash flow reports. Highlights variances and anomalies. Human validates numbers. QuickBooks MCP, Dashboard MCP, Document Intelligence MCP
Quarterly Profit Opportunity Analysis 🔵 Human-Led + AI Assist Analyzes financial data to identify margin improvement opportunities. AI generates initial recommendations with supporting data. Human refines strategy. QuickBooks MCP, Dashboard MCP, Knowledge Base MCP
Monthly PPD Expense Analysis Fully Automatable Calculates per-patient-day expenses across categories. Compares to benchmarks and prior periods. Auto-generates report with trends. QuickBooks MCP, Dashboard MCP
Quarterly Competitive Benchmarking 🟡 Mostly Automated Pulls publicly available Medicare data, compares client metrics to market. Generates benchmark report. Human adds strategic context. Web Scraping MCP, Dashboard MCP, Document Intelligence MCP
Medicare Hospice CAP Monitoring Fully Automatable Tracks aggregate Medicare payments against CAP limits in real-time. Alerts when approaching thresholds. Generates projections. QuickBooks MCP, Dashboard MCP, Comms MCP
Post-Payroll Staff Cost Analysis Fully Automatable Ingests payroll data, calculates cost-per-visit, overtime trends, staff utilization. Auto-generates report after each pay cycle. QuickBooks MCP, Dashboard MCP

Financial Operations

Service Automation Tier What the AI Does MCP Servers
AP Management System 🟡 Mostly Automated Tracks invoices, payment schedules, vendor terms. Generates payment recommendations and aging reports. Human approves payments. QuickBooks MCP, Document Intelligence MCP, Notion MCP
Comprehensive Contract Management 🟡 Mostly Automated Stores contracts, tracks renewal dates, extracts key terms. Alerts before expirations. Human handles negotiations. Document Intelligence MCP, Notion MCP, Comms MCP

Pillar 3: Operations Optimizer

Agents: Miles Thornton (Compliance & Audit), Nora Fleming (Clinical Ops), Felix Park (IT — shared)

Compliance & Auditing — Miles Thornton

Service Automation Tier What the AI Does MCP Servers
Technical Auditing 🟡 Mostly Automated Scans documentation for technical compliance issues (billing codes, timelines, signatures). Generates audit reports with flagged items. Human reviews findings. Document Intelligence MCP, Knowledge Base MCP, Dashboard MCP
Clinical Auditing 🔵 Human-Led + AI Assist Reviews clinical documentation against regulatory standards. AI flags potential issues and missing elements. Human clinician makes all audit determinations. Document Intelligence MCP, Knowledge Base MCP
Survey Readiness System 🟡 Mostly Automated Maintains continuous readiness checklist. Scans for gaps against CMS Conditions of Participation. Generates mock survey reports. Human addresses deficiencies. Knowledge Base MCP, Forms Engine MCP, Document Intelligence MCP
ADR Response Support 🔵 Human-Led + AI Assist When ADRs (Additional Documentation Requests) come in, AI assembles supporting documentation, generates response drafts. Human reviews and submits. Document Intelligence MCP, Knowledge Base MCP
Quality Agency Review 🟡 Mostly Automated Aggregates quality metrics (CAHPS, HIS, claims data). Generates QAPI-ready reports. Identifies trends. Human interprets and acts on findings. Dashboard MCP, Document Intelligence MCP, Knowledge Base MCP

Clinical Operations — Nora Fleming

Service Automation Tier What the AI Does MCP Servers
Virtual DON AI Assistant Fully Automatable (Intake) Handles intake-related questions, generates clinical documentation templates, provides regulatory guidance. Routes complex clinical questions to human DON. Knowledge Base MCP, Comms MCP, Document Intelligence MCP
Digital Form Management Fully Automatable Creates, stores, versions, and distributes clinical and administrative forms. Auto-populates fields from existing data. Tracks form completion. Forms Engine MCP, Document Intelligence MCP, Notion MCP
Education Toolbox Fully Automatable Generates staff education materials on clinical topics, regulatory updates, and best practices. Tracks completion and competencies. Knowledge Base MCP, Design Generator MCP, Forms Engine MCP
Caregiver Satisfaction Monitoring Fully Automatable Deploys satisfaction surveys, collects responses, analyzes sentiment, generates trend reports. Alerts on negative trends. Forms Engine MCP, Dashboard MCP, Comms MCP
Hospice Agency Knowledge Hub Fully Automatable Searchable knowledge base of hospice regulations, best practices, Solvr SOPs, and agency-specific information. AI-powered Q&A interface. Knowledge Base MCP, Comms MCP
Policy & Procedure Generator 🟡 Mostly Automated Generates P&P documents from templates and regulatory requirements. Cross-references against current CMS/state regulations. Human reviews before adoption. Knowledge Base MCP, Document Intelligence MCP
Operational Dashboard Fully Automatable Real-time dashboard showing census, admissions, discharges, visits, staff productivity, and key clinical metrics. Auto-refreshes from data sources. Dashboard MCP, GoHighLevel MCP, QuickBooks MCP

Technology — Felix Park (shared cross-pillar)

Service Automation Tier What the AI Does MCP Servers
Comprehensive IT Management (Tier 1) 🟡 Mostly Automated AI helpdesk handles password resets, basic troubleshooting, software questions, account provisioning. Routes complex issues to human IT. Knowledge Base MCP, Comms MCP, Notion MCP
Comprehensive IT Management (Tier 2/3) 🔵 Human-Led + AI Assist AI assists with research, documentation, and tracking for complex IT issues. Human handles hands-on technical work. Knowledge Base MCP, Notion MCP

Pillar 4: Talent Solutions

Agent: Harper Quinn

Recruitment

Service Automation Tier What the AI Does MCP Servers
Hospice Hiring for Excellence System 🟡 Mostly Automated Generates job postings, screens resumes, schedules interviews, sends follow-ups. Scores candidates against criteria. Human makes hiring decisions. GoHighLevel MCP, Comms MCP, Document Intelligence MCP, Google Workspace MCP
Job Description Generator Fully Automatable Generates role-specific, compliance-aware job descriptions for any hospice position. Customized to agency size, market, and requirements. Knowledge Base MCP, Document Intelligence MCP
Recruitment Marketing 🟡 Mostly Automated Creates and manages job ad campaigns across platforms. Generates recruitment content. Human approves video production. Google Ads MCP, Meta Ads MCP, Design Generator MCP, LinkedIn MCP
Volunteer Recruitment Service Fully Automatable Manages volunteer pipeline: generates outreach materials, tracks applications, sends communications, maintains volunteer database. GoHighLevel MCP, Comms MCP, Design Generator MCP

Engagement

Service Automation Tier What the AI Does MCP Servers
Employee Engagement Monitoring Fully Automatable Deploys pulse surveys, analyzes responses, tracks engagement scores over time. Generates monthly engagement reports with recommendations. Forms Engine MCP, Dashboard MCP, Comms MCP
Team Building Activities Generator Fully Automatable Generates customized team building activities, icebreakers, and recognition programs based on team size, setting, and goals. Knowledge Base MCP

HR Operations

Service Automation Tier What the AI Does MCP Servers
HR Knowledge Hub Fully Automatable AI-powered Q&A system for HR policies, benefits questions, compliance requirements. Trained on agency-specific handbooks and federal/state regulations. Knowledge Base MCP, Comms MCP
HR & Compliance Hotline Fully Automatable 24/7 AI-powered hotline for HR and compliance questions. Logs all inquiries, escalates sensitive issues to human HR. Maintains confidentiality protocols. Knowledge Base MCP, Comms MCP, Notion MCP

MCP Server Inventory

All MCP servers are built, hosted, and maintained by OpenClaw. Full source code ownership included.

# MCP Server Tools Status Powers Which Services
1 GoHighLevel MCP 65+ Built CRM, lead management, pipelines, SMS/email, workflows, EOD reporting, hiring pipeline, volunteer management
2 Google Workspace MCP 40+ 🔨 Build Calendar, Gmail, Drive, Docs, Sheets, Meet — used across all pillars
3 Notion MCP 25+ 🔨 Build Documentation, SOPs, contract tracking, task management, knowledge organization
4 LinkedIn MCP 15+ 🔨 Build Social posting, analytics, recruitment marketing, professional networking
5 Google Ads MCP 20+ Built Ad campaign management, recruitment ads, competitive analysis
6 Meta Ads MCP 20+ Built Facebook/Instagram ad campaigns, recruitment marketing
7 GA4 Analytics MCP 15+ 🔨 Build Website analytics, traffic reporting, conversion tracking
8 Whisper Transcription MCP 10+ 🔨 Build Meeting transcription, coaching call analysis, podcast production
9 Design Generator MCP 15+ 🔨 Build Social graphics, reports, brochures, presentations, collateral
10 Comms/Telegram MCP 10+ 🔨 Build Agent communication interface, notifications, alerts, hotline
11 QuickBooks MCP 25+ 🔨 Build Financial reporting, AP management, payroll analysis, expense tracking
12 Document Intelligence MCP 20+ 🔨 Build PDF parsing, contract analysis, clinical document review, form generation
13 Web Scraping MCP 15+ 🔨 Build Competitive analysis, market data, Medicare public data, website monitoring
14 Knowledge Base MCP 20+ 🔨 Build Hospice regulations, training materials, SOPs, policy templates, Q&A
15 Forms Engine MCP 15+ 🔨 Build Survey deployment, form creation, data collection, completion tracking
16 Dashboard/Reporting MCP 20+ 🔨 Build Operational dashboards, financial reports, KPI tracking, data visualization

Total Tools: 350+
Already Built: 3 servers (105+ tools)
To Build: 13 servers (245+ tools)


Automation Readiness Matrix

Using your own framework, here's every service categorized:

Fully Automatable (22 services)

AI handles end-to-end. Human reviews output periodically but doesn't need to intervene for standard operations.

Service Pillar Agent
Quarterly Competitive Analysis Growth Rose
Social Media Automation Growth Rose
Inservice Suite Growth Rose
EOD/Daily Reporting Tool Growth Kit
Marketing Assistant Bot Growth Ada
Website Chat Bot Growth Ada
Monthly PPD Expense Analysis Finance Vera
Medicare Hospice CAP Monitoring Finance Vera
Post-Payroll Staff Cost Analysis Finance Vera
Virtual DON AI Assistant (Intake) Ops Nora
Digital Form Management Ops Nora
Education Toolbox Ops Nora
Caregiver Satisfaction Monitoring Ops Nora
Hospice Agency Knowledge Hub Ops Nora
Operational Dashboard Ops Nora
Job Description Generator Talent Harper
Volunteer Recruitment Service Talent Harper
Employee Engagement Monitoring Talent Harper
Team Building Activities Generator Talent Harper
HR Knowledge Hub Talent Harper
HR & Compliance Hotline Talent Harper

🟡 Mostly Automated (17 services)

AI does 70-90% of the work. Human approves, reviews, or handles edge cases.

Service Pillar Agent Human Touch Point
Collateral System Growth Rose Final design review
Google Ad Management Growth Rose Budget changes above threshold
Website Management Growth Rose Structural changes
Sales Enablement Package Growth Kit Coaching delivery
CRM Management Growth Kit Strategic pipeline changes
Bonus Plan Templates Growth Kit Final plan approval
Monthly Financial Reporting Finance Vera Number validation
Quarterly Competitive Benchmarking Finance Vera Strategic context
AP Management System Finance Vera Payment approval
Comprehensive Contract Management Finance Vera Negotiations
Technical Auditing Ops Miles Finding review
Survey Readiness System Ops Miles Deficiency remediation
Quality Agency Review Ops Miles Interpretation & action
Policy & Procedure Generator Ops Nora Adoption approval
IT Helpdesk (Tier 1) Ops Felix Complex escalations
Hospice Hiring for Excellence Talent Harper Hiring decisions
Recruitment Marketing (ads) Talent Harper Video production

🔵 Human-Led with AI Assist (8 services)

Human drives the process. AI provides research, drafts, data, and recommendations.

Service Pillar Agent AI Contribution
PULSE™ Sales Methodology Training Growth Kit Materials, quizzes, tracking
Referral-to-Admission Process Growth Kit Templates, metrics, bottleneck ID
Clinical Eligibility AI Growth Ada Preliminary assessment (always human-reviewed)
Quarterly Profit Opportunity Analysis Finance Vera Data analysis, initial recommendations
Clinical Auditing Ops Miles Documentation flagging
ADR Response Support Ops Miles Document assembly, draft responses
IT Management (Tier 2/3) Ops Felix Research, documentation, tracking
Recruitment Video Production Talent Harper Scripts, storyboards, distribution

Coordination Layer

Same proven architecture from the original proposal, now scaled for 8 agents.

Unified Memory (SQLite)

All agents share a single SQLite database for memory, messaging, tasks, and client context. Schema remains the same — it scales cleanly.

-- Core tables (same as v1)
-- memory, agent_messages, tasks, shared_context

-- NEW: Service delivery tracking
CREATE TABLE service_delivery (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    client_id TEXT NOT NULL,
    pillar TEXT NOT NULL,           -- 'growth', 'finance', 'ops', 'talent'
    service_name TEXT NOT NULL,
    agent_id TEXT NOT NULL,
    status TEXT DEFAULT 'active',   -- 'active', 'paused', 'completed'
    automation_tier TEXT,           -- 'full', 'mostly', 'human_led'
    last_executed TIMESTAMP,
    next_scheduled TIMESTAMP,
    delivery_notes TEXT,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

-- NEW: Client configuration
CREATE TABLE client_config (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    client_id TEXT NOT NULL,
    service_name TEXT NOT NULL,
    config_key TEXT NOT NULL,
    config_value TEXT NOT NULL,
    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

-- NEW: Compliance audit log (critical for healthcare)
CREATE TABLE audit_log (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    agent_id TEXT NOT NULL,
    action_type TEXT NOT NULL,
    entity_type TEXT,
    entity_id TEXT,
    details JSON,
    ip_address TEXT,
    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Agent Communication — Handoff Examples

Trigger From To Method
New client signed Dot All pillar leads Broadcast with client config
Financial anomaly detected Vera Dot Urgent message to CEO assistant
Survey readiness gap found Miles Nora Task with clinical context
Job posting needed Harper Rose Request for recruitment content
Technical issue reported Any agent Felix Escalation with diagnostic info
Competitive threat identified Rose Kit Intelligence brief for sales team
CAP threshold approaching Vera Dot + Nora Alert with recommended actions

Implementation Timeline

Phase 1: Core Platform + Growth Accelerator (Weeks 1-5)

Get the foundation right and deliver the most visible pillar first.

Week 1: Foundation

  • Deploy coordination layer (SQLite + 8-agent framework)
  • Configure GoHighLevel MCP (already built)
  • Build Google Workspace MCP
  • Set up agent base configurations (all 8 agents)
  • Establish audit logging system

Week 2: Growth — Marketing Stack

  • Build LinkedIn MCP
  • Build Design Generator MCP
  • Build Web Scraping MCP
  • Configure Rose: social media automation, competitive analysis
  • Initial testing: content generation pipeline

Week 3: Growth — Sales Stack

  • Build Whisper Transcription MCP
  • Build Knowledge Base MCP (foundation — used across all pillars)
  • Configure Kit: CRM management, EOD reporting, sales enablement
  • Configure Google Ads MCP + Meta Ads MCP (already built)
  • Test: lead-to-pipeline workflows

Week 4: Growth — Technology/AI

  • Build Comms/Telegram MCP
  • Configure Ada: marketing bot, website chatbot framework
  • Build Forms Engine MCP (foundation — used across pillars)
  • Configure Dot: CEO assistant, cross-pillar coordination
  • Test: chatbot interactions, inservice generation

Week 5: Growth — Integration & Testing

  • End-to-end testing of all Growth Accelerator services
  • Agent-to-agent handoff testing within Pillar 1
  • Rose + Kit + Ada coordination workflows
  • Client demo preparation
  • Milestone: Pillar 1 live for first client

Phase 2: Finance Navigator + Operations Foundation (Weeks 6-9)

Week 6: Finance Stack

  • Build QuickBooks MCP
  • Build Dashboard/Reporting MCP
  • Configure Vera: financial reporting, PPD analysis, CAP monitoring

Week 7: Finance Operations

  • Build Document Intelligence MCP
  • Configure Vera: AP management, contract management
  • Test: financial report generation pipeline
  • Test: CAP monitoring alerts

Week 8: Operations — Compliance

  • Configure Miles: technical auditing, survey readiness, quality review
  • Extend Knowledge Base MCP with regulatory content
  • Configure audit workflow: AI flags → human review
  • Test: compliance scanning workflows

Week 9: Operations — Integration

  • End-to-end testing of Finance + Compliance services
  • Cross-pillar handoffs (Vera ↔ Miles ↔ Dot)
  • Financial dashboard integration
  • Milestone: Pillars 1-2 live, Pillar 3 compliance services live

Phase 3: Clinical Ops + Talent Solutions (Weeks 10-13)

Week 10: Clinical Operations

  • Configure Nora: Virtual DON, digital forms, education toolbox
  • Extend Forms Engine MCP with clinical form templates
  • Knowledge Hub population with hospice regulations
  • Test: clinical documentation workflows

Week 11: Clinical Ops Continued + IT

  • Configure Nora: caregiver satisfaction, policy generator, operational dashboard
  • Configure Felix: IT helpdesk Tier 1, platform monitoring
  • Test: survey deployment, satisfaction tracking
  • Test: IT ticket routing

Week 12: Talent Solutions

  • Configure Harper: hiring system, job descriptions, recruitment marketing
  • Configure Harper: engagement monitoring, HR knowledge hub, compliance hotline
  • Test: applicant tracking workflows
  • Test: HR Q&A system

Week 13: Integration

  • End-to-end testing across all 4 pillars
  • All agent-to-agent handoffs validated
  • Cross-pillar dashboard (all services visible)
  • Milestone: All 4 pillars operational

Phase 4: Clinical AI + Polish + Training (Weeks 14-16)

Week 14: Clinical Eligibility AI

  • Build Clinical Eligibility AI assessment engine
  • Implement strict human-in-the-loop for all clinical decisions
  • HIPAA compliance validation
  • Medical terminology training for Knowledge Base

Week 15: Polish & Optimization

  • Performance optimization across all agents
  • Edge case handling and error recovery
  • Monitoring and alerting setup
  • Load testing with multi-client scenarios

Week 16: Documentation & Training

  • Complete documentation package
  • Team training sessions (Solvr staff)
  • Client onboarding playbook
  • Go-live preparation
  • Milestone: Full platform launch

Responsibility Matrix

What OpenClaw Provides

  • All 16 MCP servers — full source code, documented, tested
  • 8 agent configurations — system prompts, personalities, tool assignments, workflow logic
  • Coordination layer — SQLite schema, routing, handoffs, audit logging
  • Knowledge Base foundation — regulatory content structure, template library framework
  • Dashboard framework — reporting templates, data visualization
  • Deployment to your infrastructure
  • Complete documentation package (architecture, API reference, playbooks, runbooks)
  • Team training (up to 4 sessions, 2 hours each)
  • 60-day post-launch support (up from 30 — bigger system needs more runway)
  • 90-day bug fixes

What Solvr Provides

  • 🔲 API credentials for all platforms (GHL, Google, LinkedIn, Meta, QuickBooks, Notion)
  • 🔲 Hosting infrastructure (VPS or cloud — we'll recommend specs)
  • 🔲 Access to existing systems for integration testing
  • 🔲 Hospice regulatory content for Knowledge Base (we'll structure it, you provide source material)
  • 🔲 Clinical form templates and existing SOPs
  • 🔲 Financial report templates / desired format examples
  • 🔲 Brand guidelines for design generation
  • 🔲 Client information for initial onboarding (first 1-3 pilot clients)
  • 🔲 Team availability for training sessions
  • 🔲 Designated point of contact for each pillar during build
  • 🔲 HIPAA compliance guidance and BAA requirements (for Clinical Eligibility AI)
  • 🔲 Feedback and testing during each phase

Risk Assessment & Mitigation

High Priority Risks

1. Clinical Eligibility AI — HIPAA & Liability

Risk: Processing patient health information (PHI) through AI raises HIPAA compliance and clinical liability concerns.
Impact: High — regulatory penalties, malpractice exposure
Mitigation:

  • All clinical AI outputs are advisory only — clearly labeled "AI-generated, requires clinical review"
  • No PHI is stored in AI memory or training data
  • Human clinician must approve every eligibility determination
  • Audit log captures every interaction with timestamps
  • BAA (Business Associate Agreement) required with any cloud providers
  • We recommend consulting a healthcare compliance attorney before deploying this specific service
  • This is Phase 4 for a reason — we get everything else stable first

2. LinkedIn Automation — Account Restrictions

Risk: LinkedIn actively detects and restricts automated activity. Account bans can damage professional reputation.
Impact: Medium — account loss, reputation impact
Mitigation:

  • All LinkedIn posts go through human approval queue before publishing
  • Rate limiting: no more than 2-3 posts per day, human-like timing
  • No automated connection requests or InMail (highest ban risk)
  • Use LinkedIn's official API where available
  • Consider a dedicated brand account separate from personal profiles
  • Written acknowledgment of risk before activation

3. Clinical Auditing — Scope of Practice

Risk: AI-generated audit findings could be misinterpreted as clinical determinations.
Impact: High — liability, regulatory issues
Mitigation:

  • AI role is explicitly documentation review and flagging — never clinical judgment
  • All outputs labeled: "Preliminary findings — requires review by qualified auditor"
  • Human clinician or auditor signs off on every audit report
  • Clear documentation of AI vs. human responsibilities

4. Financial Data Accuracy

Risk: Automated financial reports with errors could lead to bad business decisions.
Impact: Medium-High — financial exposure
Mitigation:

  • All financial reports include "AI-generated" watermark
  • Monthly Financial Reporting remains "Mostly Automated" — human validates numbers
  • CAP monitoring includes configurable alert thresholds (conservative defaults)
  • Reconciliation checks built into QuickBooks MCP workflows

Medium Priority Risks

5. Multi-Client Data Isolation

Risk: As Solvr onboards multiple hospice clients, data from one client could leak to another.
Impact: High if it happens, preventable by design
Mitigation:

  • Strict client-level data partitioning in all database tables
  • Agent context windows cleared between client operations
  • API credentials scoped per-client where possible
  • Regular isolation audits

6. API Rate Limits & Costs

Risk: High-volume automation could hit API rate limits or generate unexpected costs.
Impact: Low-Medium — service disruptions, cost overruns
Mitigation:

  • Rate limiting built into all MCP servers
  • Cost monitoring alerts for LLM API usage
  • Batch operations where possible to reduce API calls
  • Clear documentation of expected API costs per service

7. LLM Hallucination in Knowledge Systems

Risk: Knowledge Hub, HR Hotline, or Virtual DON could generate inaccurate information.
Impact: Medium — misinformation, compliance issues
Mitigation:

  • RAG (Retrieval Augmented Generation) architecture — AI answers from your verified content, not general knowledge
  • Source citations included in every response
  • Confidence scoring — low-confidence answers flagged for human review
  • Regular knowledge base audits and content updates

ROI Projections

For Solvr (Internal)

Current state assumption: To deliver the full 47-service catalog manually, Solvr would need approximately 8-12 FTEs across marketing, finance, operations, clinical, and HR functions.

Metric Without AI Platform With AI Platform Savings
FTEs needed for full catalog 8-12 3-5 3-7 FTEs ($150K-$350K/yr)
Time to onboard new client 2-3 weeks 2-3 days 80% reduction
Services deliverable per FTE 4-6 services 12-15 services 2.5x increase
Report generation time 4-8 hours each 15-30 minutes 90% reduction
Client capacity (total) 10-15 clients 30-50+ clients 3x+ increase

For Solvr's Clients (Hospice Agencies)

Client Benefit Estimated Impact
Competitive analysis delivery time From 2 weeks → 48 hours
Financial reporting cycle From 10+ business days → 2 business days
Survey readiness assessment From quarterly manual → continuous automated
HR question response time From next business day → immediate (24/7)
Employee engagement tracking From annual survey → monthly pulse
IT helpdesk (Tier 1) response From hours → minutes
CAP monitoring From quarterly check → real-time alerts

Payback Period

At $57,500 investment + ~$3,000/month retainer + ~$500-1,500/month infrastructure costs:

  • If AI replaces 3 FTEs worth of work: Payback in ~3-4 months
  • If AI enables 10 additional clients at $3K/mo average: Payback in ~2 months
  • Conservative estimate: Full ROI within 6 months of Phase 1 launch

The real value isn't just cost savings — it's scalability without proportional headcount growth. Every new hospice client Solvr onboards gets the full service catalog without hiring another person.


Investment

Project Total: $57,500

Phase Timeline Description Investment
Phase 1: Core Platform + Growth Accelerator Weeks 1-5 Coordination layer, 8 agent framework, 8 MCP servers, all Growth services $22,000
Phase 2: Finance Navigator + Ops Foundation Weeks 6-9 QuickBooks MCP, Dashboard MCP, Document Intelligence MCP, financial + compliance services $15,000
Phase 3: Clinical Ops + Talent Solutions Weeks 10-13 Clinical operations, talent services, IT helpdesk, full integration $12,500
Phase 4: Clinical AI + Polish + Training Weeks 14-16 Clinical Eligibility AI, optimization, documentation, training $8,000

Phase Breakdown Detail

Phase 1 — $22,000

  • 8 MCP servers (LinkedIn, Design Gen, Web Scraping, Knowledge Base, Comms, Forms Engine + config of 3 existing)
  • 8-agent coordination layer with audit logging
  • All Growth Accelerator services (18 services across Marketing, Sales, Tech/AI)
  • Agent personalities, prompts, and workflow configuration

Phase 2 — $15,000

  • 3 MCP servers (QuickBooks, Dashboard/Reporting, Document Intelligence)
  • All Finance Navigator services (8 services)
  • Compliance & auditing services (5 services)
  • Cross-pillar financial dashboards

Phase 3 — $12,500

  • Clinical operations services (7 services)
  • All Talent Solutions services (9 services)
  • IT helpdesk configuration
  • Full cross-pillar integration and testing

Phase 4 — $8,000

  • Clinical Eligibility AI (careful, compliance-first build)
  • System-wide optimization and hardening
  • Complete documentation package
  • Team training (4 sessions)
  • Client onboarding playbook

Payment Schedule

Milestone Amount Trigger
Project kickoff $17,250 (30%) Signed agreement
Phase 1 complete $14,375 (25%) Pillar 1 live and demonstrated
Phase 2 complete $11,500 (20%) Pillars 2-3 compliance live
Phase 3 complete $8,625 (15%) All 4 pillars operational
Phase 4 complete $5,750 (10%) Full launch, training complete

After project completion, we recommend a monthly retainer to cover:

Tier Monthly Includes
Standard $2,500/mo Bug fixes, minor enhancements, 8 hours support, MCP server updates
Growth $3,500/mo Everything in Standard + new service buildouts (up to 2/month), 16 hours support, priority response
Enterprise $4,500/mo Everything in Growth + dedicated Slack channel, same-day response, unlimited minor enhancements, quarterly strategy reviews

We recommend starting with Growth tier for the first 3 months post-launch, then evaluating.

Estimated Ongoing Infrastructure Costs (Client-Paid)

Item Monthly Estimate
Hosting (8 agents + 16 MCP servers) $100-300 (VPS/cloud)
LLM API usage (Claude/GPT) $500-1,500 depending on client volume
LinkedIn API (Unipile or similar) $49-200
QuickBooks API Included with QBO subscription
Other third-party APIs $50-200
Total Estimated $700-2,200/month

Scales with number of clients and service utilization. Conservative estimates assume 5-10 active hospice clients.


Deliverables Summary

Code & Infrastructure

Deliverable Quantity
MCP Servers (full source code) 16
Agent Configurations 8
Coordination Layer 1 (SQLite + routing + audit)
Deployment Scripts Docker/systemd configs
Monitoring Dashboard Agent activity + error tracking
Client Onboarding Automation Template for new hospice clients

Documentation

Document Description
Architecture Guide Full system overview, data flows, security model
MCP Server Reference Every tool, parameters, examples
Agent Playbooks How each agent handles scenarios per service
Service Catalog Map Your 47 services → AI capabilities
Runbook Troubleshooting, maintenance, updates
Training Materials Team onboarding for working with agents
Client Onboarding Guide How to add a new hospice client to the platform

Support

Item Duration
Implementation Support 16 weeks (included)
Post-Launch Support 60 days
Bug Fixes 90 days

Why OpenClaw for This?

Healthcare AI Requires Precision

This isn't a generic chatbot project. Hospice consulting touches clinical decisions, financial compliance, and regulatory requirements. We build with:

  • Audit trails on every AI action
  • Human-in-the-loop for all clinical and financial determinations
  • Data isolation between clients
  • Source-cited knowledge base responses (no hallucination-prone freeform answers)

Our MCP Advantage

  • 105+ tools already built across GoHighLevel, Google Ads, and Meta Ads
  • 30+ MCP servers built across industries — we know the patterns
  • Full code ownership — you own everything, no vendor lock-in
  • No recurring platform fees — just your infrastructure and LLM costs

Scale-Ready Architecture

The system we're building doesn't just work for your first 5 clients — it's designed to serve 50+ hospice agencies without architectural changes. Add a new client → configure their services → the agents start delivering.


Next Steps

  1. Review this proposal — take your time, mark up anything that needs clarification
  2. Discovery call — we'll walk through the expanded discovery questions to finalize technical requirements
  3. Pillar prioritization — confirm Growth Accelerator as Phase 1 (or adjust)
  4. Agreement & kickoff — sign, fund Phase 1, and we start building
  5. Weekly check-ins — every Friday during implementation

Prepared by: Jake Shore, OpenClaw
Prepared for: Zack Lee, Solvr
Date: February 2026


This proposal is valid for 30 days from the date above.