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
- Architecture Overview
- Agent Team — Expanded
- Pillar 1: Growth Accelerator
- Pillar 2: Finance Navigator
- Pillar 3: Operations Optimizer
- Pillar 4: Talent Solutions
- MCP Server Inventory
- Automation Readiness Matrix
- Coordination Layer
- Implementation Timeline
- Responsibility Matrix
- Risk Assessment & Mitigation
- ROI Projections
- Investment
- 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 |
Ongoing Retainer (Recommended)
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
- Review this proposal — take your time, mark up anything that needs clarification
- Discovery call — we'll walk through the expanded discovery questions to finalize technical requirements
- Pillar prioritization — confirm Growth Accelerator as Phase 1 (or adjust)
- Agreement & kickoff — sign, fund Phase 1, and we start building
- 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.