120-Day Platform Transformation - Execution Plan
Project: ComplyAI Platform Transformation Engagement For: Francis (CFO) and Maria (CEO) Prepared By: SkaFld Studio (Charles & Mike) Date: November 4, 2025 Contract Reference: Consulting Agreement Exhibit A - Scope of Work Timeline: 120 Days (Days 1-120)
Executive Summary
This document provides the detailed 120-day execution plan for ComplyAI's platform transformation engagement, as outlined in our consulting agreement. The plan is structured across the three contractual stages: Emergency Stabilization (Days 1-30), Ecosystem Modernization (Days 31-90), and AI-Driven Development (Days 91-120).
Transformation Timeline Overview
Stage 1 - Emergency Stabilization (Days 1-30) ✅ COMPLETE
- Investment: $20K (monthly SOW fee)
- Deliverables: Access audit, AI-assisted discovery, security scans, immediate reliability improvements, business assessment, data catalog
- Status: Stage 1 discoveries complete and documented
Stage 2 - Ecosystem Modernization (Days 31-90) 📋 READY TO BEGIN
- Investment: $60K ($20K/month SOW fee × 3 months + ~$10K/month additional development)
- Deliverables: Cloud re-architecture, CI/CD pipeline, monitoring/alerting, customer health dashboards
- Timeline: 60 days starting Day 31
Stage 3 - AI-Driven Development (Days 91-120) 🚀 PLANNED
- Investment: $20K (monthly SOW fee)
- Deliverables: Churn prediction models, AI feature prioritization, automated QA, knowledge base/handover
- Timeline: 30 days starting Day 91
Total Contracted Investment: ~$100K over 120 days Expected Platform ROI: $7-10K/month operational savings + enhanced reliability + AI capabilities
Critical Success Factors
- Stage-Gated Progress: Each stage validates success criteria before proceeding to next
- Clear Dependencies: Stage 2 requires Stage 1 foundation, Stage 3 requires Stage 2 platform
- Parallel Business Operations: Business continuity work (pre-checker, customer success) runs alongside transformation
- Weekly Governance: Regular check-ins with Francis and Maria ensure alignment
- Measurable Outcomes: Technical and business metrics validate each stage's success
Stage 1 - Emergency Stabilization (Days 1-30) ✅ COMPLETE
Overview
Contracted Deliverables (Per SOW):
- Access audit and credential lockdown
- AI-assisted discovery (code, data, infrastructure documentation)
- Security and performance scans
- Immediate reliability improvements identification
- Business operations assessment and technology recommendations
- Data catalog and lineage mapping
Status: All Stage 1 deliverables complete. See Audit Findings for complete Stage 1 discovery results.
Key Achievements:
- ✅ 13 microservices documented with dependency mapping
- ✅ 47 security vulnerabilities identified and prioritized (12 high, 18 medium, 17 low)
- ✅ $7-10K/month AWS cost optimization opportunities discovered
- ✅ Complete data catalog created for Stage 3 AI readiness
- ✅ Business operations and technology gaps assessed
- ✅ Platform readiness for Stage 2 modernization validated
Investment: $20K (monthly SOW fee) Timeline: Days 1-30 (October-November 2025)
Stage 1 Success Criteria Validation
| Success Criterion | Status | Evidence |
|---|---|---|
| Access audit complete | ✅ | Credential inventory and SSO recommendations documented |
| Codebase discovered | ✅ | 13 microservices mapped with tech stack analysis |
| Security scan complete | ✅ | 47 vulnerabilities prioritized with remediation plan |
| Infrastructure cataloged | ✅ | AWS topology, cost optimization plan created |
| Data lineage mapped | ✅ | ETL processes, data sources/sinks documented |
| Business assessment done | ✅ | Operations analysis and tech recommendations delivered |
Stage 2 - Ecosystem Modernization (Days 31-90) 📋 READY TO BEGIN
Overview
Contracted Deliverables (Per SOW):
- Cloud environment re-architecture for scale and cost efficiency
- CI/CD pipelines, automated testing, and quality gates
- Real-time monitoring, alerting, and incident response workflows
- Customer-health dashboards for instant visibility into user experience
Investment: ~$60K ($20K/month SOW fee × 3 months + ~$10K/month additional development resources) Timeline: Days 31-90 (60 days, approximately 3 months) Dependencies: Stage 1 discoveries complete ✅
Days 31-60 (Months 2-3): Foundation & CI/CD
SkaFld Studio Deliverables:
Week 5-6 (Days 31-44): Infrastructure Assessment & Planning
- Detailed AWS infrastructure audit and optimization plan
- Reserved instance and savings plan analysis
- Auto-scaling configuration review and rightsizing recommendations
- CDN implementation plan for static assets
- Database performance tuning roadmap
- Deliverable: Complete cloud modernization plan with cost projections
Week 7-8 (Days 45-58): CI/CD Pipeline Development
- GitHub Actions workflow setup for all 13 microservices
- Automated unit and integration test framework
- Blue-green deployment strategy implementation
- Automated rollback procedures
- Staging environment provisioning and configuration
- Deliverable: Working CI/CD pipeline with automated testing
Week 9-10 (Days 59-74): Infrastructure Migration Phase 1
- Begin AWS cost optimization implementation
- Auto-scaling groups configured and tested
- Database performance optimizations deployed
- CloudFront CDN implementation
- Reserved instance purchases (with Francis approval)
- Deliverable: 30-50% AWS cost reduction achieved
Francis & Maria Responsibilities (Days 31-60):
- Review and approve cloud modernization plan (Week 5)
- Allocate budget for reserved instances (~$20-30K upfront investment)
- Participate in weekly transformation progress reviews
- Validate staging environment matches production requirements
- Sign off on CI/CD pipeline before production deployment
Days 61-90 (Month 3): Monitoring & Customer Health Dashboards
SkaFld Studio Deliverables:
Week 11-12 (Days 75-88): Observability Implementation
- Datadog or New Relic deployment across all 13 services
- Custom dashboards for platform health, performance, errors
- PagerDuty integration and on-call rotation setup
- Automated alerting configured (SLOs, error thresholds)
- Distributed tracing for request flow visualization
- Log aggregation and analysis platform
- Deliverable: Comprehensive monitoring and alerting infrastructure
Week 13 (Days 89-90): Customer Health Dashboard Beta
- Customer health scoring algorithm development
- Real-time dashboard prototype for 18 customers
- Churn risk early warning system (automated alerts)
- Usage analytics and feature adoption tracking
- Integration with customer success workflow (Slack alerts)
- Deliverable: Beta customer health dashboard ready for validation
Francis & Maria Responsibilities (Days 61-90):
- Define customer health scoring criteria and weights (Week 11)
- Review dashboard mockups and provide feedback (Week 12)
- Establish on-call rotation and escalation procedures
- Define workflow for churn risk alerts (who responds, SLA)
- Validate customer health dashboard with real data (Week 13)
Stage 2 Success Criteria
| Success Criterion | Target | Validation Method |
|---|---|---|
| AWS costs reduced | 50-70% ($7-10K/month savings) | Monthly AWS bill comparison |
| Deployment time | < 15 minutes (from hours) | CI/CD pipeline metrics |
| Platform uptime | 99.9%+ | Monitoring dashboards |
| Test coverage | 80%+ of critical paths | Code coverage reports |
| MTTD (Mean Time To Detect) | < 5 minutes | Incident logs |
| Customer health visibility | Real-time for all 18 customers | Dashboard operational |
Stage 2 Completion Gate: All success criteria must be validated before proceeding to Stage 3
Stage 3 - AI-Driven Development (Days 91-120) 🚀 PLANNED
Overview
Contracted Deliverables (Per SOW):
- Behavior-prediction and churn-prevention models
- AI-powered feature-prioritization engine tied to product analytics
- Automated QA and user-experience analytics for continuous feedback
- Knowledge base and handover package for ComplyAI's team
Investment: $20K (monthly SOW fee) Timeline: Days 91-120 (30 days, approximately 1 month) Dependencies: Stage 2 complete (customer health dashboards operational, monitoring in place)
Days 91-105 (Weeks 14-15): AI Model Development
SkaFld Studio Deliverables:
Week 14 (Days 91-97): Churn Prediction Model
- Historical churn data analysis and feature engineering
- ML model development (Random Forest, XGBoost, or Neural Network)
- Model training on customer behavior, usage patterns, support interactions
- Model accuracy validation (target: 80%+ on historical data)
- Integration with customer health dashboards from Stage 2
- Deliverable: Working churn prediction model with 80%+ accuracy
Week 15 (Days 98-105): Feature Prioritization Engine
- Product analytics instrumentation (feature usage, adoption rates)
- Customer value scoring algorithm (retention, expansion, referral drivers)
- AI recommendation engine for roadmap prioritization
- A/B testing framework setup
- Integration with product management workflow
- Deliverable: AI-powered feature prioritization recommendations
Francis & Maria Responsibilities (Days 91-105):
- Validate churn model predictions against business intuition
- Define intervention strategies for different churn risk levels
- Define product success metrics and prioritization criteria
- Review AI recommendations and validate against strategy
Days 106-120 (Weeks 16-17): QA Automation & Handover
SkaFld Studio Deliverables:
Week 16 (Days 106-112): Automated QA & UX Analytics
- Automated E2E testing for critical user workflows
- Real user monitoring (RUM) for frontend performance
- Session replay for bug investigation
- Error tracking with user context
- UX metrics dashboard (page load, interaction delays, errors)
- Deliverable: Automated QA covering 90%+ of critical journeys
Week 17 (Days 113-120): Knowledge Transfer & Handover
- Complete technical documentation (architecture, deployment, troubleshooting)
- Operational runbooks for common scenarios
- Video tutorials for platform administration
- Team training sessions (Francis, Maria, technical staff)
- Handover validation (team demonstrates self-sufficiency)
- Post-handover support plan
- Deliverable: Complete knowledge base and validated team self-sufficiency
Francis & Maria Responsibilities (Days 106-120):
- Participate in all training sessions (Week 17)
- Review and validate documentation completeness
- Demonstrate operational self-sufficiency (hands-on validation)
- Provide feedback on knowledge gaps
- Sign off on transformation completion
Stage 3 Success Criteria
| Success Criterion | Target | Validation Method |
|---|---|---|
| Churn prediction accuracy | 80%+ on historical data | Model validation report |
| Feature prioritization ROI | Measurable impact on decisions | Tracked recommendations |
| Automated QA coverage | 90%+ of critical journeys | Test coverage reports |
| Team self-sufficiency | Independent platform ops | Hands-on demonstration |
| Documentation completeness | 100% of operations covered | Documentation review |
| Knowledge transfer | < 2 support requests/week post-handover | Support ticket tracking |
Stage 3 Completion Gate: All deliverables validated, team demonstrates self-sufficiency, transformation complete
Business Continuity Operations (Parallel to Transformation)
Overview
While the 120-day platform transformation executes across the three SOW stages, ComplyAI must maintain business operations: customer success, product quality improvements (data accuracy stabilization), and revenue generation. These activities run parallel to the transformation and are managed by Francis and Maria.
Key Principle: Business continuity work complements but does not replace the contracted SOW deliverables. The transformation team (SkaFld Studio) focuses on platform modernization, while the business team (Francis & Maria) focuses on customer relationships and product quality.
Francis (CFO) - Ongoing Operational Priorities
Priority 1: Product Stability - Current Product Data Accuracy (Parallel to SOW, Not Part of Contracted Scope)
- Fix database field mapping issues (campaign_effective_status → ad_status)
- Correct dashboard count mismatches across views
- Build value demonstration dashboard (historical tracking, ROI proof)
- Note: This is a business continuity priority that complements but does not replace the platform transformation deliverables
- Investment: $15-25K over 90 days
- Success Metric: Data accuracy stable, customer satisfaction 20% → 60%+, churn 50% → <20%
Priority 2: Customer Success Operations
- Monthly health check-ins with all 18 customers
- Proactive issue resolution and relationship management
- Quarterly business reviews with top accounts
- Upsell and expansion opportunity identification
- Success Metric: 100% retention through transformation period
Priority 3: Operational Efficiency
- Implement HubSpot CRM workflows for customer success automation
- Set up health score tracking and at-risk alerts
- Cancel unnecessary subscriptions ($3-7K/month potential savings)
- Document and optimize service delivery processes
- Success Metric: 50%+ reduction in manual operational tasks
Maria (CEO) - Ongoing Operational Priorities
Priority 1: Sales Pipeline Development
- Warm outreach to existing network (10-20 prospects/month)
- Discovery call execution and qualification
- Deal closing focus (target: 2-3 new customers by Month 3)
- Referral program implementation
- Success Metric: 30-50 qualified prospects, 2-3 new customers by end of Stage 2
Priority 2: Marketing & Demand Generation
- SEO content creation (2-4 articles/month on Meta compliance topics)
- Google Ads campaigns for high-intent keywords
- LinkedIn thought leadership and community building
- Webinar series on compliance best practices
- Success Metric: Consistent lead flow (15-25 leads/month by Month 3)
Priority 3: Customer Communication & Market Positioning
- Communicate platform improvements to customers as transformation progresses
- Case study development and customer success stories
- Industry conference speaking opportunities
- Strategic partnership development
- Success Metric: Market visibility, customer advocacy, thought leadership recognition
Parallel Execution Strategy
Key Principle: The platform transformation (SOW Stages 1-3) and business continuity operations run in parallel, not in sequence. SkaFld Studio focuses on platform modernization while Francis and Maria focus on customer relationships, product quality, and revenue generation.
Weekly Coordination:
- Monday: Review transformation progress with SkaFld Studio team
- Wednesday: Francis and Maria sync on business operations
- Friday: Weekly metrics review (customer health, pipeline, cash position)
Monthly Governance:
- Review transformation stage progress against success criteria
- Assess business continuity outcomes (retention, acquisition, efficiency)
- Adjust priorities based on performance data
- Align on next month's focus areas
Success Metrics & Validation
Stage 2 Completion Validation (Day 90)
Before proceeding to Stage 3, validate all Stage 2 success criteria:
| Success Criterion | Target | Status | Validation Method |
|---|---|---|---|
| AWS cost reduction | $7-10K/month savings | ⏳ Pending | Monthly AWS bill comparison |
| CI/CD pipeline operational | < 15 min deployments | ⏳ Pending | Pipeline execution logs |
| Platform uptime | 99.9%+ | ⏳ Pending | Monitoring dashboards |
| Automated test coverage | 80%+ critical paths | ⏳ Pending | Code coverage reports |
| Customer health dashboards | Real-time for all customers | ⏳ Pending | Dashboard functionality test |
| Mean Time To Detect (MTTD) | < 5 minutes | ⏳ Pending | Incident response logs |
Gate Criteria: All Stage 2 success criteria must be validated before Stage 3 begins. If any criteria are not met, address gaps before proceeding.
Stage 3 Completion Validation (Day 120)
Final transformation validation:
| Success Criterion | Target | Status | Validation Method |
|---|---|---|---|
| Churn prediction model | 80%+ accuracy | ⏳ Pending | Validation on historical data |
| Feature prioritization ROI | Measurable impact | ⏳ Pending | Tracked recommendations |
| Automated QA coverage | 90%+ critical journeys | ⏳ Pending | Test coverage reports |
| Team self-sufficiency | Independent operations | ⏳ Pending | Hands-on demonstration |
| Documentation complete | 100% operations covered | ⏳ Pending | Documentation review |
| Post-handover support | < 2 requests/week | ⏳ Pending | Support ticket tracking |
Transformation Completion: All Stage 3 deliverables validated, knowledge transfer complete, ComplyAI team demonstrates platform self-sufficiency.
Business Continuity Validation (Parallel Metrics)
Throughout the 120-day transformation, track business continuity performance:
| Metric | Baseline (Month 0) | Month 1 Target | Month 2 Target | Month 3 Target | Month 4 Target |
|---|---|---|---|---|---|
| Customers | 9 | 9 (0% churn) | 9-10 | 10-11 | 11-12 |
| MRR | $88K | $88K | $90-95K | $95-105K | $100-110K |
| Monthly Burn | -$15K | -$12K | -$8K to -$10K | -$5K to -$8K | $0 to -$5K |
| Cash Reserves | $195K | $190K | $185-190K | $180-190K | $185-195K |
| Pipeline (Leads) | Unknown | 15-20 | 30-40 | 50-70 | 70-100 |
Note: Business continuity metrics are tracked separately from platform transformation deliverables. Both must succeed for overall engagement success.
Risk Management
Transformation Risks
Risk 1: Stage Dependencies Not Met
- Description: Stage 2 or 3 cannot proceed because previous stage success criteria not validated
- Mitigation: Stage-gated validation with clear success criteria; address gaps before proceeding
- Contingency: Extend stage timeline, de-scope deliverables, or adjust success criteria with client approval
Risk 2: AWS Cost Optimization Delays
- Description: Reserved instance commitments or infrastructure changes delayed
- Mitigation: Front-load infrastructure assessment and planning; secure budget approval early
- Contingency: Implement quick-win optimizations first (auto-scaling, rightsizing) while planning larger changes
Risk 3: CI/CD Pipeline Complexity
- Description: 13 microservices create integration complexity slowing CI/CD implementation
- Mitigation: Start with 2-3 critical services, validate approach, then scale to remaining services
- Contingency: Prioritize high-traffic services first, manual deployment for low-priority services initially
Risk 4: Customer Health Dashboard Data Quality
- Description: Insufficient or inconsistent data for meaningful customer health scoring
- Mitigation: Data quality assessment in Stage 1, implement tracking improvements in early Stage 2
- Contingency: Start with basic health indicators, enhance sophistication over time
Risk 5: AI Model Accuracy Below Target
- Description: Churn prediction or feature prioritization models don't achieve target accuracy
- Mitigation: Validate sufficient historical data in Stage 1, engage ML expertise early in Stage 3
- Contingency: Focus on simpler statistical models, enhance with AI over time as data quality improves
Business Continuity Risks
Risk 1: Customer Churn During Transformation
- Description: Customers leave during platform transformation period
- Mitigation: Proactive communication, monthly health checks, immediate intervention for at-risk accounts
- Contingency: Offer concessions/discounts to retain customers, prioritize retention over acquisition
Risk 2: Data Accuracy Stabilization Timeline Overruns
- Description: Field mapping fixes or dashboard corrections take longer than planned
- Mitigation: De-scope to critical fixes only, transparent communication with customers, set realistic expectations
- Contingency: Prioritize most impactful data accuracy issues first, communicate progress transparently
Risk 3: Sales Pipeline Underperformance
- Description: New customer acquisition below targets, threatening cash runway
- Mitigation: Weekly pipeline review, rapid adjustment of marketing tactics, focus on warm leads
- Contingency: Reduce burn rate aggressively, focus on retention and upsells vs new acquisition
Risk 4: Cash Runway Falls Below 6 Months
- Description: Operational costs exceed projections, threatening transformation completion
- Mitigation: Monthly cash flow forecasting, proactive cost optimization, stage-gated investment decisions
- Contingency: Reduce marketing spend, defer non-critical transformation elements, consider strategic financing
Governance & Communication
Weekly Transformation Check-Ins (30 minutes)
Attendees: Francis, Maria, SkaFld Studio team (Charles & Mike) Frequency: Every Monday at 10 AM PT Format: Video call (Zoom/Google Meet)
Agenda:
- Previous week accomplishments (SkaFld Studio) - 10 min
- Current week priorities and blockers - 10 min
- Success criteria progress review - 5 min
- Decisions needed from Francis/Maria - 5 min
Deliverable: Weekly progress update (async Slack/email summary if needed)
Monthly Transformation Reviews (60 minutes)
Attendees: Francis, Maria, SkaFld Studio team Frequency: Last Friday of each month at 2 PM PT Format: Video call with screen sharing
Agenda:
- Stage progress vs success criteria - 15 min
- Technical deep-dive on key deliverables - 20 min
- Business continuity performance review - 15 min
- Next month priorities and resource allocation - 10 min
Deliverable: Monthly transformation report with metrics dashboard
Stage Completion Reviews (90 minutes)
Attendees: Francis, Maria, SkaFld Studio team Timing: End of Stage 1 (Day 30), Stage 2 (Day 90), Stage 3 (Day 120) Format: In-person or extended video call with demos
Agenda:
- Stage deliverables walkthrough and demo - 30 min
- Success criteria validation - 20 min
- Lessons learned and adjustments - 15 min
- Next stage planning and alignment - 15 min
- Go/no-go decision for next stage - 10 min
Deliverable: Stage completion report with validation documentation
Tools & Technology Stack
Transformation Tools (SkaFld Studio)
Development & Deployment:
- GitHub Actions (CI/CD pipeline)
- Docker/ECS (containerization and orchestration)
- Terraform (infrastructure as code)
- AWS CloudFormation (cloud resource management)
Monitoring & Observability:
- Datadog or New Relic (application performance monitoring)
- PagerDuty (incident management)
- CloudWatch (AWS infrastructure monitoring)
- Sentry (error tracking)
AI/ML Development:
- Python (scikit-learn, TensorFlow, or PyTorch)
- Jupyter Notebooks (model development and validation)
- MLflow (model tracking and versioning)
- AWS SageMaker (model deployment)
Testing & Quality:
- Pytest/Jest (unit and integration testing)
- Selenium/Playwright (E2E testing)
- SonarQube (code quality analysis)
- Lighthouse (frontend performance)
Documentation:
- Confluence or Notion (technical documentation)
- Loom (video tutorials and walkthroughs)
- Mermaid (architecture diagrams)
- Markdown (runbooks and guides)
Business Continuity Tools (Francis & Maria)
Customer Success:
- HubSpot CRM (customer data and workflows)
- Slack (team communication and alerts)
- Zoom (customer calls and demos)
- Help Scout or Intercom (customer support - optional)
Sales & Marketing:
- HubSpot Marketing (email campaigns, lead nurture)
- Google Ads (SEM campaigns)
- Google Analytics (website analytics)
- LinkedIn Sales Navigator (prospect research)
- Calendly (meeting scheduling)
Project Management:
- ClickUp or Asana (task management)
- Google Workspace (docs, sheets, slides)
- Zapier (workflow automation)
- Loom (async video communication)
Financial Management:
- QuickBooks or Xero (accounting)
- Stripe (payment processing)
- Baremetrics (subscription analytics - optional)
- Google Sheets (cash flow forecasting)
Investment Summary
Platform Transformation Investment (SOW)
| Stage | Duration | SOW Fee | Additional Dev Resources | Total Investment |
|---|---|---|---|---|
| Stage 1 | Days 1-30 | $20K | - | $20K |
| Stage 2 | Days 31-90 | $60K ($20K × 3 months) | ~$30K ($10K × 3 months) | ~$90K |
| Stage 3 | Days 91-120 | $20K | - | $20K |
| Total | 120 days | $100K | ~$30K | ~$130K |
Note: Additional development resources estimate based on SOW scope and complexity. Final costs may vary based on actual implementation needs and will be approved by Francis before commitment.
Business Continuity Investment (Parallel Operations)
| Category | 4-Month Estimate | Key Activities |
|---|---|---|
| Data Accuracy & Value Dashboard | $15-25K | Field mapping fixes, dashboard corrections, value tracking |
| Marketing & Sales | $15-25K | Content creation, Google Ads, webinars, lead nurture |
| Customer Success | $5-10K | CRM setup, automation tools, process optimization |
| Technology | $5-10K | Subscription optimization, automation platforms |
| Total | $40-70K | Parallel to transformation over 120 days |
Combined 120-Day Investment
Total Investment: $170-200K
- Platform Transformation: $130K
- Business Continuity: $40-70K
Expected ROI:
- AWS cost savings: $2.5-3.5K/month ($10-14K over 120 days)
- Operational efficiency: 50%+ reduction in manual tasks
- Customer retention: 100% (18 customers maintained, 2-3 added to reach 20-21)
- Platform capabilities: CI/CD, monitoring, customer health tracking, AI models
- Knowledge transfer: Team self-sufficiency on modern platform
Net Position: Strong platform foundation with $195K cash supporting both transformation and business growth
Next Steps
Immediate Actions (This Week)
Francis:
- Review and approve this 120-day execution plan
- Confirm Stage 2 budget allocation and reserved instance investment authority
- Schedule weekly transformation check-ins with SkaFld Studio team
- Begin customer health assessment calls (target: complete all 9 by Week 2)
Maria:
- Review Stage 2 and Stage 3 deliverables and business alignment
- Prepare customer communication strategy for platform improvements
- Identify warm prospects for discovery calls during transformation
- Confirm marketing priorities and budget allocation
Both:
- Stage 1 completion validation meeting (60 minutes)
- Stage 2 kick-off planning (confirm priorities, timeline, resources)
- Align on success metrics and governance cadence
- Set up shared tracking dashboard for transformation and business metrics
Stage 2 Kick-Off (Week 5, Days 31-35)
SkaFld Studio:
- Present detailed cloud infrastructure optimization plan
- Review CI/CD pipeline architecture and implementation approach
- Confirm monitoring infrastructure design and tool selection
- Align on customer health dashboard requirements and metrics
Francis & Maria:
- Approve Stage 2 technical architecture and approach
- Commit Stage 2 budget and resource allocation
- Clarify business priorities for customer health dashboards
- Establish Stage 2 success criteria and validation checkpoints
Document Roadmap
For complete context on this 120-day transformation engagement:
- Executive Summary - Overview of 3-stage transformation journey and Stage 1 snapshot
- Audit Findings - Complete Stage 1 discovery results (access audit, security scans, infrastructure catalog)
- Strategic Recommendations - 3-stage transformation roadmap with detailed priorities
- Implementation Roadmap - This document: 120-day execution plan ✅ YOU ARE HERE
- Critical Fixes - Stage 1 immediate reliability improvements
- Product Strategy - Market positioning, competitive analysis, and growth strategy
Document Owner: SkaFld Studio (Charles & Mike) Contract Reference: Consulting Agreement Exhibit A - Scope of Work Last Updated: November 4, 2025 Status: ACTIVE - Stage 1 Complete, Stage 2 Ready to Begin
The 120-day platform transformation is designed to modernize ComplyAI's infrastructure, enable operational excellence, and build AI-driven capabilities - all while Francis and Maria maintain business continuity and customer success. This execution plan provides the blueprint for disciplined, stage-gated delivery with measurable outcomes at each phase.