AI Transformation Partnership
Strategic Proposal for Internal Review
Pecunio × Earth2Mars × PEAK innerWORKS
Executive Summary
Opportunity: Partner to deliver end-to-end AI transformation services combining proven technology (Pecunio), human-centered change (Earth2Mars), and People+AI strategy (PEAK innerWORKS).
Market Position: The only partnership offering working AI solutions with sustainable adoption at 50-70% less cost than Big 4 consulting.
Target: Mid-market companies ($50M-$500M revenue), PE-backed firms, and progressive enterprises seeking measurable AI ROI.
Partnership Overview
Value Proposition
We deliver what Big 4 consulting promises but can’t execute: working AI solutions, human-centered adoption, and measurable ROI at a fraction of the cost.
Integrated Delivery Model
Technology Foundation
- Proven finance agents with measurable ROI
- Multi-LLM architecture for optimal performance
- Rapid deployment and customization
- Enterprise-grade security and compliance
Human-Centered Implementation
- 80% faster stakeholder alignment
- Human-centered design methodology
- 2x adoption rates through co-creation
- Change management expertise
Strategic Leadership
- Workforce transformation planning
- Executive coaching and advisory
- Cross-cultural and scaling expertise
- Long-term capability building
Competitive Advantage & Market Analysis
Market Opportunity
Target Market Size
- Mid-Market Companies: $50M-$500M revenue (50,000+ companies in US/AU)
- PE Portfolio Companies: 8,000+ firms under management
- Government Agencies: Digital transformation mandates
- Professional Services: Firms needing AI capabilities
Market Pain Points
- 75% of finance time spent on manual data gathering
- Only 25% of finance processes are automated
- 83% of failed startups cite mismanaged finances
- Most AI implementations fail due to poor adoption
Competitive Landscape
vs. Big 4 Consulting (Deloitte, McKinsey, PwC, KPMG)
- Our Advantage: Working technology vs. theoretical frameworks
- Our Advantage: 3-6 months faster implementation
- Our Advantage: 50-70% lower cost
- Our Advantage: Proven adoption methodology
- Their Strength: Brand recognition and enterprise relationships
vs. AI Technology Vendors (OpenAI, Anthropic, etc.)
- Our Advantage: Complete implementation + change management
- Our Advantage: Finance domain expertise
- Our Advantage: Human-centered approach
- Their Strength: Core AI technology development
vs. Change Management Firms
- Our Advantage: Working AI technology
- Our Advantage: Technical implementation capabilities
- Our Advantage: Measurable financial ROI
- Their Strength: Pure change management focus
Unique Positioning
Products & Services Portfolio
Software/SaaS Solutions
Ready-to-deploy AI platform with proven ROI, expandable across all business functions.
Pecunio AI Platform
Proven Finance Agents:
- Agent Recon: Automated reconciliation & variance analysis
- Agent Cash: Real-time burn rate & runway projections
- Agent Lookout: Scenario modeling & forecasting
- Agent Report: Board reports & management dashboards
- Agent Custom: Tailored for specific business needs
Platform Features:
- Multi-LLM architecture (OpenAI, Claude, Gemini)
- API integrations (Xero, NetSuite, Stripe, Azure)
- Zero-disruption overlay on existing systems
- Enterprise-grade security and compliance
Expandable AI Agents
HR & People Operations:
- Agent Recruit: Resume screening & candidate matching
- Agent Perform: Performance review automation
- Agent Train: Learning path recommendations
- Agent Engage: Employee sentiment analysis
Sales & Marketing:
- Agent Lead: Lead qualification & scoring
- Agent Content: Marketing copy generation
- Agent Pipeline: Sales forecasting & opportunity analysis
- Agent Customer: Customer success monitoring
Operations & Supply Chain
Operations Agents:
- Agent Inventory: Stock optimization & demand forecasting
- Agent Quality: Automated quality control monitoring
- Agent Schedule: Resource planning & optimization
- Agent Risk: Supply chain risk assessment
Compliance & Legal:
- Agent Comply: Regulatory monitoring & reporting
- Agent Contract: Contract analysis & risk flagging
- Agent Audit: Internal audit automation
- Agent Policy: Policy compliance checking
SaaS Pricing Models
Platform Tier | Monthly Price | Included Agents | Target Company Size | Setup & Training |
---|---|---|---|---|
Starter Finance Foundation |
$5k – $10k | 3 core finance agents | $10M – $50M revenue | $15k – $25k |
Professional Multi-Function |
$15k – $35k | 8-12 agents across functions | $50M – $200M revenue | $35k – $75k |
Enterprise Full Platform |
$40k – $100k+ | Unlimited agents + custom development | $200M+ revenue | $100k – $300k |
Consulting Services
Expert-led implementation and transformation services to ensure successful AI adoption.
Service Tier | Price Range | Timeline | Key Deliverables | ROI Promise |
---|---|---|---|---|
Foundation Services Assessment & Strategy |
$25k – $75k | 2-4 weeks | AI readiness assessment, workforce strategy, executive education | Identify $100k+ quick wins |
Implementation Services Targeted Transformation |
$150k – $500k | 3-8 months | Platform deployment, change management, workforce transformation | $200k+ annual savings |
Enterprise Programs Full Transformation |
$750k – $2.5M | 12-24 months | Organization-wide transformation, custom platforms, fractional executives | 3-5x investment return |
Foundation Services (Entry Point)
AI Readiness Assessment
- AI Maturity Scorecard across 8 dimensions
- Technology gap analysis and recommendations
- Workforce impact assessment
- Risk and compliance evaluation
- 90-day quick-win roadmap
People+AI Workforce Strategy
- Workforce impact heatmap by role/department
- Future state organizational design
- Skill gap analysis and training needs
- Change readiness assessment
- Human-AI collaboration framework
Executive AI Education
- 2-day executive AI workshop
- Industry-specific AI use case library
- AI investment decision framework
- Board presentation template
- 90-day executive action plan
Implementation Services (Growth Engine)
AI-Powered Finance Transformation
- Pecunio AI platform deployment
- 5+ custom finance AI agents
- Automated reporting dashboards
- Process automation workflows
- Team training and change management
People+AI Workforce Transformation
- Future workforce operating model design
- Human-centered AI adoption strategy
- Comprehensive reskilling programs
- Change champion network development
- Performance measurement systems
Custom AI Agent Development
- 3-5 custom AI agents for core processes
- Full system integration and APIs
- Intuitive user interfaces
- Comprehensive testing and QA
- Documentation, training, and support
Enterprise Programs (Scale & Impact)
Enterprise AI Transformation
- Full AI strategy and roadmap
- Technology platform deployment
- Organization-wide change management
- Custom AI solutions development
- Executive coaching and support
Fractional AI Leadership
- Fractional Chief AI Officer
- Fractional AI-Enabled CFO
- Fractional Chief Transformation Officer
- Fractional Chief People+AI Officer
- Executive expertise at 1/3 the cost
Enterprise AI Platform
- Custom enterprise AI architecture
- Multi-site deployment methodology
- Enterprise system integration
- Security and governance framework
- 24/7 support infrastructure
Go-to-Market Strategy
Three-Phase Approach
Phase 1: Foundation (Months 1-6)
- 3 pilot clients (one from each partner’s network)
- Document measurable ROI (targeting 3-6 month payback)
- Develop replicable engagement models
- Unified brand identity and website
- Joint sales process and materials
- “AI Transformation Report 2025” thought leadership
Phase 2: Scale (Months 6-18)
- Strategic partnerships with technology vendors
- Account-based marketing to 50 priority prospects
- Executive roundtables and workshops
- Speaking engagements at CFO and transformation conferences
- LinkedIn content strategy showcasing real results
- Signature offering launches (“AI-Ready CFO Transformation”)
Phase 3: Expansion (Months 18+)
- Geographic expansion (US market entry)
- Industry specialization (financial services, healthcare)
- Acquisition of complementary capabilities
- Platform licensing to other consultancies
- Training and certification programs
Financial Targets
Revenue Streams
Revenue Stream | % of Total Revenue | Pricing Model | Growth Strategy |
---|---|---|---|
Consulting Projects | 60% | Fixed price / Value-based | Account-based marketing |
Fractional Services | 25% | Monthly retainer | Executive network referrals |
Technology Licensing | 10% | SaaS subscription | Platform partnerships |
Training & Certification | 5% | Per participant | Corporate programs |
Lead Generation Strategy
Partner Networks
- Leverage each partner’s existing relationships
- Joint introductions and warm referrals
- Cross-pollination of client bases
- Industry conference speaking opportunities
Thought Leadership
- AI Transformation benchmarking reports
- LinkedIn content showcasing real ROI
- Webinar series on People+AI topics
- Executive roundtables and workshops
Strategic Partnerships
- Technology vendors (Microsoft, AWS, Google)
- Consulting firms lacking AI capabilities
- PE firms and investment banks
- Industry associations and communities
About the Partners
Each partner brings unique and complementary expertise to deliver comprehensive AI transformation services.
Pecunio AI
Core Capabilities:
- Working AI finance platform with proven ROI
- Multi-LLM architecture (OpenAI, Claude, Gemini)
- CFO-trained AI agents for finance operations
- Rapid deployment and system integration
- Custom AI agent development
- Enterprise-grade security and compliance
Key Results:
- 23-45 hours/month of manual work eliminated
- $20k-$54k annual labor cost savings
- Real-time financial insights and reporting
- Days to deploy vs months for custom solutions
Leadership Team:
- Marcus Wood, CEO: 20+ years global finance experience across 4 continents
- Jaimyn Mayer, CTO: Full-stack engineering, AI/ML expertise, maker community leader
Earth2Mars
Core Capabilities:
- Human-centered design and behavioral science
- Digital transformation change strategy
- Stakeholder engagement and communications
- Co-creation and participatory design
- Capability building and training programs
- AI adoption guardrails and governance
Key Results:
- 80% less time to align stakeholders
- 35% more engagement in transformation
- 2x adoption rate vs traditional approaches
- 95k+ people helped across 50+ organizations
Leadership Team:
- Andrew Butow, Director: 15+ years transformation leadership, change facilitation
- Hugo Hayashi, Director: 12+ years marketing and brand strategy, stakeholder engagement
Community:
- Space for Change: 1700+ global change leaders
- Regular industry events and thought leadership
PEAK innerWORKS
Core Capabilities:
- 30+ years global technology and people leadership
- AI + workforce transformation strategy
- Board advisory and executive coaching
- Cross-cultural and international experience
- Startup to enterprise scaling expertise
- High-performance People+Agent team design
Unique Experience:
- Founded 3 international consultancies
- Managed world’s largest private global network (DEC)
- Built AI startups and scaled enterprise divisions
- Silicon Valley, Wall Street, Asia-Pacific experience
Leadership Team:
- Susan Almeida, Founder: Global AI & People Strategy expert, MAICD board credentials
- Dual citizen (USA & Australia) with extensive international business experience
Advisory Roles:
- Board Associate, PBA Pride Business Association
- Former Board Member, SUNY Telecommunications
Combined Partnership Strengths
Why This Partnership Works
Complementary Expertise
- Technology platform + Change methodology + Strategic leadership
- Finance domain knowledge + Human psychology + Executive experience
- Working AI solutions + Proven adoption methods + Scaling expertise
Shared Values
- Human-centered approach to technology
- Measurable results and accountability
- Collaborative and inclusive methodology
- Focus on sustainable transformation
Proven Track Records
- Each partner has demonstrated success independently
- Existing client relationships and referral networks
- Thought leadership and industry recognition
- Practical experience across different scales
Key Decisions Needed
Critical decisions for the partnership to align on before market entry.
1. Lead Generation & Client Ownership
Decision Needed: How do we manage client relationships and business development?
- Option A: Joint ownership – all partners engage together
- Option B: Lead partner model – one partner owns relationship, others support
- Option C: Specialist model – partner leads based on engagement type
Questions: Who manages overall client success? How do we split business development responsibilities? What happens if partners have competing relationships?
2. Revenue Sharing Model
Decision Needed: How do we fairly distribute revenue across different engagement types?
- Option A: Equal split (33.3% each) for all engagements
- Option B: Variable split based on effort contribution
- Option C: Different models for consulting vs platform vs fractional services
Questions: How do we handle platform licensing revenue? What about finder’s fees? Do we split based on effort or value delivered?
3. Brand Strategy & Market Position
Decision Needed: How do we present ourselves to the market?
- Option A: Joint venture entity with new brand name
- Option B: Partnership of separate brands with unified messaging
- Option C: Lead brand with others as specialized partners
Questions: What’s our unified value proposition? How do we leverage individual brand strengths? What legal structure do we need?
4. Delivery Model & Quality Assurance
Decision Needed: How do we ensure consistent, high-quality delivery?
- Option A: Integrated teams working together on every engagement
- Option B: Sequential handoffs between partners
- Option C: Parallel workstreams with regular coordination
Questions: Who manages overall project delivery? How do we maintain quality standards? What happens if a partner underperforms?
5. Competitive Positioning & Differentiation
Decision Needed: What’s our primary competitive advantage?
- Option A: Speed and agility vs Big 4
- Option B: Working technology vs theoretical consulting
- Option C: Human-centered approach vs technology-first vendors
Questions: How do we price competitively? What’s our win rate target? How do we handle competitive situations?
6. Operational Structure
Decision Needed: How do we operate as a partnership?
- Option A: Formal joint venture with shared resources
- Option B: Informal partnership with separate operations
- Option C: Contractual alliance with specific terms
Questions: What legal structure? How do we handle contracts and liability? What about shared expenses and investments?
Immediate Action Items
Next Steps (Timeline)
- Partner Alignment Call (Week 1): Review this proposal and align on key decisions above
- Pilot Client Selection (Week 2): Each partner identifies 1-2 potential pilot clients from their network
- Legal Structure Discussion (Week 3): Determine partnership structure and revenue sharing agreements
- Joint Materials Development (Week 4): Create unified pitch deck and service descriptions
- Brand Strategy Session (Week 5): Finalize messaging, positioning, and market approach
- First Joint Proposal (Week 6): Target delivery of first joint client proposal
Success Metrics
This partnership combines best-in-class capabilities to deliver what the market desperately needs: AI transformation that actually works.