Prime LedgerSpace

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Company Vision

Prime Ledger is the operating system for tokenized real-world assets. We build the infrastructure, governance, and AI intelligence that allows institutions to issue, manage, and trade RWA tokens at scale. Our platform makes the complex simple, the opaque transparent, and the manual automated.

Core Values

Precision
Exact, verifiable data — no approximations in finance
Transparency
Every stakeholder sees the same truth
Innovation
Push boundaries on what RWA tokenization can achieve
Ownership
We own outcomes, not just tasks

Strategic Methods (Ranked)

  1. 1. Build the Platform
    AI-enabled governance + strategy + compliance = the system of record
  2. 2. Prove Unit Economics
    Close first $1M in revenue, establish repeatable deal motion
  3. 3. Recruit Top Talent
    Grow to 8 people with best-in-class sales, engineering, legal
  4. 4. Secure Capital
    Seed round closes, extends runway to 24+ months
  5. 5. Own Category
    Become the default RWA platform for institutional investors

Critical Obstacles & Owners

  1. Sales Motion (CEO/Rob Hoffman)
    Need proven repeatable deal process + pricing model
  2. Regulatory Clarity (COO/John Fichera)
    RWA tokenization is still being defined — legal must stay ahead
  3. Technology Maturity (CTO/Matthew Santalla)
    Platform must handle institutional-grade compliance + auditability
  4. Team Assembly (CEO/Rob Hoffman)
    Hiring top sales + engineering talent in competitive market
  5. Market Timing (Board/All)
    RWA adoption still early — need to educate and build ahead of curve

KPIs Tied to Methods

Platform Build: Features shipped/mo, AI adoption %, command center usage
Unit Economics: Deal close rate, avg deal size, CAC, time to revenue
Talent: Headcount, time-to-hire, retention rate, skill gaps
Capital: Months of runway, investor pipeline, term sheet quality
Category: Market share assumptions, competitor analysis, brand strength

The cascade flows from Board → CEO → C-Suite. Each level inherits the tier above, adds accountability, and cascades down. Click any OKR to expand.

Live KPI tracking for each leader. Green: >70% of target, Yellow: 40-70%, Red: <40%.

Board Governance

Meeting Cadence

Monthly Board Meeting 1st Monday, 60 min
Quarterly Strategic Review End of Q, 90 min
Weekly Executive Sync Tue/Thu, 30 min

Board Pack Template

  • 📊 KPI Dashboard (10 min read)
  • 🎯 Top 3 Wins (what went right)
  • ⚠️ Top 3 Risks (what could break)
  • 🔍 Deep Dive (one strategic topic)
  • 👥 Hiring Plan (open roles, stage)
  • 💰 Fundraising Status (investor conversations, pipeline)

CEO Accountability Model

Monthly: KPI review + OKR progress scoring
Quarterly: Full evaluation against Board OKRs
Annually: Compensation review, bonus allocation

Decision Authority Matrix

Decision Type CEO Alone Board Vote CTO/COO Input
Spending <$5K ✓ — —
Spending $5K-$50K ✓ — Consult
Spending >$50K — ✓ Required
Hiring (any level) ✓ Board approval if C-level Required for tech
Pricing / Deal Terms — ✓ Required
Fundraising / Terms — ✓ Consult
Strategy Pivot — ✓ Required
Equity Grants — ✓ —

Escalation Triggers

🔴 Revenue Miss >20% for 2 Months

Board emergency session within 48 hours. Forecast adjustment, pipeline review, compensation at risk.

🔴 Cash Runway <6 Months

Immediate board meeting. Fundraising acceleration plan required. Cost reduction options reviewed.

🟠 Key Hire Departure (C-level)

Succession conversation within 48 hours. Interim coverage plan. Board notification same day.

🟠 Compliance / Security Incident

Immediate CEO + CTO notification. Legal review. Board informed within 24 hours. Remediation plan required.

🟡 Major Customer Churn

Post-mortem within 5 business days. Root cause analysis. Board briefed. Corrective action plan.

AI Governance & Data Classification

Three-Tier Data Classification

Tier Label Rule
1 VERIFIED Data from connected system with matching record. Use silently.
2 INFERRED AI best guess from patterns. FLAG to user. Never use in drafts without human confirmation.
3 UNVERIFIED No data found. STOP. Present the gap. Never fabricate.

Anti-Hallucination Guardrails (Non-Negotiable)

  • ✓ Never assume financial relationships — Mercury data ONLY with transaction records
  • ✓ Never present inferred context as fact — always label confidence level
  • ✓ INFERRED or UNVERIFIED data → STOP and present gap to human
  • ✓ Full audit trail: every AI action logged (timestamp, sources, confidence tier, approval)
  • ✓ Dynamic re-scoring: scores update as context changes (emails, meetings, deals, payments)

Human Approval Gate

  • • AI drafts, humans approve. AI never sends emails or takes irreversible actions autonomously.
  • • Each person triages their OWN inbox/data with their own role context.
  • • Only cite sources when confidence is low (verified data used silently).

⚠️ CRO POSITION OPEN

Revenue Engine leadership is currently unassigned. This tab will display pricing model, deal stages, pipeline health, and quota tracking once CRO is hired or interim assigned.

Current Deal Pipeline

Bosonic $20M SPV In Progress
3 qualified opportunities Early Stage
Pricing model development CEO Action Needed
📈 Full revenue engine dashboard (pricing, stages, forecast, quota) will populate here when CRO is assigned.

Fundraising Status (Q2 2026)

Target: $3-5M seed round
Current Status: Investor deck finalized, data room in progress
Pipeline: 10+ investor meetings planned by May 31
Runway: 8+ months (current burn ~$80K/mo)

Capital Allocation

Engineering & Product 45%
Sales & Marketing 30%
Operations & Legal 15%
General & Admin 10%

Key Metrics

Monthly Burn
~$80K
Months to Revenue
Q2 2026

AI-driven tracking of task completion, blockers, and escalations. Auto-generates weekly progress reports.

Weekly Cadence

Daily Standup
AI gathers what each person shipped
Weekly Review
Progress vs. OKRs, blockers logged
Monthly Board
Board pack auto-generated from data
Quarterly Strategy
Full OKR evaluation + reset

This generates a comprehensive board pack with KPIs, status, risks, and recommendations.

AI Platform Readiness

Track team adoption of the AI-enabled governance platform.

Team Member Context Block AI Skills Platform Adoption

Rollout Phases

Phase 1 (Now): Stakeholder alignment — co-founders, advisors. Show strategy module, get input, set governance cadence.
Phase 2 (Q3): Director/Manager rollout — one role at a time. Validate data → create skills → train → test → audit.
Phase 3 (Q4): Full org — same cycle per role. Platform becomes daily AI cockpit for everyone.

Per-User AI Context Blocks (7 Sections)

Every Prime Ledger employee needs a personal context block:

  1. Identity (name, role, email, reporting chain)
  2. Pillar Alignment (strategic pillar + personal OKRs)
  3. AI Governance Acknowledgment (three-tier classification — verbatim)
  4. Communication Style (voice profile per audience)
  5. Tool Access (Gmail, Calendar, HubSpot, Mercury, etc.)
  6. Calendar Rules (availability patterns, sacred blocks)
  7. Working Principles (AI preferences, focus windows, decision style)

This is not optional — it's a prerequisite for AI-enabled Command Center access. Template: CLAUDE-MEMORY-BLOCK.md. Maintained by CTO (Matthew).

Priority Skills to Build (Post-Rollout)

  • New Deal Intake: Sales → data room → AI enriches CRM → places in pipeline → recommends next action
  • Weekly Status Reporting: AI gathers data → structured report → flows up to manager → Pillar → Company
  • Onboarding Automation: Provisioning → playbook → training plan → 30/60/90 objectives → platform readiness
© 2026 Prime Ledger LLC — Internal Platform