Pequi Intelligence delivers board-ready AI governance through a proprietary scored framework and productized engagements — from a four-week baseline diagnostic through full advisory retainer — for organizations facing regulatory deadlines, investor scrutiny, or transaction timelines.
AI is embedded across tools, workflows, vendor integrations, and product features — often faster than anyone can document it. When regulators, boards, or buyers ask for evidence of governance posture, most organizations can't produce it. The gap is the risk.
AI features are embedded across product lines, vendor integrations, and shadow-IT tools. Most organizations have inventoried less than 40% of their actual AI footprint — and can't tell a regulator, a board, or a buyer what AI is in use, who owns it, or what data it touches.
Colorado AI Act takes effect June 30, 2026. EU AI Act high-risk enforcement begins August 2, 2026 with penalties up to €35M or 7% of global turnover. SEC examination priorities now explicitly include AI. The compliance window is narrowing, not widening.
Boards, investors, LPs, and transaction buyers now expect documented AI governance posture — not a narrative of good intentions. Organizations that scramble at the deadline, the board meeting, or the LOI stage face valuation pressure and timeline extensions.
AI enters the organization through individual subscriptions, acquired companies, and vendor feature updates that flip AI on without notice. Most mid-market organizations can't name half the AI tools touching their data — and you can't govern what isn't inventoried.
Every Pequi engagement is anchored on the same three pillars — scoring, reporting, and executive accountability — scaled to match the engagement tier you need, from a four-week diagnostic through continuous advisory retainer.
The AI Governance Velocity Index (AGVI™) delivers evidence-based governance measurement across nine domains, producing a composite 0–100 score mapped to five maturity levels. Scores only advance with verifiable documentation — never self-attestation.
Board-ready executive memo delivered 48 hours before every briefing — written for the C-suite, not the IT department. Built to be read in 90 seconds and acted on in the room.
A 60-minute structured session with your leadership team. Decision-first format — not a status update. Built for executives who need to act, not just be informed.
Nine scored domains. 0–100 composite. Five maturity levels. A structured framework that measures your governance posture, tracks progress over time, and gives leadership a single number to report on — backed by evidence, not self-attestation.
A typical starting position for a mid-market organization with a foundation in place and meaningful gaps to close before reaching Managed maturity
The AGVI isn't a competing framework — it's a scoring layer that maps directly to the regulations, standards, and guidance instruments shaping AI governance worldwide. Every score produced in an AGVI assessment is traceable to specific clauses, articles, and control objectives across eight major frameworks.
Govern, Map, Measure, Manage functions. The voluntary baseline U.S. regulators and auditors increasingly expect to see.
The first certifiable AI management system standard. Increasingly requested in enterprise procurement and M&A due diligence.
Regulation (EU) 2024/1689. High-risk enforcement August 2, 2026. Penalties up to €35M or 7% of global turnover.
SB 24-205. Effective June 30, 2026. Risk management programs, impact assessments, and AI inventory for consequential decisions.
February 2026. Sector-specific control objectives across Govern, Map, Measure, and Manage for financial institutions.
AI explicitly named as an examination focus for registered advisers, broker-dealers, and investment companies.
January 2026. The first state-level governance framework built specifically for autonomous AI agents. Direct input into Domain 09.
July 2024. Addresses generative AI risks including confabulation, data privacy, information integrity, and content provenance.
Every AGVI domain is cross-referenced to specific clauses, articles, and control objectives across eight frameworks — producing 72 discrete mappings in a single master crosswalk document delivered with every engagement.
Managed maturity (60–79) establishes a defensible regulatory posture — an organization is positioned to respond to inquiries from any of the mapped frameworks with documented evidence, not narrative answers to structured questions. Optimized maturity (80–100) represents continuous, frontier-level compliance — the standard for organizations operating in heavily regulated sectors or facing the most rigorous board, investor, and transaction scrutiny.
Every deliverable is written for the executives who make governance decisions — not the teams that implement them. Three personas, one framework, one source of truth on AI posture.
The AGVI gives you a quantified view of AI governance maturity across nine domains — backed by evidence your board, investors, and regulators can verify. No more narrative answers to structured questions.
We map every AI system in your environment — including shadow AI and vendor-embedded tools — classify them against emerging regulation, and build the controls and escalation paths you need before an incident forces the question.
From vendor AI contract provisions to incident response playbooks to EU AI Act classification memos, we build the evidence-based governance infrastructure that protects the organization and holds up under regulatory or transaction scrutiny.
Ensure the AI governance posture across your portfolio holds up under LP due diligence, board scrutiny, and transaction timelines — and that exit valuations aren't discounted for governance gaps buyers will find in the data room.
Multiple enforcement deadlines converge in 2026. Getting ahead of them takes months, not weeks — and the cost of waiting is measured in valuation pressure, regulatory exposure, and emergency remediation spend.
Effective June 30, 2026. Requires risk management programs, impact assessments, and AI inventory for high-risk AI in consequential domains — employment, housing, credit, insurance, education, and healthcare. Core obligations remain unchanged through the current amendment process.
High-risk enforcement begins August 2, 2026. Penalties up to €35M or 7% of global turnover. Article 5 prohibitions and GPAI obligations are already in force. Article 50 transparency obligations activate alongside high-risk enforcement regardless of the Digital Omnibus outcome.
AI is an explicit examination priority. For registrants and regulated entities, documented AI governance posture strengthens the narrative for boards, investors, LP due diligence, and transaction scrutiny — and weakens the argument for a valuation discount.
NIST AI RMF 1.0, ISO/IEC 42001:2023, NIST AI 600-1 (GenAI), and Singapore IMDA's Model Framework for Agentic AI now define what "good" looks like. Maturity against these frameworks is increasingly expected in board reporting and investor due diligence.
Four engagement tiers, fixed scopes, fixed fees where it matters. Start where the timeline demands. The AGVI methodology is consistent all the way through, and every tier feeds the next without rebuilding what came before.
Advisory, not software. Every engagement is led by a human advisor with deep governance expertise — internal tooling handles data mechanics so your time is spent on decisions, not document production.
A 30-minute discovery call to assess your AI governance posture, identify the highest-priority gaps, and determine which engagement tier fits your timeline.
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