Trusted by regulated enterprises

We build the systems that keep AI accountable.

GOVERNINTEL advises boards, risk leaders, and Chief AI Officers at the world's most regulated institutions — designing the Centers of Excellence, model inventories, and risk frameworks that turn AI ambition into defensible operating practice.

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Enterprises & institutions advised
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Governance tools in our toolkit
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In AI risk exposure assessed
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Framework-aligned engagements
Enterprise AI Governance Index
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Industry maturity: Developing
Where most sitReactive · Level 2
Where we take youOptimized · Level 5
Aligned to the frameworks regulators trust NIST AI RMF ISO/IEC 42001 EU AI Act Three Lines of Defense IAPP AIGP
The PlatformIn development

Introducing GovernIntel Sentinel.

The advisory, made software. Autonomous agents plug into your stack with scoped, least-privilege permissions to discover every model and agent — then govern, quantify, and prove compliance from one living knowledge graph.

Autonomous discovery — find shadow AI across cloud, MLOps, and code, continuously.
Living governance graph — risks, controls, and obligations inherit automatically.
Risk in dollars — quantified exposure your board actually understands.
app.governintel.ai / overview
48
AI SYSTEMS
213
MODELS
11
SHADOW AI
Advisory & Implementation

From board mandate to operating reality.

We don't hand you a policy PDF and leave. We embed with your teams to stand up the people, process, and tooling that make AI governance run — and prove it to regulators.

Capability 01

AI Center of Excellence

We design and operationalize the central function that owns AI governance — so accountability stops being a question of "who's responsible?" and becomes a documented operating model.

CoE charter & mandate
Operating model & RACI
Policy & standards library
Governance committee design
8–12 wk
To operational CoE
1st line
Embedded ownership
Capability 02

Model Inventory & Intake

You can't govern what you can't see. We build the discovery, intake, and registration pipeline that surfaces every model — sanctioned and shadow — and tiers each by risk.

Model discovery sweep
Intake & registration workflow
Risk tiering criteria
AI-SBOM & lineage
100%
Model visibility target
Auto
Tiered intake gates
Capability 03

Risk Frameworks

We adapt NIST AI RMF (Govern, Map, Measure, Manage) and the Three Lines of Defense to your institution's existing ERM — not a parallel system nobody follows.

NIST AI RMF profile
Three Lines mapping
Risk taxonomy & appetite
Control library & heat maps
4
RMF functions wired in
3LoD
Defense lines aligned
Capability 04

Regulatory Readiness

From EU AI Act risk classification to ISO/IEC 42001 conformity, we turn regulatory text into a prioritized gap closure plan with audit-ready evidence.

EU AI Act classification
ISO 42001 gap assessment
Conformity evidence pack
Regulatory mapping matrix
€35M
Max fine de-risked
Audit
Evidence-ready
Capability 05

Model Risk & Validation

Independent challenge for your highest-stakes models — explainability (SHAP/LIME), bias and fairness testing, and the documentation that survives scrutiny.

XAI: SHAP & LIME protocols
Bias & fairness testing
Model Cards
Independent validation
2nd line
Independent challenge
XAI
Decisions explained
Capability 06

Board & Executive Advisory

We translate AI risk into the language of the boardroom — clear oversight structures, decision rights, and reporting that lets leadership govern with confidence.

Board oversight framework
Executive risk reporting
AI strategy & roadmap
Decision-rights design
C-suite
Decision support
Quarterly
Oversight cadence
The GovernIntel Approach

Where are you on the AI governance maturity curve?

Every engagement starts with an honest diagnostic. Select a level to see what it looks like — and exactly what we deliver to move you up.

Level 3 of 5

Defined

Policies exist and a governance function is named, but coverage is partial and enforcement is inconsistent. Most institutions plateau here — knowing what to do, but not yet doing it at scale.

What we deliver here
  • Formalize the CoE operating model & RACI
  • Complete the model inventory across business units
  • Wire intake gates into the development lifecycle
Operating Model

Governance that runs on three lines of defense.

We don't bolt on a compliance silo. We distribute accountability across the organization so governance is owned where AI is built, challenged independently, and assured for the board.

01

First Line — Ownership

The teams that build and deploy AI own the risk they create, with embedded controls and intake discipline.

  • Model intake & registration
  • Embedded control execution
  • Self-assessment & documentation
02

Second Line — Challenge

Independent risk and governance functions set the standards, validate models, and challenge first-line decisions.

  • Independent model validation
  • Policy, standards & risk appetite
  • Bias, fairness & XAI review
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Third Line — Assurance

Internal audit provides objective assurance to the board that the governance framework actually works.

  • Independent audit & testing
  • Board-level assurance reporting
  • Framework effectiveness review
The Risk Landscape

The cost of ungoverned AI is no longer hypothetical.

We bring the data that makes the board pay attention — and the instruments to act on it.

Regulatory enforcement is accelerating

Estimated max AI-related penalty exposure by year (illustrative)
▲ Rising sharply
€4M
2021
€8M
2022
€15M
2023
€20M
2024
€35M
2025

AI deployed without governance

Share of enterprise AI systems lacking oversight
0%
ungoverned
73% operate without proper governance
27% have a defined framework
Source pattern: MIT Sloan / BCG, 2024

AI Risk Heat Map

Likelihood × Impact — click any cell to see the governance posture it demands.
Likelihood →
12345
Impact →
Select a cell

Click any square to see the risk tier, the governance posture it demands, and an example model class.

End-to-end coverage

One partner, every layer of governance.

Framework / StandardAdviseImplementValidateTrain
NIST AI RMF
ISO/IEC 42001
EU AI Act conformity
Three Lines of Defense
Model Risk & XAI (SHAP/LIME)
GovernIntel Academy

The advisory becomes a curriculum.

The same frameworks we deploy in the field, taught hands-on. We build internal capability so governance outlasts any single engagement — through executive workshops, team enablement, and our flagship AIGP-aligned certification.

Flagship Certification

AIGP exam-aligned, with 60 hours of hands-on labs across 29 industry tools and a 12-artifact portfolio. Not theory — the actual work.

164 hrs content29 tools89% pass rate

Team & Enterprise Enablement

Upskill your risk, compliance, and product teams in place — custom cohorts mapped to your frameworks, tooling, and regulatory footprint.

Custom cohortsTeam dashboardsEnterprise invoicing
Weekday Sessions
Tuesday & Thursday Evenings
ET8:00 – 10:20 PM
CT7:00 – 9:20 PM
PT5:00 – 7:20 PM
WAT1:00 – 3:20 AM (+1)
Weekend Labs
Saturday Mornings
ET10:00 – 11:20 AM
CT9:00 – 10:20 AM
PT7:00 – 8:20 AM
SAST4:00 – 5:20 PM
In Progress
Mar 3 – May 31, 2026
Next Cohort
Starts Aug 11, 2026
Following
Starts Sep 1, 2026
Most flexible

Self-Paced

$1,499 or 3 × $525
Learn on your own schedule
  • 164 hours of content
  • All video lectures & labs
  • 29 tools access
  • Certificate of completion
Join Waitlist
Most Popular Cohort experience

Live Cohort

$3,500 or 3 × $1,200
Next cohort: Aug 11, 2026
  • Everything in Self-Paced
  • 48 hours live instruction
  • 1-on-1 capstone mentoring
  • AIGP exam prep & job referrals
Join Waitlist
Best for teams

Corporate

$6,500 per seat
Built for enterprise rollout
  • Everything in Live Cohort
  • Custom onboarding
  • Team progress dashboards
  • Enterprise invoicing
Talk to Us
Dr. Lilian Shulika Tata
5K+
subscribers
Founder & Principal Advisor

Dr. Lilian Shulika Tata, PhD

AI Governance Strategist · Former UN Diplomat · Enterprise Solutions Architect

Lilian advises risk leadership at global financial institutions and Fortune 500 enterprises on building AI governance that holds up under regulatory scrutiny — and trains the teams who run it.

PhD in AI Systems (Augmented Reality)
Former UN Diplomat — Cyber Diplomacy
10+ yrs Fortune 500 AI governance
Harvard PON Alumni · IAPP CIPP/E, CIPM
"I've watched organizations pay millions for preventable AI mistakes. My work is making sure my clients are the ones who prevented them."
Proof of impact

Trusted across four continents.

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Program completion rate
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Pass AIGP on first attempt
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Placed in a role within 6 months
PwCDeloitteMicrosoftGoogleMTNAccess Bank

"GOVERNINTEL gave me the portfolio that got me promoted. The IBM Fairness 360 labs were exactly what my team needed to see."

Adaeze Okafor
AI Risk Analyst, PwC
Promoted within 5 months

"I came from traditional banking compliance with zero AI background. Now I lead AI governance for our digital lending products. Her structure and mentorship were transformative."

Fomonyuy Rose
AI Governance Consultant
Career transition

"The capstone alone was worth the investment. I walked into my interview with a governance playbook — they hired me on the spot."

Sarah Chen
AI Risk Manager, Microsoft
+$45K salary increase

"Practical, actionable, and relevant to our market. This is not just theory — you leave with real tools and deliverables."

Fatima Abdullahi
Risk Manager, Dangote Group
Built governance framework
Intelligence & insights

Thinking from the front line of governance.

View all insights →
EU AI Act

What "high-risk" really means for your model inventory

8 min read · Regulatory
Operating Model

Standing up an AI Center of Excellence in 90 days

6 min read · Advisory
Model Risk

SHAP vs LIME: choosing explainability that survives audit

10 min read · Technical
Let's begin

Build an AI governance operating model your regulators will respect.

Start with a diagnostic. We'll map your maturity, surface the gaps that matter, and show you the path to a defensible program.

Engagements from diagnostic to managed governance · Academy cohorts & enterprise enablement available
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AI Detective: Govern Intel
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