EU AI Act Advisory

AI Governance
Defensibility Sprint

Build AI governance documentation ready for enterprise buyers
and a clear EU AI Act risk classification position, in 4 weeks.

Designed for AI-enabled SaaS teams preparing for
enterprise customers and EU regulatory exposure.

Led by practitioners working with AI SaaS teams.

start governance process
book a readiness call
ENGAGEMENT FIT

Who this sprint is designed for

WHO THIS SPRINT IS FOR

For teams already using AI in production

  • B2B SaaS or tech platforms selling into Europe
  • Teams preparing for enterprise procurement or due diligence
  • Founders seeking a clear governance baseline before scaling AI capabilities
  • Organisations preparing for enterprise procurement or technical due diligence
WHO THIS IS NOT FOR

This engagement may be premature if

  • AI capability is still experimental or purely research-stage
  • No defined productisation or deployment horizon exists
  • The expectation is ongoing embedded compliance support
  • AI regulation is not yet a business concern

What your team can confidently demonstrate

Defensible AI
Risk Position

We analyze your AI use cases and establish a formal risk classification rationale aligned with EU AI Act logic.

Governance Ownership Model

We define how responsibility for AI systems is structured across product, engineering, compliance, and leadership.

Documentation Backbone

We design the minimum technical and governance documentation architecture expected in enterprise AI due diligence.

SPRINT OUTPUTS

Governance artifacts
your team will receive

These artifacts are designed to help your team respond confidently
to enterprise customers, investors, and regulatory questions.
They are based on what enterprise buyers expect.

Deliverables

AI System Register

Structured inventory of deployed AI components

Risk Classification Report

Formal defensible EU AI Act positioning rationale

Documentation Architecture

Minimum enterprise-grade governance documentation model

Governance Gap Analysis

Priority governance weaknesses and exposure areas

Procurement Response Pack

Ready-to-use materials for enterprise AI due diligence

90-Day Governance Plan

Execution roadmap to operationalise governance baseline

Reusable Governance Templates

Customisable policy and workflow assets

HOW THE SPRINT WORKS

A focused four-week
governance sprint

The sprint moves your team from uncertainty to clear governance decisions.
Each week delivers concrete decisions, documentation, and measurable governance progress.

WEEK 1

System Discovery

Map system scope, data exposure, deployment context, and regulatory triggers.

WEEK 2

Risk Positioning

Define a defensible classification stance and identify priority governance gaps.

WEEK

Governance Design

Structure accountability roles and formalize core governance documentation logic.

WEEK 4

Implementation Roadmap

Translate outputs into actionable plans and procurement-ready governance artefacts.

INVESTMENT SIGNAL

Sprint Investment

Typical sprint engagements range between
€8,500 and €24,000+
depending on AI deployment scope, regulatory exposure, and how organised your documentation already is.

Many teams begin with a focused governance baseline and expand the sprint depth as their AI systems scale.

Extensions can be added during or after the sprint based on internal priorities.

Final scope and investment are confirmed after an initial readiness discussion.

Engagement structure is informed by real AI governance deployment contexts.

Optional Governance Extensions

Additional governance support

Governance Rollout Support

Support during rollout of governance processes and internal alignment.

Full Documentation Build

Full drafting of policies, procedures, and structured risk management workflows.

AI Vendor Risk Review

Independent review of model providers and external AI dependencies.

Assess your
AI governance readiness

Start with a focused readiness discussion to assess
regulatory exposure, deployment maturity, and sprint fit.

Start Governance Process

No preparation required. Clear next steps after the call.