AI Governance & Readiness

Get AI Right from the Start

The rush to adopt AI often leads SMEs to deploy tools without proper governance frameworks. The result? Compliance gaps, inconsistent practices, wasted investments in unsuitable technology, and exposure to regulatory and reputational risks.

Our AI Governance & Readiness service helps you build the foundations before you scale. We work with you to establish clear policies, decision-making frameworks, and organizational capabilities that ensure your AI investments deliver value while staying compliant with evolving regulations.

Think of it as AI strategy and compliance architecture combined — practical guidance on what to do, how to do it, and what rules to follow.

🎯

Strategic Clarity

Identify where AI will genuinely add value to your business and where it won't — avoiding expensive experiments.

⚖️

Compliance Foundations

Embed regulatory requirements into decision-making from day one, reducing retrofit costs and compliance risks.

🛡️

Risk Management

Establish clear processes for assessing, monitoring, and mitigating AI-related risks across your organization.

📋

Policy Framework

Develop practical, implementable policies that guide AI use without creating bureaucratic overhead.

👥

Team Capability

Build internal understanding of AI governance so your team can make informed decisions independently.

📈

Scalable Approach

Create governance structures that work today but scale as your AI adoption grows over time.

What We Build Together

Our governance frameworks are designed specifically for SMEs — rigorous enough to meet regulatory requirements, but practical enough to implement without dedicated compliance teams.

AI Use Policy

Acceptable and prohibited AI use cases
Decision rights and approval processes
Procurement and vendor assessment criteria
Staff responsibilities and accountability

Risk Assessment Framework

AI risk categorization methodology
Impact assessment procedures
Ongoing monitoring requirements
Incident response protocols

Data Governance Integration

AI-specific data handling procedures
Training data quality standards
Data minimization principles
Subject rights fulfillment processes

Transparency & Disclosure

Customer communication templates
AI system documentation standards
Disclosure trigger identification
Stakeholder reporting mechanisms

Vendor & Procurement Standards

AI supplier assessment criteria
Contract requirements and clauses
Due diligence checklists
Third-party risk monitoring

Human Oversight Mechanisms

Human-in-the-loop requirements
Override and escalation procedures
Decision review processes
Quality assurance standards

AI Readiness Assessment

Before building your governance framework, we conduct a comprehensive readiness assessment to understand your current state and priorities.

Organizational Maturity

Assessing your existing governance structures, decision-making processes, and organizational culture around technology adoption.

Technical Capability

Evaluating current IT infrastructure, data management practices, and technical skills available within your team.

Regulatory Context

Identifying which regulations apply to your sector and AI use cases, and your current compliance posture.

Risk Profile

Understanding your organization's risk appetite, existing risk management frameworks, and AI-specific risk exposures.

Strategic Objectives

Clarifying your business goals, operational challenges, and where AI could realistically deliver value.

Stakeholder Landscape

Mapping key stakeholders, their AI concerns, transparency expectations, and reporting requirements.

Our Governance Development Process

1

Discovery & Assessment

We conduct stakeholder interviews, review existing processes, and assess your AI readiness across organizational, technical, and regulatory dimensions. We identify governance gaps and priority areas.

2

Framework Design

We co-create governance policies and frameworks tailored to your organization. This isn't generic copy-paste — we adapt frameworks to your sector, size, risk profile, and operational realities.

3

Documentation & Tools

We develop practical documentation, templates, checklists, and decision-making tools that your team can use immediately. Everything is written in plain language, not legal jargon.

4

Team Enablement

We train your leadership and operational teams on the governance framework, decision-making processes, and compliance requirements — building internal capability.

5

Implementation Support

We provide hands-on support as you implement the framework, helping navigate early decisions, refining processes based on practical experience, and ensuring adoption.

6

Ongoing Review

Governance isn't set-and-forget. We establish review cycles to adapt your framework as regulations evolve, your AI use expands, and your organizational needs change.

Who Needs AI Governance?

You're Starting Your AI Journey

You're planning to adopt AI but want to get governance right from the start — avoiding costly retrofits, compliance gaps, and wasted investments in unsuitable technology.

You've Got Ad-Hoc AI Use

Different teams are experimenting with various AI tools without coordination. You need consistent governance to ensure compliance and manage organizational risk.

You're Scaling AI Adoption

Early AI experiments have worked, and you're ready to scale. But scaling without governance creates exponential risk — you need frameworks that can grow with you.

You Face Stakeholder Questions

Clients, investors, or partners are asking about your AI governance. You need documented frameworks and transparent processes to demonstrate responsible AI use.