Why not just buy a platform?
Platforms are tools. Tools do not govern themselves. Every AI governance platform on the market assumes you already know what AI you are running, who owns each decision, and what your risk exposure looks like. Most organisations do not know any of those things yet.
Platforms surface data. They do not create accountability.
A dashboard showing you which AI tools are in use does not tell you who is responsible when one of them produces a harmful outcome. Accountability requires human ownership assigned to specific decisions, documented in a structure that survives staff turnover and regulatory scrutiny.
Configuration without methodology produces noise.
Without a structured approach to what you are governing and why, platform outputs become another set of reports that no one acts on. The methodology has to come first. The platform operationalises it.
Platforms do not prepare you for an audit.
Regulators and boards do not ask to see your dashboard. They ask for documented governance decisions, accountability chains, and evidence of structured oversight. That evidence has to be built, not bought.
Why not hire a consultancy?
Large advisory firms can produce governance frameworks. They are also expensive, slow, and structured to bill by the hour rather than deliver a working system. The output is typically a document. The implementation is left to you.
Frameworks without infrastructure do not hold.
A governance framework in a PDF is not governance. It becomes governance when it is embedded in workflows, assigned to owners, tracked over time, and updated as your AI footprint changes. That requires operational infrastructure, not a report.
Big firm engagements are not built for your size or speed.
Enterprise advisory engagements are designed for organisations with large procurement teams, long timelines, and the budget to absorb six-figure fees before anything is delivered. Mid-market organisations need a different model: structured, fast, and priced for the outcome rather than the hours.
Consultancy ends. Governance does not.
A consultancy engagement has a defined end date. AI governance is ongoing. Regulation evolves. Your AI footprint grows. New tools get adopted. You need a system that keeps working after the engagement closes, not a framework that starts to decay the moment the consultants leave.
Why not build it internally?
Internal teams are closest to the business. They also carry the most risk of scope creep, competing priorities, and the institutional blind spots that make independent governance difficult to sustain. Governance of AI requires a degree of structural independence that internal teams cannot always provide.
Internal teams govern what they can see.
Shadow AI is invisible to internal teams by definition. Tools adopted without IT approval, embedded features in third-party software, and AI-assisted decisions made at the team level rarely surface in internal audits. An external mapping exercise finds what internal processes miss.
Accountability requires independence.
When the team responsible for AI governance is also responsible for the AI systems being governed, conflicts of interest are structural. Effective governance requires a layer of oversight that sits outside the delivery chain.
Building from scratch takes longer than you expect.
Designing a governance methodology, building the documentation infrastructure, training the people who will own it, and producing board-ready reporting is a multi-month project when done from scratch. Complaix compresses that timeline to four to six weeks by bringing a proven methodology and pre-built infrastructure.
A third category: operational governance infrastructure
Complaix is not a platform. It is not a consultancy. It is not an internal team. It is a structured methodology delivered as a working system, built to survive the engagement and operate independently inside your organisation.
Methodology first
Five structured frameworks built for operational AI governance, not compliance theatre.
Infrastructure delivered
You leave with a working system: registry, accountability matrix, governance playbook, exposure score, and maturity roadmap.
Founder-led
Every engagement is led by the founder. No junior consultants. No account managers. Direct access to the person who built the methodology.
Ongoing operational support
The Platform tier keeps your governance current as regulation evolves and your AI footprint grows.
How the market is priced
AI governance platforms range from compliance tooling to enterprise risk suites. Most are priced for large enterprise IT budgets, require significant internal configuration, and deliver software without methodology. Here is where Complaix sits relative to the alternatives.
| Provider | Category | Indicative Pricing | What you get | What is missing |
|---|---|---|---|---|
| Credo AI | Enterprise AI Governance Platform | ~£80,000-£150,000/yr | Model risk management, policy automation, audit trails | No advisory layer, no methodology, requires large ML team to configure |
| IBM OpenPages | Enterprise GRC Suite (AI module) | ~£30,000-£90,000/yr | Integrated GRC, AI risk module, IBM ecosystem | Complex implementation, IBM dependency, no AI-specific methodology |
| Vanta | Compliance Automation | ~£12,000-£24,000/yr | SOC 2, ISO 27001 automation, evidence collection | Not built for AI governance, no decision accountability, no AI risk frameworks |
| OneTrust AI Governance | Privacy + AI Risk Platform | ~£40,000-£120,000/yr | Data privacy, AI inventory, risk assessments | Privacy-first lens, not governance-first; no operational accountability chain |
| Large Advisory Firm | Consultancy Engagement | £150,000-£500,000+ project | Bespoke framework document, board presentation | No operational infrastructure, engagement ends, no ongoing system |
| Complaix™You | Methodology + Platform | From £2,499/mo (Foundation) · £18,500 engagement | Five structured frameworks, working OS platform, 24 governance modules, ongoing advisory | - |
Pricing figures are indicative based on publicly available information and analyst estimates as of 2025. Enterprise contracts vary significantly by seat count, modules, and negotiated terms.
What each approach actually delivers
Across ten dimensions that regulators, boards, and audit teams actually ask about. A tick does not mean partial or roadmap. It means the capability is live and documented.
| Capability | Credo AI | Holistic AI | OneTrust | Complaix |
|---|---|---|---|---|
| Operational AI governance (who uses AI, for what decisions) | ||||
| Human accountability chain per AI-influenced decision | ||||
| AI Surface Mapping (full organisational inventory) | ||||
| Shadow AI detection and remediation workflow | ||||
| EU AI Act compliance tracking | ||||
| ISO 42001 readiness evidence generation | ||||
| NIST AI RMF alignment | ||||
| Integrated advisory layer (not just software) | ||||
| Agentic AI governance (autonomous agent oversight) | ||||
| Transparent, published pricing | ||||
| SME/mid-market proportionate pricing (from £299/mo) | ||||
| Board-ready governance pack (auto-generated) | ||||
| Regulatory alerts (EU AI Act, UK, NIST updates) | ||||
| Live in days (not months of implementation) |
Assessment based on publicly available product documentation and analyst reviews as of Q2 2026. Competitor capabilities are subject to change.
What the market has not solved
The AI governance market is growing at 40% annually, yet eight critical gaps remain unaddressed by every major platform. Complaix was built specifically to close them.
SME affordability
Every major platform targets enterprise (500+ employees, £50K+ contracts). Organisations with 10 to 500 employees have no proportionate, affordable governance solution. Complaix Foundation starts at £299 per month.
Operational governance vs. technical model governance
Most platforms are built for data scientists governing ML models. Nobody governs operational AI use: which employees use AI, for which decisions, with what accountability. That is the regulatory gap.
Human accountability chain
No platform clearly assigns human ownership to AI-influenced decisions. This is the core EU AI Act requirement. Most platforms produce compliance artifacts but do not enforce accountability.
Integrated advisory and platform
All major platforms are pure SaaS. Clients need guidance on what to govern, not just tools to govern it. The advisory layer is what turns a platform into a working governance system.
ISO 42001 auto-evidence
ISO 42001 (AI Management System Standard) was published in 2023 and adoption is accelerating. No platform auto-generates the evidence portfolio required for certification. Complaix is building this.
Agentic AI governance
Autonomous AI agents are moving from research to production. No platform has a mature framework for governing agents that take actions, make decisions, and interact with external systems without human approval on each step.
Ready to see the methodology in practice?
Take the free assessment to get a precise picture of your current governance gaps, or book a demo to see the OS platform live. No commitment, no credit card.
Complaix practises what it preaches. Read how we govern our own AI use.