Excellence ProgramClient product, built by Ailoitte
TrustWays AI, an EU AI Act compliance platform Make Trustworthy AI Something You Ship
TrustWays AI is an EU AI Act compliance platform we designed and engineered for a client in regulatory technology. It classifies risk, generates the evidence regulators expect and embeds compliance into the build through a developer-first SDK.
Free 30 minute build call. Architecture, timeline and cost, no obligation.
- Client
- Confidential, under NDA
- Industry
- Regulatory technology, AI governance
- Product
- EU AI Act compliance platform
- Platform
- Multi-tenant SaaS, SDKs
- Our role
- Discovery to launch, ongoing support
- Status
- Pilot
What TrustWays AI Gives Engineering Teams
Developer-First
Compliance you embed in code through an SDK and CI checks, not a separate portal bolted on after launch.
Built for the AI Act
Risk classification and conformity evidence mapped directly to the EU AI Act's obligations.
Globally Relevant
Meet the EU bar and you've met most of the world's. The Brussels Effect, working in your favor.
Shipping AI Under the EU AI Act Was a Compliance Minefield
Our client’s customers build and ship AI products. Every release had to satisfy new obligations, and the work sat with lawyers and spreadsheets, far from the codebase.
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Obligations Are Complex and Moving
The rules keep evolving, and the penalties are real.
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Lawyers Are Slow and Expensive
And they don't speak engineering, so nothing lands in the codebase.
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Documentation Is a Manual Scramble
Conformity evidence rebuilt from scratch, every release.
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Compliance Bolted On at the End
A blocker discovered late that slows every launch.
Today
Months
of manual mapping
With TrustWays AI
Days
to audit-ready
Compliance as a feature, not a fire drill.
An AI Compliance Trust Layer That Turns Regulation Into Workflow
Four capabilities working as one platform, from risk classification to continuous, audit-ready monitoring.
Risk Classification
Classify each AI system against the AI Act's risk tiers, so you know your obligations on day one.
Evidence and Documentation
Generate the technical documentation and conformity evidence regulators expect, assembled rather than hand-written.
Developer-First SDK
Embed compliance checks into your build and CI pipeline, caught early in code where they are cheap to fix.
Continuous Monitoring
Track drift and keep every system audit-ready over its whole lifecycle, not just at launch.
- Connect Register your AI systems
- Classify Risk tier assigned
- Generate Docs and evidence
- Embed SDK in your pipeline
- Monitor Stay audit-ready
An AI Compliance Architecture Built for Enterprise Scale
TrustWays AI runs on a multi-tenant SaaS stack with a compliance engine at its core and an SDK that pushes governance left, into the developer workflow.
- Next.js 14
- React
- TypeScript
- Tailwind CSS
- Node / NestJS
- REST API
- Multi-tenant
- RBAC
- Policy and rules engine
- LLM doc analysis (Claude)
- Risk classification
- Evidence generation
- TypeScript SDK
- Python SDK
- CI checks
- API hooks
- PostgreSQL
- Immutable audit log
- Redis
- Containerized, CI/CD
Reference architecture, adapted for each build. See how we build multi-tenant products in SaaS app development.
The AI Compliance Platform Tech Stack, End to End
Every layer chosen for security, multi-tenancy and longevity. It is the same toolchain we bring to your compliance build.
Frontend
- Next.js 14
- React
- TypeScript
- Tailwind CSS
Backend and API
- Node / NestJS
- REST
- Multi-tenant
- RBAC
AI and compliance
- Claude API
- Rules engine
- Risk classification
- Report generation
SDK and infra
- TypeScript SDK
- Python SDK
- Docker
- CI/CD
One Team, From Idea to Live Product
Ailoitte owned the full build for our client, so there was a single team accountable for the product.
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Product discovery Regulatory mapping, risk framework and model selection
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UX and UI design System registry, evidence and monitoring dashboards
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AI engineering Rules engine, LLM document analysis and evidence generation
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Platform engineering Multi-tenant API, RBAC, SDKs and immutable audit log
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Cloud, QA and support Containerized deploy, QA and testing, and ongoing operations
How the Build Ran
- Discovery Weeks 1 to 2. Scope, architecture and model choices locked.
- Design Weeks 3 to 5. Registry, evidence and monitoring flows.
- MVP build Weeks 6 to 14. Classification, evidence and SDK working end to end.
- Pilot and scale Week 15 onward. Pilot users, monitoring and ongoing support.
What the Platform Delivers
What TrustWays AI does today, as it runs in pilot with our client.
Days
To audit-ready, instead of months of manual mapping
Day one
Every AI system classified against the AI Act's risk tiers
In code
Compliance checks run in CI, before release, where fixes are cheap
Full lifecycle
Continuous monitoring keeps every system audit-ready after launch
Compliance as a feature, not a fire drill.
The Same Trust Layer, Built Around Your Regulation
AI and SaaS Product Teams
Ship AI features with compliance built into every release.
SaaS developmentBanking and Fintech
Credit and fraud models that stand up to audit.
Banking softwareInsurance
Pricing and claims AI with traceable risk decisions.
Insurance softwareHealthcare
AI Act and HIPAA obligations in one workflow.
HIPAA compliant softwareWe Built a Compliance Platform. Let's Build Yours
TrustWays AI is one of the client products in the Ailoitte Excellence Program: products we design, engineer and help run end to end. Whether it’s compliance, governance or any regulated workflow, the same team and architecture playbook build your platform, with full IP ownership and no lock-in.
- Full IP and code ownership
- ISO 27001 and ISO 9001 certified delivery
- Fixed scope, timeline and cost before build
- Same team from discovery to support
What Enterprise Teams Ask Us First
What is TrustWays AI?
TrustWays AI is an EU AI Act compliance platform. It classifies each AI system against the Act’s risk tiers, generates the technical documentation and conformity evidence regulators expect, and embeds compliance checks into the build through a developer-first SDK. It turns AI governance into engineering workflow. Our EU AI Act and GDPR compliance guide covers the rules behind it.
Who built TrustWays AI?
Ailoitte designed and engineered TrustWays AI for a client in regulatory technology, under the Ailoitte Excellence Program. The client’s name stays confidential under NDA. Our team covered discovery, UI/UX design, the compliance engine, the SDKs and cloud operations. You can see the other products in the program at Ailoitte Labs.
Can you build a compliance or governance platform for us?
Yes. TrustWays AI shows the pattern, and we adapt it to your regulation, risk framework and developer workflow, whether that’s the AI Act, GDPR, HIPAA or an internal governance standard. See our HIPAA compliant software development and AI consulting services.
Does the SDK approach really work in our pipeline?
That is the core idea. TypeScript and Python SDKs, CI checks and API hooks push governance left into the codebase, so issues surface early instead of in a separate portal after launch. We tailor the SDK and checks to your stack and release process, alongside our DevOps consulting team.
How does AI risk classification work?
A policy and rules engine maps each registered AI system to the EU AI Act’s risk tiers, using a language model to analyze system documentation and a rules layer to apply the obligations. The result is explainable: each classification shows which rule drove it. Read more on explainable AI.
Does TrustWays AI replace legal advice?
No. TrustWays AI assembles the evidence, documentation and checks that make legal and compliance review faster and more complete, but final interpretation of the law stays with your legal team. It means lawyers review a structured, audit-ready record instead of rebuilding it every release. See our view on AI ethics.
How is compliance data kept secure?
The platform is multi-tenant with role-based access control, and every action is written to an immutable audit log. Documentation analysis runs through the Claude API, and for your build we choose the model and hosting that fit your data rules. Our LLM development team covers model choice, and AI in cybersecurity explains the wider controls.
How long does a build like this take, and who owns the IP?
We start with a focused AI strategic discovery to lock scope and architecture, then build a working MVP, typically within a few months. Scope, timeline and cost are clear before we start. You own the codebase, the rules logic and the architecture fully, with no vendor lock-in.
Tell Us What You Are Building
One 30 minute call, then a technical plan and an exact price with a fixed scope and a date. A team that has shipped an EU AI Act compliance platform should also tell you when you do not need a custom build. If an off the shelf model would serve you better, we will say so on that call.
- NDA signed before we look at anything
- A senior engineer on the call, not a salesperson
- A written scope, price and date within 12 hours
- No obligation, and nothing to pay to find out
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