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Home / AI Solutions / AI Architecture Review
De-risk before you scale

De-risk before you scale.

An expert review of your AI and platform architecture — security, governance, model risk, cost and scalability — with a clear, prioritised roadmap.

What we do

AI Architecture Review on Mendix.

Production-grade ai architecture review delivered by a Mendix Platinum Partner, backed by Siemens Xcelerator.

Platform

Integration

Review of platform and integration architecture.

Security

Governance

Access, audit and compliance posture assessed.

Model risk

Controls

Evaluation, monitoring and guardrail maturity.

Cost

Scalability

Cost model and ability to scale to enterprise load.

Data

Architecture

Data readiness, lineage and AI-readiness.

Roadmap

Prioritised

A clear, sequenced plan to close the gaps.

How we deliver

Discover. Build. Govern.

The same 21-day rhythm across every engagement — discovery in five days, a production proof in twenty-one.

Step 01

Discover

Pin the use case and the ROI hypothesis in a 5-day discovery.

Step 02

Build

A production PoC on Mendix in 21 days — real data, real users.

Step 03

Govern

Security, audit and model risk handled from day one.

Step 04

Scale

Grow on the same platform to 100K users — no rebuild.

Ready to put ai architecture review to work?

Tell us the outcome you're after. We'll bring the platform, the AI and the engineers who've done it before.

FAQ

Questions, answered.

How long does a review take?

Typically one to two weeks, depending on scope.

What do we receive?

A findings report with prioritised, actionable recommendations and a roadmap.

Is it platform-specific?

We focus on Mendix and the surrounding AI/data stack, but assess your whole architecture.

Who should attend?

Architects, platform owners, security and the AI/data leads.

What is agentic AI?

AI systems where autonomous agents plan and take multi-step actions across tools and workflows — beyond a single chatbot reply.

What is retrieval-augmented generation (RAG)?

A technique that grounds an LLM in your own data at query time, improving accuracy and reducing hallucinations.

How is generative AI different from traditional AI?

Traditional AI predicts or classifies; generative AI creates content and powers copilots and agents.

How much does an AI proof of concept cost?

We deliver a fixed-fee, fixed-scope 21-day production PoC; the exact figure is set after a 5-day discovery.

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