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How it works

The method, described honestly.

"AI-powered" is claimed by almost everyone and means almost nothing. Here is specifically what we do, where the AI is genuinely used, and where a person is accountable.

01

Scope

A conversation about the problem, not the technology. We write down what the solution must do, what it explicitly will not do, what data it touches, and who uses it. That document is the contract for everything that follows.

Output: a written scope and a single fixed price.

02

Design the data first

Tables, relationships, and the security boundary before a single screen. This is the part that is expensive to change later and the part where AI assistance is least useful — it needs judgement about your business, not pattern completion.

Human-led. AI is used to check consistency, not to decide.

03

Build with AI in the loop

Screens, formulas, flows and documentation are drafted with AI against the conventions we set for your build, then reviewed change by change. This is where the time saving is real, and it is the reason a fixed price works at all.

Every generated change is reviewed before it is kept.

04

Check against a standard

Automated validation runs over the build — layout and sizing rules, naming, accessibility basics, and formula patterns known to cause problems later. A build that fails those checks does not get to a review.

The rules applied to your build are written down and handed over with it.

05

You review a working build

Not a slide deck or a prototype — the actual solution, running, with your data shape in it. Feedback goes into the same loop. If what you asked for turns out to be the wrong thing, that is far cheaper to discover here.

Revisions within the agreed scope are included.

06

Handover you actually own

You receive an unmanaged solution file and import it into your own environment. Unmanaged means you can open it, change it, and take it to another supplier. Nothing is locked, and nothing depends on us continuing to exist.

Output: solution file, documentation, and a walkthrough.

The uncomfortable questions

Answered before you ask them.

Is my data used to train a model?
No. We do not send your business data to a model for training, and we scope AI assistance to the build artefacts — screens, formulas, flow definitions — rather than your records.
Does a human actually check the output?
Yes, change by change. Generated code that nobody reviewed is how low-code estates become unmaintainable. The review is the product.
What if you disappear?
You hold an unmanaged solution file in your own tenant. Any competent Power Platform developer can pick it up. That is the specific reason we deliver unmanaged rather than managed solutions.
Is this cheaper because it is worse?
It is cheaper because the repetitive work takes less time, not because the standard is lower. The written conventions and the automated checks exist to make that claim testable rather than rhetorical.

Sound like a fit?

Describe the problem. We will tell you honestly if we are the wrong people for it.