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All engagement models

Build & ship · 6–14 weeks

AI that ships, not another impressive demo.

The gap between an AI demo and an AI product is where most teams stall. We close it, with the same evaluation discipline we use to run Informly in production.

Typical starting price

£25,000

Timeline

6–14 weeks

Most projects begin here. Your final quote is scoped to your needs on a 30-minute call, and can land higher for a more ambitious build.

§ 01 / 07· The cost of waiting

What a stalled AI project really costs

01

The demo that never ships

It dazzles in the boardroom, then fails the moment a real user asks a real question.

02

Silent, confident errors

Without evaluation, an AI feature is wrong in ways nobody catches until a customer does.

03

Falling behind

While your AI roadmap stalls, the market's expectation of what your product should do keeps rising.

Where you'll be

An AI feature your customers actually rely on.

In six to fourteen weeks you have RAG, agents or copilots running in production, measured on every deploy, trusted because they're tested.

§ 02 / 07· Is this you?

Built for a specific moment.

  • You need AI features live for customers, not sitting in a demo
  • You've seen AI projects stall at the prototype stage and won't repeat it
  • You want AI held to the same standard as the rest of your software

Straight talk · If you're still exploring whether AI fits your product, a Discovery Sprint will frame it properly before you commit a build budget.

§ 03 / 07· What you walk away with

What you walk away with

AI in production

RAG over your data, voice and chat agents, copilots: shipped, not slideware.

An evaluation harness

Every deploy is measured for accuracy and safety, the same way we ship Informly.

Guardrails and monitoring

You see what the AI is doing, and you catch drift before a customer does.

A reference architecture

Built so your team can extend the AI surface without us in the room.

§ 04 / 07· How it runs

No mystery. Just the plan.

Weeks 1–2

Frame & scope

We pin the use case, the data and the success metric, before any model touches it.

Weeks 3–10

Build & evaluate

The feature and its evaluation harness are built together, accuracy is measured, not assumed.

Weeks 11–14

Ship & monitor

Production launch with guardrails and monitoring, and a handoff your team can build on.

§ 05 / 07· Proof
"Three vendors gave us AI demos. Techies Africa gave us an AI feature with an accuracy number on every release. That number is why our customers trust it."
ABAisha B.VP Product · enterprise SaaS
§ 06 / 07· Your safety net

Measured, not promised.

Every release ships with an evaluation score. You never have to take "the AI is good now" on faith. You see the number.

§ 07 / 07· Before you ask

The questions we always get.

How is this different from a quick AI demo?
A demo is built to impress once. We build for the thousandth real query, with evaluation, guardrails and monitoring from day one.
Do you work with our existing product?
Yes. AI Product Engineering is most often an AI surface added into a product you already run.
What about cost control?
Model cost is part of the evaluation harness, we tune for accuracy and spend together, and report both.
§ Start here

Ship AI your customers can trust.

Book a call with a senior AI engineer. We'll scope an honest path from idea to a feature in production.