A working prototype in two weeks
A narrow, real version of the feature running on your own content, so the decision to continue is made on evidence.
Service · AI products
AI products that earn their place in the workflow.
Assistants, WhatsApp workflows and document-heavy processes built on your own content and rules — with evaluation, guardrails and cost limits, so the result is something people trust rather than a demo that impresses once.
8–14 weeks typicalPrototype in 2 weeksTested before launch
Prototype in two weeks, then prove it before scaling.
What is included
From a narrow prototype to a service people pay for.
Every AI build starts small and measurable. The list below is what turns that first working version into a product with support, limits and a cost you can predict.
Tuned on your own material
Prompts, retrieval and rules built around your documents, policies and tone instead of generic advice.
Chat or WhatsApp interface
Wherever your users already are — a web assistant, an in-app helper or a WhatsApp thread that sends reminders.
Guardrails and human review
Escalation paths and review queues for the cases the model should not answer alone, with a clear handover to a person.
Evaluation and accuracy checks
A test set of real questions, scored before launch and re-run after every change, so quality is measured rather than assumed.
Billing and cost control
Subscription flows, usage tracking and cost ceilings, so the product stays affordable as usage grows.
From first call to launch
Prove the value first, then build the product.
The prototype stage exists so you can stop early with little spent, or continue with real examples of the feature working on your own material.
01Day 1
First call
The task, the people doing it manually today, and what a correct answer actually looks like.
02Week 1
Use-case and data audit
We check the material the assistant will rely on and cut the idea down to one feature worth shipping first.
03Weeks 2–3
Working prototype
A real version running on real inputs, used by real people, before any wider build starts.
04Weeks 4–6
Evaluation and guardrails
Test sets, known failure modes, review queues and cost limits agreed and implemented.
05Weeks 6–10
Integration and launch
Billing, onboarding, monitoring and alerts, then launch with a monthly review of accuracy and cost.
Typical timelines
The prototype is deliberately short. The rest depends on how much of your existing data is usable and how much review the workflow needs.
Prototype only
About 2 weeks
Single-feature assistant
6–8 weeks
Product with billing
10–14 weeks
Next step
Bring us a task that eats hours every week.
Tell us the workflow and what a good answer looks like. If AI is the wrong tool for it, we will say so on the first call and suggest what would work instead.