AI built to run in production, not just to demo
We build AI for your business and test it before it ships: agents, generative features, retrieval, chat and the advice that comes first.
Looking for lead handling rather than custom builds? See inbound lead handling by industry.
Pick the kind of AI work
Each page shows how we build it, a scripted demo and the checks we run.
- AI agent developmentAgents that plan, call your tools and hand off to people when unsure.
- Generative AI developmentText, image and document generation built into your product.
- LLM integration and RAGLanguage models wired into your systems and answering from your documents.
- AI chatbot developmentCustomer and internal assistants that answer from your own data.
- AI consultingUse-case selection, data readiness and governance before you build.
Not sure which fits? Tell us the job you want done.
How we ship an AI feature
A request is planned, grounded in your data and tools, drafted, then checked. It answers only when the checks pass. When the system is unsure, a person reviews it first.
- Request
- Plan
- Retrieve and call tools
- Draft
- Evals and guardrails
- Passes: answerUnsure: a person reviews
The AI delivery lifecycle, step by step
Every project follows the same lifecycle whatever the model: shape the problem and pick the simplest design that works, build with evaluation from day one, then run it with monitoring and controlled updates.
Shape
Before any codeBuild
In short, measured iterationsBelow target: iterate and evaluate again.
Run and improve
From launch onwardsUse case and measure
One problem, one owner and one number that proves it worked, such as time saved or resolution rate.
- In practice
- Outcome-first scoping
- You get
- A one-page brief with a success measure
How we keep AI under control
The same controls apply to every kind of AI work we do.
- Evaluation before every releaseTestedA model, prompt or tool change ships only after it passes the test set.
- People approve what mattersPersonRisky, customer-facing or irreversible actions wait for a named person.
- Least-privilege accessScopedEach system gets its own narrow credentials, never an admin key.
- Traces and a way to switch offLoggedEvery run is recorded and any feature can be paused.
Keep reading related pages
- Use cases by industryInbound lead handling for SaaS, financial services, logistics and real estate.
- How the five agents workCapture, qualify, follow up, book and sync, one job each.
- Security overviewTenant isolation, access, audit and how agents are kept in bounds.
- Book a demoSee the agents on your own lead flow.
Tell us what you want AI to do. We will say which approach fits.
Start an AI project