Add AI to your product without derailing your roadmap
Customers are asking every software company about AI, and some of your competitors have already shipped something. Meanwhile your roadmap is full and nobody on the team has built a production AI system before.
Many product companies are in the same position, and it can be solved in weeks.
What we usually add
An assistant inside your product
Answers questions using your customers' own data.
Smart search
Finds the right record even when the user types the wrong words.
Automatic summaries
Long threads, case histories and call notes condensed into a line someone can act on.
Suggested next actions
Recommendations based on what similar users or records did.
Document intake
Your customers upload a file and your product fills the form for them.
Draft generation
Replies, reports and quotes drafted for a person to approve.
How we work with a product team
Your product stays as it is
We add a service alongside it and connect through your existing API. If the AI feature fails, your core product keeps working.
We use your stack and your standards
We work in your repository, with your review process and release schedule.
We can stay behind the scenes
Everything ships under your brand and in your release notes. We never appear in front of your customers unless you ask.
We plan for the cost
AI features have a running cost per user. We model it with you before you build, so your pricing still works at scale. This is what surprises product companies most often.
We start with one feature
We ship it, measure how much people use it and then decide what comes next.
A typical first project
Two weeks for a proof of concept on your real data, then four to eight weeks to production, depending on how deep the integration goes.
Related
AI Development Services
Production AI systems built for real use
AI Assistants (RAG)
An assistant that knows your company
For Agencies
Your brand. Our delivery. Your client never knows we exist.
Not sure yet what you need?
Book a 30-minute call with a senior architect and tell us about the problem. We will explain what it would take to build, roughly what it would cost and whether custom software is the right answer at all.