AI Integration
Put AI to work
inside your product
Assistants, smart search and automation added to the product you already have, built on Claude, GPT and Gemini and engineered to hold up in production.
AI Features
Add AI to the product you already have
We don't train models or build foundation AI. We make the models that already exist, Claude, GPT and Gemini, work inside your product: securely, reliably and in production.
Assistants
Answers drawn from your own content, inside your product.
Smart search
Search that understands what customers mean, not just what they type.
Summaries and extraction
Documents, emails and forms turned into structured data, saving hours of manual work.
Review and tuning
Already have an AI feature? We tune quality, cost, reliability and failure handling so it holds up.
AI Agents & MCP
Custom agents, MCP servers and agent tools
We build AI agents that do real work inside your business, the MCP servers that connect assistants like Claude to your systems, and the tools agents use to act, all engineered like any other production code.
Custom AI agents
Agents that triage requests, draft responses, update records and run multi-step workflows end to end.
MCP servers
Custom MCP (Model Context Protocol) servers that let Claude and other assistants work with your own data and systems, securely.
Agent tools
Purpose-built tools your agents call to search, look up, calculate and act, each with clear inputs and permissions.
Validated outputs
Every result an agent returns is checked against a defined structure before your system uses it.
Tested and traceable
Agents are tested like any other code, and every run is logged so you can see what happened and why.
Within your limits
Tool permissions, approvals and spend limits on every agent, so it only does what you allow.
Integrations & MCP
Connected to your systems, safely
We engineer the integration layer most businesses can't build in-house: APIs, webhooks and custom MCP (Model Context Protocol) servers that let assistants like Claude work with your own systems. You decide what is exposed; we engineer the connection.
Scoped permissions
Each assistant or agent can reach only the data and actions it needs.
Per-client data isolation
One customer's data never reaches another customer's answers.
Audit trails
A record of what the AI was asked, what it did and what it returned.
Spend limits
Usage caps and alerts, so AI costs stay predictable.
Swappable providers
Models kept modular, so a provider can be replaced without rewriting the feature.
Failure handling
AI calls run through your backend, with timeouts and fallbacks when a provider slows down.
How We Build
AI-assisted, engineer-led
Bring us the idea
AI features for the product you already run
- A free 30-minute call to scope it
- A fixed quote before any work begins
- Built, tested and reviewed by a senior engineer
Already a client? AI work fits into Website Security & Care and Fractional CTO plans.
The AI assists; it never decides
We use AI agents in our own delivery to move at the pace of a full team. A senior engineer directs every build and reviews and signs off on every line before it ships.
- Every change reviewed by a senior engineer
- Tested before it reaches your users
- No hand-offs
FAQ
AI integration questions
No. We make the models that already exist, Claude, GPT and Gemini, work inside your product: securely, reliably and in production.
Yes. That's most of our AI work. We add features to the product you already have instead of rebuilding it.
Yes. We build custom agents, the tools they use, and MCP servers that connect assistants to your systems, with validated outputs, tests and logging like any other production code.
Every feature gets scoped permissions, per-client data isolation, spend limits and logging. AI calls run through your backend, never straight from the browser.
We keep providers modular, so a model can be swapped without rewriting the feature around it.
We couldn't be happier with the result!