Put AI agents to work — inside the systems you already run.
Everyone is talking about AI agents. The hard part is connecting them safely to your data, your tools and your day-to-day work. That is the part we do — so you don’t need an AI team of your own.
You don’t need an AI team. You need the wiring.
A capable agent is only as useful as what it can see and do. Off-the-shelf chatbots don’t know your customers, can’t read your database and can’t touch your tools. Bridging that gap — securely, and under rules you control — takes real engineering.
We have spent the last few years building exactly this: MCP-enabled applications that give agents governed access to the systems a business actually runs on.
The Model Context Protocol is the emerging standard for connecting AI agents to real systems. It is how an agent safely reads a database, calls a tool or checks a log — with you deciding exactly what it may touch.
Connect agents to your world
We stand up MCP servers over your databases, files, tools and services — so an agent can actually use them, with no rip-and-replace of what you already run.
Give agents safe actions
Reading data is only step one. We let agents do things — draft the report, update the record, open the ticket — each action scoped, logged and reversible.
Guardrails by default
Permissions, approvals and full audit trails. Agents see only what you allow, and every action is on the record. Your people stay in the loop where it matters.
Start small, prove value
We pilot on one real workflow, show the result, then expand — no year-long programme before you see anything work.
Live from day one — expand at your pace.
Through FSS MCP Hub, agents get governed access to the tools of the trade.
It is our own platform for connecting agents to a working software environment — every connection scoped, observable and under your control.
- Databases — read & query, safely
- Internal tools & APIs
- Logs & observability
- Source control & CI
- Files & documents
- Scoped permissions & audit
Not a demo. Shipped.
brainattic.ai is the governed knowledge base your team and your agents both read and write — under the rules you set. It is one of several MCP-enabled products we have designed, built and put into real use.
View the case →Support that knows your business
An agent that answers over your own knowledge base and past tickets — not the generic internet.
An analyst on call
Ask a question in plain language; the agent queries your database and comes back with the numbers.
A tireless back-office hand
The agent drafts the invoice, updates the record and files the report. You simply approve.
What this looks like in your industry.
A front desk that never sleeps
Reads bookings, availability and door-access logs, drafts guest messages and flags what needs a human — building on the hotel platforms we already run.
An itinerary assistant
Searches availability across your booking engine, assembles options and answers traveller questions — the kind of engine we built for Teamavia and Imperial Travel.
A watchful dispatcher
Reads live telemetry, spots the vehicle that is off-route or overdue for service, and drafts the note before anyone asks — on telematics we know well.
A tireless store assistant
Answers order and stock questions, triages returns and updates records across your storefront and inventory data.
A junior that reads everything
Drafts proposals, briefs and reports from your document store and past projects, so your people start from a first draft, not a blank page.
An open-data explainer
Answers questions over published datasets in plain language and keeps machine-readable formats tidy — as on our Open Data Portal work.
Is my data safe?
Yes. Agents only ever see what you explicitly allow, every action is logged, and sensitive operations wait for a human’s approval. Your data stays in your systems.
Do we have to replace the software we use?
No. MCP connects agents to the tools you already run. We build bridges — not rip-and-replace.
We have no technical staff — is that a problem?
Not at all. That is exactly who this is for: we handle the engineering and hand you something your team can simply use.
Which AI can we use?
The approach is model-agnostic. We connect the leading assistants — Claude (Anthropic), ChatGPT (OpenAI), Gemini (Google) and Microsoft Copilot, plus open models like Llama and Mistral — to your systems, and you stay free to change your mind later.
How do we start?
With a short discovery call and one workflow. Low commitment, and quick to a result you can see.
Not sure where AI fits? Let’s find out together.
A short call, one real workflow, and an honest answer on whether an agent will earn its keep.