Enterprise AI your security team can say yes to

Large organisations rarely struggle to find an AI use case. They struggle to get one through security review, connected to the real systems and used by the teams it was built for.

We build custom AI systems for groups, multi-company organisations and larger operators: agents, automations, command centers and knowledge assistants that run on your systems, under rules you approve. This page covers the questions your security, IT and procurement teams will ask, with plain answers.

Quick answer

Enterprise AI from Trilix AI runs on your systems under rules you approve: you own the data, hosting can be in your own cloud account in Canada, the US or Europe, access is set by role, actions are logged and sensitive steps wait for human approval. We build agents, automations, command centers and knowledge assistants.

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Logistics command screen with an overnight summary of decisions to make, plus tiles for underused trucks, drivers at risk, late deliveries, safety flags and on-time rate. — Morning command screen, logistics build.Sample data. Company and software names blurred.

Who this is for

Groups and holding companies

Several businesses under one owner, each with its own systems and teams, and leadership that needs one view across them.

Large multi-site operators

Networks of stores, clinics, campuses, plants or depots where a change has to work the same way everywhere.

Finance, audit and operations leaders

Teams with a specific process to automate, such as month-end, control testing, claims or dispatch, inside an organisation with formal approvals.

IT and innovation teams

You have a mandate to deliver AI and need a build partner that works within your architecture and review process.

Data ownership

Your data belongs to your business. Call recordings, camera data, documents, reports and customer records are used only to run your system.

The system is built for you and around you. Access to your source systems is limited to what the build needs, and where reading is all the system needs to do, the connection is read-only. For a UK holding group, the AI assistant reads Jira and Slack so it knows what each team is working on, and changes nothing in either.

Where it runs

Hosted by us

The default. We host and run it, so there's nothing for your team to install or patch.

In-region hosting

Hosted in Canada, the US or Europe when your customers, contracts or regulators need the data kept there.

In your own account

The system runs inside a cloud account your business owns, and you hold the keys.

On your site

For stricter environments, parts of the system can run on hardware at your site.

Governance and control

Approved behaviour

What an agent says, books, changes and refuses is written down and approved by you before launch.

Humans on sensitive steps

Postings to the books, refunds, messages to customers and anything outside the approved rules can wait for a person, with the context attached.

Every action logged

Calls, bookings, alerts and automated changes are recorded, so any action can be traced back to what triggered it.

Role-based views

Executives, managers and staff see different things. A site manager sees their site, not the group's payroll.

A second check

Where it matters, a second AI agent reviews the first one's work and flags problems. At a multi-store quick lube, that audit found the first model ignoring some booking rules, and we moved the agent to a stronger model before it became a customer problem.

Sources on every answer

Knowledge assistants answer from your approved documents and show where each answer came from. If there's no verified answer, they say so.

Integrations

We connect to the systems you already run through their official connections or exports: APIs, webhooks, scheduled exports and read-only access where that's enough. Our client systems work with POS data, accounting, phone lines, existing cameras, Jira, Slack and WhatsApp. Our demo builds are designed around ERPs, student information systems, learning platforms and dispatch tools.

We don't ask you to replace a system of record. If something can't be connected, we tell you during scoping and propose the next best route.

How procurement works with us

Step	What happens	What you get
1. First call	30 minutes. We show relevant builds and ask how the work runs today	A sketch of a one-year roadmap
2. Discovery	We go through the systems, data, teams and where the hours go	A clear picture of the first build
3. Written scope	What the system does, what it connects to and what it won't do	A spec you approve before any build
4. Security and data review	Hosting choice, access, logging and data handling, with your IT team	Answers in writing for your review file
5. Pilot	One site, one team or one workflow, on a fixed setup fee for 30 days	Results measured on your own data
6. Phased rollout	One location or workflow at a time	No big-bang cutover
7. Run and extend	Monthly fee for monitoring, fixes and the next roadmap items	A system that keeps working after launch

If your organisation uses a security questionnaire or vendor review, send it early. We'd rather answer it before scoping than after. And if your procurement team requires a specific certification or contract term, ask on the first call. We'll tell you plainly where we stand.

Enterprise examples

From our case studies. Client names stay private, and demo builds are labelled as demos.

A UK holding group running 11 businesses. An AI executive assistant for the chairman: one tracker across every business, team check-ins three times a day, WhatsApp and voice access, read-only Jira and Slack connections and an end-of-day wrap. Nothing goes out without his approval.
Demo: internal audit for a multi-company group. Risk-based planning, testing every transaction, payroll analytics, nightly control tests and board packs.
Demo: a private hospital command center. Bed flow and discharge blockers, emergency surges, theatres, early warning, claim checks and staffing.
Demo: a diversified listed group. Cash, margin bridges, capital allocation, risk and a board pack that assembles itself.
Demo: a trucking control tower. Dispatch matching that explains its picks, in-cab safety cameras, maintenance and customer texts.

How pricing works

Enterprise builds are quoted after discovery, because the price depends on the systems, sites, users and channels involved. There's a setup fee per build and a monthly fee after launch that covers hosting, monitoring, fixes and new roadmap items. Pilots have a fixed setup fee, so the first commitment is known before it starts.

Frequently asked questions

Something else on your mind? Ask us directly or call 416-262-2723.

Who owns the data and the system?

You own your data. It's used only to run your system. Hosting can be in Canada, the US or Europe, in an account you own, or partly on your own hardware.

Will our data be used to train AI models?

Your data is used only to run your system. Which model providers are used, and under what terms, is part of the written scope and the security review, so your team can check it before anything is built.

Can the system work inside our approval rules?

Yes. Approval steps are part of the spec. Sensitive actions can wait for a named person, and every action is logged.

How do you handle integrations with legacy systems?

We use official connections where they exist and scheduled exports where they don't. We tell you during scoping if something can't be reached, before quoting.

How do we start without a big commitment?

With a pilot: one site, team or workflow, a fixed setup fee and 30 days measured on your own data. Scale happens in phases after that.

Do you work with organisations outside Canada?

Yes. We're based in Vaughan, Ontario, and work with organisations in the US, Canada, the UK and Europe.