AI Operating System for business functions

Your business runs as one system, and you can see it working

Pick one function. Every step of how it runs is mapped, rebuilt in a single environment, and handed back with the agents inside the workflow, the approvals wired in, your people trained on it, and a monthly number against the baseline we took before go-live.

  • $12,000 to $40,000+
  • 20 to 40 weeks
  • One function at a time
  • Running it from $6,000/mo

The work is fine. The place it happens is the problem

A function that is spread across five tools has no single place to see what it owes anyone. Six patterns follow from that, and they show up in the same order every time.

The work is spread across five places

Commitments live in email, actions in a project tool, the client record in the CRM, the decision in a meeting nobody wrote up, and the reasoning in the head of whoever made the call.

No single place to see what the function owes anyone.

The AI sits outside the day job

Staff open a chat window, paste something in, copy the answer back out. The tool never sees the record it is answering about.

Adoption stops the week the champion goes on holiday.

Approvals happen in conversation

Someone asks, someone agrees, the work proceeds. Six months later nobody can reconstruct who approved what.

Nothing to show an auditor, and no way to spot a pattern of bad calls.

Knowledge is trapped in documents

The SOP is in a shared drive, the pricing logic is in a spreadsheet, and the exceptions are in the head of the person who has been there longest.

Both people and agents answer from whatever they happened to find.

The pilot worked and then decayed

Something got built, proved the point, and then nobody owned it. No monitoring, no updates, no path to the next workflow.

The budget was spent and the function still runs the old way.

Nobody can say whether it is working

There is no baseline, so there is nothing to compare the current numbers against, and no agreed definition of what good output looks like.

The renewal conversation turns on opinion.

Six parts, one environment

Each part is built against your function rather than configured from a template. You get your own deployment with its own boundary, so your records are not sitting in a shared tenant.

  • 01

    The workflow system

    How the function runs, mapped to the step: trigger, owner, input, action, output, review point and exception path. This is the thing the rest of it is built on.

  • 02

    The agents

    The drafting, routing, scoring, summarizing and flagging that used to be manual, running inside the workflow rather than in a chat window beside it.

  • 03

    The knowledge layer

    Your SOPs, product detail, pricing logic, client history and past decisions, structured so people and agents answer from the same source.

  • 04

    The integrations

    Your CRM, email, calendar, documents and project tools wired in, so the system reads and writes where the work already lives.

  • 05

    The controls

    Which actions an agent may take alone, which need a person, who that person is, and a log of every one of those decisions.

  • 06

    The dashboards

    Usage, output quality, review burden and the business number the function is judged on, each against the baseline taken before go-live.

Nine things that are yours after go-live

The environment is the product. These are the artifacts that come with it, and they stay useful whether we keep running the system or you take it in-house.

A dedicated environment
Your own deployment with its own boundary. Your records do not sit in a tenant shared with another client.
Level 2 workflow maps
Every step of the function documented to the level a build can be written against, including the exceptions and the manual workarounds.
Working agents, in the workflow
Each one scoped to a named step, with a defined output standard and a named reviewer.
Role-based SOPs
How each role works inside the system, written for the person doing the job rather than for the person who built it.
Governance controls and an audit trail
Approval gates on the actions that need them, escalation paths on the ones that go wrong, and a record of both.
Adoption and ROI dashboards
Who is using it, what the output quality looks like, how much review it costs, and what moved against the baseline.
Team enablement
Your people trained on the system they will actually use, so supervision does not depend on us being in the room.
A support and incident path
A named route for when an agent produces something wrong, and a defined response to it.
An optimization roadmap
What to add next, in what order, and what has to be true first.

What it costs to build, and what it costs to run

The band follows what the agents are allowed to touch and how much of the function is in scope. Both are settled before anything starts.

The build

$12,000 to $40,000+

20 to 40 weeks

Standing up one business function: the workflow system, the agents, the knowledge layer, the integrations, the controls and the dashboards, through to your team using it.

  • One function, mapped and rebuilt
  • Dedicated environment
  • Team trained on it
  • Baseline taken before go-live

Running it after

From $6,000 a month

Ongoing, reviewed quarterly

We operate what was built. Monitoring, agent updates, exception handling, governance review and a monthly report against the baseline.

  • Monthly reporting against baseline
  • Agent updates and retraining
  • Governance and access review
  • Roadmap refreshed each quarter

A whole function is the largest thing we build. If what you have is one workflow rather than a department, FusionBuild starts at $1,500 and is the right size for it. If the system already exists and what you need is someone to run it, that is Managed Operations, and it covers systems we did not build.

Whether a whole function is the right size

This is the right size if

  • You can name the function and the person who owns it
  • The steps repeat, even if nobody has written them down yet
  • Leadership treats this as an operating priority with a budget attached
  • You can give a process owner real time across the engagement
  • You want the function measured afterwards, not just changed

Start somewhere else if

  • You have one workflow rather than a department. Go to FusionBuild.
  • You do not yet know which function to start with. Go to FusionMap.
  • Staff are already using AI on client data with no rules. Go to FusionGuard first.
  • The system exists and what you need is someone to run it. Go to Managed Operations.
  • Every task is handled differently each time with no repeatable pattern. Process work comes before any of this, and FusionMap is where that starts.

Asked before every engagement

How is this different from buying AI tools?

A tool answers a question you bring to it. This runs a step of your workflow, on your records, under rules you set, and writes the result back where the work lives. The practical difference is that nobody has to remember to use it.

We do not have a CRM. Can we still do this?

Yes. Several clients started on paper files, email and spreadsheets. The systems get built as part of the work rather than assumed as a prerequisite. What matters is that the function has repeatable steps, not that it already has software.

How long before anything is live?

The first working part of the function is usually in front of users well before the full build finishes. The 20 to 40 week band covers the whole function through to your team running it without us. If you want a single workflow proven first, that is a smaller engagement.

Do we need technical staff to run it afterwards?

No. Running it is a service you can buy from us: monitoring, updates, exception handling, governance review and a monthly report. Your team operates the outputs. If you would rather run it in-house, the SOPs and the training are built for that.

What happens when an agent gets something wrong?

It is caught at the review point that step was given, escalated on the path defined for it, and logged. The rate it happens at is one of the numbers on your dashboard, because a system nobody measures is a system nobody can improve.

Is there funding for this in Canada?

Some deployments qualify for Scale AI funding. We will tell you on the call whether yours is likely to, and help with the application if it is.

Canadian businesses may be eligible for Scale AI funding on this work. Check eligibility on the Scale AI site.

Start with the function that costs you the most

Thirty minutes on a call tells us which function is worth rebuilding first, and whether a whole function or a single workflow is the right first spend.