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Service · AI agents & automationGive away the repeating work. Keep every judgement call.
The tickets, the chasing, the drafting, the copying between systems that never learned to talk to each other — an agent picks that up inside the tools your people already open. It is the one of the six we would start you on, because the work it takes over is work your people are already doing — you can watch it on this week's queue instead of taking a projection on trust.
Software we buildRuns every day inside your own tools — and stops the moment a judgement call appears
Bring the job your team repeats every day and nobody enjoys. Half an hour, no obligation, and nobody pitches you. You'll leave knowing whether an agent could take that task and what it would have to stop at — and if the honest answer is a written checklist, you'll hear that instead.
A coworker for the steps that have a right answer.
Not a chat window bolted to your website. A piece of software that sits where the work already arrives, does the parts nobody should be doing by hand, and hands the rest to a person before it can do any damage.
Something running, and the papers that prove it is yours.
Four outcomes an agent engagement is built to produce, and then the artefacts that outlive it — everything in your accounts and your name, written so a developer who has never met us could take it over.
The routine load moves off your people, so the day goes to the conversations, the decisions and the customers only they can handle.
Work is read, sorted and drafted as it arrives. The queue stops being the reason a customer waited — and stops being the reason nobody noticed.
Your rules and your wording, applied the same way on a slow Tuesday and a slammed Friday. It does not get tired and it does not cut the corner nobody would admit to cutting.
When something falls outside its lane it brings it to a person with the full history attached — so picking it up never means a re-read of the whole thread.
What is still running the week after we stop coming
In your account
- The working agent, live inside your tools and your dataemail, help desk, spreadsheets or the system your business runs on — wherever the work already happens
- A triage and drafting rulebook tuned to your tonebuilt from your real messages, and approved by you before it answers anyone
- A human-handoff paththe rule for when the agent must stop and bring in a person, written in plain language and yours to change
- Monitoring and alert ruleswhich readings to watch, what counts as trouble, and who gets told the moment it appears
- Accuracy testing before launchthe agent runs on real past work while your team checks every output against what actually happened
- A readable log of every action it tookwhat it did, what it saw and why — in language you can audit without a developer beside you
- Handover documentation in plain languagewhat it does, what it can see, and how to adjust it yourself
- A defined care window after launchwe stay close and tune it as real work arrives, then you decide whether we stay at all
How it gets there
- A pilot on one task firstit earns wider duties only after your team has watched it and trusts it
- A show-and-tell every week, in plain languageyou see the work it did, not a status colour on a slide
- A written list of everything the agent may seeeach inbox, folder and system it can read, named and signed off before a single key is issued
- Built in your accounts from the first daykeys, code and prompts are created in your name, so there is no transfer to negotiate later
The assistant on this website is one of these, and it works the way yours would: what you type is posted to a FuseLoom endpoint, which asks an AI model and sends the answer back. It answers from FuseLoom's own pages, says so when it doesn't know, and stops on anything that would need a commitment — offering you our calendar or our inbox rather than sending us anything itself. Test it before you meet the people who would build yours — and keep anything confidential out of it, the way you would with any web form.
The agent's most important feature is the word "no".
An agent that decides is the easier thing to promise. We build one that knows the edge of its own lane and stops at it. That edge is not a setting buried in a console — it is a rule written in plain language, in your account, from the day it goes live.
- IFthe item mentions financial records, a contract, a complaint, or someone's personal data
- ORthe answer is not already written down somewhere we were given
- ORthe agent's own confidence is below the line you set
- THENstop, change nothing, and hand it to a named person with the full history attached
There is a second door in front of that one: an approval step before anything leaves your company, for as long as you want it there. Widening what the agent may do on its own is a decision you make later, on work you have read — not a slider that quietly drifts. And an agent that stops more than it needs to is retuned by you, not defended by us.
What the five phases look like when the deliverable is an agent.
The order is the same one every service here follows. What differs is the content: the escalation line is agreed in phase two and signed in phase three, and no agent sees live work until the phase in front of it is done.
Listen
A 30-minute call, then a week of the actual queue: what arrives, who picks it up, and how many times the answer turns out to be the same answer.
Map
That queue on one page: every item, who picks it up, and the line where the routine ends and the judgement begins. The line becomes the agent's job description.
Build
The first job only, wired into the tool the work already arrives in, with the escalation rule written and signed before the agent is issued a key.
Prove
It works the queue beside your people, in the open, on items you already know the right answer to — until a run of its output goes through your team's review with nothing sent back.
Hand over
Keys, prompts, rulebook, log and code, all in your name, with training for whoever owns the agent on your side. The care window is defined up front; staying on past it is a choice you make, never a renewal.
Stop after the pilot and the pilot is still yours — keys, prompts, rulebook and the log of everything it did.
The work we would turn down, and why.
An agent pointed at the wrong work does the wrong thing faster, more consistently, and with better spelling. Neither list below is here to pitch the service, and neither is coming off the page.
What it is not
- Not autonomous. It works inside limits you wrote and can change. There is no mode where it decides on financial records, a contract or a relationship, and no version of this we will build you where there is.
- Not a headcount plan. We will not tell you which of your people it replaces. What it takes off them is the part of the day they would not miss.
- Not a new system. It works behind the screens your team already opens. Nothing gets migrated, and nobody is asked to learn a console.
- Not a reader of anything you can hand it. Scans, photographs and handwriting are a job before they are an input — you hear that in the map, not once the build has started.
When we'd say don't
- The process is broken, not slow. Automating it makes the wrong outcome arrive sooner. Fix the process first — that is a different service, and we will point at it rather than at this one.
- Nobody can spare the review time. The agent improves on your corrections. Without a standing slot to read what it did, it stops improving, and work nobody reviews is work nobody trusts.
- The task is not part of the week. If it comes up only now and then, the simplest automation is a written checklist. We would rather tell you that than build you an agent that waits.
- The rules live only in one person's head. If nobody can say out loud what a good answer is, the first job is writing it down — and writing it down may turn out to be the whole fix.
- Your numbers disagree with each other. The agent will repeat whichever figure it was handed, and the argument simply moves onto the agent. The honest first project is the data.
What people want settled before software touches the queue.
Four answers in full: what a mistake means, who talks to your customers, how much an agent can actually take, and what it takes to keep one running. Read them here and the call can start after them.
Q01 What happens when it gets something wrong?
Some of it will. The question worth asking is not whether an agent makes a mistake — it is what that mistake means for you. So the damage is capped by design: it is scoped to one job, its limits are written down before launch, and during the proof phase it runs on work you already know the right answer to, with your people reading every output before anything is acted on.
The old way stays available throughout — nothing is switched off to make room for it. Every action sits in a readable log, so a wrong one can be found, explained and corrected rather than argued about. And the correction is the training: what you tell it a good answer would have been is what it does next time.
Q02 Will it be answering our customers directly?
Only if and when you decide it should. An agent starts behind an approval step: the agent drafts, sorts and prepares, and a person presses send. That step stays in place for as long as you want it, and nothing about the agent requires it to ever come out, because the drafting was the slow part all along.
If you later want it replying on its own for a narrow, well-understood kind of message, that is a decision you make on work you have already read — written down, scoped to that message type, and reversible in one line. Anything touching financial records, a contract or a complaint stays behind a person regardless.
Q03 How much of our work can an agent actually take?
Here is the test we use, and you can run it yourself before you call: if two experienced people on your team would give the same answer, an agent can learn it. If they would argue about it, that is judgement — and judgement is the part we deliberately leave to your people.
We will not put a percentage on your business. Anyone who does has not seen your work. What you will get on the call is the specific first task, named out loud, and what it would have to escalate — and you keep that answer whether or not you work with us.
Q04 What keeps running once it's live, and whose account is it in?
An agent runs on an AI model account that is opened in your name and stays yours — we never sit between you and the provider, and we never put ourselves in the middle of that relationship. Before anything goes live you can see exactly what the usage looks like, because the pilot has already generated it on your real work.
The build itself is agreed in writing before it starts, and what makes it bigger or smaller is scope: how many systems have to be connected, how ready your data is, and whether it has to work in more than one language. Nothing is settled before we have seen your work — anything named before someone has looked at your queue is a guess wearing a suit.
Name the task nobody wants. We'll tell you if an agent can take it.
Thirty minutes with us. We look at the week your team actually has, name the first task an agent could pick up and the line it would stop at — and tell you plainly if a checklist would do the job instead.
Ask us to call you backwith FuseLoom · [email protected] · you leave with the first task named, hired or not