AI agents for the work nobody wants to do twice.
Not a chatbot bolted onto a website. A process that runs on its own and hands over when it should.
Every company has a handful of tasks that are repetitive, rule-bound and quietly expensive: qualifying the same enquiry, moving the same record, answering the same question. Those are the ones worth automating. The judgement calls are not, and we will tell you which is which before quoting anything.
Where the line between a chatbot and an agent actually falls
A chatbot answers from a script. An agent takes an instruction, decides which steps it needs, and carries them out in your systems — reading a record, updating a status, booking a slot. That difference is also where the risk lives: something that can act can act wrongly. So every deployment we build has a defined scope of what it may touch, a log of what it did, and a hand-off point where a person takes over. On data: models can run against anonymised inputs, and where the material is sensitive we scope deployments so it does not leave your environment. What we will not tell you is that any setup is completely safe, because nobody can say that honestly.
Four places this usually pays
Not an exhaustive list — the four we are asked for most, and the four where the work is well enough defined to automate without guessing.
- 01
First-pass qualification
Asking the opening questions on an inbound enquiry and passing on the ones that fit, with the answers attached, so a person starts the conversation already informed.
- 02
Routine answers, outside hours
Order status, delivery windows, standard terms. The questions that have one correct answer, handled at nine in the evening instead of nine the next morning.
- 03
Moving records between systems
The copying that happens because two tools do not talk to each other. Dull, error-prone, and the cheapest thing on this list to fix.
- 04
Reading documents into structure
Pulling the same fields out of invoices, orders or forms so they arrive as data rather than as an attachment somebody has to open.
Four steps, and a decision point at the end of the first
The audit can conclude that automation is not worth it here. That is a legitimate result and it happens.
- Step 01
Process audit
Watching how the work is actually done today — which is rarely how the procedure says it is done.
- Step 02
Knowledge and scope
Assembling what the agent needs to know, and defining precisely what it may and may not touch.
- Step 03
Integration
Connecting it to the systems you already run, with logging on every action from the first day.
- Step 04
Supervised run
Running alongside a person before running instead of one. What it gets wrong in this phase is the point of this phase.
Three settings where this fits
The common factor is volume of repetition, not size of company.
- 01
B2B services
Enquiries that all need the same three questions asked before anyone can tell whether they are worth a call.
- 02
E-commerce and retail
A steady stream of questions with fixed answers, arriving at hours when nobody is at a desk.
- 03
Growing technology teams
Operational load rising faster than headcount, where the next hire would spend their week on routing rather than building.
What we will not claim
We are not going to put a percentage on this page. Any figure we quoted would be borrowed from somebody else's deployment, and the honest range across projects is wide enough that an average would mislead you. What we will commit to is the shape of the engagement: the audit tells you which tasks are worth automating and which are not, the scope of what an agent may touch is written down before it goes live, every action it takes is logged, and there is always a defined point where it stops and a person continues. If your own numbers after the supervised run do not justify the cost, that is the moment to stop — and we would rather find that out in week three than in month nine.
Describe one process you repeat too often
One task, roughly how many times a week it happens, and which systems it touches. That is enough for us to say whether it is a candidate — and to say so if it is not.