Software that finishes the job
An agent is the difference between AI that suggests and AI that completes. It reads the enquiry, checks the system, drafts the reply and waits for a person to approve it. The useful ones are narrow, auditable and stop when they are unsure.
Most AI a business meets is a chat box: you ask, it answers, and you still do the work. An agent goes further. It carries a task across the three or four systems the task actually lives in, and comes back with something finished. That is genuinely useful and genuinely riskier, which is why every agent we build has a checkpoint where a person signs off anything that leaves the building or moves money.
Also sold as agentic AI, autonomous agents, AI workflow automation and AI assistants.
The work it takes
off your desk
Chase a job across systems
An order arrives in one place, the stock sits in another and the customer is expecting an update from a third. An agent walks the whole path and reports back, instead of a person opening four tabs.
Triage and route what comes in
Read the enquiry, work out what it actually is, attach the relevant history and put it in front of the right person with a draft already written.
Reconcile two lists that should match
Statements against the ledger, a delivery note against an order, a rota against the bookings. Tedious, rule-based, and exactly what nobody wants to do on a Friday.
Prepare the first version
The quote, the report, the summary of a long thread. Drafted from your own data and your own wording, ready for someone to correct rather than start.
No surprises,
in writing.
Scope and price agreed before anything is built. If we think you do not need this, we will tell you that instead.
Get a quote ↗- A written scope naming the one job the agent does, and the jobs it will refuse
- The agent itself, running against your real systems
- An approval step wherever the agent would act on the outside world
- A full log of every action, readable by someone non-technical
- A handover document, and the code and configuration in your ownership
Where this
goes wrong
Every supplier will tell you what their service does. These are the ways it fails, and what we do about each one. If a supplier cannot tell you this, they have not built enough of them.
Agents that act without a checkpoint
The failure that makes the news is always an agent allowed to send, pay or delete on its own. We put the approval where the consequence is: drafting is automatic, anything irreversible waits for a person.
No audit trail
If you cannot answer "why did it do that" six weeks later, you cannot defend it to a client, an auditor or the ICO. Every step is logged in plain language, not just in a developer console.
Brittleness when a system changes
Agents break when a supplier changes a screen or a field. We build against proper interfaces where they exist, and we tell you honestly where one does not, because that is where the maintenance cost lives.
Scope that grows because it can
The most common way an agent project fails is that it starts as one job and becomes five. One narrow agent that works beats a general one that nearly works.
What everyone
asks us
A chatbot answers. An agent acts. A chatbot tells you the refund policy; an agent checks the order, applies the policy, drafts the refund and puts it in front of someone to approve. Agents are more useful and carry more risk, which is why the approval step matters.
Usually, yes. Where a system has a proper interface we connect to it directly. Where it does not, we will say so before you commit, because that is where the ongoing maintenance cost sits.
It stops and asks. An agent that guesses to look confident is worse than one that hands back. We set the threshold with you and tune it once there is real traffic to tune against.
By not giving it the ability to. An agent only gets the permissions its one job needs, anything irreversible goes through a person, and every action is logged.
Other AI services
Start with
one job.
Tell us the task that eats the most time. We will tell you honestly whether AI is the right answer for it, and what it would cost to find out.
Get a quotation