AI agents and systems
The whole job, actually done.
It takes the job, works out the steps, and carries them out from start to finish. Not an answer for you to act on: the job itself, finished, with nothing left for you to chase.
Job: chase the Hartley Electrical order
- Checking the order against the supplier's invoice
- Message sent: delivery confirmed for Thursday
- Diary updated: delivery slot booked
- Owner notified: job complete
4 checked, all in order
The problem
The job that never quite gets to the top of the pile
- 01
You ask a chatbot a question and still have to go and do the actual work yourself.
- 02
A job like chasing a supplier or pulling a report gets stuck behind everything else on today.
- 03
The same job gets done a different way depending on who on the team ends up doing it.
- 04
Small steps get missed when a job is rushed between everything else.
What usually happens
- Most tools sold as AI answer one message at a time, then stop there.
- A person still has to read the answer and go and do the actual steps by hand.
- A job with several steps gets split across a few separate tools, each needing its own log-in.
- Nothing watches whether the job actually got finished properly.
How we do it
- We build agents that take the whole job: work out the steps, carry them out, and tell you when it's done.
- It acts inside the tools you already use, so there's no fresh log-in or new habit to learn.
- The job gets done the same way every time, whoever asked for it.
- Anything it isn't sure about, or anything that needs a person's judgement, comes straight to you.
How it works
The plan
- 01Show us
Tell us the job that eats the most time, and how it's done today.
- 02We build the agent
Piece by piece, tested on your own real jobs before it goes near a live one.
- 03It gets to work
You ask, it runs the job, and it tells you the moment it's done.
Always watching
It checks itself
Every job is checked against what it was asked to do, and the pattern across every job it runs is watched too, not just the one in front of it. Anything that looks different from how that job usually goes gets a second look before it's marked done.
- A job it isn't sure about, held back for you rather than guessed atChecked
- A step it skipped or got wrong, caught before the job is marked doneChecked
- Which jobs take it longest, so you can see where to build the next agentChecked
- Anything unusual for that kind of job, flagged rather than pushed throughChecked
What you get
What's included
- An agent built around one job you do often
- Works inside the tools you already use
- Every step logged, so you can see exactly what it did
- Hands over to you the moment it isn't sure
- Tested on your own jobs before it goes live
- A running view of what it's finished and what's next
- Built around the job you already do, not a generic template
- Works the same way every time, whoever on the team asked
For your IT teamThe technical side, for whoever looks after your systems.
- Built on the AI model best suited to the job, not one fixed engine for everything.
- Acts only through tools it's explicitly given, such as your calendar, inbox or accounts system, connected through real APIs.
- Every action it takes is logged, with what it did and what it touched.
- Nothing with personal or financial detail leaves your own systems without your say-so.
- Handover includes the agent's full job log, in a format your team can read.
Questions.
What's the difference between this and a chatbot?
A chatbot answers a question. An agent takes the job itself: it works out the steps and carries them out.
What if it gets a step wrong?
It's tested on your own jobs before it goes live, and anything it isn't sure about is handed to you rather than guessed at.
Which job should we start with?
Whichever one costs you the most time, or gets done differently depending on who's doing it.
Do we need new software?
No. It works inside the tools you already use.
How much does it cost?
It depends on how many jobs it covers. After a short call, you get a clear price before anything is built.
Goes well with
Keep going
- AI agents and systems
Agent teams that run a whole project between them
Several agents work one project between them, each doing its own part and handing straight to the next, so nothing waits on a person to notice it's ready.
- AI agents and systems
One chat that runs the rest
You ask in one place, and the right agent picks up the job behind the scenes. You never choose the tool yourself, or have to remember where an answer lives.
- Audits and consultancy
A full audit of how a job moves through your business, start to finish
An honest map of how a job moves, from first contact to paid. See exactly where it's costing you, instead of guessing.