Judgement applied to routine work
For work that requires a decision rather than a fixed rule, and only where a decision is genuinely needed.
Most tasks do not need AI. Some genuinely do.
A fixed rule can move an order from one system to another. A fixed rule cannot read forty supplier emails, identify the three that contain price changes, and tell you which of your quotes are now out of date.
That is the distinction we work to. Where a rule is sufficient, we write a rule, because it is cheaper, faster and entirely predictable. Where the information arriving is unstructured, an agent is the better answer.
Every agent we build follows your rules, records how it reached each decision, and passes anything uncertain to a person. It does not set policy.
The things we are usually asked for
- Inbox triage: reading what arrives, classifying it, and routing it to the right person with a summary.
- Document handling: taking the figures from invoices, delivery notes and supplier PDFs into your systems.
- Draft quotes and replies prepared from the customer's own words, for a human to approve.
- Checking work against your rules and identifying anything unexpected before it is sent.
- Answering the same internal question fifty times a week from your own documented processes.
- A written record of what the agent decided and why, so you can audit it.
What you'd actually notice
The inbox arrives sorted
What comes in is already classified, summarised and assigned.
Typical: 5 to 10 hours a weekFewer errors reach customers
Work is checked before it is sent rather than after it is returned.
Typical: identified the same dayWork continues regardless
The knowledge is held by the system, so the task runs whoever is in that day.
Typical: always availableA business receiving a high volume of supplier email
Forty to sixty supplier emails each day: price changes, stock notices, delivery delays and invoices. One person read all of them and forwarded the important ones, which meant the process depended entirely on that person being available.
The build: an agent reads each email, classifies it, extracts the figures, updates the record and posts a short summary twice a day. Anything unclear is passed to a person with the original message attached.
It does not set prices, contact suppliers or approve anything. Those decisions remain with people, by design.
Illustration of the work, not a client story
Questions we get on this
Where does our data go?
As little as possible leaves your environment, and anything that does is anonymised first. Where the work can run on a model hosted on your own infrastructure, we will offer that.
How do you keep it accurate?
Agents follow explicit rules, pass anything outside those rules to a person, and record every decision so you can review exactly how a result was reached.