AI WORKERS
An AI worker performs a defined operational task inside the systems your organisation already uses. It handles the work it can complete and escalates exceptions when human input is required.
Clockcheck, our timesheet worker, is running today for a UK recruitment agency.
Running today
Clockcheck collects the week's timesheet sources, matches each entry to a booked shift, keys the hours into the scheduling platform, reads the saved values back and approves only what matches. It is running today for a UK recruitment agency.
See ClockcheckAn AI worker is designed around one specific operational task.
The process is defined first.
The worker is then built to perform that process within agreed boundaries.
From trigger to outcome
The agreed input starts the defined process.
WORKED EXAMPLEA document arrives for processing.
The worker performs the task within the scope and boundaries agreed before the build.
WORKED EXAMPLERead and check the relevant information.
The result is recorded in the systems involved in the process, using the agreed access and permissions.
WORKED EXAMPLEUpdate the relevant business record.
The output is checked against the requirements of the task.
WORKED EXAMPLECompare the result with the source information.
When the worker cannot resolve an exception, human input remains part of the process.
WORKED EXAMPLERefer the exception with the information needed to review it.
An AI worker does not need to replace the software your business already uses.
Where appropriate, it works within the existing environment and interacts with the systems involved in the process.
The objective is to remove a defined piece of repetitive work without creating another disconnected system.
AI should not silently make decisions outside its defined scope.
Where the worker encounters an exception it cannot resolve, the process moves to a named person.
That creates a clear boundary between automated work and human judgement.
A timesheet matches the rota, or it does not. Try both paths.
The hours reconcile. Prepare the payroll-ready line and retain the source record for review.
If the hours differ, the worker stops and sends the discrepancy to the named payroll lead. It does not guess.
Sometimes an API integration is the right solution.
Sometimes traditional automation is better.
Sometimes a new system is required.
Sometimes the process itself needs changing.
MSD assesses the process first and chooses the appropriate technology afterwards.
The practical questions
No. An AI worker is scoped and owned: one operational job, a named set of systems it works in, and a person who receives anything it cannot resolve. The underlying technology is the same family; what makes it a worker is the job, the boundary and the escalation path, all written down before it goes live.
It describes software that decides what to do next and acts on your systems, rather than only answering a question. An AI worker takes that capability and scopes it to one process, with the rules, the systems and the escalation path fixed in writing before anything runs.
Traditional automation follows defined rules and can include exception handling. AI can help interpret unstructured information where fixed rules are insufficient. Both need clear boundaries, checks and a route to a person when the task cannot be completed reliably.
It takes one repetitive job off a person's week so they spend it on the judgement calls a worker escalates to them, not on the volume. The worker reports to a named person; it does not replace the role that owns the decision.
You do. The rules a worker follows are written down during the build, agreed with you before it goes live, and changed through the same written change control as the rest of the engagement.
It stops and escalates. Anything that does not reconcile against the rules it was given goes to a named person with the reason attached, rather than being guessed at or pushed through.
Technical discovery checks the systems involved, their access methods, permissions and constraints. Where appropriate, a worker can operate across existing business systems, email, documents and APIs. We confirm what is feasible before agreeing the scope.
A fixed price against a written scope, agreed on a scoping call. There is no day rate, and no figure is published here; the scope sets the price, and that gets agreed before anything is built.
A conversation with a director
You do not need to know what technology you need. Tell us about the process. We will work out whether MSD can help.
Your operation is the starting point.
