Pilots, quick wins and sustainable rollouts. We do not propose giant transformations as a first step.
AI process automation.
We design scoped pilots and rollouts for companies around documents, email, reporting, back-office operations and system integrations where the bottleneck is already clear.
Documents, extraction, classification, ERP, CRM, reporting, order states, incidents and operations.
Companies that already have a prioritised process and now need to turn it into something useful and maintainable.
A short, controlled rollout designed to hold up well.
01
Case framing
Agree the exact process that deserves to move into a pilot.
Volume, success criteria, exceptions, systems involved and where human validation still matters.
02
Flow design
Separate input, decision, output and integration.
We define what the automation reads, what it decides and where human control should remain.
Prioritised process, ready to come down into operations.
We step in once the bottleneck is clear enough to become a useful flow rather than a demo.
03
Real pilot
Test with a short scope, traceability and visible errors.
Real cases, output quality, criteria adjustments and learning before opening up more volume.
04
Sensible scale
Document, govern and expand only where it pays off.
We look for automation the team understands, can review and is actually able to sustain.
Automation with technical judgement and an operational view.
What usually enters the flow
Inputs from email, PDFs, forms, tables, ERP, CRM, human validations, business rules, logs and operational outputs. We are not talking about an isolated widget, but about the full flow around the process.
Situations where selective automation tends to make sense.
Documents and emails with too much manual work around them.
Classification, data extraction, routing, base responses and traceable logging.
Processes with repeatable rules and known exceptions.
The clearer the decision criteria are, the more viable automation becomes without breaking operations.
Flows that need information to move across systems.
ERP, CRM, document management or internal tools that currently require copying, checking and moving data by hand.
What we tend to automate, and where it is better to stop in time.
Inputs coming through email, documents or forms.
Processes where information always comes through similar channels and needs to be read, classified, extracted and pushed into the next operating step.
Where it usually works
Administration, operations, internal support, document flows, incidents, orders and repetitive back-office work.
Reporting, summaries and information consolidation.
Flows where the hard part is not deciding but gathering scattered information, structuring it and producing a more consistent operational or executive output.
What it requires
Accessible data, a reasonably stable format and a clear definition of the output the team expects.
It is not worth automating a process nobody understands properly yet.
If the process changes every week, criteria are not aligned or the data is too poor, automating too early only pushes the chaos into another layer.
Better entry point
In those cases it is usually wiser to step back into diagnostic or work on judgement and case design first.
What we leave behind when automation truly makes sense.
What becomes ready
A scoped, measurable flow that is easier to sustain.
What we do not promise