Automation as a Service
The work nobody should still be doing by hand.
Every operations team carries a set of repetitive tasks that survive because nobody has had time to fix them. We rebuild those as monitored, resilient pipelines — measured end to end, so you can see exactly what they are doing.
- End to end
- Automated, not part-automated
- Monitored
- Every run logged and alerted
- Owned
- Yours to keep, not rented
What we automate
If it is repetitive and rules-based, it is a candidate
The best candidates share a shape: high volume, clear rules, and a cost to getting them wrong. These are the ones we see most.
- 01
Re-keying between systems
The same data typed into two or three systems because they were never connected. Every retype is a chance to introduce an error nobody catches until month-end.
- 02
Document and form processing
Information extracted by hand from invoices, forms, statements or scans, then entered somewhere else — slow, and inconsistent between the people doing it.
- 03
Recurring reports
The same spreadsheet rebuilt every week from the same exports. Predictable work that consumes senior time and produces nothing new.
- 04
Reconciliation and checking
Two lists compared line by line to find the handful that disagree. Rules-based work, which makes it exactly what software should be doing.
- 05
Approval and routing chains
Requests chased over email until someone responds, with no record of where a request sat or for how long.
- 06
Scheduled operational tasks
Jobs that must run on a timetable and quietly break when the person responsible is on leave.
How we build it
An automation you cannot see is a risk
- 01
Monitored, not fire-and-forget
Every run is logged, and failures raise an alert rather than a silence. An automation nobody is watching is a liability — it fails quietly and you find out downstream.
- 02
Resilient to bad input
Real operational data is messy. Pipelines are built to handle malformed records and outages by design, holding what they cannot process instead of dropping it.
- 03
Measured end to end
Volume processed, exceptions raised, time saved. If a pipeline cannot show you what it did, it cannot be trusted to keep doing it.
- 04
Documented and handed over
You get the logic in writing and the ability to change it. Automation should not become a dependency on the firm that built it.
How we deliver it
Nothing switches over on faith
- 01
Map the process
We sit with the people doing the work and record what actually happens, including the workarounds that never made it into any procedure document.
- 02
Qualify the case
Volume, frequency and error rate decide whether automation pays back. We will tell you when a process should be simplified or dropped instead of automated.
- 03
Build and run in parallel
The pipeline runs alongside the manual process until its output matches, so nothing is switched over on faith.
- 04
Monitor and tune
Once live, we watch exception rates and adjust as edge cases surface. Real processes change, and pipelines need to change with them.
Start with one process