Map the process
Every step, every exception, and who currently does it. Automating a process nobody has written down is how the exceptions become production incidents.
Automation that removes the recurring manual work.
Reports that run to a schedule, approvals that move without chasing, and dashboards that update themselves. This is usually where an engagement starts.
Where the manual work accumulates.
Operations collect manual steps the same way. A report gets built by hand because it was needed once, and then every month after that. A spreadsheet moves between two teams because the systems never spoke to each other. An approval sits in somebody's inbox until they are chased.
None of it looks expensive on its own. Together it takes days out of every week, and it puts the numbers at the mercy of whoever remembered to update them. When the person who owns the spreadsheet is on leave, the reporting stops.
Automation is the usual entry point because it clears that work quickly. Mapping the process in order to automate it also shows where the deeper problems sit, which is what shapes the work that follows.
What we build.
We automate the steps that repeat: pulling the data, checking it, moving it, formatting it, and putting it in front of the person who acts on it. Exceptions are handled explicitly rather than left for a person to catch, and the process reports when it fails.
Includes
- Scheduled reporting and distribution
- Approval and sign-off workflows
- Data validation and quality checks
- Live dashboards and KPI tracking
- Alerting on thresholds and failures
- Document generation and filing
How the work runs.
Find the seam
The point where automation removes the most work for the least change. Usually one step rather than the whole chain.
Build and test
Against real data and the exceptions the process actually carries, in an environment that matches production.
Run and watch
Failures raise an alert rather than going quiet. Output is checked against the manual result until it is trusted.
Questions we get asked.
What kind of work is worth automating?
Anything that repeats on a schedule, follows rules a person could write down, and moves data between places. Reconciliation, reporting, data entry between systems, approval routing, and file handling all qualify. Judgement-heavy work usually does not, though the data gathering around it often does.
How long does a first automation take?
Two to four weeks is typical, from the first conversation to something running in production. The variables are access to the systems involved and how many exceptions the process carries.
Do we have to replace our existing software?
Usually not. Most automation work sits on top of what you already run, using the interfaces those products expose. Replacement is a separate decision with its own case.
What happens when the process changes?
Processes change, so automations are built to be edited rather than rebuilt. Managed systems covers those changes as the operation evolves.
Start with the problem.
Describe what is slowing the operation down. We will come back with the approach, the scope, and what it costs.
Get in touch