Solutions
Automation strategy
Most automation programmes fail on selection, not on engineering. We start by finding which processes are actually worth the effort — and saying so when the answer is none of them.
The expensive way to start
The usual first move is to automate whatever is most visibly annoying. That is rarely the same as whatever is most expensive, and a bot built on a broken process just produces wrong answers faster. The work of choosing well is the work that pays.
What we do
Process inventory
We map what actually happens, including the spreadsheet nobody mentions and the approval that happens over WhatsApp. The real process, not the documented one.
Cost and volume, per step
How often each step runs, how long it takes, how often it goes wrong and what the rework costs. This is the number that decides the order of work.
A ranked backlog
Every candidate scored on effort against return, with the ones we recommend against called out explicitly and the reason given.
A first delivery plan
What we would build first, what it depends on, and what has to be true in your systems before it can work.
How an engagement runs
- 1Discover
Interviews with the people doing the work, plus read-only access to the systems it runs through.
- 2Measure
Volumes and timings from the source systems, not from estimates.
- 3Rank
Effort against return, with dependencies made explicit.
- 4Plan
A delivery sequence you could hand to anyone — including a different vendor.
See it against your own data
A demo runs on your schema, not a sample dataset. Thirty minutes, no deck.