Most automation programmes do not fail because the technology is weak. They fail because nobody agreed on what the process actually was before it got automated. This post walks through where that goes wrong, and what to do instead.
Where teams lose the first six weeks
The usual sequence looks sensible on paper. Pick a process, map it, build it, ship it. In practice the map is drawn from what people say they do, not what the system logs show they do. The gap between those two is where the six weeks go.
- Process owners describe the happy path and forget the exceptions
- Exceptions turn out to be 30 to 40 percent of real volume
- The build gets rewritten halfway through
Pull three months of system logs before the first workshop. The conversation changes completely when everyone is looking at the same numbers.
What the numbers look like when it works
Those are from a single mid-size finance operation, so treat them as a shape rather than a promise. The pattern holds across sites, the magnitude does not.
Manual, RPA and agentic side by side
| Capability | Manual | RPA | ARIA |
|---|---|---|---|
| Handles structured input | ✓ | ✓ | ✓ |
| Handles unstructured documents | ✕ | ✕ | ✓ |
| Survives a UI change upstream | ✓ | ✕ | ✓ |
| Explains its own decisions | ✓ | ✕ | ✓ |
| Setup time | None | 6 weeks | 4 days |
| Cost per 1,000 items | High | Low | Low |
The row worth arguing about is the third one. RPA breaking on upstream UI changes is the single biggest driver of maintenance cost, and it rarely shows up in a business case.
See it running
Replace this URL with a real episode or demo video.
How a first deployment runs
The honest trade-offs
- Runs without a vendor dependency on any single tool
- Audit trail comes out of the box, not as a later project
- Exception handling is designed in rather than bolted on
We stopped arguing about the numbers and started fixing the process.
Priya NHead of Operations
The three phases, in short
Before and after, on one process
| Metric | Before | After |
|---|---|---|
| Cycle time | 4 days | 6 hours |
| Touches per invoice | 11 | 2 |
| Exception rate | 34% | 9% |
| Headcount on the process | 6 | 2 |
Q2 pilot across three sites.
Common questions
How long does a first deployment take?
Do we need clean data before we start?
What happens to the team doing the work today?
Can this run alongside our existing RPA?
Thirty minutes, your data, no slides.
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