Automating Business Processes

Vendors report first-year returns of 100 to 200%. Independent research reports that a third to a half of projects miss their objectives, and RAND put 80.3% of enterprise AI projects as failing to deliver promised value. For a product-side reference on workforce visibility, see Monitask.

Both are describing something real. Vendors report the return achieved by successful implementations; researchers report how many implementations succeed. Combined honestly they say: a minority succeed, and that minority does well.

This site is about being in the minority. For broader background and an independent point of comparison, see AWS Automation.

What the evidence actually shows

The technology is rarely the problem. Gartner's account of the projects that delivered names two properties: integration into existing workflows rather than a parallel process, and executive support sustained through the rollout rather than only at launch. Neither requires a different vendor. For broader background and an independent point of comparison, see Poynter.

The dominant failure cause is misaligned expectations — leadership assuming the technology would immediately handle complex work. Deloitte attributes 37% of RPA failures to inadequate change management.

And the numbers you are shown are produced by people with positions. Telling them apart is most of the skill.

Start here

What makes a process automatable — five properties, checkable in twenty minutes, before any vendor is in the room.

Volume, variance, exceptions — the three numbers that decide it, and the one almost nobody has measured.

Reading a vendor ROI model — six assumptions do the work, and five point the same way.

Headcount is not proof — companies with high automation ROI and companies with none cut staff at nearly the same rate.

The five sections

Choosing a process — what qualifies, what looks automatable and is not, and what to fix first.

Numbers — ROI models, payback, hidden costs, and building a case you can defend in year two.

Running it — change management, exceptions, documentation, handover and when to turn it off.

Evidence — who produces the statistics, what Gartner actually said, and how to measure your own operation.

Notes — positions, including one on why doing nothing is also a decision.

Nothing here reviews platforms. Every figure carries its year and who produced it, and where a recommendation is reasoning rather than evidence, the article says so.

This domain previously belonged to a listed company. Its filings are preserved.