Observable signals
- The demo works, but routine adoption is weak.
- Outputs have no acceptance criteria or accountable reviewer.
- Usage counts do not show which business burden has changed.
Start with one specific problem
AI pilots do not become operating outcomes
Connect one repeatable task to real inputs, human accountability, exception handling and outcome checks.
Start with non-sensitive context. Sending an enquiry does not confirm an appointment.
01 / Recognise the symptoms
Does this sound familiar?
Cost of inaction
Repeated experiments consume budget and trust; incorrect outputs may enter customer commitments or business decisions.
02 / Check before investing
Check the facts before buying a tool
Define where input comes from, who uses output, which errors must be blocked and how a person takes over.
What to bring
- Approved, redacted task samples and examples of correct handling.
- Current workflows, task time, errors and escalation records.
- Data permissions, retention requirements and actions that must not be automated.
Share only information you are authorised to use. Redact customer and personal details first.
03 / Focused validation
How a pilot begins
Start with one read-only or human-approved task. Cover normal cases, missing inputs and high-risk exceptions.
The business owner accepts results, the technical owner manages runtime and access, and a human reviewer retains takeover authority.
- 01
Establish a human baseline, failure categories and acceptance rules on a fixed sample set.
- 02
Connect only necessary data and add review, logs and safe fallback.
- 03
Run within a controlled scope and review accepted completion, total effort and error cost.
04 / Acceptance and limits
What is delivered—and how to judge it
This is a proposed validation design, not a claim of achieved client results. Targets and timing are agreed after baselining.
Working outputs
Task boundary brief, evaluation set, human takeover workflow and pilot decision report.
Read illustrative templates ↗Measurement definition
Accepted completion rate: tasks passing business acceptance divided by all evaluated tasks. Report human corrections and failed cases too.
Guardrails
Check sensitive-data exposure, unauthorised actions, factual errors and review burden. Call volume is not success.
Scale or stop decision
Expand only when both business and risk thresholds pass. Stop automated handling and fall back after a critical safety failure.
05 / Fit and limits
When not to start this way
Do not automate execution without lawful data use, checkable outcomes and an accountable human owner. This path does not promise unattended replacement.
Choose a next step
Have a specific constraint? Let's examine it
If priorities are unclear, start with an anonymous assessment. For the broader scope, explore the related solution.