Walkthrough
Start
A mid-size bank's credit analysts draft a memo for every commercial loan. It's skilled, repetitive and high-stakes, which makes it a good test of where AI belongs.
The lens adds one note per stop. The example stays the same.
Stop 1 · Diagnose
Talent Rewire starts by writing the workflow down: who does what, in which order, from interviews and SOPs. Credit memo drafting breaks into five tasks.
HR lens: Tasks, not job titles, are the unit that changes. Roles get redesigned one task at a time.
L&D lens: This map is a ready-made performance analysis. Every step is a candidate for a job aid or a practice point.
Operations lens: You can't change a workflow nobody has written down. This is the write-down.
Finance lens: Every number later in the walkthrough traces back to a named task and step.
Stop 2 · Diagnose
Each task gets a level on the Human-AI Task Scale, today and proposed. The scale runs from L1 (human only) to L7 (fully autonomous agent).
Illustrative levels for this example.
HR lens: The split shows which parts of the analyst role grow in value and which shrink.
L&D lens: Each move up the scale changes the skill. Reviewing an AI draft is a different skill from writing one.
Operations lens: Throughput rises only as far as review capacity allows. L5 means someone approves every output.
Finance lens: Each proposed level is an option to be priced at Stop 4, not a guess.
Stop 3 · Decide
The Gottfredson-Cavalier Matrix sets task difficulty against the critical impact of failure. Tasks where failure is costly keep a human accountable, whatever the AI can do.
The matrix builds on Dr. Conrad Gottfredson's task difficulty and critical impact work, used with APPLY Synergies.
HR lens: High-impact tasks keep a named person accountable. That shapes the roles you hire and develop for.
L&D lens: High-risk tasks are where practice and assessment matter most.
Operations lens: Failure modes are named next to each task before anything changes, not discovered after.
Finance lens: Expected loss from failure becomes part of the price at the next stop.
Stop 4 · Decide
NET compares the value of the work with everything it costs to do it, including the time people spend supervising AI. Here is the shape of that comparison for the risk narrative at L5.
Illustrative proportions, not client figures.
Drafting moves to L5. Approval stays human.
ΔNPV then values the move from today's level to the proposed one. Every term is a change from today.
HR lens: Supervision time is real work. Someone has to own it, so it belongs in the role design.
L&D lens: The supervision tax is a training target. Better reviewers make it smaller.
Operations lens: The comparison includes orchestration and oversight, the costs most AI business cases leave out.
Finance lens: ΔNPV prices the migration between levels, not the task in isolation.
Stop 5 · Develop
When the case holds, Talent Rewire sizes the hours the decision returns and plans where they go, before anyone talks about headcount.
[X] hours a month
Returned from gathering, spreading and first drafts.
Higher-judgment work
Such as portfolio monitoring and client conversations.
Reviewing AI output
Plus exception handling and the new client work.
Illustrative.
HR lens: Freed capacity is a redeployment plan, not a headcount number.
L&D lens: Step 9 is your curriculum: the skills for the work that's left.
Operations lens: Capacity shows up as hours per month you can plan against.
Finance lens: Value from redeployment is counted separately from throughput gains.
Your next step
The walkthrough showed the method on a worked example. Talent Rewire runs it on your own workflows, with your people, and prices every decision with your data.