The method

Nine steps from workflow to workforce.

The Talent Rewire method treats AI adoption as a series of task-level decisions. Each one is analyzed, priced and owned before it changes anyone's work.

The building blocks

Goals, activities, tasks, skills.

Organizations reach goals through activities, activities are made of tasks, and tasks require skills. Task intelligence connects them: knowing which tasks to automate, which to augment and which to keep human.

Goals→Activities→Tasks→Skills

Adapted from Applying AI in Learning & Development, Figure 2-1.

Stage 1

Diagnose

01

Document workflows

Capture how work is really done, from the people who do it and the SOPs that describe it.

02

Break them into tasks and steps

Three levels: workflows, tasks, steps. Decisions happen at the task level.

03

Set the human-AI split

Place each task on the Human-AI Task Scale, from L1 (human only) to L7 (fully autonomous agent).

Stage 2

Decide

04

Map the risk

Place each task on the Gottfredson-Cavalier Matrix: how hard is it, and how much does failure cost?

05

Price the task

Use NET to compare the value of the work with its full cost: human, AI, orchestration and the supervision tax.

06

Value the move

Once risk is mitigated, value the migration between Task Scale levels with ΔNPV.

07

Size the freed capacity

If the financial case holds, calculate the human capacity the decision returns.

Stage 3

Develop

08

Apply freed capacity

Decide where returned hours create the most value: new work, better service, or capacity you were missing.

09

Transform the human

Upskill people for the new work and workflows, starting with the skills each new task split requires.

Run it yourself or with us

Learn the method, or license the platform.

HMPA Foundations teaches practitioners to run the decision steps by hand. Talent Rewire runs all nine on your organization's workflows.