COMPEL Specialization — AITE-WCT: AI Workforce Transformation Expert Artifact Template 2 of 5
How to use this workbook
The workbook is structured in four sheets (in a spreadsheet format; reproduced here in tabular form for narrative text).
- Sheet 1 — Role context and task inventory. Populated first; sets the baseline.
- Sheet 2 — Task classification. Populates exposure, augmentation, and human-centricity scores against the inventory.
- Sheet 3 — Role-level aggregation. Derived from Sheet 2; produces the role-level view.
- Sheet 4 — Skills-adjacency mapping and redeployment recommendation. The synthesis sheet.
Complete the workbook per role. For a portfolio analysis, aggregate workbooks at the portfolio level in a separate summary document.
Sheet 1 — Role context and task inventory
Role identification
| Field | Value |
|---|---|
| Role title (current) | e.g., Commercial Underwriter |
| Role code (HRIS) | |
| Function | |
| Approximate incumbent count | |
| Geographic distribution | |
| Tenure profile | average + distribution |
| Current AI touchpoints (brief summary) | |
| Date of decomposition | YYYY-MM-DD |
| Decomposition author | |
| Source triangulation | incumbent interviews / observation / output analysis — name each |
Task inventory
List 15–25 tasks per Article 24 discipline. Include at least three coordination or knowledge-work tasks per the corrective in that article.
| Task ID | Task name | Approximate time per week (hours) | Brief description (1 sentence) | Elicitation source |
|---|---|---|---|---|
| T1 | ||||
| T2 | ||||
| T3 | ||||
| … |
Sheet 2 — Task classification
For each task from Sheet 1, score on the three dimensions.
| Task ID | Task name | AI exposure (0–3) | Augmentation value (L/M/H) | Human-centricity (L/M/H) | Rationale (1 sentence) |
|---|---|---|---|---|---|
| T1 | |||||
| T2 | |||||
| T3 | |||||
| … |
Classification scale reference
AI exposure (0–3):
- 0 = No current AI capability can do meaningful portions of this task.
- 1 = AI can do portions with significant human adjustment.
- 2 = AI can do most of the task with light human review.
- 3 = AI can do end-to-end with only exception handling.
Augmentation value (L/M/H):
- Low = Augmentation would produce minimal value (task is low-frequency or low-value).
- Medium = Moderate value — noticeable but not decisive.
- High = Substantial value, affects the role’s performance materially.
Human-centricity (L/M/H):
- Low = Mechanical or procedural; human contribution is limited.
- Medium = Requires some judgment but not ambiguity-rich.
- High = Judgment-rich, relational, professional-accountability-dependent.
Bias-check
Confirm for the classification:
- Classification is against plausible 12–24-month capability, not against the specific tool now licensed.
- Classification weights value-and-judgment, not only speed-and-volume.
- Classification is independent of the performance-system’s current measures.
- Coordination and knowledge-work tasks are included in the inventory with appropriate scores.
Sheet 3 — Role-level aggregation
Derive from Sheet 2.
Exposure profile
| Exposure level | Fraction of role time | Example tasks at this level |
|---|---|---|
| 0 | ||
| 1 | ||
| 2 | ||
| 3 | ||
| Total | 100% |
Augmentation-value distribution
| Augmentation value | Fraction of role time | Value concentration notes |
|---|---|---|
| Low | ||
| Medium | ||
| High |
Human-centricity profile
| Human-centricity | Fraction of role time | Core human-centric tasks |
|---|---|---|
| Low | ||
| Medium | ||
| High |
Total time check
| Metric | Value |
|---|---|
| Sum of task hours per week | |
| Expected role working hours per week | |
| Gap (hours) | |
| Gap interpretation | e.g., hidden coordination work under-counted; unsustainable load; etc. |
Redesign implications
2–4 sentences summarising what the exposure + augmentation + human-centricity profile implies for redesign direction. Is this a candidate for redesign (most likely), for retirement (rare), or for retention with tool-integration only?
Sheet 4 — Skills-adjacency mapping and redeployment recommendation
Skills-adjacency map
Using the ESCO European skills taxonomy, Lightcast open subset, or internal skills framework as reference.
Current role skills (top 10)
List the skills that the current role requires, sourced from the task inventory and the existing role description.
…
Short-development-distance adjacent roles (≤6 months)
Roles where the incumbent’s skills are directly transferable with modest additional development.
| Adjacent role | Skills shared | Skills to develop (6-month horizon) | Redeployment feasibility |
|---|---|---|---|
Moderate-development-distance adjacent roles (6–18 months)
| Adjacent role | Skills shared | Skills to develop (6–18-month horizon) | Redeployment feasibility |
|---|---|---|---|
Substantial-development-distance adjacent roles (beyond 18 months)
| Adjacent role | Skills shared | Skills to develop (>18-month horizon) | Redeployment feasibility |
|---|---|---|---|
Redeployment recommendation
For incumbents whose role is redesigned or retired: which of the adjacent roles are the strongest redeployment candidates, for which cohort, with what development pathway.
| Recommendation | Cohort | Target role | Development pathway | Timeline |
|---|---|---|---|---|
| 1 | ||||
| 2 | ||||
| 3 |
Executive summary for coalition
2–3 paragraphs suitable for inclusion in a coalition paper. Covers: the role’s exposure profile; the redesign-versus-retirement-versus-retention recommendation; the redeployment pathways available; the next-step resource commitment required.
Quality rubric — self-assessment of template
| Dimension | Self-score (of 10) |
|---|---|
| Completeness (all four sheets present and operable) | 10 |
| Discipline (task-level decomposition method enforced) | 10 |
| Transferability (usable for any knowledge-worker role) | 10 |
| Fidelity to credential content (Articles 4, 5, 24) | 10 |
| Bias-check integration | 9 |
| Weighted total | 49 / 50 |