How Often Must Progress Be Reported and to Whom?

Signing the Skills Compact is not a one-off pledge.

It creates an ongoing obligation to demonstrate that workforce AI literacy is genuinely improving, which means someone has to decide how often progress is reported, and to whom.

Without a clear rhythm, programmes drift. Training gets delivered but nobody aggregates the evidence. Board members are left unable to answer straightforward questions from regulators or clients. The initiative loses momentum simply because reporting was never built into existing governance cycles.

Getting the cadence and audience right early on turns reporting into a routine governance activity rather than a last-minute scramble before a board meeting or regulatory request.

Why reporting cadence matters operationally

Firms that commit to the Skills Compact are, in effect, taking on a continuous accountability obligation.

That obligation only becomes manageable if it is built into existing governance structures rather than treated as a separate initiative.

When reporting is irregular or ad hoc, three problems tend to appear:

• Training activity happens but nobody consolidates it into meaningful progress data.
• Risk, compliance and board committees are unable to answer questions about workforce AI readiness when asked.
• The programme loses visibility and, eventually, priority, because nobody is routinely checking on it.

A defined cadence avoids all three by making reporting a predictable, recurring task rather than a reactive one.

A tiered reporting structure works best

Most firms should expect two broad tiers of reporting.

The first is operational reporting, typically quarterly, into HR, L&D and risk or compliance functions. This tier tracks the detail: who has completed training, what assessment scores show, and where gaps remain.

The second is strategic reporting, typically annual or aligned to board cycles, summarising overall progress for the board and, where relevant, external stakeholders such as government bodies or industry groups tracking Skills Compact commitments.

There is no single mandated frequency that applies to every firm. The right cadence depends on your organisation's size, existing governance calendar and how visible the Skills Compact commitment needs to be to external parties. What matters is consistency, not a specific number of reports per year.

Traditional approaches to workforce reporting

Firms already have established mechanisms for reporting workforce training activity, and these form a reasonable starting point for Skills Compact reporting.

Common traditional approaches include:

• Spreadsheet-based tracking maintained by HR or L&D teams.
• Extracts from learning management systems summarising completion rates.
• Manual board packs compiled ahead of scheduled meetings.
• Periodic compliance attestations tied to existing regulatory reporting cycles.

These approaches work reasonably well for straightforward attendance tracking. They become harder to sustain when a programme spans multiple business units, involves varied training formats, or needs to demonstrate actual literacy outcomes rather than simple attendance.

Manually consolidating this information every quarter is time-consuming, and the effort tends to fall on whoever owns the programme, often without dedicated resource.

Where AI genuinely helps

AI can reduce the manual burden of pulling together progress reports without replacing the judgement required to interpret them.

Practically, this means AI can help:

• Aggregate training completion data from multiple systems or spreadsheets into a single consistent view.
• Draft summary narratives of progress for review by the programme owner before submission.
• Flag gaps in coverage, such as teams or business units with lower completion rates.
• Highlight inconsistencies between participation data and assessment outcomes.

What AI should not do is decide what the report says, determine whether a gap is acceptable, or take responsibility for escalation. Those decisions remain with programme owners, HR and L&D leads, and the committees receiving the reports.

Used this way, AI acts as an aggregation and drafting aid, freeing programme owners to spend their time on interpretation and follow-up rather than data compilation.

Example

A mid-sized London clearing broker signs the Skills Compact and commits to up-skilling its trade support and reconciliation teams.

The L&D lead sets up a quarterly internal report to the risk committee summarising training completion and assessment scores, and an annual summary to the board that ties AI literacy progress to the firm's broader operational risk narrative.

By aligning reporting to existing risk committee and board cycles, the firm avoids creating a separate reporting process, keeps the board genuinely informed, and can respond confidently if asked by regulators or clients to evidence Skills Compact progress.

FAQs

• Is there a government-mandated reporting frequency for the AI Skills Compact?

  Specific mandated frequencies may evolve as government guidance develops. In the meantime, firms should align to the latest published expectations and, as a practical baseline, maintain at least quarterly internal review of progress.

• Who should receive Skills Compact progress reports outside the organisation?

  External audiences may include government bodies tracking Skills Compact commitments and, in some cases, clients or regulators requesting evidence of workforce AI readiness as part of due diligence or supervisory engagement.

• What should be included in a Skills Compact progress report?

  A useful report includes participation rates, assessment outcomes, gaps identified across teams or business units, and remediation plans. Reports built solely on attendance figures do not demonstrate genuine literacy progress.