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PSYCHFLO · ENTERPRISE INTELLIGENCE

Workforce Intelligence & Predictive Analytics

Model aggregate workload, FTE capacity, staffing scenarios, skills gaps and role backups alongside a governance maturity review. Outputs depend on your assumptions and do not predict individual employee behaviour.

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9 industry editions10 controls per edition30 / 60 / 90 day action plan

CHOOSE YOUR INDUSTRY

Make the review relevant.

Industry edition

customer data governancevendor oversightoperational change

Framework context: NIST AI RMF · ISO/IEC 42001. References describe conceptual alignment; check applicability and exact requirements with qualified specialists.

Your licensed workspace.

Review title

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AGGREGATE WORKFORCE PLANNING

Test the capacity behind your plans.

General operational workload Workload unit: transactions per month. Use your selected edition’s licence above to run or save a plan.

Supply your own aggregate assumptions. This is a transparent planning calculator; scenario outputs are conditional, not validated predictions. Use role and skill categories without employee names or personal records.

Average headcount

Baseline FTE capacity

Annual leavers (people)

Planned annual hires (people)

Monthly workload units

Monthly units per effective FTE

Annual loaded cost per FTE (£)

Replacement cost per departure (£)

Absence (%)

Vacancy (%)

Annual demand change (%)

Rates are entered as percentages. Use vacancy 0% if your baseline FTE already excludes vacant posts. Productivity must use the same monthly workload unit as demand. Hires and leavers are modelled at your current average FTE per person.

Skills coverage · optional aggregate rows

Enter a capability category and its required and available FTE. Rows are included in the saved plan only when you choose Save plan.

Succession coverage · optional role categories

Use role families, not named individuals. A zero-backup category is a discussion prompt, not an employee evaluation.

Plan title for saving

Run sends aggregate inputs for calculation. Save stores the assumptions and category labels for your licence. Clear inputs only clears this page; use Delete plan to remove a saved plan.

ASSESS WHAT YOU CAN EVIDENCE

A clear starting point.

Browse the controls freely. Scoring, saved reviews, downloads and exercises require a licence for your selected product and industry. Do not enter personal records, secrets or confidential evidence.

General Business0 / 10 controls answered

Accountability and evidence for aggregate turnover analysis

Is there a documented, approved and periodically reviewed process for aggregate turnover analysis, with accountable owners and evidence of operation?

Evidence to collect: approved policy or procedure; named control owner; latest operating record; review date and exceptions.

NIST AI RMF / ISO 31000 (conceptual alignment)

Accountability and evidence for skills coverage

Is there a documented, approved and periodically reviewed process for skills coverage, with accountable owners and evidence of operation?

Evidence to collect: approved policy or procedure; named control owner; latest operating record; review date and exceptions.

NIST AI RMF / ISO 31000 (conceptual alignment)

Accountability and evidence for capacity forecasting

Is there a documented, approved and periodically reviewed process for capacity forecasting, with accountable owners and evidence of operation?

Evidence to collect: approved policy or procedure; named control owner; latest operating record; review date and exceptions.

NIST AI RMF / ISO 31000 (conceptual alignment)

Accountability and evidence for workforce cost scenarios

Is there a documented, approved and periodically reviewed process for workforce cost scenarios, with accountable owners and evidence of operation?

Evidence to collect: approved policy or procedure; named control owner; latest operating record; review date and exceptions.

NIST AI RMF / ISO 31000 (conceptual alignment)

Accountability and evidence for data fairness review

Is there a documented, approved and periodically reviewed process for data fairness review, with accountable owners and evidence of operation?

Evidence to collect: approved policy or procedure; named control owner; latest operating record; review date and exceptions.

NIST AI RMF / ISO 31000 (conceptual alignment)

Accountability and evidence for workforce privacy

Is there a documented, approved and periodically reviewed process for workforce privacy, with accountable owners and evidence of operation?

Evidence to collect: approved policy or procedure; named control owner; latest operating record; review date and exceptions.

NIST AI RMF / ISO 31000 (conceptual alignment)

Accountability and evidence for executive reporting

Is there a documented, approved and periodically reviewed process for executive reporting, with accountable owners and evidence of operation?

Evidence to collect: approved policy or procedure; named control owner; latest operating record; review date and exceptions.

NIST AI RMF / ISO 31000 (conceptual alignment)

Customer Data Governance

For General Business, how are risks related to customer data governance identified, assessed, documented, tested and escalated?

Evidence to collect: industry-specific risk assessment; test results or sampled cases; management approval; incident or exception log.

NIST AI RMF; ISO/IEC 42001 (applicability must be verified)

Vendor Oversight

For General Business, how are risks related to vendor oversight identified, assessed, documented, tested and escalated?

Evidence to collect: industry-specific risk assessment; test results or sampled cases; management approval; incident or exception log.

NIST AI RMF; ISO/IEC 42001 (applicability must be verified)

Operational Change

For General Business, how are risks related to operational change identified, assessed, documented, tested and escalated?

Evidence to collect: industry-specific risk assessment; test results or sampled cases; management approval; incident or exception log.

NIST AI RMF; ISO/IEC 42001 (applicability must be verified)

INDUSTRY TABLETOP

Practise the response.

Fictional educational scenarios for team discussion. Exercise results are not part of the maturity score and remain in this page.

Working assessments and starter documents require organisation-specific tailoring, evidence and qualified review. Optional AI advice is not enabled in this workspace.