Engagement Models

PreMetric engagements are bounded and finite. Pricing reflects decision capacity, not software access, monitoring, or ongoing service dependencies.

Two decision domains

PreMetric operates across two distinct contexts. Both follow the same structured methodology and produce documented, defensible outcomes.

A

Enterprise AI Decisions

Audience

Organisations deploying AI under board oversight

Decision Context

Internal deployment decisions where accountability, risk, and governance must be documented before initiatives proceed.

Output

Decision records, board-ready materials, and portfolio-level prioritisation guidance.

Engagement Types
Single Decision Review
Decision Portfolio
Annual Decision Program
B

Capital & Transaction Decisions

Audience

PE, M&A, hedge funds, and strategic investors

Decision Context

AI risk as valuation risk. Assessment of AI-driven assumptions embedded in acquisitions, investments, and portfolio companies.

Output

Due diligence documentation, IC materials, valuation risk assessments, and exit-readiness records.

Engagement Types
Transaction Due Diligence
Portfolio Company Assessment
Strategic Investment Review

Enterprise AI Decisions

For organisations deploying AI internally under board oversight. All engagements are finite and conclude with documented decision records.

Single Decision Review

Complete assessment of one AI initiative, resulting in a documented recommendation and decision record suitable for board review and regulatory inquiry.

Scope

  • One AI deployment initiative
  • Complete application of the PreMetric decision framework
  • Board-ready materials

Deliverables

  • Documented recommendation: approve, modify, stop, or reassess
  • Complete decision record with supporting rationale
  • Executive summary for board review

Pricing reflects initiative complexity and capital exposure.

Decision Portfolio

Assessment of multiple AI initiatives within a defined portfolio to support prioritisation and comparative decision-making.

Scope

  • Multiple initiatives evaluated concurrently
  • Comparative assessment across initiatives
  • Portfolio-level decision coherence

Deliverables

  • Individual decision records per initiative
  • Portfolio-level prioritisation guidance
  • Consolidated risk and value overview

Pricing based on number of initiatives and portfolio complexity.

Annual AI Decision Program

Pre-allocated decision capacity for organisations with recurring AI deployment decisions.

This is not a subscription and not ongoing oversight. Capacity is consumed only when decisions are required.

Structure

  • Pre-allocated decision capacity
  • Flexible timing aligned to organisational needs
  • Integration with governance and approval cycles

Advantages

  • Predictable access to decision support
  • Consistent methodology across initiatives
  • Strategic coherence over time

Annual commitment with capacity allocated to discrete decisions as needed.

Capital & Transaction Decisions

For PE, M&A, hedge funds, and investors. AI risk is valuation risk. PreMetric evaluates AI assumptions embedded in transactions.

Transaction Due Diligence

Assessment of AI-driven value assumptions in acquisition, investment, or merger contexts.

Target evaluation

AI value claims, deployment readiness, and exposure

IC support

Documentation supporting investment committee decisions

Deal structuring

Valuation adjustments informed by AI risk assessment

Pricing reflects transaction size and AI complexity.

Portfolio Company Assessment

Post-acquisition evaluation of AI deployment decisions within portfolio companies.

Deployment decisions

Should initiatives proceed, be modified, or paused?

Value realisation

Validity of AI assumptions supporting the investment thesis

Exit readiness

Documentation supporting AI value claims at exit

Engagement aligned with value-creation timelines.

Strategic Investment Review

Evaluation of AI deployment strategies for hedge funds, growth equity, or strategic investors.

Competitive assessment

Is AI strategy defensible?

Execution credibility

Can strategy be delivered as claimed?

Risk quantification

Downside scenarios and probability assessment

Designed for investor decision-making timelines.

Decision Assurance Reviews

Episodic reassessment of deployed AI initiatives. Not monitoring. Not certification.

Reviews are triggered by defined events -- not by calendar. Each produces an updated decision record confirming or revising the original determination.

T=0

Initial Decision

Approve, Modify, Stop, or Reassess

Decision record established with documented assumptions and conditions.

T+1

Regulatory Change

Event Trigger

New regulation or guidance issued

Reassessment evaluates whether prior decision remains defensible under new requirements.

T+2

Incident or Failure

Event Trigger

Operational incident or assumption invalidation

Review whether deployment conditions still hold and decision record requires update.

T+3

Strategic Pivot

Event Trigger

Organisational or market shift

Assess whether original value and risk assumptions remain valid under changed strategy.

T+4

Annual Confirmation

Event Trigger

Periodic defensibility check

Confirm deployment decision remains sound. Update decision record as institutional evidence.

Decision Assurance Reviews are episodic, not continuous. They maintain decision defensibility by confirming assumptions still hold -- not by monitoring system behaviour.