AI Value Validation

• Portfolio CEO
• Chief Financial Officer
• Chief Technology Officer
• Operating Partner
• Transformation or Business Leader

• AI Pilot or Early Deployment
• Unclear ROI
• Pressure to Scale
• Stalled Transformation
• Board or Sponsor Challenge on Value Realization
• Material Investment Decision

Fund / Revise / Stop / Scale

• Strategic Claim to Operational Evidence
• Workflow Baseline
• Adoption and Execution Dependencies
• Productivity, Revenue, Margin, and Risk Outcomes
• Cost per Verified Business Outcome
• Human Intervention and Exception Handling
• Value Realization Path to EBITDA or Growth
• Explicit Stop / Scale Criteria

• Agentic Outcome Economics
• AI Deployment Operating Model Diagnostic
• Dual Value / Safety Case
• Physical Automation Value Assessment

1. AI Value Validation

   Duration

   4–6 Weeks

   Indicative Fee

   $35K–$60K

   A focused validation of the operating evidence, economics, dependencies, and value realization required to determine whether an AI initiative should be funded, revised, stopped, or scaled.

• Value Hypothesis
• Baseline and Evidence Model
• Economics Bridge
• Dependency and Risk Map
• Fund / Revise / Stop / Scale Decision
• Operating Actions
• Value-Realization Plan

• BBS provides independent value, technology, economic, and operating judgment.
• Implementation, program management, and enterprise-wide transformation execution remain outside the scope of the engagement.
• Financial outcomes are treated as evidence-based scenarios, not guaranteed results.
• Specialist technical, legal, or assurance support is introduced where required.

• Primary Practice

  P02AI & Technology Value-Creation Sprint

• Connected Practice

  P01Portfolio AI & Technology Value-Creation Scan

• Connected Practice

  P05AI-Native Engineering Operating Model

• Connected Practice

  P06Agentic AI Architecture, Security & Governance Blueprint

• Connected Practice

  P08Post-Merger Integration / Carve-Out Technology Blueprint