PARTNERS

Add selected Workbench capabilities through bounded OEM and partner integrations

Diagnostic

AI Security Maturity Benchmark Packet

Establish a directional, analyst-reviewed baseline of AI security ownership, control coverage, evidence gaps, and priority work.

The first deliverable is a decision package: what is in scope, what is required, what is blocked, and what can proceed.

No production testing, adversarial activity, access to secrets, or customer-data processing happens without explicit authorization and the right agreement path. Do not enter secrets or credentials here.

What to gather for this packet

Needed: Current-state overview · AI usage landscape · Key concerns

Helpful: Prior assessments · Framework targets · Org context

Bring names and high-level descriptions only — exact targets, accounts, and credentials are shared later through a secure channel.

Engagement

Readiness inputs

Deliverables you want

Packet modules

  • Scope BriefWhat is in scope, what decision is being made, and what success looks like.
  • Buyer Pressure SummaryThe pressure that triggered the engagement and the buyer questions behind it.
  • Evidence Handling PlanWhere evidence is stored, redaction, retention, and deletion.
  • Contract RequirementsThe required and conditional agreements for this engagement.
  • Open QuestionsWhat is still required before a scoping call or private offer.
  • Follow-On RecommendationsNatural next services once this engagement completes.
  • Deliverables PlanThe artifacts the buyer will receive and in what format.

AI Security Maturity Benchmark Packet — preview

Diagnostic

Scope Brief

  • Organization: To be specified during scoping
  • Decision: Establish a directional, analyst-reviewed baseline of AI security ownership, control coverage, evidence gaps, and priority work.
  • Driver: We do not yet know our AI security gaps or where to invest first.

Buyer Pressure Summary

  • Pressure: New leader/mandate, Pre-program scoping, Budget planning, Audit prep
  • Buyer questions: To be added

Evidence Handling Plan

  • Evidence stored in an access-controlled encrypted store; redaction; agreed retention + deletion.

Contract Requirements

  • Mutual NDA — Required for this engagement.
  • Evidence Handling Policy — Required for this engagement.
  • No-Cost Scoping Retainer (conditional) — Scope before any paid work or active testing.
  • Statement of Work Template (conditional) — If run as a paid diagnostic, a lightweight SOW applies.

Open Questions

  • The buyer questions / questionnaire to answer

Follow-On Recommendations

  • ai governance program build
  • ai product security assessment
  • secure ai sdlc

Deliverables Plan

  • Analyst-reviewed program baseline
  • Control coverage and evidence gap view
  • Priority findings
  • Owned 30/60/90 roadmap

Onboarding

Move four tracks in parallel

We put legal, finance, procurement, and technical scoping on parallel rails so the work can start without waiting on every internal process sequentially.

Technical / Program Definition

Output: Draft Engagement Plan

  • system or capability in scope
  • workflow and integration points
  • access or environment needs
  • authorization and boundaries

Legal

Output: NDA + Scoping Authorization

  • mutual NDA
  • data handling
  • authorized use boundaries
  • confidentiality
  • work-product terms

Finance / Procurement

Output: Procurement Packet

  • vendor profile
  • tax/payment details
  • budget category
  • fixed-fee quote path
  • invoice terms
  • onboarding answers

Internal Approval

Output: Approval Memo

  • why now
  • business pressure
  • risk if delayed
  • expected deliverables
  • timeline
  • decision needed

Output

Your output: a clear, measurable prescription.

SCOPE delivers a one-page engagement plan you can share and act on immediately.

  • Situation & core problem
  • Desired outcome & success criteria
  • Key risks & assumptions
  • Recommended path(s)
  • Effort, timing & impact
  • Open questions & next step

SCOPE Prescription

Situation

Criteria

Recommended path

Next step

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