CIVITAS

AI Due Diligence & Evidence Pack

Turn scattered AI product evidence into a reviewer-ready pack.

For UK/EU B2B SaaS teams with live AI features and enterprise-review pressure. Civitas organizes model, vendor, data-flow, security, and governance material into a clear technical pack with explicit gaps and owner review.

Core pack
£2,500 / €2,950
For
AI-enabled B2B SaaS
Scope
One product or bounded system
Delivery
Schedule confirmed after intake

AI evidence pack

Synthetic-safe visual scaffold

Scattered inputs
AI scope
feature, system, and owner
Model / vendor
dependencies and terms
Data flow
sources, processing, outputs
Review pressure
buyer questions and deadline
Reviewer-ready pack
Model / vendor summary
dependencies and technical roles
Evidence register
sources mapped to reviewer questions
Response matrix
reviewer questions mapped
Gap register
weak, missing, or unknown
Reviewer summary
compact material for review

Enterprise review pressure

Enterprise reviewers need a coherent technical evidence story.

The answers usually sit across architecture notes, vendor terms, data-flow diagrams, policies, model documentation, security questionnaires, and founder knowledge. The pack brings that material into one reviewable structure and keeps unsupported areas visible.

Typical AI evidence gaps

Data flow not documented

important

Inputs, subprocessors, retention, or output handling are described informally.

Next action: Create a bounded data-flow map tied to source material and owner confirmation.

Model or vendor claims lack provenance

important

Product statements are not linked to inspected vendor terms, technical notes, or current controls.

Next action: Add stable evidence references and separate verified facts from assumptions.

Human approval is implicit

advisory

Review, escalation, and exception ownership exist in practice but are not documented.

Next action: Record approval points, responsible owners, and unresolved exceptions.

Deliverables

What the core pack includes

01

AI Data-Flow Map

02

Model and Vendor Summary

03

Evidence Register

04

Questionnaire / Response Matrix

05

Gap Notes and Owner Actions

06

Reviewer-Ready Summary

Methodology

A four-step path from scope to reviewed pack.

Scope to approved evidence pack

  1. 01 / Scope

    Confirm the product and buyer request

    Set the AI feature, deadline, available material, and named owner.

  2. 02 / Map

    Organize the existing evidence

    Connect data, models, vendors, controls, and documents to the reviewer questions.

  3. 03 / Gaps

    Separate support from unknowns

    Mark missing, weak, or owner-confirmation areas before drafting the pack.

  4. 04 / Deliver

    Hand over the pack for team review

    Your team confirms the wording and uses the approved material with the buyer.

Pricing

Choose the right starting point

AI Vendor Risk Gap Diagnostic

Price
£350 / €410

Focused evidence-gap review, priority register, and recommendation on whether the core pack is justified.

Book diagnostic

AI Due Diligence & Evidence Pack

Price
£2,500 / €2,950

Fixed-scope technical evidence pack for one AI-enabled product or bounded system.

Request core pack

Customer Security Questionnaire Response Pack

Price
£1,250

Pack for one live customer questionnaire or vendor review, with evidence-linked answers and explicit gaps.

View questionnaire pack

All scopes, payment terms, evidence boundaries, and delivery schedules are confirmed in writing before work starts.

Repeatable workflow pilots are available after a diagnostic or pack delivery.

Synthetic demo

Review a sanitized sample structure.

The sample shows the layout of the evidence register, data-flow map, model/vendor summary, questionnaire matrix, gap notes, and reviewer summary. It contains no client material.

Request a sample pack

Next step

Start with the evidence gap.

Send a short description of the AI feature, buyer request, product boundary, deadline, and available technical material. The first response will confirm fit and the evidence-transfer route.

Book the £350 evidence-gap diagnostic
  • AI feature or roadmap claim
  • enterprise reviewer or buyer pressure
  • product/system boundary
  • deadline and named owner
  • available model, vendor, data-flow, security, and governance material
  • sensitive-data and external-model boundary