PARADOX✳
WHAT WE DO / 04

Make complexity
work for you.

Start with the problem in front of you. Build only the controls your business needs.

THE PLACE TO BEGIN

The AI
Reality Check.

One fixed-scope review brings the five areas below together. It shows how AI is being used, where information is moving, which outputs need verification and what the business should do first.

Explore the review ↗
01
AI use & governance

AI, with boundaries.

Give your people a clear answer to “Can I put this into AI?”

Explore this starting point ↗
WHAT THE WORK WOULD PRODUCE
  • An inventory of tools and use cases
  • A practical staff AI policy
  • Approval rules and human review points
02
Data & privacy foundations

Know what you hold.

Understand what information enters your business, where it goes and who can access it.

Explore this starting point ↗
WHAT THE WORK WOULD PRODUCE
  • A map of your key data flows
  • Retention and access priorities
  • Privacy notice improvement actions
03
AI output verification

Verify before you rely.

Test important AI-generated answers before they become quotes, advice, decisions or client deliverables.

Explore this starting point ↗ See how verification works ↗
WHAT THE WORK WOULD PRODUCE
  • A risk-based verification process
  • Source and evidence requirements
  • Human review points for important outputs
04
AI & supplier review

Check before you connect.

Make an informed decision before a new tool gets access to customer or staff information.

Explore this starting point ↗
WHAT THE WORK WOULD PRODUCE
  • Vendor and data-handling questions
  • A proportionate impact assessment
  • A documented go / change / stop recommendation
05
Team guidance & review

Make good practice stick.

Turn a document in a folder into everyday decisions your team can make without creating hidden dependence or unnecessary checking work.

Explore this starting point ↗
WHAT THE WORK WOULD PRODUCE
  • Role-specific staff guidance
  • An AI verification and escalation checklist
  • A workload and task-creep review
  • An agreed review rhythm
HOW AN ENGAGEMENT WORKS

Built around a decision.
Not a document.

01

Define the real question.

What are you trying to decide, what could go wrong and what would a useful answer allow you to do?

02

Follow the information.

Identify the tools, people, data, suppliers and outputs involved—not just the system visible on the screen.

03

Test what matters.

Review the evidence, controls and decision points in proportion to the consequence of failure.

04

Leave a clear next action.

Agree what can continue, what needs to change, who owns it and when the decision should be reviewed.

PRACTICAL OUTCOMES

What better looks like
on Monday morning.

AI USE

Your team knows what can go into AI.

People have usable rules, an escalation path and clear situations where human review is required.

DATA & PRIVACY

You can see where important information travels.

Access, retention, connected services and overseas handling are visible enough to make informed decisions.

VERIFICATION

Important outputs are checked before they become actions.

Evidence standards and review effort match the consequence of getting the answer wrong.

ACCOUNTABILITY

Someone owns the final call.

AI supports the work, but approval, uncertainty and business consequences remain attached to people.

DEFINED BEFORE WE BEGIN

A clear scope.
A fee you agree to.

Each engagement would begin with the tools, data and decisions you want reviewed. Deliverables, price, turnaround and any specialist input are agreed before work starts.

Concept service menu: availability and commercial terms are still being developed. No legal advice, security certification or guarantee of compliance.

THE FIRST STEP IS SMALL.

Find a way
forward.

Take the free AI Risk Check ↗ A few questions. A practical next step.
No personal details required.