AI Risk Maturity Assessment

As AI becomes a new way of working,

it also creates new business risks.

AI is already central to a company's daily life - employees use ChatGPT for client deliverables, AI notetakers join every meeting, you have a CV screening tool for hiring, a chatbot answers customer queries, and AI agents now manage admin.

These scenarios can quickly turn into business problems. Picture this -

An employee pastes client data into ChatGPT.
The client finds out, terminates the contract, and reports a data breach.
Your AI notetaker records you discussing a client after they drop off the call.
The client receives the summary and the relationship is damaged.
Your CV screening tool shortlists candidates unfairly.
You face a discrimination lawsuit.
Your chatbot gives a customer incorrect advice.
The customer holds you liable for the loss they suffer.
An AI agent approves outdated invoices.
Payments go out and you spend time and money reversing the error.

AI Risk is Real

These risks aren't hypothetical. Many companies are already facing real consequences from AI use (Nasscom, 2025). Forward-thinking organisations are now managing risk across key domains.

Accuracy: Are AI outputs accurate and dependable?

56% have experienced AI hallucinations.

Data Exposure: Could AI use expose sensitive data?

36% have experienced privacy violations.

Security: Could AI systems be manipulated?

38% have experienced security breaches and model misuse.

Explainability: Can AI decisions be explained to clients or regulators?

35% report lack of explainability as a major risk.

Bias and fairness: Is AI disadvantaging people unfairly?

29% have experienced unintended bias/discrimination.

Is your organisation ready to manage AI risk?