Turning
shadow AI into
an opportunity

In-workflow guardrails, guidance, and learning that build better AI habits, replacing restriction with responsible enablement.

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Why shadow AI matters

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Organisations without clear controls on shadow AI
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Average global cost of a data breach
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Average additional breach costs from shadow AI

IBM Cost of a Data Breach Report 2025

You can’t improve what you can’t see

Most organisations have no visibility into how employees are actually using AI tools day-to-day

People are experimenting, but without guidance

Employees are using AI, but they lack sufficient support on safe, compliant, and effective use

Small mistakes create big risks

Unguided AI use leads to sensitive data leakage, GDPR violations, poor quality outputs, and operational risk

Shadow AI is not a policy or technology failure.
It emerges when organisations fail to intentionally shape the culture, behaviours, and habits that govern responsible everyday AI use.

Bringing shadow AI into the light and turning it into a value driver.

Clear visibility into real AI use

Understand where and how AI is actually being used across the organisation, so shadow AI is surfaced early and addressed constructively, not discovered after something goes wrong.

Supported AI use, not restriction

Support and empower people through behavioural guidance at the point of use, shaping responsible AI habits while preserving autonomy and productivity, without resorting to blanket bans or heavy restrictions.

Shared responsibility, lower risk

Establish clear, shared expectations for AI use, with responsibility explicitly defined across teams, reducing risk as AI use scales.

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