Security and responsible AI

Useful automation needs clear boundaries.

Our approach begins with data minimisation, controlled actions, transparent handoff, and testing around the exact workflow being deployed.

01

Use only what is needed

The workflow should collect and access the minimum information required for its approved purpose.

02

Limit what the agent can do

Tools, actions, and knowledge sources are scoped. Sensitive or high-impact decisions stay with authorised people.

03

Design for uncertainty

When information is unavailable or confidence is low, the agent should say so, collect context, or hand the conversation to a person.

04

Test realistic failure cases

Testing includes misleading prompts, missing data, unavailable integrations, out-of-scope questions, and escalation scenarios.

05

Keep ownership human

A named business owner approves source material, workflow rules, and changes after launch.

06

Review the full vendor chain

Models, voice, messaging, hosting, and connected systems may have separate data terms that are reviewed for each project.

Have security or data questions?

Tell us the workflow, data types, systems, and operating region. We’ll identify the questions that need to be resolved before launch.

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