SECURITY & RESPONSIBLE AI

Access, data,
and AI controls.

Responsible enterprise automation is designed around permissions, validation, oversight, and recovery. These principles guide how we assess and engineer each engagement.

Control belongs
in the design.

Access and security requirements are agreed with each customer. Specific controls depend on the system, data, risk, and deployment environment.

01

Role-based access

Permissions reflect a person’s responsibilities and their assigned work.

02

Least privilege

Integrations receive only the access needed for their defined purpose.

03

Human approval

Sensitive or uncertain actions can require explicit authorization.

04

Auditability

Important decisions, approvals, and system actions are recorded where appropriate.

05

Data protection

Apply appropriate encryption in transit and at rest for the deployment and data involved.

06

Credential security

Keep secrets in protected configuration, outside source code and public interfaces.

07

Monitoring

Observe workflow health and surface failures to the people responsible.

08

Safe failure handling

Expose exceptions and prevent incomplete or uncertain work from silently proceeding.

09

AI confidence & validation

Check outputs, use suitable thresholds, and route uncertainty for review.

10

Customer-controlled permissions

Customers retain control over access to their business systems.

Have security, data handling, or access requirements? Include the requirement in your enquiry. Please do not send credentials, API keys, or sensitive documents through the public form.

Discuss access and data requirements

Tell us about the data involved, who should have access, and any controls your project must meet.

Share security requirements