Data & security
Agree data access
before the build.
An AI workflow needs clear boundaries. We work through the data, permissions and provider choices with you before the build.
Questions we settle during scoping.
- 01
Data and providers
What information is required? Which providers process it, where, and under what terms? What must stay out of the workflow?
- 02
Access and permissions
Which systems can the workflow read or write? Who owns those accounts? Agree the permissions needed for the specific task.
- 03
Review and exceptions
Which outputs need approval? What happens when a reference is missing, a match is uncertain or a connection fails?
- 04
Retention and handover
What gets stored, for how long, and who can access it? Agree documentation, ownership and the operational handover.
Your requirements
shape the implementation.
Bring your organisation’s access rules, data policies and required approvals to the audit. We use them to scope the workflow, provider choices and handover.
Show us a process
your team repeats.
Start with a free discovery call. Show us one repeated process and the systems your team uses.