Built to be trusted in your workflow.

Automation that touches your tools, data or customers has to be safe by design. Here is how we approach AI, access and data handling plainly.

Principles

Four things we always hold to.

These are not optional add-ons. They apply whether the build uses no-code, custom code, AI agents or dashboards.

Ownership

No-code workflows, custom services, dashboards and agents run on accounts you own and control.

Least access

We request only the access a workflow, integration, agent or dashboard genuinely needs, and remove access we no longer require.

Secrets

API keys and secrets live in secret managers and environment configuration — never hard-coded, never committed to a repository.

Auditability

Automations and agents log what they did and when. When something needs explaining, there is a record — not a shrug.

How it works in practice

Security is mostly clear access, careful data paths and habits done consistently. These are ours.

Custom code lives in version control with reviewed changes — no editing live in production.
AI outputs are constrained with schemas, review states or validation where the workflow requires it.
Monitoring and alerting on important workflows, agents and integrations, so failures are visible.
Data handling is scoped to the automation task, with retention discussed and agreed in the blueprint.
Dependencies kept current; known-vulnerable packages flagged and updated.
Clear handover of workflows, credentials, prompts, dashboards and documentation, so you are never locked out of your own system.

Have a specific compliance requirement — HIPAA, SOC 2, GDPR? Raise it on the call and we will tell you honestly where we stand and what we can meet.

Questions about security?

Bring your security and compliance questions to the audit call. We answer plainly, including where a workflow should not be automated.

A real engineer answers, not a sales rep.