Orchestrated workflows
- Each run is a defined sequence with logging and overrides
- Step through a live example: intake through human review
- Governance choices visible in the flow—not bolted on later
AI · Governance
Dependable automation means refusing opaque answers in production. We document scope up front, log decisions end to end, and route uncertainty to people with enough context to decide quickly—not after the fact.
Non-negotiables for how we design, ship, and maintain AI-assisted workflows inside your authenticated systems.
Document what runs automatically, what requires a reviewer, and what data each step may access.
Escalate high-risk or low-confidence outcomes to a person with enough context to decide quickly.
Retain inputs, prompts, rule versions, outputs, and overrides to support investigations and continuous improvement.
Minimize retention, segregate environments where needed, and keep sensitive payloads inside boundaries you define.
When confidence is low or data is incomplete, stop and route to a human instead of fabricating an answer.
Surfaces that show what ran automatically, what waited for a person, and where to intervene—without needing raw prompt access.
Runbooks, data-flow notes, and decision logs—not model cards buried in a folder nobody opens.
Security and compliance in the room during scoping—so governance isn’t a surprise at handoff.
Rules and prompts versioned with the same discipline as application releases, with clear rollback paths.
Sectors where our systems run
Invite your security and compliance stakeholders early—we’ll map scope, logging, and review gates the way you already ship software.