LocusPhiTrust & security
Designed with enterprise security requirements in mind.
Access control
Role-based permissions control who can see and act on what.
Data protection
Encryption in transit and at rest for connected data.
Audit trails
Actions and decisions are logged for review.
Human approval
Configurable approval points for sensitive or high-value actions.
Private deployment
Solutions can run inside your cloud environment where required.
Data isolation
Your data is not used to train shared models.
Model choice
Choose the model or deployment that fits your privacy requirements.
We do not hold formal certifications such as SOC 2 or ISO 27001 at this time. Security posture is discussed in detail as part of any engagement, and we're happy to work through your specific requirements.
AI governance, audit & observability
Every AI workflow we build is engineered, tested and monitored the way production software is — not shipped as a one-off prompt and left alone.
Context engineering
We define exactly what information the AI sees for each decision — the right records, history and policy — so it reasons over complete, relevant context instead of a generic prompt guessing at what matters.
Structured orchestration
Multi-step reasoning and tool use is built as an explicit, inspectable sequence of steps (commonly with LangGraph or a comparable framework) — not a single black-box call — so every decision point can be traced, tested and changed independently.
Evaluations before deployment
Before a workflow goes live, we test it against real and edge-case scenarios and track its accuracy against a defined benchmark, not just a working demo.
Observability & tracing
Every run is traced end to end — what the AI read, how it reasoned, what it decided and why (typically with LangSmith or an equivalent) — so an unexpected outcome can be diagnosed, not just re-run and hoped away.
Guardrails & policy enforcement
Business rules, approval thresholds and output constraints are enforced outside the model, as a hard boundary the AI operates inside rather than one it could reason its way around.
Versioning & rollback
Prompts, rules and workflow logic are versioned like code, so a change can be reviewed, tested and rolled back if it doesn't perform as expected.
Human-in-the-loop by design
Every workflow has explicit, configurable points where a person reviews or approves before an action is final — not an afterthought bolted on later.
Full audit trail
Every decision the AI makes is logged with its inputs, reasoning and outcome, available for compliance review and used to improve the workflow over time.