Deterministic, auditable AI embedded into regulated workflows — every decision defensible.
Most AI deployments in regulated environments fail not because the AI is wrong, but because no one can explain why it made a decision. Regulators require auditability. Legal teams require defensibility. Operational teams require predictability. We design AI decision systems that are explainable by design — not as an afterthought.
Not everything should be a model. We use rule engines where the rules are correct, models where models outperform rules, and explicit handoff logic between the two. PoliSync's insurance quoting engine processes finite terminology combinations using arrays and regex — 3x faster than an LLM approach, zero model cost, 100% auditable.
Every AI decision system we build has explicit human override capability, defined authority boundaries, and escalation logic. The system knows what it can decide and what it must escalate.
Every decision is logged. Every input, every rule applied, every model output, every human intervention. Regulators can reconstruct any decision from first principles.
We listen first. No pitch. Tell us what you are building or what problem you are trying to solve.