A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.
Read the briefFrontier-class models on isolated infrastructure — your data never leaves the perimeter.
Explore the stackReplace repetitive operational overhead with deterministic rails plus AI judgment.
Pure-AI automation is unpredictable; pure-rules automation is brittle. The right answer is a hybrid: deterministic workflow engines for the parts that must be exact, AI for the judgement calls — with both fully observable.
We build idempotent, replayable workflows with saga-style compensation, so a failure never leaves your data half-changed. Every step is logged with lineage a regulator can follow.
Specific, production-grade capability — not a feature checklist.
Rules and code where correctness is non-negotiable; models only where judgement adds value.
Every step is safe to retry; whole workflows can be replayed from history.
Multi-system transactions roll back cleanly on failure — no half-finished state.
OCR, extraction, and validation pipelines that turn messy inputs into structured records.
Per-step audit trail and dead-letter handling for exceptions.
Edge cases route to a person with full context, then feed back into the rules.
Document every step, system, and exception path; agree what “done” and “failed” mean.
Implement the workflow on a durable engine (Temporal/n8n/custom) with idempotent, compensable steps.
Add AI only at the decision points that need it, each behind validation and evals.
Ship with dashboards, replay, and dead-letter queues; exceptions become new rules over time.
Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.