Deterministic rules
Stable, testable rules where the answer is not judgement.
- Schemas, format checks, and configured cross-field rules.
- Policy and control-library lookups.
- Ingest, deduplication, and handoff plumbing.
How we deliver
We start with how your people actually work, redesign the whole workflow, and configure governed agents, deterministic controls, and human decisions around a measurable operating outcome.
Discover → Bound → Configure → Govern → Prove → Scale. Every stage has a specific deliverable, a specific decision, and a specific handoff.
Every workflow assigns work into four lanes so the boundary between deterministic rules, AI-assisted suggestions, agentic orchestration, and authorised human decisions stays legible to the people who own the outcome.
Stable, testable rules where the answer is not judgement.
The system proposes; a person confirms.
Specialist agents coordinate multi-document work under configured tools and permissions.
Consequential decisions — legal, regulatory, financial, clinical, safety, customer-facing.
The first commercial unit is a Workflow Proof: one workflow, one user group, one document / data family, one measurable outcome, and one downstream handoff. It ends with an evidence-backed scale, change, or stop decision.
We do not commit to a fixed delivery timeline on a public page — the time it takes to prove a workflow depends on the workflow, the evidence, and the customer's security, compliance, and operating environment.
Least privilege, read / write separation, and explicit approval gates on every consequential action. Cancellation, override, and rollback are first-class controls.
Representative customer cases with human-reviewed ground truth. Offline, shadow, reviewer-assist, and approved actions are separate phases, not the same button.
Quality, drift, correction patterns, cost, latency, and unintended actions are monitored on every workflow. Thresholds decide whether the workflow scales, narrows, or stops.
Every workflow has a kill switch and a defined rollback path. Widening scope is a decision — narrowing scope should be a habit.
Each package is a governed agentic workflow with a defined problem, outcome, and boundary. The Workflow Proof is where the promise becomes evidence.
Inspired by workflow-discovery practice publicly described by Uber (Praveen Neppalli, 2026-07-07). Numbers and delivery timelines are Uber's; Glacien makes no equivalent promise.
A one-hour workflow review is the fastest way to see whether a Workflow Proof fits your team.