How we deliver

Glacien Governed Agentic Workflow Framework

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.

Six stages

Discover → Bound → Configure → Govern → Prove → Scale. Every stage has a specific deliverable, a specific decision, and a specific handoff.

    • Watch the workflow with the people who own it.
    • Record the exceptions and workarounds that never appear in a process document.
    • Capture the baseline the customer will measure the outcome against.
    • Pick the outcome that matters, and the smallest workflow that changes it.
    • Assign responsibilities to the four lanes: deterministic, AI-assisted, agentic, human.
    • Agree the thresholds that will decide whether the workflow scales, changes, or stops.
    • Start from the packaged blueprint that fits the workflow.
    • Configure schemas, rules, tools, permissions, and integrations against the customer's environment.
    • Define the exception paths — the states a reviewer will actually see.
    • Every agent runs with the minimum tool, permission, and data scope its job requires.
    • Every consequential action passes through an approval gate; every reviewer decision is auditable.
    • Cancellation, override, and rollback are first-class controls, not afterthoughts.
    • Run against representative customer cases with human-reviewed ground truth.
    • Move from offline to shadow to reviewer-assist before any approved action.
    • Publish observed results only after the customer signs off on the measurement.
    • Extend one axis at a time — team, document family, region, action.
    • Monitor quality, drift, correction patterns, cost, latency, and unintended actions.
    • Roll back or narrow scope when a monitoring signal crosses its threshold.

Four responsibility lanes

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.

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.

AI-assisted

The system proposes; a person confirms.

  • Classification and triage suggestions.
  • Draft communications from approved templates.
  • Playbook-selection hints for a reviewer.

Agentic

Specialist agents coordinate multi-document work under configured tools and permissions.

  • Cross-document extraction with source links.
  • Retrieving related evidence to validate a field.
  • Assembling exception summaries for reviewers.

Human decision

Consequential decisions — legal, regulatory, financial, clinical, safety, customer-facing.

  • Accepting or rejecting a flagged field.
  • Approving an outbound communication.
  • Determining risk, fraud, coverage, or compliance.

The Workflow Proof

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.

Guardrails, evaluation, monitoring, rollback

Guardrails

Least privilege, read / write separation, and explicit approval gates on every consequential action. Cancellation, override, and rollback are first-class controls.

Evaluation

Representative customer cases with human-reviewed ground truth. Offline, shadow, reviewer-assist, and approved actions are separate phases, not the same button.

Monitoring

Quality, drift, correction patterns, cost, latency, and unintended actions are monitored on every workflow. Thresholds decide whether the workflow scales, narrows, or stops.

Rollback

Every workflow has a kill switch and a defined rollback path. Widening scope is a decision — narrowing scope should be a habit.

Attribution

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.

Bring us your hardest workflow.

A one-hour workflow review is the fastest way to see whether a Workflow Proof fits your team.