Nobody hands the business to AI in one decision. Work moves from human-checked to autonomous one workflow at a time, and each stage is held in place by something specific. This page is the method: where a workflow can be, what holds it there, and the six steps that take it off.
Move from human-checked to autonomous, one workflow at a time.
For what Cogward is and what it provides, see the homepage. For the architecture underneath, see the platform.
Nobody goes from a reviewed pilot to an autonomous process in one move. Work climbs, one workflow at a time, and each stage is held in place by a different problem. Here is the whole path, what holds a workflow at each stage, and the step that takes it off.
Every step below moves the same thing: one supervisory context per unit of delegated work, holding its intent, its execution, the identity and delegated authority behind it, the policy decisions that applied to it, what your authoritative systems say happened, and the limits and accumulated exposure that remain. The steps are the order in which an enterprise builds that context up and starts trusting it.
Most production AI programs are on the first two rows. The six steps below are how a workflow gets to the rest.
Pick one workflow that people currently check. Cogward reads the work that already ran and reports how much of it can be independently established, how much cannot, and what the routine checking costs today. Nothing is enforced and nothing changes in your systems at this stage.
The headline is the unattended completion rate: the share of eligible delegated work reaching its intended completion state without human review. Few teams measure this directly today. It is the baseline every later step is scored against, and it is usually the moment the problem stops being abstract.
The 23% is the interesting part. Some of it is missing connectivity, some is work that genuinely cannot be established yet, and knowing which is which is what makes the rest of the path plannable.
Cogward watches the agent's trajectory to check behaviour against intent while the work is still steerable, and reads the systems that actually hold the result to establish what happened. For state-changing work, authoritative enterprise state is the strongest basis for establishing completion. It uses the connectivity you already have: direct APIs, MCP servers, iPaaS, event streams, warehouses, and your own adapters.
Every work item then carries a result on two axes, because "the work failed" and "the check could not run" are different problems with different owners.
Unknown against unavailable evidence is a binding gap for your platform team to close, and it shrinks as you connect systems. Contradicted is work that genuinely went wrong. Keeping them apart is what makes the residue actionable instead of alarming.
Missing evidence stays unknown instead of becoming false completion. Unknown stays unknown until it is reconciled or escalated, and it blocks anything that would compound it.
This is the step where human review stops scaling with agent volume. The queue a person works is generated by evidence rather than by a sampling rate: they see the work that cannot close unattended, results established as contradicted or partial and outcomes that are genuinely unknown, weighted by what it would cost if it is wrong. Everything the evidence closes, closes unattended.
Evidence sufficient, low exposure. The work proceeds without interruption.
Reconcile or verify before a sensitive continuation.
Hold, approve, redirect, or involve a human.
Human review is not failure. It is the correct outcome when uncertainty cannot be resolved at acceptable risk.
The further a workflow goes, the more precise "done" has to be. That precision is earned rather than demanded up front: you define more only where you want more autonomy, and the agent stays free to choose how the work gets done.
A completion definition is a short reviewed artifact rather than a modelling project: a handful of conditions, the systems that establish each one, and how entities bind to the work. Your team writes and owns it.
Steps 1 to 4 need no control over how your agents run. Cogward can observe and verify from outside the execution path, because establishing a result means reading the systems that hold it. Holding or redirecting an action is different: for that, Cogward has to be inline. Recovering an ambiguous action safely means being in the path when it is dispatched.
This is the step teams reach for once evidence-flagged exceptions are working and the remaining cost is the person clearing the queue. How far in you go is a choice per workflow, and the far end is a different kind of thing from the rungs before it.
lightest integration → deepest supervision
You choose the depth per workflow, and you can run different workflows at different depths. Breadth and depth are both the point: supervise the heterogeneous estate you already have, and run the work that warrants it inside Cogward. Capabilities carries the current availability of each.
Inside Cogward's runtime, supervision becomes part of execution: one durable context holds the objective, the authority, every attempted effect, the evidence, and the decision about what may happen next. See the runtime architecture and the closed loop →
A workflow that has run supervised for a quarter carries a record: what it did, how often the result could not be established, what the exceptions cost, and which version produced them. That record is what an autonomy decision should be argued from, and it is what makes the second workflow cheaper than the first.
Expansion still moves in bounded steps. Evidence from the envelope a workflow runs in today does not carry automatically to a wider one, so the ceiling moves by rollout and measurement rather than by extrapolation.
The control plane manages the operational definitions around the work: identity, authority, evidence bindings, policies, versions, deployment environments, completion definitions, and supervision history. Agents are still built with the frameworks and models your teams choose.
Bring one workflow people still check by hand. Cogward measures how much of it can be established today, where the evidence is missing, and what the routine checking costs. Everything after that is the path above, taken one stage at a time.