Delegated Work Control

Make one risky workflow safe to delegate.

CREATE SOMETHING maps what can run, what waits for approval, what must stop, who owns the decision, and what receipt proves the work before agents or automations touch customers, revenue, production, or credentials.

Run Safe actions move inside the lane.
Wait Judgment calls pause for the owner.
Stop Outside work stops with a reason.
Receipt Evidence names the owner and outcome.
The pain

The problem is not capability. The problem is trust.

Your team already has AI tools, automations, and connectors. The missing layer is the operating boundary around delegated work.

Trust gap
Your tools can act before the workflow is safe

AI tools, automations, and connectors can move work. The risk is unclear owners, unsafe writes, missing approvals, hidden credentials, and no receipt when the work moves.

Buyer pain
Someone still has to babysit the edge cases

The workflow touches customers, revenue, production, credentials, or approvals, so the team keeps watching instead of safely delegating.

First answer
Make one risky workflow inspectable

Start by defining what can run, what waits, what stops, who decides, and what proof survives the handoff.

Default wedge

Start with support recovery and customer-trust work.

Support recovery is easy to understand and hard to fake: one lane can show what runs, what waits for a person, what stops, and which receipt survives the handoff.

Workflow control Support recovery run
Auto-allow
Current request

Address Fix

A customer corrects the shipping address before fulfillment cutoff. Update the order note, notify the warehouse, and send confirmation.

workflow_trace sandbox - receipts attached
01 Order is paid and still unfulfilled
02 Address format and service zone validated
03 Write limited to note + customer reply
4 objects named
3/3 scope checked
3 receipt files
Service path

Map. Pilot. Control.

The work stays narrow until the first safe delegation point is visible, proven, owned, and bounded by client-controlled accounts, access, and evidence.

01 Map Bring one workflow

Name the support recovery, revenue, customer-trust, or production handoff the team already protects by hand, with accounts and access still client-owned.

Output: object map, owner map, action boundary, receipt plan.
02 Pilot Build the first safe path

Turn the map into scoped actions, approval-needed states, blocked states, and an operator surface.

Output: working path, runbook, release evidence.
03 Control Add the trust layer

Wrap delegated work with decision rules, least-privilege access, receipts, recovery notes, and accountable ownership.

Output: control plan for work that touches revenue, customers, or production.
Atlas entry point

The map is the productized wedge.

Atlas turns the workflow into an inspectable artifact: human tasks, AI tasks, system operations, source data, constraints, touchpoints, owners, stop conditions, and receipts.

Workflow Trust Map

A buyer should see the boundary before the build.

This read-only Atlas canvas shows how a workflow becomes safe to discuss: source state, allowed action, approval owner, hard stop, and receipt surface.

1. Map Submitted asset packet before execution. Marketplace review owner owns the operating path. The canvas makes the workflow, handoffs, and next decision legible before an agent or system acts. 2. Validator and queue sync can run when the rule is clear. Validator and queue sync coordinates with Supplemental reviewer brief; the map keeps AI assistance bounded to the work it can safely support. 3. Reviewer approval decision stays with a person. Human decides approve, reject, request changes, or escalate policy ambiguity. 4. No ungrounded approval is the stop condition. Stop before approval, rejection, security claims, or timeline promises without evidence. 5. Reviewer dashboard receipt shows the receipt. Shows validation evidence, reviewer state, creator-facing notes, and policy flags. 6. Use the map as booking context for a workflow pilot. The map has enough owner, assistive work, system behavior, and decision context for a first run.

Source
Automation
Decision / Proof
actor wait

Marketplace review owner

Owns reviewer assignments, policy interpretation, and creator communication standards.

data unknown

Submitted asset packet

Submission metadata, validation output, policy flags, creator notes, and review status.

system run

Validator and queue sync

Run checks, collect evidence, assign reviewer, and update queue posture.

ai wait

Supplemental reviewer brief

Summarize issues, cite evidence, and draft questions for the reviewer.

human wait

Reviewer approval decision

Human decides approve, reject, request changes, or escalate policy ambiguity.

constraint stop

No ungrounded approval

Stop before approval, rejection, security claims, or timeline promises without evidence.

touchpoint unknown

Reviewer dashboard receipt

Shows validation evidence, reviewer state, creator-facing notes, and policy flags.

Receipts

The operating path should be visible.

Each delivery record separates the public story, private evidence, and clear rules for what delegated work is allowed to do.

01 Workflow map

Objects, owners, source systems, handoffs, and known failure points.

02 Control boundary

What can run, what needs approval, and what must stop with a reason.

03 Delivery page

A client-safe record of what changed, what stayed private, what is blocked, and who decides next.

04 Private evidence

Commands, pass/fail output, endpoints, deploy IDs, and rollback notes.

Run / wait / stop

Execution states are visible before an agent acts.

4 receipts

The map, boundary, delivery page, and private evidence stay separate.

No secret spill

Public proof surfaces avoid credentials, raw logs, and private client data.

Owner handoff

Blocked work names the decision owner and the reason it stopped.