Trigger
What starts the work: a request, event, schedule, or system change.
You bring the workflow. We build the worker.
No blank builder and no configuration project handed back to your team. We map one responsibility, prove it on real work, then put it into operation.
Delivery sequence Done with you
01
Observe
Inputs, systems, decisions, exceptions
02
Connect
Knowledge, permissions, working tools
03
Prove
Historical cases, edge paths, controls
04
Launch
Owner, finish line, run history
One worker.
One workflow to start.
More responsibility over time.
01 · Start
One workflow
A clear finish line
02 · Prove
Measured work
Real cases + exceptions
03 · Expand
More responsibility
Adjacent workflows
From one workflow to a working AI worker.
Zayvro owns the implementation path. Your team brings the operational truth; we turn it into a worker that can be tested and trusted.
01
Map
We observe the real workflow, inputs, systems, decisions, and exceptions.
02
Connect
We attach the approved knowledge and software the responsibility depends on.
03
Prove
We test real historical cases, edge conditions, and approval boundaries.
04
Launch
The worker enters production with a clear owner and visible run history.
05
Improve
We measure the work, tighten weak paths, and add adjacent responsibilities.
The real work becomes the specification.
We do not start with a generic prompt. We start with the operating facts that determine whether the work is actually done.
Inputs
The records, files, messages, policies, and live fields the worker needs.
Decisions
The rules, judgment points, owners, and conditions that change the path.
Finish line
The exact artifact, update, communication, or record that counts as complete.
A demo is not the finish line.
The worker earns a production responsibility by showing the right behavior across normal work, exceptions, approvals, and review.
Test review release
01
The happy path
Can it complete an ordinary case from trigger to finish?
02
The awkward path
Does it recognize missing, conflicting, or unusual inputs?
03
The authority line
Does it stop exactly where a person should decide?
04
The record
Can a reviewer reconstruct what it used and what it did?
Control stays visible when the worker goes live.
Permissions, approval boundaries, and run events stay part of the operating experience, not buried in an implementation document.
- A named workflow owner
- A defined approval boundary
- A reviewable result and run history
Worker permissions
Read approved project filesAllowed
Prepare CRM record changesAllowed
Send an external messageApproval
Change account ownershipBlocked
Run history · #2841
Complete09:41:08ReadOpened vendor record and 3 approved files
09:41:42CheckApplied onboarding requirements v4.2
09:42:17ApprovalMaya approved the proposed follow-up
09:42:31DeliverPublished review packet and updated record
Show us the work that should work better.
Bring one repeated operational workflow. We’ll map the inputs, systems, decisions, risks, and finish line, and show you where an AI worker could take responsibility.
No builder to learn Clear first workflow Human controls included