Describe the outcome. Skip the flowchart.
Describe the work and the rules. Adomo plans the steps, coordinates your tools, and pauses for human approval where needed. If a run fails, it resumes where it stopped.Adomo coordinates steps across tools and models, with permissions checked at each step and one audit trail for the run. It pauses for approval where your policy requires a person.
See how a new hire gets set up.
When a new hire is confirmed in the HR system, set up their accounts, grant the right access, book their first-week sessions, and tell their manager once it is done.
Adomo plans the onboarding steps from your policy, asks the manager to approve access, then creates the accounts and records. If a step fails, the run resumes where it stopped.
Read the policy, plan the run
Reads your onboarding SOP and the role definition, then turns them into an ordered, checkable plan.
- Output
- Ordered onboarding plan
- Source
- onboarding-sop.md
Manager confirms access
The manager reviews the proposed accounts and groups. Nothing is provisioned until they approve.
- Gate
- Human approval
- Timeout
- Escalate to their lead
Create the accounts
Creates the workspace identity and adds only the groups specified for the role.
- Retry
- Up to 3 · 5s backoff
- Scope
- Role groups only
Open the records
Creates the employee record and links it to the systems that will need it later in the process.
- On error
- Pause, do not skip
Book and announce
Books the week-one sessions and tells the team once access is in place.
- Channels
- Calendar · Slack
Each exception adds another branch.
A flowchart starts with the happy path. Then the exceptions arrive, like the contractor with no manager, the transfer who already has an account, or the role that needs extra access this once. Each adds another branch for your operations team to maintain.
With agentic automation, you state the outcome and the rules. Adomo works out the sequence for each run, including cases nobody drew a branch for. When it cannot resolve a case within those rules, it stops and asks a person.
Agentic AI workflows are the plans the model produces, with the steps and tools each task needs. AI agent orchestration is the engine that executes those steps across systems, holds state between them, and pauses at your approval gates.
Your operations lead maintains the policy and process description in plain English. They can change both without opening a builder or filing an engineering ticket.
A multi-day process has to survive a bad day.
Adomo’s execution engine saves progress between steps. After a crash, network failure or restart, it resumes from the step where the run stopped.
- Pull actuals
- Compute variance
- Draft memo Pod crash Resumed · no state lost
- CFO approval
- Send
Choose the steps that need your sign-off.
A single run can change records in several systems. Review the plan and mark the actions that need approval before any of them run.
The plan is visible before it runs
You see the sequence Adomo intends to execute, in order, with the systems each step will touch.
Consequential steps wait
Mark the actions that need approval, such as granting access, moving money or writing to a system of record. The run pauses at those steps until an authorized person approves.
One run, one audit trail
A process that crossed five systems produces a single ordered record of what happened in each, including the steps that were blocked and why.
Unresolved exceptions wait for you
When a run hits a case the policy does not cover, it stops and asks for a decision.
One run, as many systems as it takes.
A single Adomo run can read and write records across these systems, and ask people for approval in the channels they use.
Connect internal and custom systems over MCP to include them in the same run.
Recurring, multi-system, and nobody enjoys them.
Start with work that repeats every week and takes someone across several tools. These examples cover onboarding, revenue reporting, procurement and offboarding.
“When a new hire is confirmed, create the accounts, grant the role's groups, and book the week-one sessions.”
Onboarding · A. Okafor
6 steps, 1 approval
“Every Friday, roll up closed-won deals, raise the invoices, and post the weekly number to the leadership channel.”
Week 37 rollup
11 deals, 11 invoices
“When a requisition clears budget, raise the PO, notify the vendor, and chase the acknowledgement until it arrives.”
PO-5140 · 24 units
Vendor chased twice
“When someone leaves, revoke every account, reassign their open tickets, and hand the manager a record of what moved.”
Offboarding · R. Silva
9 accounts revoked
Who works out the steps?
| Capability | Adomo | Workflow builders | Agent frameworks | Build in-house |
|---|---|---|---|---|
| Plans the steps from your description | ||||
| Orchestrates across multiple systems | Partly | |||
| Handles a case nobody drew a branch for | Sometimes | |||
| Resumes mid-process after a crash | Quarters to build | |||
| Approval gates on consequential steps | A manual step | |||
| Immutable audit trail across the whole run | Partial | |||
| Maintained by editing the written policy | ||||
| Time to a first running process | 3 to 5 days | Weeks | Months | Quarters |
Questions about running it.
Do I have to draw a flowchart or a DAG anywhere?
What happens if a step fails halfway through a multi-day run?
How is this different from an agent framework?
Is this AI agent orchestration, or one agent doing everything?
Can one run touch several systems?
Can it run on a schedule, or only when I ask?
How do I see what it did?
Hand over one recurring process.
Start with something that runs every week and touches three tools. Describe it in a sentence and see what Adomo plans.