One case. Six stages. Every kind of worker.
Every step of a case runs on RPA, an agent, an API or a person. The case carries its policy, cost and evidence throughout.
Whole processes, run as one
A process is one rail. Cases enter at the trigger, and Optomo makes every hand-off. It schedules work from queue depth and SLA and balances workers. The moment one worker is done, the case moves to the next.
- 86% less team time spent running bots by hand
- 96% fewer failed runs to chase
Queue-aware scheduling
Runs go to a worker with capacity, by queue depth, SLA and service window, so nothing waits behind an idle license.
Retry and reroute
A failed run is retried, rescheduled or rerouted within your rules, before anyone opens a ticket. An unhealthy worker leaves rotation until it recovers.
Cases, not runs
Every step, hand-off and outcome sits on one case record, whichever platform, agent or person did the work.
Queues and assignment
Cases arrive from an API call, an email or a file, and go to a team, a person or the matching workflow.
Set a policy once, enforced everywhere
Approval thresholds, spend caps, screen recording, data residency and roles are defined once and inherited by every workflow and every agent action. The audit trail is append-only and exportable per case.
SLAs and service windows
Every step inherits the SLA and hours you set once, and a case at risk escalates before the deadline.
Roles and access
Roles per workspace and workflow, SSO via SAML or OIDC including Entra ID, and four-eyes approval where needed.
Audit trail per case
Every action, decision and hand-off goes to an append-only trail you can search and export per case, with screen recordings where you enable them.
Agents with budgets and thresholds
Any model provider. Each agent gets its tools, a spend cap and an approval threshold; personal data is redacted before a model call. Outside the rules, a person decides, on record.
Tools and spend caps
Each agent has an allow-list of tools and a spend cap per run, and hands the case on at the cap.
Data redaction
Personal data is redacted before any model call, whichever provider you use.
Human escalation
Outside its threshold, an agent routes the case to a person with its draft and the reason, on record.
Decision traces
Each agent step records its tools, output, reasoning and confidence, kept in your estate by default, so you see why, not only what.
Every run, SLA and failure in one place
The Cockpit shows every automation with its last status and SLA, the run history per process, and what Optomo did about the failures. Recovery happens before anyone opens a ticket.
One Cockpit
Runs, queues and SLAs across RPA, AI agents, APIs and people in one view, down to the workflows that fail most.
Automatic recovery
Failed runs are retried and rescheduled automatically, and the case records what failed and what Optomo did. With recording on, replay the failed step as the worker saw it.
Alerts for decisions
A person is alerted only for decisions that are theirs, and what Optomo recovers itself is logged, not escalated.
Cost and return, per process
Licenses, VDI time and agent spend are tracked against cases completed and hours returned. Idle licenses are flagged, cost per case trends over time, and payback is calculated on your own data.
- 45% fewer licenses to pay for
- 20 to 30% more volume on the licenses you have
License utilization
Idle licenses and workers are flagged over time, so you can reassign or retire them.
Cost per case
Licenses, VDI time and agent tokens add up to a cost per case, per workflow and per agent, over time.
Value by process
Hours returned and money saved per process, against the manual baseline and on your own data.
Forecasting and reporting
Project license, worker and token needs from current growth, and export the data to BI or finance via API.
One canvas, every kind of step
Trigger, AI step, approval branch, RPA step: build the process on one canvas, configure each step in place, test-run it, publish a version. Governance is inherited, not rebuilt.
Built-in triggers
Start a case from an email, a schedule, a file, a queue or an API call, with its data.
Conditional branching
Route a case on its data, a deadline or the last step's outcome, set on the canvas without code.
Human steps
Put a person in the flow with a form, an SLA and an escalation path, routed by role or team.
Versions and test runs
Each change is a new version you can test-run before it goes to production.
Connects what you already run
Connected in week one, orchestrating in week two. Nothing is migrated.
RPA
Existing processes appear as stages. RPA workers are scheduled, monitored and recovered by Optomo.
AI agents
Any model provider, each agent with tools, a spend cap and an approval threshold.
APIs and systems
ERP, HR, CRM, ticketing and email as triggers and steps.
People
Approvals and decisions with an SLA, a form and an escalation path.
- Fully on-premise, or our cloud in the EU or your region, with workers on your servers
- Model providers under your own keys and contract
- Credentials held in your vault, never in Optomo
- ISO 27001 certified, company and cloud service
Estimate today. Prove it in five weeks.
The first step takes two minutes and changes nothing: your spend and platforms give you a savings estimate. Then a guided trial on one real process.
- 1
Savings estimate
Two minutes, freeBased on your spend and platforms.
- 2
Guided trial on one process
Weeks 1 to 5One real process, run on your estate.
- 3
Readout and decision
Week 5The trial's numbers next to the estimate.