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Use case

Computer-Use / No-API Automation

Every operation has one: the legacy ERP, the government portal, the vendor system with no API — so a person re-types data into it all day because 'it can't be integrated.' Until now, that was true.

What can be automated in computer-use / no-api automation? With current AI and integration tooling: driving the interface directly: navigating screens, entering validated data, extracting results; bridging no-api systems into your modern workflow platform as ordinary steps; batch work against portals (submissions, lookups, downloads) on schedule; screenshot-and-log evidence of every action taken. What should remain under human control: approval of anything the agent submits externally (configurable per portal); handling of unexpected screens — the agent stops and asks rather than guessing; the decision to keep or retire the legacy system (we'll give you the honest math on both). Olyra implements this with confidence scoring, audit logging, and human-review gates matched to risk.

The manual reality

What this work looks like today

Who does it

The unlucky team members assigned to the old system; IT, who has explained 'it has no API' a hundred times.

Typical systems

Legacy ERPs and AS/400-era systems, insurer and government portals, vendor platforms without integration options, Citrix/remote-desktop apps.

The cost

Measured before we touch anything: Re-keying hours removed · Error rate vs manual entry · Cycle time on portal-bound processes

What changes

What gets automated — and what stays human

Automated (with logging):

  • Driving the interface directly: navigating screens, entering validated data, extracting results
  • Bridging no-API systems into your modern workflow platform as ordinary steps
  • Batch work against portals (submissions, lookups, downloads) on schedule
  • Screenshot-and-log evidence of every action taken

Stays under human control:

  • Approval of anything the agent submits externally (configurable per portal)
  • Handling of unexpected screens — the agent stops and asks rather than guessing
  • The decision to keep or retire the legacy system (we'll give you the honest math on both)
Measurement & governance

How value and risk are managed

Measure

What we baseline and track

Re-keying hours removed · Error rate vs manual entry · Cycle time on portal-bound processes · Coverage of previously unautomatable systems

Governance

Risks designed for

Slower and more brittle than API integration by nature — so we use it only where no API exists, wrap it in validation and stop-and-ask rules, and monitor every run. When a real API appears, we switch to it.

Typical implementation path: One system, one workflow, two-week pilot with full action logs; API integration always preferred where it exists. Implementation follows the Olyra 120: pilot on real historical volume, parallel run, then measured cutover.

Find out what AI can actually do for your operations.

Start with an AI Operations Audit — a fixed-scope diagnostic that maps your workflows, scores your AI readiness, and hands you a prioritized 120-day roadmap. If we don't find real opportunities, you'll know that too.

Request an AI Operations Audit → Prefer to talk first? Book a 30-minute scoping call.