Power Automate is the default automation layer of the Microsoft ecosystem, and for Microsoft-centric work it is very hard to beat on integration and price. OpenAdapt is a governed workflow compiler focused on consequential GUI transactions with independent verification.
Every claim below names its public source. Where a vendor publishes no figure, we say so instead of estimating one.
OpenAdapt
Compiled replay is deterministic with zero model calls on healthy runs; undemonstrated states halt, and repairs pass through governed re-resolution before a new version deploys.
Microsoft Power Automate
Desktop flows replay recorded UI steps deterministically; cloud flows are deterministic API orchestrations. Drift handling relies on standard error handling and retry configuration rather than evidence-based re-resolution.
OpenAdapt
The local runtime carries no license fee and healthy runs make zero model calls; published trials recorded $0 model cost per run.
Microsoft Power Automate
Published list pricing: Premium $15.00 user/month, Process $150.00 bot/month for unattended desktop flows, Hosted Process $215.00 bot/month including a Microsoft-hosted Azure VM (paid yearly). A bot executes one unattended run at a time.
Source: Power Automate pricing page · Frappe Lending benchmark: $0 model cost
OpenAdapt
Every consequential run ends VERIFIED or HALTED based on an out-of-band check of the system of record - REST readback, SQL, table-delta audit, or file arrival - never the acting session's own report.
Microsoft Power Automate
Cloud flows surface run history and error details in the Power Platform admin center; Dataverse stores the data flows act on. Verification of a desktop flow's business effect is typically expressed as configured assertions or downstream checks the builder authors.
OpenAdapt
Ambiguity halts before acting; a refuted effect halts after acting without blind retry, classifying delivery as uncertain for operator reconciliation.
Microsoft Power Automate
Desktop flows support configurable error handling, retries, and timeouts defined by the flow author; unattended runs proceed under the machine/bot license without a human unless the flow requests one.
Source: Power Automate pricing: attended vs unattended desktop flows
OpenAdapt
Execution is local-first and customer-controlled: recordings, bundles, and evidence can remain inside your boundary on an inspectable MIT runtime.
Microsoft Power Automate
Runs ride Microsoft-hosted infrastructure; the Hosted Process tier explicitly places the automation VM on Azure-managed infrastructure, and capacities pool at the tenant level in Dataverse.
OpenAdapt
Browser in production today, native desktop via accessibility plus visual evidence, and an external zero-install lane into managed RDP/Citrix estates qualified per customer before consequential use.
Microsoft Power Automate
Deep Microsoft 365 coverage plus hundreds of prebuilt connectors for API-first work; desktop RPA covers Windows applications, with remote scenarios handled through the hosted VM tier.
Source: OpenAdapt qualification evidence per surface · Power Automate pricing: connectors and hosted VM rows
These are the differences that hold up under scrutiny. Recording demonstrations, visual targeting, virtual desktop awareness, and selector repair are broadly available across modern tools and are not claimed here as unique.
A run is judged by an out-of-band check of the system of record, such as a read-only API call, a SQL query, or re-reading the persisted record, not by the acting session declaring itself successful.
Every consequential run ends verified or halted with a preserved run report. There is no silent third state where the workflow looked finished but the record never changed.
A compiled workflow replays deterministically with zero model calls on healthy runs. Model spend is reserved for compilation and reviewable repair.
For managed Citrix, RDP, and VDI estates, OpenAdapt can drive the local client window from outside the session, so nothing is installed inside the remote environment. The lane is qualified today against a deterministic stand-in and a real FreeRDP round trip; a real ICA/HDX environment is qualified per customer before consequential use.
Recordings, screenshots, and compiled bundles can stay inside your boundary. Local, self-hosted, and customer-controlled deployments are first-class, not an enterprise afterthought.
The compiler and governed runtime are MIT-licensed and inspectable. You can audit exactly what runs beside your systems of record.
Each execution surface ships with bounded, published acceptance evidence, counted effects, refusals, and halts, instead of an unbounded compatibility claim.
Per-surface acceptance results are published in the qualification evidence.
Use the connector. OpenAdapt exists for the UI-only remainder where no practical API exists and correctness has to be proved against the system of record rather than assumed.
Source: OpenAdapt comparison guide
OpenAdapt's published trials verify writes out of band - for example 3/3 OpenEMR patient-record runs confirmed by REST readback agreeing with direct SQL plus a non-target delta audit, with 0 model calls. Desktop-flow runs report their own execution status; independent system-of-record confirmation is not part of the published plan features.
Source: Reference qualification results
Choose Power Automate when the work lives inside the Microsoft ecosystem, when a supported connector already reaches the system you need, or when low per-seat cost across many light automations matters more than transaction-level verification.
Choose OpenAdapt when the last mile is a non-Microsoft or legacy GUI, when a wrong write is expensive enough that you need the business effect independently verified out of band, when runs must end in an explicit verified-or-halted outcome, or when the runtime must be open, local, and customer-controlled.
If a supported connector or API completes the workflow reliably, use it. OpenAdapt exists for the UI-only remainder where no practical API exists and correctness has to be proved, not assumed.
Bring one repeated, consequential workflow and measure authoring time, run time, intervention rate, and incorrect-success rate against your current approach. Or watch the governed-execution demo first: every run shown ends verified or halted.