AI agent vs RPA
An agent reads the page on every run, so a portal redesign costs you nothing and there is no bot to commission. RPA replays a recorded path and breaks when the page moves.
An AI agent reads the interface on each run and decides what to do, which handles variation, judgment calls and layout changes. Nothing was recorded, so nothing breaks when the page moves.
Robotic process automation follows a recorded path: click here, type this, read that field, repeat. Given identical conditions it produces identical results forever, at very low cost per run, with an audit trail. Most organizations end up with both, split by how stable the target system is.
| Dimension | RPA | AI agent |
|---|---|---|
| Behavior | Identical every run | Decided each run from what it reads |
| Handles UI change | No. Breaks and needs fixing | Usually, by re-reading the page |
| Cost per run | Near zero | Inference per step |
| Maintenance | A ticket queue for every change | Little, and less predictable output |
| Governance | Orchestration, audit, role separation | Approval gates, individual scope |
| Best at | High volume, stable systems | Variable pages, judgment, small-team work |
What does each one do well?
Agents win where the path varies. Redesigned pages, documents in inconsistent formats, decisions that need reading comprehension ("is this invoice a duplicate or a legitimate second shipment?"), and processes nobody can specify precisely enough to record. An agent reading the screen each run absorbs the variation that would send a recorded bot into an exception queue.
RPA holds the stable, high-volume ground: ten thousand identical invoice postings into an ERP nobody has redesigned since 2014, cheap per transaction, exactly repeatable, and wrapped in the orchestration and audit features an enterprise procurement process asks about.
What does the maintenance really cost?
RPA’s per-run cost is near zero and its maintenance cost is a queue of tickets: every UI change, every new field, every edge case becomes work for whoever owns the bot. Organizations with large estates commonly spend more on keeping bots alive than on building new ones.
An agent inverts the shape. Nothing to update when the page changes, and every run costs inference. So the honest calculation is per-run cost times volume, plus maintenance times change rate.
Where an agentic browser fits
The web work that never justified an RPA project: the processes an individual or a small team does by hand because commissioning a bot would take a quarter. Strawberry runs on your own machine, with no orchestrator to stand up and nothing to provision.
That covers a lot of ground: CRM data entry, form filling across sites, bulk record updates in web apps. Consequential steps stop on an approval card naming exactly what is about to happen, and Ask Always mode puts every step behind one.
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Frequently asked questions
Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents