Next-generation RPA: AI agents where robots break

I build RPA robots for a living, with UiPath and IBM RPA, on bank projects. They are precise and tireless, and they are blind: they see the screen, not the meaning. AIK is what I built for the part of the work robots cannot do.

Where classic RPA struggles

• The input varies. A robot reads an invoice only if it looks exactly as expected. A new supplier layout or a phone photo stops it.
• The screen changes. One renamed button or moved field and the robot needs maintenance.
• A judgement is needed. "Is this e-mail a complaint or an order?" is not a rule you can draw in a flowchart.
• The cost of starting. Licences, an orchestration server and a team to watch it, before the first process runs.

What AIK does instead

• Reads like a person. Scans, photos, PDFs and free-text mail become data, checked by plain code (sums, VAT, company IDs) before anything is saved.
• Works from a goal. Agents get a task in plain words and the tools for it (files, mail, databases, browser, SAP, the desktop) and work out the steps.
• Waits for a person where it matters. Sending, paying and deleting need an OK; every action is in a tamper-evident log.
• Earns trust on a trial. An agent runs next to your own results until it has been right enough times in a row, and only then goes live.

Where UiPath, Blue Prism, Automation Anywhere and IBM RPA stay the right tool

High-volume, rule-exact work on stable legacy screens, with years of governance already built around it. Do not throw that away. The strongest setup uses both: the AI agent reads the unstructured thing and decides, the robot does the deterministic clicking. AIK can hand results to your existing robots through files, a database or an API call.

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