Next chapter for process automation with generative AI

CIOs and CDOs setting the AI agenda, automation programme leads and RPA centres of excellence, enterprise architects evaluating where agentic AI fits in the stack, and business unit leaders whose document- and exception-heavy operations are the most natural first targets for automation.

Binny frames it: for 70 years we've been training humans to learn the language of machines; today there are roughly 26 million developers in the world growing at ~10% per year, against a billion-plus business users who think and write in natural language. Agentic AI flips the model: machines now learn the language of humans. That is the steering wheel moment for process automation, and the next decade of enterprise software will be built on it.

The session shares CIO data: 61% of enterprises are starting to use or investigate AI, and 73% report a lack of clarity and success on their AI initiatives. The root cause is that the technology is moving faster than organisations' ability to govern, integrate and scale it. Kognitos addresses that gap directly with a governed platform that produces auditable outcomes from day one.

No. An audience question prompts the direct answer: Kognitos is technology-agnostic for extraction and reasoning. The platform uses the right method per use case (AI model, IDP, OCR), and if a method cannot read a particular document, the agent either tries another method or escalates to a human. There is no upfront model-training cost or timeline.

The session highlights prescriptions, tax forms, reconciliations and invoice processing as recurring high-ROI examples. The pattern is the same: high volume, unstructured inputs, human SMEs as the bottleneck. Kognitos becomes the first line on each document; what it cannot resolve goes back to the SME in plain English, and the workload to humans shrinks quarter over quarter.

Customers typically run a 2-4 week pilot on a single workflow with their own sample documents. The output is a baseline straight-through-processing rate plus a measured improvement once the agent is configured. For a 10,000-document-a-day process, achieving 5,000-7,000 autonomous resolutions on day one is a common starting point, growing as exception patterns are absorbed.

Exceptions are first-class citizens. When the agent cannot confidently complete a step, it pauses that record and either tries an alternative method or escalates to the SME with the full context. The SME answers in plain English; the platform captures the resolution as policy and applies it autonomously next time. No bot crashes, no opaque AI guesses.

Traditional RPA still owns rule-based, structured-input automation; Kognitos owns the unstructured, judgement-heavy and exception-prone work that sits around RPA. Most customers do not rip out their existing RPA; they layer Kognitos on top, orchestrate the bots they have, and absorb the manual touches between them. The combined estate shrinks total cost-to-serve faster than either tool alone.

The recording is sent to every registrant and hosted on demand on this page. To go further, book a personalised demo through kognitos.com, or email mark@kognitos.com or kirk@kognitos.com directly. The team will work with you to identify the right first workflow, scope a pilot, and quantify the ROI before any commitment.