Revolutionize legacy automation in the agentic era

RPA centres of excellence and automation programme owners, enterprise architects, CIOs and CDOs deciding where to direct the next wave of automation spend, and business and operations leaders sponsoring document-heavy or exception-heavy automation initiatives. Anyone evaluating whether to migrate, augment or replace an existing RPA estate with agentic AI will get value.

Binny presents the numbers: the RPA market is roughly $3B in revenue growing at ~20% year over year, but the addressable automation opportunity is closer to $1 trillion per year. The gap exists because RPA's Achilles' heel is exception handling on unstructured data, which is exactly what agentic AI on a governed runtime fixes. That is why the $3B market is being repriced.

Every saved automation on Kognitos automatically gets an email endpoint. You can trigger an automation by sending it a document via email, by an API call, by a schedule, or by clicking run in the platform. The demo shows updating an SFDC opportunity with a PO arriving by email, end-to-end with no infrastructure to configure.

Before each run, Kognitos prepares a knowledge graph that combines your policy, the relevant context (customer, vendor, product) and the document under processing. The graph is what lets the agent reason about a specific record (this invoice, this claim) rather than answering generically. It also makes every decision replayable for audit because the exact context is preserved.

When a run encounters a mismatch (a reconciliation number doesn't reconcile, a field doesn't match), the agent pauses that record and asks a plain-English question to the SME. The SME's answer becomes part of the policy automatically; the next time the same exception occurs, the agent handles it autonomously. The autonomous share of any workflow grows quarter over quarter as a function of how the team operates the platform.

An audience question prompts a direct answer: Kognitos has already implemented 3-way match for multiple customers. The pattern is the same as 4-way match: the agent reads invoices and supporting documents, queries the ERP for PO and GR data, performs the match against policy, posts the result and routes exceptions to the SME in plain English. Production rollouts are typically scoped in weeks, not quarters.

Yes. The demo shows authoring a draft process in English, saving it once it works, then triggering it via email, API or schedule. The platform owns the underlying execution; you focus on the policy and the exceptions. Where you do want custom code, you can integrate it; for most enterprise processes, plain-English authoring is sufficient.

Binny's repeated framing: an agent is like an intern on day one. It already covers 80% of your job correctly; you spend a little time on the edge cases. The right operating model is to start from the happy path, get 80% of the benefit, then progressively absorb more cases. It is the opposite of RPA's all-or-nothing automation curve.

Joe shares it in chat live: go to kognitos.com, hit the Free Trial button and sign up. You'll get access to the latest features (including beta capabilities), a sandbox to author agents and the documentation and community edition. To take a specific use case further, request a personalised demo and the team will scope a pilot or POC.