Question 1

What does the Revolutionizing Automation in the Age of Agentic AI webinar cover?

Accepted Answer

Joe O'Neal hosts Binny Gill (Founder & CEO, Kognitos) and team for a session on Kognitos HAL, the Hyperautomation Lifecycle platform. The agenda walks through how agentic AI is reshaping the $3B RPA market, what HAL adds to it, a live demo that authors and triggers an agent (via email, API, schedule and manual run), and an extended Q&A on learning-through-exception-handling and integration patterns like 3-way match.

Question 2

Who should attend the Revolutionizing Automation webinar?

Accepted Answer

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.

Question 3

What is the market opportunity for agentic AI versus traditional RPA?

Accepted Answer

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.

Question 4

How does the Kognitos HAL platform trigger automations?

Accepted Answer

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.

Question 5

What is the 'knowledge graph' that runs at the start of each Kognitos automation?

Accepted Answer

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.

Question 6

How does Kognitos handle learning through exception handling?

Accepted Answer

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.

Question 7

How does Kognitos support 3-way match for finance customers?

Accepted Answer

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.

Question 8

Can I really run a complex agent against my system of record without writing code?

Accepted Answer

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.

Question 9

What is the 'intern' analogy and why does it matter for agentic AI?

Accepted Answer

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.

Question 10

How do I try Kognitos HAL myself?

Accepted Answer

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.

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