Agentic AI for Finance: Order-to-Cash, Procure-to-Pay. Zero Hallucinations.

CFOs, controllers, AP / AR / R2R leaders, FP&A heads, finance shared-services and GBS leaders, and the automation / COE teams that support them. CIOs and CISOs evaluating where agentic AI sits in the enterprise architecture will also get value from the security and governance segments.

A live audience Q&A frames it well: 'what can we not automate?' The session's recommendation is to start with the highest-cost, highest-volume judgment-heavy work. That usually means non-PO invoice coding and 3-way / 4-way match in P2P; cash application and deduction triage in O2C; and reconciliations plus routine journal entries in R2R. These pay back fastest and build the audit pattern you'll reuse.

Many of the agents shown in the demo are 100% deterministic where the work is pure math; the LLM only interprets unstructured inputs. Accuracy is measured directly against your own historical decisions: the platform produces a side-by-side comparison of agent decisions versus the prior baseline, so you can quantify straight-through-processing lift before you put a workflow into production.

Yes. The demo shows an agent producing an SAP-ready entry with 100% accuracy and attaching the appropriate supporting documents to the right SAP object. The platform supports SAP, Oracle, NetSuite, Workday and other systems via native connectors and APIs, with the same deterministic policy layer regardless of the target system.

The webinar shows exactly this example: a quality-related threshold encoded as a plain-English rule. If the value is 1.2% the agent passes the item; if it exceeds 2%, the agent escalates the deviation with full context. Policy is authored in English alongside the workflow and enforced deterministically, which is how Kognitos avoids both hallucinations and brittle rule-engine logic.

Copilots help an individual draft an email or summarize a document. Agentic AI on Kognitos owns multi-step processes end-to-end across systems, with deterministic policy, human-in-the-loop exception handling and an audit log. The webinar's repeated point: a copilot makes a person 10% faster; an agent removes the work entirely while keeping a human on the exceptions.

George addresses this directly in the session: in conversations with logistics, procurement, IT and finance teams, the response is almost universally that no one wants the manual document-chasing work back. Agentic AI removes the lowest-value, error-prone busywork; people refocus on exceptions, vendor and customer relationships, controls design and analysis.

First production workflows on Kognitos typically ship in 30-45 days for a well-scoped process; broader F&A transformations roll out incrementally over one to three quarters. The webinar emphasises a pilot-first approach: pick one painful workflow, measure baseline, deploy, prove ROI, then expand.

Every registrant receives a recording link by email, typically within 24 hours, and the session is also hosted on demand on this page. To go beyond the recording, request a personalised demo, where the Kognitos team will scope a 2-4 week pilot against one of your finance workflows and produce an ROI baseline.