Live webinar: agentic AI cuts modernization debt

Forrester reports that 79% of CIOs are facing moderate, high or critical technical debt, and Accenture cites the top three sources as enterprise applications, architecture and AI itself. Every quarter of postponed modernisation widens the gap between what your operations need and what your current systems can deliver, while AI investments without governance often add to debt instead of paying it down.

CIOs, CTOs, chief enterprise architects, heads of application portfolios, and the platform / modernisation programme leads they sponsor. Heads of automation centres of excellence will also benefit, since the session reframes agentic AI as a consolidation lever rather than yet another point platform to integrate and govern.

Three ways. It collapses point solutions: a single Kognitos workflow can replace a chain of OCR, RPA bots, custom scripts and manual queue triage. It abstracts the integration layer: agents talk to systems through plain-English policy, so brittle screen-scraping and one-off scripts retire faster. And it makes future change cheap: policy changes are written in English, not in code, so the next reorg or compliance rule does not trigger another integration project.

Only if it is introduced without governance. The session lays out a framework to avoid that: prove agent-level audit and policy-as-English before pilot; verify integration with your existing identity, observability and change-management stack; and pick a platform that orchestrates your existing investments instead of demanding a rip-and-replace. Kognitos is designed around exactly this pattern.

Five criteria: deterministic policy enforcement (no decisions taken purely on model confidence), plain-English audit trail per decision, an exception model that requires no developer round-trip, the ability to orchestrate your existing RPA / OCR / ERP investments rather than replace them, and a transparent learning loop where SME resolutions become policy. Any platform that fails any of these will eventually become new debt.

A single Kognitos workflow can subsume the work currently done by OCR, IDP, RPA bots, custom scripts, multi-step manual queues and the integration glue between them. The platform calls those tools when they are still the best choice and absorbs the work when they are not. Over time, the number of independent automation platforms you operate goes down, not up, which is the only durable way to reduce debt.

Every Kognitos decision is captured in plain English with the policy that produced it and the input it acted on. There is no scenario in which 'the AI decided' replaces a real audit narrative. CIOs get the explainability that AI governance boards now require, and platform teams get a fully replayable execution log that integrates with their existing observability and SIEM tooling.

Yes. The session is hosted on demand on this page, and the recording link is sent to every registrant. The slide deck and the agentic automation evaluation framework are available on request from the Kognitos team.

Identify the two or three processes in your portfolio that currently consume the most point-solution licences (multiple OCR vendors, multiple RPA bots, manual queues stitched together by scripts). Bring them to a Kognitos working session: the team will show you how a single agentic workflow can replace the stack, with a quantified TCO comparison you can take to your steering committee.