Live webinar: hyperautomation AI agents walkthrough

HAL is Kognitos's end-to-end lifecycle platform for agentic process automation: design the workflow in plain English, test in a sandbox, debug with full execution traces, deploy to production with explicit human approval, and monitor agents at scale with a performance dashboard that tracks runs, exceptions and ROI. The same platform handles document extraction (AI, IDP or simple OCR per use case), validations, approvals and integrations with your system of record.

Automation programme owners, RPA centres of excellence ready to expand into agentic AI, platform and solution architects, IT operations leaders responsible for hyperautomation governance, and business stakeholders evaluating Kognitos as the lifecycle platform for their organisation's AI-driven workflows.

No. An audience question prompts a direct answer: Kognitos is technology-agnostic at the extraction and reasoning layer. You can use general AI models, IDP tools or plain OCR per use case; the platform orchestrates the right method for each step. There is no model-training project to fund up front, and you are not locked into a single foundation model long-term.

Yes. Another audience question. The Kognitos approach is to discover the as-is workflow during scoping, expose redundant or unnecessary steps, and design the future-state automation against the simplified flow. The platform's plain-English execution log also surfaces where exceptions cluster, which is a leading indicator of upstream process bloat worth fixing rather than automating around.

A typical flow: a document arrives by email, Slack, API or scheduler; the agent extracts the relevant data (AI, IDP or OCR per file type); validations and business rules run; required approvals are issued in plain English; data is posted to the system of record; and the result is logged with a full audit trail. The same pattern handles invoices, claims, prescriptions, tax forms, reconciliations and more.

Peter shares the operating pattern: where a customer has 10,000 daily transactions, Kognitos can typically handle 5,000-7,000 fully autonomously out of the gate and route the remainder to SMEs as exceptions. As SMEs resolve those exceptions in English, the platform learns the patterns and the autonomous share grows. The dashboard shows you the trend per agent over time.

Maintenance is minimised because edge cases do not crash the agent. When the agent is unsure or hits something new, it pauses and asks a human in plain English instead of failing silently. The exception becomes a learning event that updates the policy, so the same edge case is handled autonomously the next time. There is no continuous bot-fixing cycle of the kind RPA estates suffer from.

Legacy RPA and hyperautomation tools chain rules-based bots together but struggle with unstructured inputs and exceptions. Kognitos is a superset by an order of magnitude: it does what RPA does plus everything RPA cannot reliably do, with AI-skills modules continuously added as the research labs ship new capabilities. The platform packages those modules as trusted, consumable building blocks rather than raw model access.

Three options: request a personalised demo at sales@kognitos.com to see HAL on your own process; try the free trial through kognitos.com; or join the Kognitos community edition with pre-built agents you can adapt. The on-demand recording is hosted on this page and registrants receive a link to the slides and supporting content within 24 hours of the live session.