Webinar
On-demand agentic AI modernization for tech debt
This webinar on April 29 unpacks the challenges and hidden costs of technical debt, and how agentic AI can provide an avenue to reducing point solutions and consolidating tech debt.
This webinar on April 29 unpacks the challenges and hidden costs of technical debt, and how agentic AI can provide an avenue to reducing point solutions and consolidating tech debt.
By consolidating point-solution sprawl onto a single English-language runtime that already handles documents, exceptions, and orchestration. Brittle RPA bots, custom scripts, and middleware tickets get replaced with one rule expressed in English — sustainable as your systems change.
Old RPA bots, hand-rolled ETL, legacy middleware, never-finished low-code apps, ungoverned shadow scripts, and the spreadsheet-and-email workarounds that grew around them. Most teams underestimate the maintenance carry by 2–3×.
Start where breakage is most frequent and business impact is highest (often finance, claims, IT operations). Stand up Kognitos beside the legacy stack, route exceptions to it first, then progressively migrate steady-state work as confidence grows.
Not if the runtime is deterministic, the policy is in plain English, and the platform produces evidence by default. Kognitos automations are intentionally low-debt — version-controlled English rules, easy to read by both engineers and business owners.
Typical: 30–60% reduction in maintenance tickets for retired bots, lower license consolidation, faster delivery of new processes, and a measurable shift of engineering capacity from upkeep to net-new product or platform work.