# Video: high-ROI automation without brittle prompt loops

> Kognitos + QBotica webinar: high-ROI use cases for hallucination-free AI automation, plus an automation-as-a-service model that pays for outcomes, not PowerPoints.

**Page**: https://www.kognitos.com/videos/beyond-bots-prompts-high-roi-use-cases-for-hallucination-free-ai-automation-with-kognitos-and-qbotica/
**Watch on YouTube**: https://www.youtube.com/watch?v=n9-lV7Y6Hww
**Length**: 49m 08s

## About this webinar

A joint Kognitos and QBotica webinar focused on the high-ROI use cases that finally become viable when AI automation is genuinely hallucination-free — and the delivery model that pays for outcomes, not for PowerPoints.

## Speakers

- **Binny Gill** — founder and CEO of Kognitos. 30 years writing code; started Kognitos with the conviction that English-as-code (not yet another programming language) is the right path for enterprise automation.
- **Mahesh Anantapanagamanam** — CEO and founder of QBotica. Pioneered automation-as-a-service / RPaaS in 2017-18, before forward-deployed engineering became a mainstream consulting model.
- **Dominic Barola** — QBotica, host.

## The core argument: legacy automation has stalled

- RPA delivered initial value, then plateaued under maintenance cost, broken bots, and developer dependency.
- Most generative AI tools push the maintenance problem in a different direction — opacity, hallucinations, and audit gaps make them risky for back office and finance.
- The next phase needs LLM-powered understanding wrapped in a deterministic interpreter — so the AI can be creative inside well-defined boundaries while the runtime stays auditable.

## How Kognitos and QBotica fit together

- **Kognitos**: English-as-code platform with conversational exception handling. Business users describe processes in English; the platform executes them deterministically and surfaces exceptions in English for the user to resolve.
- **QBotica**: automation-as-a-service delivery model where clients pay for outcomes as they're delivered — not license bulk-buys or T&M hours up front. Mahesh notes this aligns with OpenAI's recent move to forward-deployed engineers inside client teams.
- **Joint promise**: clients buy results (hours saved, errors avoided, cycle time reduced) rather than tools-plus-hope.

## Where AI changes the ROI math

Both speakers come back to the same point: the highest-ROI use cases were always the ones legacy RPA couldn't touch — document-heavy, exception-prone, dynamic processes. Those are exactly where hallucination-free AI automation now becomes economical, because handling the long tail no longer requires a developer for every edge case.

## FAQs

**Q: Who are the speakers and what does each company do?**

Binny Gill (founder/CEO, Kognitos — English-as-code automation platform) and Mahesh Anantapanagamanam (CEO, QBotica — automation-as-a-service delivery firm that pioneered RPaaS in 2017-18). Dominic Barola from QBotica hosts.


**Q: What does “hallucination-free AI automation” mean in this context?**

It refers to Kognitos's architecture, which uses LLMs for understanding and creativity but executes the resulting program on a deterministic English-as-code runtime. The runtime doesn't guess — it does exactly what the human-readable program says — so back-office decisions remain auditable and predictable.


**Q: What's the QBotica delivery model?**

Automation-as-a-service / RPaaS — clients pay for outcomes as they're delivered, not for license bulk-buys or T&M hours up front. Mahesh notes this aligns with OpenAI's move to forward-deployed engineers embedded inside client teams. The customer pays for results once they materialise, not on hope.


**Q: Which use cases does the webinar say AI now makes economical for the first time?**

Document-heavy, exception-prone, dynamic processes — the long-tail finance, customer-service, and back-office workflows that legacy RPA couldn't touch because every edge case required a developer. With hallucination-free AI automation, the long tail stops being a developer problem.