Question 1

What is an AI engineering company?

Accepted Answer

An AI engineering company designs, builds and operates AI systems in production, rather than running experiments or demos. iLeaf Solutions has done this since 2011: we build the agents, the data pipelines and the governance layer, then keep them running under monitoring for cost, latency and safety.

Question 2

How do you add AI to an existing enterprise application?

Accepted Answer

We layer intelligence over the software you already run instead of rebuilding it. Adaptive AI wraps your existing APIs as an MCP skill layer, then adds agents that reason and act across them. Your core code stays untouched, and each phase ships value on its own.

Question 3

What is agentic AI, and how is it different from a chatbot?

Accepted Answer

A chatbot answers questions. An agentic AI system plans a multi-step task, calls real tools, and completes work on its own. iLeaf builds sequential and swarm agents that reason across your systems — for example flagging churn risk and then drafting the retention offers.

Question 4

What is AgentOps?

Accepted Answer

AgentOps is the operational layer that keeps AI agents accountable in production. iLeaf's Governor Engine enforces policy, cost and safety limits at runtime, escalates to a human instead of guessing, and records why each action was taken — so every decision is explainable and auditable.

Question 5

Is our data used to train public models?

Accepted Answer

No. Every iLeaf deployment is private by default and your data is never used to train public models. We have delivered clinical AI running entirely on a hospital's own on-premise GPUs, with zero patient data transmitted to any cloud service.

Question 6

How experienced is iLeaf Solutions?

Accepted Answer

iLeaf Solutions was founded in 2011 and has delivered 500+ projects with 80+ engineers across the US, UK, EU, Middle East and Oceania. Over 200 products we built remain in production, still maintained by us, from headquarters in Kochi, India with US and UK presence.

What we have learned building AI that has to keep working.

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