Build AI systems that hold up in real operations.
Ratna brings product and engineering together to map the work, connect the data and systems, and put controlled AI into production.
AI is easy to demonstrate, but robust production operations are harder.
- A promising prototype cannot yet rely on the organisation’s real data, systems, or permissions.
- A useful operation still depends on manual handoffs between disconnected tools.
- Teams want to scale AI, but ownership, controls, and measures of success remain unclear.
How we could start working together
In a focused 2–4 week engagement, we examine an operational need, prototype, or existing system and define the product and engineering work needed to make it reliable in production.
- A shared view of the work, data, systems, decisions, and ownership involved.
- The product, technical, and operational gaps between today and production.
- A prioritised plan for what to connect, test, control, and build next.
Led by Hugues Maignol, a CTO with 15 years of experience in software architecture, engineering management, product delivery, and production systems. For example:
- Public programmes connecting data and delivery across institutions.
- Insurance claims systems combining automation with expert review.
- Real-time processing across millions of sales calls.
Contact us
A few lines are enough.