Retail
SOLUTION
From a generative AI PoC to production.
The trial showed it can work. What is needed next is to carry what it taught into building the production system, so the team can keep using it.
THE PROBLEM
A PoC rarely stalls on capability alone.
It usually stalls on what was left outside the scope of the trial.
- The trial ran on limited data, and accuracy moves once real operational data arrives.
- Integration, access rights and audit requirements were never part of the trial.
- Nothing was decided about what happens when the model is wrong, or when a case is an exception.
- It is not settled who checks the output, or who owns the result.
HOW WE WORK
Settle the production conditions, one at a time.
We start by separating what the trial established from what it did not. The trial itself does not become the product; what carries over is the understanding behind it — the business background, the constraints and the reasons decisions went the way they did — written into requirements, design and acceptance criteria for building the production system. What needs rebuilding is decided from that, not assumed up front.
- 01Take stock of the trial
- 02Check accuracy on real data
- 03Connect existing systems
- 04Design access and audit
- 05Decide how exceptions are handled
- 06Roll out in stages
WHAT WE DO
What ELYSAI takes on
- Turning the business background, constraints and reasoning from the trial into requirements, design and acceptance criteria
- Building the production system, integration with existing systems included, with AI assisting and engineers checking against the acceptance criteria
- Designing where a person checks, and how exceptions are handled
- Measuring the effect after go-live, and deciding the next improvement
WHAT IT TAKES
What has to be true to proceed
If any of these is missing, establishing it is itself part of the work. Knowing what is absent comes before deciding how to proceed.
- Someone involved who knows the work in question
- Real operational data, or data that tests the same conditions
- A way to connect to the systems involved, and the access that needs
- An agreed standard for what quality is good enough
FAQ
What people ask before going to production.
Not necessarily. Data prepared for a trial and data arriving from real operations differ in how much they vary and how many exceptions they carry. We check against a slice of the real data first, separate out the conditions where the gap appears, and then discuss what accuracy production needs and which work that accuracy is sufficient for.
It depends on the work in question. We start by finding where people are currently joining systems by hand, and look at the connections worth automating first. There is no need to connect everything at the outset; the scope of integration is proposed once the target work is settled.
Where a decision carries weight, and where an error would be hard to notice. What runs automatically and what a person checks is decided with you, based on who is accountable for the work and what a mistake would cost. It is settled during design, not bolted on afterwards.
Yes. Before starting, we agree what would have to be true to continue and what would mean stopping. Deciding not to proceed is a legitimate outcome of verification, and in that case you still receive what was established and the reasoning behind the decision.
Contact
Tell us about the PoC you have.
What it established, and what is still open. We start from that. The first conversation is online, with nothing to prepare.
Discuss taking a PoC to production
60 minutes, online, at no cost