Chosen for the demo, not the business
Use cases picked because they impress in a meeting, not because they move a number someone owns.
LoopsRelay helps companies decide where AI is worth it, build the software that delivers it, and train the people who will run it. Senior practitioners, written decisions, and code in your repository from week one.
The technology usually works. What fails is the choice of problem, the gap between prototype and production, and the hand-off to the people who have to run it.
of enterprise generative AI pilots delivered no measurable impact on profit and loss.
Use cases picked because they impress in a meeting, not because they move a number someone owns.
Prototypes that never touch real data, real permissions or the workflows people actually use every day.
No evaluations, no runbooks, and nobody who knows what to do when the outputs start to drift.
We fix all three: strategy that names a metric, engineering inside your stack, and training for the people who inherit the system.
Use one, or combine them. Every service is delivered by senior practitioners and ends with something your team keeps.
Custom products, platforms and integrations, built by senior engineers and released weekly into your repository.
Find where AI earns its keep: a readiness assessment, a prioritized use-case portfolio and a roadmap your board can fund.
Hands-on programs for leaders, engineers and everyday teams, built around your own tools, data and policies.
Internal assistants, agents and coding tools wired into your systems, with clear limits on access and cost.
Senior judgment on call: architecture reviews, technical due diligence, vendor selection and fractional CTO support.
Book a free 30-minute call. We’ll tell you honestly which of these you need, if any, and what we’d do first.
Book a call ↗Our goal on every engagement is the same: leave your team more capable than we found it, with systems they understand and own.
The people on the first call are the people who do the work. No bait-and-switch, no junior bench.
We pick models and vendors per task on quality, cost and your data rules. We don’t resell software or take referral fees.
Code, prompts, evaluations and docs live in your repositories. Nothing depends on our infrastructure.
Every AI feature ships with an evaluation set and a cost baseline, so you can see when it improves and when it slips.
Our desktop coding agent. We build it, we use it on every engagement, and we can roll it out for your engineering team.
We reply within two working days. If we aren’t the right fit, we’ll tell you and suggest who might be.