Skip to content
LoweLabs

Decision Intelligence

Predictive models, optimisation, next-best-action and decision services.

The offer

Better decisions, made automatically and at scale, are where AI turns into economic value. We help you find which decisions are worth optimising, design the model and the decision service around them, and build one into a real workflow to prove it moves the number you're after.

Three ways to work with us, depending on where you’re starting from.

1. Decision Intelligence Scan

Find value: 1 to 2 weeks

A fast look at the decisions your business makes every day, at volume, where a model could genuinely do better than the current rules or gut feel. We rank candidates by the value at stake and the data you already have to support them.

What you get

  • A shortlist of high-value decisions worth optimising
  • A view of the data and feasibility gap for each
  • A recommendation on where to start
Best forTeams who know they're leaving value on the table in a repeated decision but haven't quantified where. Or maybe you just need help building a specific business case.
2. Model & Decision Design Sprint

Discovery (Prove): 4 to 6 weeks

A structured discovery for your priority decision. We assess data feasibility, design the model and the decision service around it, including how it plugs into the workflow it's meant to improve, and lay out the roadmap to build it.

What you get

  • A designed model and decision service, feasibility-tested against your data
  • A workflow integration plan, so the decision actually gets used
  • A 90-day roadmap to build foundations
Best forTeams with a clear target decision who need it designed and de-risked before committing to build.
3. Decision Service Pilot

Build & Scale: 6 to 10 weeks

We build and deploy the framework and pipelines to support a predictive model, feature engineering and monitoring. Demonstrating how the inference/endpoint performs against existing processes with real data. This estables the value, a foundation and ability to scale across multiple workflows.

What you get

  • A live decision service, running against real data and real users
  • A measured before-and-after view of the metric it targets
  • A path to scale across the rest of the business
Best forTeams ready to prove a model moves a real number before rolling it out further.

Not sure which of these fits?

Start with a conversation.