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LoweLabs

Applications & Agents

GenAI apps, copilots, agents, RAG, evaluation and guardrails.

The offer

Agents and copilots are easy to demo and hard to trust. We help you work out which workflows are actually worth automating, then build the application with the evaluation and guardrails needed to run it in production, not just in a demo.

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

1. GenAI Readiness Check

Find the value: 1 to 2 weeks

A fast assessment of where copilots or agents could genuinely help, and what's standing in the way. We look at your workflows, your data and your current guardrails, and tell you honestly where you're ready and where you're not.

What you get

  • A shortlist of workflows worth automating
  • An honest read on data, integration and governance gaps
  • A view on build versus buy for each candidate
Best forTeams under pressure to "do something with AI" who want a grounded starting point.
2. Agent & Copilot Design Sprint

Discovery (Prove): 4 to 6 weeks

A structured discovery for your priority workflow. We design the agent or copilot, define how it will be evaluated, and set the guardrails and human-in-the-loop points before a single line of production code is written.

What you get

  • A designed agent or copilot, with workflow and architecture mapped
  • An evaluation framework, so you know if it's actually working
  • A 90-day roadmap to build and deploy
Best forTeams with a clear target workflow who need it designed properly before committing to build.
3. Agent MVP Build

Build & Scale: 6 to 8 weeks

We build one agent or copilot end to end against a real workflow, with evaluation and guardrails in place from day one. It's built to the standard it needs to run in production, not to look good in a demo, so it becomes the template for what comes next.

What you get

  • A working agent or copilot in a real workflow
  • Evaluation and observability running from launch
  • A reusable pattern for the next one
Best forTeams ready to prove one agent works properly before scaling to more.

Not sure which of these fits?

Start with a conversation.