AI pilot lab

Ship GenAI copilots that are safe, grounded, and measurable.

We combine design sprints, RAG architectures, and responsible AI guardrails to take you from idea to validated pilot in two months.

View related work

Schedule a 30-minute working session with a senior consultant in Microsoft Bookings.

Connected cloud, data, and AI pipelines
Pilot review inside the Query Minds AI lab.

Where we jump in

These are the sparks that usually bring us into the room.

  • Teams experiment with GenAI without data governance.
  • No rubric for picking the right use cases to automate.
  • Security, legal, and compliance stakeholders lack visibility.
  • Pilots stall because there is no evaluation harness.

Outcomes you can expect

Every engagement ships measurable impact, documentation, and enablement.

  • Prioritised use-case backlog scored on impact, feasibility, and risk.
  • Reference RAG architecture with connectors to your approved data sources.
  • Evaluation toolkit with red teaming scenarios, tracing, and human review.
  • Launch plan covering change management, training, and ongoing monitoring.

Delivery method

How we work with your team

Every week includes demos, telemetry, and regulator-ready documentation.

  1. 01

    Discovery & guardrails

    Align stakeholders on responsible AI principles, data policies, and success metrics.

  2. 02

    Pilot blueprint

    Design user journeys, knowledge architecture, and feedback loops with business owners.

  3. 03

    Build & evaluate

    Implement copilots with Azure OpenAI / Anthropic, retrieval, and policy enforcement.

  4. 04

    Launch & scale

    Train users, measure value, and prepare the next wave of prioritized use cases.

Where it shines

High-value use cases

Public sector

Licensing copilot

Built a retrieval-powered assistant for licensing staff with audit logging and guardrails.

Case prep time dropped dramatically while compliance teams kept oversight.

45% faster case prep

Insurance

Broker enablement

Delivered a quoting assistant grounded in approved policy language with staged rollout.

Brokers answer customer questions with governed data in seconds.

30% quicker responses

Manufacturing

Ops command center

Unified IoT alerts, SOPs, and chat via Teams with escalation workflows and human approvals.

Supervisors triage incidents faster without context switching.

35% faster incident closeout

Responsible AI guardrails we implement

  • •Evaluation datasets with automatic regression testing.
  • •Red teaming workshops that include security, legal, and business owners.
  • •Content filters, grounding enforcement, and traceability hooks.
  • •Human-in-the-loop workflows with documented approval paths.

Platforms & accelerators

Tech we bring to the table

Azure OpenAIMicrosoft FabricAzure AI SearchLangChainSemantic KernelPrompt FlowAnthropic ClaudePower Virtual Agents

FAQs

Questions we get a lot

Which models do you support?

We are model-agnostic and regularly work with Azure OpenAI, Anthropic, and open-source models depending on compliance needs.

Do you offer managed services after launch?

Yes. We can provide ongoing monitoring, evaluation tuning, and backlog grooming or hand it to your team with runbooks.

Ready for AI pilot lab?

Tell us about your priorities and we will share a playbook within one business day.

Contact sales