Enterprise AI, delivered by the people who build it.

KDBL began as a specialist enterprise AI consultancy and Microsoft Partner. That work continues alongside K-Lake, and it is better for it: every engagement is delivered by engineers who ship production software and live with the consequences.

Four kinds of engagement.

From a proof of concept to an enterprise-wide rollout, with the same people throughout.

K-Lake delivery

We run the proof of concept with you, size the production deployment for your estate, integrate your identity provider and sources, and enable your operators to run it.

  • Proof of concept and evaluation
  • Production deployment and sizing
  • Identity, directory and source integration
  • Operator enablement and runbooks

Agentic AI systems

Autonomous agents that reason, plan and act across complex workflows, orchestrating tools, data and decisions with the human oversight serious organisations require.

  • Multi-agent orchestration
  • Tool and API integration, including MCP
  • Human-in-the-loop controls
  • Grounding over K-Lake or your own data

Strategy and governance

Clear, pragmatic direction from people who build. We help you identify the highest-value opportunities, the risks that matter, and a credible path to deliver.

  • AI readiness and roadmaps
  • Architecture and tooling choices
  • Responsible AI and risk
  • Data governance for AI

Deep, hands-on experience on the platforms you already run.

Microsoft 365 Copilot

Connectors and agents

Custom connectors and agents that extend Microsoft 365 Copilot, grounding it in enterprise data and workflows so it delivers contextually relevant assistance across the Microsoft ecosystem.

Graph connectorsCopilot agentsAzure AI

Google Workspace

Agents and automation

Agent solutions within Google Workspace that automate workflows and improve collaboration through AI assistance tailored to how your organisation actually works.

Workspace agentsGeminiWorkflow automation

K-Lake and MCP

Grounded assistants over your files

Our own product, and the Model Context Protocol it speaks. We connect Claude, ChatGPT, Cursor and custom agents to your estate with per-file trimming, and build MCP tooling of your own.

MCP serversClaudeSecurity trimming

Kubernetes and Azure

Where it runs

Production-grade deployment, sizing and operation on Kubernetes and Azure, including Azure Marketplace delivery and the security posture your reviewers will ask about.

HelmAzure MarketplaceAir-gapped

A disciplined path to production.

AI projects fail in the gap between prototype and production. Our delivery model is built to close it.

1

Discover

We map your goals, data and constraints to pinpoint where AI creates genuine, defensible value.

2

Design

Architecture, governance and a clear roadmap. Pragmatic, secure and built for your stack.

3

Build

Rapid, iterative delivery of working systems with human oversight and quality baked in.

4

Scale

We harden, measure and roll out, turning a proven pilot into enterprise-wide impact.

Backed by the Microsoft partner ecosystem.

As a Microsoft Partner, KDBL delivers on a trusted, enterprise-grade foundation, combining deep platform expertise with the security, compliance and scale serious organisations require.

Discuss your project