Skip to main content
New: Try our AI Chatbot assistant — click the chat icon in the bottom-right corner to get started.
Technology

What the right technology
actually does for a business.

The tools matter less than what they make possible. Below are five outcomes we deliver for organisations that take their data seriously — and the technology behind each one.

01Analytics & Reporting02Data Platform & Architecture03Deployment & Automation04Governance & Security05AI & Agentic Systems
01
Analytics & Reporting

Your reports answer questions instead of creating new ones.

Most BI implementations produce dashboards that look complete but can't be trusted — numbers that don't match, filters that break, definitions nobody agrees on. We build semantic models where every measure is governed, every calculation documented, and every number traces back to a source.

What the business gets

  • A single version of the truth — same number in every report, every system
  • Analysts who self-serve instead of raising tickets
  • Reports that survive personnel changes because logic lives in the model, not someone's head
Power BIDelivery and visualisation layer
DAXEnterprise measure design, performance-tuned
Tabular EditorModel governance, scripting, best practice enforcement
Power Query (M)Transformation and data shaping layer
SSASOn-prem and Azure Analysis Services where required
02
Data Platform & Architecture

Your data platform scales with the business, not against it.

Data teams slow down when the platform wasn't designed to grow. New sources take months. Queries run for minutes. Nobody's sure what the canonical dataset is. We architect lakehouse platforms on Microsoft Fabric that are built to extend — new domains added in days, not quarters.

What the business gets

  • New data sources onboarded without rebuilding what already works
  • Query performance that holds as data volumes grow
  • An architecture your team can understand, maintain, and hand over
Microsoft FabricPrimary lakehouse and analytics platform
OneLakeUnified storage across all Fabric workloads
Delta LakeACID-compliant, versioned storage format
Azure Analysis ServicesEnterprise semantic model hosting
Databricks + PySparkDistributed processing for large-scale pipelines
T-SQLWarehouse queries, optimisation, stored procs
03
Deployment & Automation

Releases stop depending on a person being available.

Manual Power BI deployments create single points of failure. One engineer who knows the process. No audit trail. No rollback. A mistake in production that requires someone to stay late. We eliminate that by treating deployment as code — version-controlled, automated, and fully auditable.

What the business gets

  • Releases that run unattended across dev, test, UAT, and production
  • Full audit trail — every change, every approver, every timestamp
  • No production access needed by individual engineers
Azure DevOps (YAML)Multi-stage pipelines with environment approval gates
PowerShellWorkspace automation and API abstraction modules
Power BI REST APIProgrammatic control of workspaces and datasets
Graph APIUser and group management via Microsoft identity
Service PrincipalsNon-interactive auth — no personal accounts in prod
04
Governance & Security

Security reviews pass and access is always correct.

Most data estates grow faster than their governance. RLS configured by hand, once, years ago. Access reviews nobody can complete. Compliance frameworks that require documentation nobody wrote. We build security that configures and maintains itself from your metadata — auditable on demand, correct by design.

What the business gets

  • Security configurations that apply automatically as your client base grows
  • Access reviews that take minutes, not weeks
  • Governance documentation generated from the model, not written by hand
Entra IDIdentity platform — SSO, groups, conditional access
Azure Key VaultCentralised secrets, certificates, key rotation
RLS (Power BI)Automated row-level security driven by your metadata
RBACRole-based access across Fabric and Azure resources
MSALSecure authentication flows across all applications
05
AI & Agentic Systems

Your team ships AI features, not just talks about them.

Most organisations are stuck in AI pilot mode — proof of concepts that never reach production, tools that help individuals but don't change how the business operates. We build AI systems that integrate into real workflows, automate real tasks, and produce outputs your team can act on.

What the business gets

  • AI outputs connected to real data and real decisions
  • Automations that run without a human in the loop for routine tasks
  • Internal tools your team will actually use because they're built around their workflow
Claude APIPrimary LLM for reasoning, generation, and agentic tasks
Claude CodeAgentic development — architecture through to deployment
Azure AI FoundryEnterprise AI deployment and model lifecycle management
n8nWorkflow automation for multi-step fan-out patterns
LangChainAgent abstractions for complex multi-step pipelines
The full picture

These five outcomes
work as a system.

Most engagements start with one — a reporting problem, a slow pipeline, a deployment that keeps breaking. But the organisations that move fastest are the ones where all five are in place. Governed analytics built on a solid platform, deployed automatically, secured by design, with AI sitting on top of data it can trust. We build towards that complete picture, one layer at a time.

Start with one outcome

Tell us which one
is hurting the most.

We'll be direct about whether we can help, what it involves, and what it would cost.

Talk to us →See our services