Business Intelligence, Analytics & AI

We work best with organisations that want a focused, hands-on partner rather than a large vendor relationship; from mid-sized companies to enterprise teams looking to modernise a specific part of their data or AI stack.

Not necessarily. We often start by assessing what's working and what isn't, then recommend whether to modernise your existing setup, migrate to a new platform, or restructure the underlying data first. Migration isn't always the answer.

It's a layered approach to organising data - Bronze (raw), Silver (cleaned), Gold (business-ready) - that improves data quality, governance, and reliability. It gives your reporting and AI tools a consistent, trustworthy foundation to build on.

AI tools are only as reliable as the data behind them. If your data isn't structured or governed, we typically recommend addressing that first - otherwise the AI layer inherits the same inconsistencies. We can assess this as part of scoping.

Mainly three types: RAG-based knowledge assistants that answer questions from your own documents and data, predictive analytics and agentic AI for decision support, and custom LLM integrations for specific business workflows.

Power BI is our core specialism, but our broader focus is on getting your data structured and reliable; the reporting layer can be adapted to your organisation's existing tooling where needed.

It depends on scope; a dashboard project can take a few weeks, while a full migration or AI assistant build typically runs several months. We scope timelines clearly upfront so there are no surprises.

Both. We can hand off a completed solution, or stay engaged for ongoing support, monitoring, and optimisation; whichever fits your team's capacity and preference.

Yes, that's usually where we start. Many engagements begin with a discovery or assessment phase to understand your current setup and pain points before recommending a specific solution.

Not always. If your data and reporting foundation isn't solid, AI tools built on top of it will be unreliable. We're upfront about this in scoping; the right starting point depends on where you are today, not on what sounds impressive.