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Architecture-first platforms for startups and growing organisations

Estimate a programme

Services

Data & Analytics

Dashboards on dirty data are theatre. We put lineage, quality, and access control underneath the pretty picture — then we put the picture in the hands of people who must act.

The problem

What we usually walk into.

Every department has a spreadsheet that disagrees with every other department’s spreadsheet. Leadership asks for a dashboard. What they need is a definition of the truth and someone accountable for it.

Approach

Governed insight.

Definitions first. Then pipelines, quality rules, access, and only then visualisation. Where AI is useful — classification, anomaly, briefing — it sits on that governed layer, not instead of it.

Data foundations

Catalogues, definitions, lineage, and quality rules that finance, operations, and audit can share.

Platforms

Warehouses, lakes, and serving layers sized to the organisation — not a hyperscale fantasy on a seed or SME budget.

Decision products

Operational reports, executive packs, and exception queues tied to the workflow that will use them.

Responsible AI

Models and agents that consume governed data, with explanations a founder or director can interrogate.

Outcomes we design for

  • One agreed number for the things that matter
  • Fewer reconciliation wars at month-end
  • Insight in the same week as the event
  • AI that can be explained, not just demoed

Who this is for

  • Founders and operators who still close the books in Excel
  • Finance and performance management
  • Growing organisations whose reporting still starts in a workbook

Other practices

Next step

Bring us the hard programme.

If the work needs architecture, security, and a team that will still be there at go-live, we should talk. Discovery conversations are with a senior architect — not a queue.