Analytics, BI and governed AI insight layers.
We make your reporting mean one thing, then add an insight layer that explains what changed and what to do.
Numbers you can trust, and answers that explain them.
Analytics enablement means your reports read from one governed dataset, every KPI (key performance indicator) is defined once, and the numbers agree wherever they appear. An AI insight layer sits on top and returns a structured answer: insight, likely cause, recommendation, immediate action, confidence.
- Businesses running Power BI, Looker or warehouse reporting that still depends on a person to interpret it.
- Marketing, finance and operations teams that want a plain-English reading of their numbers.
- Enterprises that need governed, modular, cost-controlled AI-assisted systems.
What a Optimize engagement delivers.
- KPI design and a semantic model your reports read from
- Power BI and Looker reporting environments, extended, not replaced
- AI insight layers that return structured answers on governed data
- Insight panels and recommendation cards inside the tools you use
- Monitoring, output review and quality checks from day one
- Performance and cost optimisation of cloud and AI workloads
Four rules we keep.
One BI (business intelligence) environment first, Power BI or Looker, not both.
One standardised dataset with core metrics and dimensions.
Three to five high-value use cases, then phase two.
Retrieval over prompt-dumping: only the relevant, compressed context reaches the model.
AI insight layer MVP on one BI environment
4 to 8 weeks
Firm timelines are confirmed after discovery. They depend on data readiness, integrations and governance requirements.
The CPA deterioration case
Input
Conversions, spend and click data for one campaign, retrieved as a compressed slice for the last 14 days.
Computed, before any AI
CPA (cost per acquisition) is 24% above target for three days in a row. Clicks are flat. Conversions fell by 31%.
The structured output
The result in the fixed shape shown on the right.
The human decision
The analyst checks the tag. Broken tracking is never graded as bad performance. No bid is touched until a person confirms.
Illustrative example. Not client data. Numbers are made up to show the shape of an answer.
Can you build on our existing Power BI or Looker?
Yes. That is our preferred pattern. The insight layer sits on top of the governed BI (business intelligence) environment you already run. We extend your investment. We do not force a replacement. We can also build the reports themselves if you have none yet.
What is a governed AI insight layer?
A system that reads approved datasets and returns a structured answer: insight, likely cause, recommendation, immediate action and a confidence score out of 10. The maths is computed before the model is called, so the AI explains a number, it never invents one.
How do you keep AI reliable and affordable?
Governed before generative: KPI (key performance indicator) maths, deltas and thresholds run in deterministic layers first. Retrieval over prompt-dumping. Structured outputs. Context-budget management, caching, response templates, output-length controls and full prompt and response logging.
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