AI for data and Reporting, Let the business query data in plain language.
We help data and analytics leaders automate reporting, enable natural-language querying and add anomaly detection. Insight reaches decision-makers faster and with less manual effort.
Winner, Innovative Agency of the Year UK Agency Awards 2026
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Where the work gets stuck.
Problems teams bring to us.
“Reporting is manual and repetitive”
The same reports get rebuilt by hand every cycle, consuming analyst time that should go to deeper, more valuable analysis.
“Only specialists can query the data”
Every question routes through the analytics team, which creates a queue that slows decisions and frustrates the wider business.
“Dashboards show numbers but not meaning”
Stakeholders see charts without an account of what changed or why, so they struggle to know what action to take.
“Anomalies surface too late”
Problems and opportunities hidden in the data get noticed only after they have already had an impact.
“Insight does not reach the right people quickly”
By the time analysis is packaged and shared, the moment to act on it has passed.
What we build for the team.
Six use cases.
Automated reporting
Generate recurring reports on a schedule, formatted and ready to share, so analysts stop rebuilding the same outputs each cycle.
Data summarisation
Condense large datasets into clear, accurate summaries that highlight what matters for the audience reading them.
Natural-language querying
Let people ask questions of the data in plain language and get reliable answers without writing queries or waiting in a queue.
Anomaly detection
Monitor key metrics and flag unusual movements early, so teams investigate problems and opportunities while they still matter.
Dashboard narratives
Add written commentary to dashboards that explains what changed and why, so the numbers arrive with their meaning attached.
Self-serve insight for teams
Give non-specialist teams safe, governed access to the answers they need, which reduces the load on the central analytics function.
How the work runs.
From mapping to measuring.
- Step 1
Review your data and reporting load
We look at where reporting time goes and which questions recur, then prioritise where automation and querying add the most value.
- Step 2
Connect to your data sources
We integrate with your data warehouse and BI tools, with the right access controls, so outputs are accurate and governed.
- Step 3
Roll out querying and narratives
We enable natural-language querying and automated commentary, then train teams, so they trust and use the outputs correctly.
- Step 4
Add monitoring and refine
We set up anomaly detection on key metrics and refine summaries and reports, so insight stays accurate and reaches people fast.
Questions about AI for data and Reporting.
Can we trust answers from natural-language querying?
Trust comes from how it is built. We connect querying to your governed data with defined logic and access controls, and we validate outputs against known results before rollout, so people rely on the answers they get.
Will this replace our BI tools?
No. It works alongside your existing data warehouse and BI platform, adding automation, plain-language access and narrative on top of the investment you have already made.
How do you handle data security and access?
We keep your data within approved environments and apply role-based access, so people only query what they are permitted to see, aligned with your governance and data protection requirements.
Book a call about AI for data and Reporting. Tell us the team and the task.
We will say where we would start.
Bring one workflow the team repeats every week.