More trustworthy decisions
Make the path from business data to an explanation easier to inspect, so teams can act with a clearer understanding of the numbers.
FROM POSSIBILITY TO PRACTICE
What it does for your business
For your data and analytics team, “Activity summarisation” can become a repeatable workflow rather than a separate task handled from scratch each time. AI can prepare an editable first version from your brief and source material, following your templates, audience and tone. It fits into data preparation, analysis and business reporting, using your business information and the standards your team already works to.
The value it could bring
These are the improvements to evaluate against your current process. We agree the scope and test the value with your team.
Get to a useful draft sooner
Spend less time assembling the first version and more time refining the content that matters to the audience.
Keep output consistent
Follow approved structure, terminology and tone across repeated pieces of work.
EVIDENCE FROM OTHER BUSINESSES
Published ROI evidence
We have not linked a comparable published financial ROI study for this use case yet. That leaves it unranked, rather than assigning an estimated score. A pilot can measure benefits and total implementation and running costs in your business.
How it works in your business
STEP 1
Bring in the right context
Select the relevant information from your databases, spreadsheets and analytics workspace. Agree what a good result looks like with your data and analytics team, including the rules, examples and permissions the workflow needs.
STEP 2
Turn the task into a workflow
Summarise a long trail of actions into what happened. Build the draft around the required information, keep factual content tied to supplied sources and identify anything the writer still needs to confirm.
STEP 3
Put the result to work
Return an editable draft in the team's working format, ready for the owner to refine and approve. Analysts verify queries, calculations, definitions and assumptions before a result informs a business decision.
AN EXAMPLE IN PRACTICE
A member of your data and analytics team needs help with “Activity summarisation”. They supply approved data sources with agreed access, together with the relevant instructions and the result they need. The workflow prepares an initial result with its supporting context, flags missing information and returns it for review. The owner can correct it and use the accepted result in the team's databases, spreadsheets and analytics workspace.
Start with a focused pilot
Choose one workflow, one team and a representative set of real tasks. We establish the current baseline, build the first version and review the results together before expanding it.
What we would start with
Depending on the scope, useful inputs include:
- Approved data sources with agreed access
- Metric definitions, schema and business rules
- Known examples and quality checks
We agree access and integration with your databases, spreadsheets and analytics workspace as part of the design.
How we would measure value
- Time to an approved draft
- Factual corrections and editing effort
- Reconciliation to trusted figures and time to a usable analysis
Analysts verify queries, calculations, definitions and assumptions before a result informs a business decision.
LET’S BUILD IT TOGETHER
Could this help your business?
Tell us how your team works today and what you would like to improve. We’ll explore the opportunity, shape a practical first step and build it with you.
Talk to us about this use case