Summaries with context
Get a readable summary of changes in revenue, costs, sales or capacity. Connect each observation to its period and relevant metrics.
Let AI help summarise performance, highlight anomalies and find the next question. We build analytical support around your data and metrics, with traceable evidence and clear boundaries.
See the change. Check the evidence. Explore further.
A dashboard can show that something changed. Knowing where to start investigating takes more time. And a well-written AI answer is not useful if it lacks a source or mistakes an association for an explanation.
We connect AI to selected, validated data and defined measures. Answers should identify their period, sources and limitations. We evaluate the analysis against your actual questions and keep people involved where business knowledge is needed.
A thoughtful tool starts with your business. These are some of the things we can help with.
Get a readable summary of changes in revenue, costs, sales or capacity. Connect each observation to its period and relevant metrics.
Highlight movements against targets, previous periods or historical patterns. Adapt thresholds and seasonal comparisons to your business so signals are meaningful.
Explore which locations are off budget or how cost per recorded lead has changed. Restrict access to approved measures and the user's permissions.
Summarise recurring themes in available reviews and feedback. Show scope and examples where permitted, with the team's review of AI interpretation.
Illustrative solutions. Data availability, permissions and connections are assessed for each project.
AI summarises the largest movements and links to the relevant measures. Potential explanations are presented as questions to investigate, rather than established causes.
Highlight movements in ad spend, recorded leads and qualification. Separate platform attribution, your own tracking and data that cannot be linked.
Group available feedback into themes such as service or waiting times. Show counts, periods and uncertainty so isolated reviews do not create a misleading overall impression.
You should know what we are building, why we are building it and what happens next.
We start with your key questions and map the data sources, access and metrics.
We define the first dashboard or report. You receive a clear proposal covering scope and price.
We connect the data, validate calculations and build views for you to try throughout the project.
We plan onboarding, data checks and maintenance. New questions can shape the next step in your BI solution.
Every business is different. We help you work out what makes sense for yours.
Ask your questionAI can make mistakes. We therefore build around defined measures, source references and quality checks, and test against real questions. Evidence should be reviewable. Important decisions still require people with the right business knowledge.
No. We determine which information is actually needed and choose the model, hosting and data handling with you. Access, storage and provider terms are part of the solution design.
AI can show which measures moved and suggest useful investigations. A statistical association is not automatically a causal relationship. We make that distinction visible and use verifiable data and business knowledge to guide conclusions.
Tell us which systems you use and what you want to understand better. We will help you define a concrete first BI project.