Solutions
Data Analytics
For leaders whose reporting questions queue up behind a developer or one overworked analyst. We build data agents and dashboards on your live data that people trust and act on.
You're likely a fit if…
Reporting requests wait in a queue.
Simple questions about customers, orders or margin go to the same few people and take days to come back.
Two reports, two different numbers.
Leadership meetings start by arguing about whose figure is right.
Dashboards show what happened, not what to do.
There are plenty of charts. Few of them tell anyone which account to call today.
Cross-system questions are hard.
The answer needs your ERP, your CRM and a spreadsheet, so nobody asks.
What we build
Conversational data agents
Staff ask in plain English and get answers from live data, with the query and source shown. This was the first build for a B2B distributor we work with.
Learn more: Conversational data agentsAction-oriented dashboards
Widgets built around decisions, like accounts off their ordering rhythm or the biggest buying drops, and an agent that turns a plain-language request into a saved view.
Proactive alerts
Agents that watch the numbers and flag exceptions to their owners, with the evidence attached.
Agreed business definitions
One written definition of revenue, margin or an active customer, so the agent, the dashboards and finance give the same number.
Answer checks
A set of business questions with known-correct answers, rerun on every change.
Scope
Included, and not
One data area first, such as sales or operations, connected to its sources. A full data-warehouse program is scoped separately as a larger build. BI software licensing isn't included.
What we need from you
A business owner, someone in finance or data who can confirm definitions, and read access to the source systems.
Access and permissions
Read-only access to your data. People see only what your existing rules allow, and every query is logged.
What drives cost
The number of data sources, their quality, whether a warehouse already exists, how complex your permissions are, and how many people will use it. Builds are scoped and priced after the assessment.
How we'd start
Start with an Assessment to find which questions each role asks most and waits on longest.
Pick one data area, agree the definitions, and collect test questions with known answers.
Build with the people who'll use it, on live data, read-only.
Roll out to a first group, watch what they actually ask, and expand from there.
Hand the definitions, tests and upkeep routine to your owner.
Common questions
Do we need a data warehouse first?
Not always. An agent can often work from a read-only copy of the systems you already have. If the Assessment shows your data is too scattered, a warehouse becomes part of the plan.
How do we know the answers are right?
Every answer shows the query and data behind it. A test set of known answers runs on every change, and owners sign off the definitions.
Who can see what?
The agent follows your existing permissions. A rep sees their accounts; finance sees what finance sees.
How long does it take?
A first data agent on one data area is usually S (1–3 weeks) or M (1–2 months). Several sources plus a new warehouse is typically L (3–6 months).
Industries where this applies
Let's find where AI pays off in your business.
Thirty minutes with Daniel. No pitch deck: you talk about your business, I tell you honestly where AI fits and where it doesn't.