Who benefits
Built for companies too big for spreadsheets and too lean for a costly data department.
Typically 100 to 2,500 people. Data spread across six to twenty systems. One to five people who understand it all. Leadership that wants AI, and an IT or compliance lead who needs to know exactly what it can touch.
By role
Every role gets something different. Nobody waits in the report queue.
Managing director and leadership team
Board packs assembled by hand, figures that arrive late and need explaining before they can be trusted.
Certified executive reports, live, with the same definitions in every meeting. Drill from group to site without asking anyone.
How did each region perform against the same weeks last year?
Finance director
Revenue means one thing in the ledger, another in the operational system. Reconciliation eats the first week of every month.
Measures defined once, with the rules written down: what counts, on which date, net of what. Every report uses the same rule.
Show collected revenue net of refunds by service, this quarter against last.
Operations director
Issues are spotted at month end. Backlogs and failure rates live in different systems with different owners.
Alerts created in a sentence, routed to the person who owns the fix. Daily operational views across every system.
Tell me when the backlog grows more than 25% in a week.
Commercial and account teams
Client reviews need a custom report each time. Clients ask for data you hold but cannot easily share.
Account-level reports on demand, and a client portal that shows each customer their own data, safely, in your brand.
Build a quarterly review for this client: volumes, trends and the top three issues.
Head of data or BI, often a team of one
The bottleneck by default. Every request lands on your desk and the knowledge of what the data means lives in your head.
You curate definitions and certify reports; agents handle the requests. Your knowledge becomes a documented, versioned asset of the business.
Which reports use the old cancellation definition, and what would change?
IT, security and data protection
Shadow AI is already happening. You cannot prove which person or agent saw which data, or stop a tool reaching too far.
One governed gateway for every AI tool. Read-only by default, role-based access enforced at runtime, retention to your agreement and a trail of who asked what.
Which AI clients connected this month, and what data could each one reach?
Compliance and legal teams
Every audit, regulator query or subject access request means chasing several teams to prove how a figure was calculated, who saw which personal data and what an AI tool was allowed to do.
Documented, versioned definitions for every measure, access enforced by role at runtime, every change approved by a person and a record of who asked what. Evidence for UK GDPR, the EU AI Act and sector regulators comes from one place.
Which reports use customer personal data, and who can see each of them?
Site, branch and team managers
The people closest to the work see their numbers last, usually as a PDF that is out of date when it arrives.
Their own patch, live, on any device. They see their sites and nothing else, and can ask follow-up questions in their own words.
Why was Tuesday so much lower than the week before?
Your customers and partners
They ask for data. You send exports by email, by hand, with all the risk that brings.
A white-label portal under your brand. Each customer sees only their own data, governed by the same rules as your staff. A new service you can sell.
How often do our visitors come back, and how long do they stay?
How it works
Describe it. Review it. Publish it.
No ticket, no queue, no waiting for IT. Your AI tool builds the report from governed data, and you publish it to the Kenerix portal for the right people to use.
You
- Describe the report or monitor you need
- Review what comes back
- Publish and share it on the portal
Your AI tool
- Finds the right data
- Applies your definitions
- Builds the dashboard
IT and data owners
- Set access and definitions once
- Certify what is trusted
- Leave the report queue behind
Honest fit
We would rather tell you now than six months in.
Kenerix fits well when
- Your data sits in several systems that were never designed to talk to each other
- A small number of people field most data requests, and they are stretched
- Meetings stall on whose number is right
- You want AI on company data but need clear control over what it can reach
- Your customers or partners ask for data you cannot easily share
- You have regulatory, contractual or reputational reasons to prove who saw what
Kenerix is probably not for you when
- Almost all your data lives in one system whose built-in reporting already answers your questions
- You have a large data platform team and a mature catalogue, warehouse and governance stack you are happy with
- You need petabyte-scale data engineering or model training rather than answers and reports
- Nobody in the business owns a decision that better data would change
In those cases we will point you somewhere better.
See your own role in action.
Bring three questions you wish you could answer today. We’ll show you how Kenerix would answer them.