An appliance maker with nine plants. A chemicals business arguing about yield. A diagnostics chain that cannot say who saw a patient identifier. A software product whose numbers have to agree with themselves. A lender paying per seat for dashboards nobody trusts. Each one arrives for a different half, and each one is below in full.
These five companies are invented. They are the shapes of business Antvia is built for, written out so the product has something concrete to work on, and Acme Home Appliances is the company you will see inside the demo and the videos. None of them are customers.
We are starting our data and AI journey and do not want to start it twice.
The number on the leadership dashboard moves when the business moves, and says so when the data stops.
We have a lakehouse. It is not AI-ready, and it will not survive an audit.
The monthly argument about whose yield number is right turns into a conversation about the process itself.
Our data carries patient identifiers and we cannot say who has seen them.
An access review becomes something you run, rather than something you schedule two weeks for.
Our product is data-heavy. The platform has to be right first time.
The analytics in the product and the analytics behind it stop being two systems that have to be kept in step.
We pay enterprise BI prices for dashboards nobody trusts.
The review starts at the decision rather than at whose number is right.
Nine plants, selling through distributors and three marketplaces.
“We are starting our data and AI journey and do not want to start it twice.” Orders sit in the ERP, service calls in a CRM, production in plant systems, and sell-through arrives as marketplace files and a channel stock feed. The leadership dashboard reads all of it. When one of those feeds stops arriving, the number on screen does not change. It just gets older, and nobody is told.
The number on the leadership dashboard moves when the business moves, and says so when the data stops.
Catching bad data before anyone sees it →Four sites, batch manufacturing, selling to industrial buyers.
“We have a lakehouse. It is not AI-ready, and it will not survive an audit.” Batch records come off plant systems, lab results arrive as spreadsheets from four sites in four slightly different shapes, and quality sign-off happens in email. Yield is argued about every month, because each site computes it from a different starting point and nobody can show their working.
The monthly argument about whose yield number is right turns into a conversation about the process itself.
The spreadsheet is a source, not a failure →Four cities, collection centres feeding two reference labs.
“Our data carries patient identifiers and we cannot say who has seen them.” Patient identifiers sit in half the tables. Access was granted by whoever asked, in the week they asked. When somebody needs to know who could read a column in March, the honest answer takes a week to assemble and still comes with a caveat.
An access review becomes something you run, rather than something you schedule two weeks for.
Mapping access to how the business works →One product, several hundred customer tenants, analytics shipped inside the product.
“Our product is data-heavy. The platform has to be right first time.” Product usage, billing and support each describe the same customer slightly differently. The numbers the product shows a customer have to agree with the numbers the team reads internally, and building those twice is exactly how they come to disagree.
The analytics in the product and the analytics behind it stop being two systems that have to be kept in step.
Isolation without a stack per customer →Branch lending across two states, with collections run in house.
“We pay enterprise BI prices for dashboards nobody trusts.” Collections, risk and finance each keep their own version of the portfolio number, so every review opens with a reconciliation. The licence bill climbs each year with headcount, and every new view still needs a specialist.
The review starts at the decision rather than at whose number is right.
What per-seat pricing does to access →Thirty minutes on the half you came for, on your own data rather than on Acme. Bring the report that breaks every month, or the decision you never settled.