A generic bi copilot fits when
- You already have a mature BI team and a maintained semantic model.
- You need one analytics tool across many non-gaming business units.
- Your main need is self-service dashboards, not player-level action.
Bounty vs generic BI copilots.
General BI platforms now ship AI assistants, such as the copilots in Power BI, Looker and Tableau. They are strong general tools. Here is a fair way to decide which one fits an iGaming operator, question by question.
A buyer's checklist
Six questions to ask any vendor.
Each row is a question worth asking, why it matters for an operator, and how Bounty answers it.
Question to askWhy it mattersHow Bounty answers it
01Does it already know iGaming metrics?GGR, NGR, FTD, bonus cost and net cashflow have operator-specific rules. A tool that does not know them needs your team to teach it first.Built around iGaming definitions from day one, then set to your business rules.
02Who builds the data model underneath?A copilot answers on top of a semantic model. Someone has to build and maintain it.Warehouse-native: we configure the iGaming metric layer on BigQuery, Snowflake, Redshift, Databricks or any SQL warehouse, or on a managed one we provide.
03What happens on an ambiguous question?Online and retail, or two periods, can produce a confident answer to the wrong question.Bounty asks online or retail, and which period, before it answers.
04Can it explain why a number moved?Boards ask why, not only what. A structured investigation saves a day of analyst work.Why questions open an investigation with branches and evidence for each driver.
05Does it go beyond answers?Insight only pays when someone acts on it: a player to contact, a record to check.Pulse ranks today's player actions, PAM+ holds the player and payment records, in the same workspace.
06Is responsible gambling built into the workflow?Commercial actions on vulnerable players are a regulatory and ethical risk.RG concerns and cases are shown before any commercial action in Pulse.
Fair fit
When each one is the better choice.
Bounty fits when
- You want iGaming answers without building the metric layer yourself.
- Your BI queue is full of the same GGR, NGR and bonus questions.
- CRM, VIP and risk teams need to act on the answers, not only read them.
Start next to your BI platform, with nothing replaced on day one. Then move reporting, alerting and player actions into Bounty as each team is ready.
FAQ
Comparison questions
Is Bounty a replacement for our BI platform?
It can be, over time. You start with Bounty next to your existing BI, on the same warehouse, and move reporting into Chat and Insights, and CRM into Pulse, when your team is ready.
Why not just add an AI copilot to our current dashboards?
That works well when your semantic model already encodes iGaming rules. If it does not, the copilot answers on whatever definitions exist. Bounty starts from iGaming definitions and builds the data layer with you.
Does Bounty send our data to a general AI model?
No copy of your database leaves your environment. Only the question and on-screen result for an AI summary go to the AI model provider agreed for your deployment.
Keep reading
The questions buyers ask next.
Compare it on your own data.
A pilot answers these questions with your numbers, not a demo dataset.
Pilot: your data, in your environment. Demo: sample data, access reviewed within one business day.