What is a Decision Topic?

A Decision Topic is anything leadership wants Decision AI to keep watching - a KPI, a customer segment, a contract renewal window, a board question, or a specific risk. Each Decision Topic runs continuously against your Knowledge Graph and produces a Decision Brief whenever something material changes. In the DataBlueprint product UI, Decision Topics appear simply as 'Topics' in the left navigation.

What is a Decision Brief?

A Decision Brief is a board-ready summary produced when a Decision Topic refreshes. It includes the question, the finding, the supporting evidence (with row-level traceability to source systems), and a recommended next move with projected impact.

What is an AI credit?

Credits power DataBlueprint's Decision AI activities - asking questions, refreshing Decision Topics, generating Decision Briefs, and running risk scans across your Knowledge Graph. Consumption depends on the complexity of the request.

What is a Knowledge Graph?

A live, unified map of every entity in your business - customers, contracts, products, costs, people - and the relationships between them, built automatically from every system you connect.

How is DataBlueprint different from a BI tool like Tableau or Power BI?

BI tools show tables and dashboards and require a data team to model and maintain them. DataBlueprint understands business relationships across all your systems, answers strategic questions in plain language, and surfaces recommended actions with traceable evidence. BI tells you what happened; Decision AI tells you why and what to do.

Is DataBlueprint read-only?

Yes, by default. DataBlueprint connects to all source systems in read-only mode. Agent write-back to systems like HR, CRM, and PSA is opt-in per system on the Business tier and requires explicit per-action approval.

Where does AI inference run?

All AI inference runs on a private LLM powered by AWS Bedrock, inside your AWS environment. Prompts, completions, and query results are never sent to OpenAI, Anthropic public endpoints, Google, or any external model provider. AWS Bedrock contractually guarantees customer inputs and outputs are never used to train shared models.

Can I Downgrade My DataBlueprint Plan?

Yes, any time. Topics or sources above the lower tier's limits go read-only — they do not disappear. Reactivate by upgrading or archiving.

Most SaaS contracts treat a downgrade like a punishment. DataBlueprint is built differently. You can move down a tier any time you want, and your work survives the move.

What happens on a downgrade

When you drop to a lower tier:

Decision Topics above the new limit go read-only. You keep them. You can read the briefs. They just stop refreshing until you upgrade or archive enough Topics to fit the new cap.
Sources above the limit go read-only. Same idea. The Knowledge Graph keeps what it learned; it just stops pulling new data from those sources.
Historical Decision Briefs remain. Forever. Downgrade does not erase past output.
Seats are unaffected. Seats are unlimited on every tier — they are metered through credits, not headcount.

What does not happen

You do not lose your Knowledge Graph. You do not lose your history. You do not get locked out. You do not have to rebuild anything when you upgrade later.

Why the soft-cap model

We have watched too many tools force a destructive choice: pay more, or lose the work. That kills trust. A read-only soft cap is honest — it says, "this is more than your tier covers, but it is yours, and you can turn it back on whenever."

The alternative is what most vendors do: delete the data, force a re-onboarding, charge a setup fee on the way back in. We do none of that.

How to downgrade

You can change tier from your account settings at any time. The change takes effect at the next billing cycle, so you finish the period you already paid for. See the pricing page for the full tier comparison.