Prophecy has introduced new AI-powered data preparation products that give business users and data analysts greater visibility into work performed by AI agents. The capabilities allow users to review and validate agent-generated workflows before relying on their outputs for business decisions. Prophecy also expanded its AI agents to Snowflake, adding to its existing support for Databricks.
Prophecy built the release around a growing problem for data platform leaders. As budget has gone toward AI model costs and scaling AI agents, pilots continue to stall before reaching production. Often this is not because of the model, but because the underlying data is prepared by hand in desktop tools by whoever happens to own the spreadsheet, or because companies rely on a few dedicated technical resources that cannot keep up with data preparation requests.
“Companies have poured, and continue to pour, massive chunks of their budget into models and agents, yet pilots still aren’t turning into value for business users,” said Raj Bains, CEO, Prophecy. “Few are budgeting for AI data prep, and that’s exactly what’s led to AI projects not meeting anticipated goals or delivering the expected ROI.”
Prophecy’s AI data prep tools give business users a way to quickly understand and verify what an AI agent changed in a data workflow or chart before trusting the output. Instead of reviewing pages of generated SQL or Spark code (or involving the data engineering team), business users can see changes laid out visually alongside the data produced.
Prophecy’s interface has also been simplified for the review process. Projects now open directly to the analysis view after a question is asked, with the underlying pipeline available a click away instead of the default starting point. “With this release, we want to keep business users focused on answers first, with the technical detail available on demand rather than upfront,” said Bains.
Prophecy’s AI data prep and analysis capabilities for business users include:
- A specialized data agent that draws on user prompts and metadata-based knowledge graphs to handle data tasks, including data prep workflows, onboarding data into target formats, and running analyses on demand
- A step-by-step review flow, powered by Prophecy’s specialized AI agents built on specialized Claude Code, enabling business users to see what an AI agent added or changed in a workflow or chart (piece by piece) before approving the output
- A single canvas for AI data prep and analysis, so business users can refine workflows and generate charts without switching between separate tools
- Analysis dashboards that turn a plain-language question into charts and summary findings so that users can test hypotheses and ask clarifying questions without writing a query
AI agents for Snowflake
Prophecy’s expansion of its AI agent products to Snowflake gives business analysts at Snowflake-native organizations the same self-serve workflow, without moving data outside the customer’s existing environment to get there.
“Most AI tools on the market assume you’ll pull data out to somewhere else to get value from it,” said Maciej Szpakowski, CTO, Prophecy. “Running our AI data prep tools on Snowflake ensures governance and access stay exactly where the data platform team already puts them—and wants them—and that the AI agent works within those boundaries instead of around them.”
Learn more at https://www.prophecy.ai/
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