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Analytics Agents
Agentic workflows that bridge insight to action
Build agents that query disparate data sources, analyze the numbers, and take action: create tickets, trigger APIs, escalate incidents, and notify your team
Marketing
Sales
Finance
HR & People
IT & Engineering
Operations
Activate your data stack and turn it into a flywheel for your business
Agents that close the loop between insight and action
Grounded in your data
Define what metrics mean, set calculation rules, and refine context over time. The more data sources your data team connects and the more they train WisdomAI, the more accurate it gets.
Text to agentic workflow
Describe what you want in plain English. WisdomAI builds the full agent in seconds: data connections, reasoning logic, and actions. Drag and drop one node at a time. No code required.
Insight-to-action, automatically
WisdomAI Agentic workflows do more than notify when thresholds are reached. They reason over data, do the work, make decisions with governed context, and take the right actions with observability built-in.
Full observability
Agentic workflows with trust require observability and auditability at every step. The run visualizer shows shows you what SQL ran, what the AI reasoned, what actions were taken, and why.
Adaptive Context Engine
The Adaptive Context Engine learns your business semantics: metrics, nuanced data definitions, and what data means in the moment as business conditions evolve.
Controlled lifecycle
Draft, Test, Publish, Activate, Run. Human-in-the-Loop nodes gate critical actions behind approvals.
Complex workflows
Model and deploy complicated workflows with conditions, loops, Human-in-the-Loop, and more. Analytics Agents don't lose context between steps in long workflows.
Reviewed runs
Scale and repeatability is engineered-in. Watch and modify agent runs and deploy with determinism and predictability in production workflows .
Two ways to build
Start with words, refine on the canvas.
Both modes produce agents that analyze and act.
Visual Mode
Prompt Mode
Connected to your stack
Analytics Agents reason across disparate data sources, then write back to your systems in a trusted manner
Trusted at enterprise scale
WisdomAI Analytics Agents unlock the value of your data, freeing everyone for more strategic work
$53M
projected savings
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2,000+
engineers enabled
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80%
questions self-served
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2X
faster
Client meeting prep
Frequently asked questions
How are WisdomAI Agents different from other agentic analytics tools?
WisdomAI agents process structured data (tables, columns, types, and relationships) and convert to plain text strings between steps in a workflow. Each conversion loses precision, numbers lose precision, and context is lost, which leads to hallucinations and, worse, confident but wrong answers. WisdomAI Agents execute on dataframes natively, preserving schema end-to-end with self-correcting nodes.
What can agents actually produce and deliver?
Since WisdomAI Agents get context from the Adaptive Context Engine, they understand the nuances of your data and your business. In addition, because they are built on self-correcting nodes, maintain dataframe contracts from step to step, and come with a brand-aware artifact builder, they can be trusted at scale to produce valuable, accurate deliverables much like a human analyst, but in a fraction of the time.
What data sources do agents connect to?
WisdomAI natively connects to hundreds of structured and unstructured data sources, including Snowflake, Databricks, Google BigQuery, Amazon Redshift, Oracle, Microsoft SQL Server, Azure Synapse, ClickHouse, Teradata, Trino, CSV, MCP, APIs, Amazon S3, Google Cloud Storage, Azure Blob Storage, SharePoint, PDFs, DOC/DOCX files, PPT/PPTX files, .txt files, images,, and more.
How do agents connect to our existing data stack?
WisdomAI is a federated agentic analytics platform surfaces insights across all your data, wherever it lives. Data is never moved nor is it necessary to construct labor-intensive data pipelines. WisdomAI Agents can span your entire data estate with zero ETL.
What makes the Adaptive Context Engine different from a semantic layer?
WisdomAI's Adaptive Context Engine builds the Enterprise Context Layer and auto-learns from metric definitions, entity relationships, and business vocabulary from every interaction, not just schema and metadata. A semantic layer is typically out of date as soon as completed and stops at providing data definitions. In order to work reliably and with accuracy at scale, AI Data Agents need a continuously updated Enterprise Context Layer, which captures organizational, team, and user meaning (context) as it evolves above the semantic layer.
What do analytics Agents actually do?
WisdomAI agents monitor your users’ data continuously and push insights — anomaly alerts, scheduled digests, threshold notifications — so your users get value without ever opening a dashboard.
What product surfaces does the embedded SDK support?
WisdomAI agents support conversational BI, AI-powered dashboards, and Agents — all powered by one shared context layer, embeddable via iFrame, React SDK, or GraphQL API.
Unblock everyone on your team
Every company has more demand for analytics support than it can meet. Free your data team and let the business self-serve with Analytics Agents that reason and act on data.