WisdomAI Analytics Agents:
Autonomous workflows grounded in your business context
Gartner now calls the context layer a critical enabler for agentic AI, estimating that organizations prioritizing AI context will increase agent accuracy by up to 80%. Without it, agents produce unreliable outputs and higher costs.
Today we’re launching WisdomAI Analytics Agents: AI-powered analytics workflows that reason and act across your enterprise data stack with context supplied by the Adaptive Context Engine — the same system that powers 95%+ accuracy in WisdomAI’s Conversational BI and AI-Powered Dashboards.
How Analytics Agents work
It has never been easier to create custom agentic workflows. Just define the workflow you want and connect to the data sources you care about.
Start creating your Analytics Agent with a simple prompt, and then refine with our new drag-and-drop Agent Builder. Analytics Agents query the data stack, reason over results, and apply context. WisdomAI Analytics Agents generate work artifacts like decks and documents, send alerts, update dashboards, or trigger downstream systems.
The entire agentic workflow runs autonomously on a scheduled or event-driven basis. If the Agent hits a schema mismatch or data quality issue along the way, it will self-correct. Since WisdomAI Analytics Agents rely on data sources and context governed by the data team using our Adaptive Context Engine (ACE), you can trust the outputs and have confidence that your agents won’t hallucinate. Here's an example below of a RevOps Analytics Agent that helps sales leaders coach reps and advance deals with an automated analysis of unstructured call transcript data.
Reason across the entire enterprise data stack
In any large enterprise, data is fragmented across warehouses, SaaS apps, and file stores. Analytics Agents reach all of it with a federated approach that takes advantage of governed access to data sources managed by your data admins with ACE.
Bridge insight to action
WisdomAI Analytics Agents don’t just give you data or notify users with results; they analyze and act. Analytics Agents report anomalies, trigger webhooks and APIs, write to CDWs or third-party SaaS apps, and deliver finished artifacts via Slack or email.
A built-in artifact builder generates branded PDF reports, formatted slide decks, and templated emails. One workflow produces different deliverables for different stakeholders with no manual reformatting.
Trust and accuracy from the Adaptive Context Engine
Every agent inherits context from ACE, which continuously learns the tacit business meaning that lives in your team's heads — metrics, rules, relationships, vocabulary. ACE makes Analytics Agents accurate, reliable, and trusted at scale across structured, unstructured, semi-structured data sources in the enterprise.
Unlike lossy LLM agents that rely on inference-based text from step to step, WisdomAI preserves data integrity and gives you reliable, deterministic outputs.
Under the hood
Dataframe-native execution. Structured dataframes flow through every node, preserving column names, types, and metadata. A 3-phase model (plan, validate, execute) ensures the same input produces the same output every run.
Self-correcting workflows. When an agent detects a schema mismatch or logic error mid-run, it self-corrects automatically. Self-correcting nodes glow yellow on the canvas, backward propagation arrows show upstream adjustments, and correction logs capture every decision for audit.
From a natural language prompt to a running agent. Describe what you need and Agent Builder assembles the workflow: nodes, logic, connections, schedule. Any business user can go from idea to an agentic workflow automation in minutes
Agentic workflow use cases
Procurement reporting: An Analytics Agent pulls vendor spend from Snowflake, joins it against contract terms extracted from SharePoint, flags any spending category above 90% of budget, generates a branded report, and emails it to 12 stakeholders at 6 a.m. every Monday.
Board deck prep: An Analytics Agent pulls revenue metrics, enriches with Salesforce pipeline data, runs period-over-period analysis, and produces every insight required for a formatted PPTX that gets automatically delivered to the VP of Finance every Friday afternoon on Slack or Teams.
RevOps daily digest: An Analytics Agent fetches yesterday’s Gong and Granola call recordings, parses every conversation for themes, sentiment, and escalation signals, generates a summary, and posts a ranked digest to #sales-signals in Slack each morning.
The sky is the limit for automation and agentic workflow opportunities. Almost any work requiring data analytics can be automated with WisdomAI Analytics Agents.
Proven in production
Trusted by companies like Trumid, Patreon, Cisco, Rubrik, and Arm, Analytics Agents are improving productivity. For example:
Trumid deployed 20+ autonomous agents across 5 business categories, allowing their team to prepare for client meetings 2x faster.
Cisco optimized $53M+ in procurement spend across 20,000+ contracts and 11,000 vendors.
ConocoPhillips delivered self-service analytics to 2,000 field engineers with a 50% accuracy gain over their in-house build.
See it with your data
Analytics Agents are available now. Schedule a demo to see what they can do for you.
References
"The 3 Core Components of the Context Layer for AI Agents" (11 March 2026, ID G00848874) by Andrés García-Rodeja, Michael Gonzales, Christopher Long, and Afraz Jaffri.
