AI Analytics and Business Intelligence
Ask your business data a question and get an answer you can defend. Workisy translates plain-language questions into governed queries, explains what moved a metric and why, monitors for anomalies without being asked, and forecasts where current trends lead.
Features
Powerful Capabilities, Built for Scale
Every tool you need to run a world-class operation, from day one to enterprise scale.
Plain-Language Querying
Ask for headcount cost by region last quarter and get a chart and a number back, with the generated query shown for anyone who wants to check it. Analysts stop acting as a request desk for routine questions.
Governed Semantic Model
Metrics such as revenue, attrition, and gross margin are defined once with an owner and a formula every query resolves against. Two departments presenting the same number in the same meeting finally agree on it.
Forecasting and Scenarios
Project demand, cash position, and staffing needs from historical patterns, then compare scenarios by changing the assumptions behind them. Plans are built on modeled ranges rather than a single optimistic line.
Anomaly Detection and Alerts
Statistical monitors watch your metrics continuously and notify owners when a figure moves outside its expected band. Problems reach the right person days before a scheduled report would have shown them.
Driver Analysis
When a metric shifts, the system decomposes the change across segments, regions, and cohorts to show what actually moved it. The conversation starts at the cause instead of at the observation.
Generated Dashboards
Describe what a role needs to monitor and get a working dashboard with sensible chart types and layout, ready to refine. New reporting views take minutes rather than a sprint of analyst time.
Cross-System Data Blending
Join figures from your HR, finance, CRM, and operational systems into a single question without a manual export step. Analysis that spans functions stops depending on someone reconciling spreadsheets by hand.
Row-Level Access Control
Managers see their own teams and cost centers, executives see the enterprise, and sensitive fields are masked by role. One set of dashboards serves the whole company without maintaining separate restricted copies.
How It Works
Up and Running in Three Simple Steps
Connect Your Data Sources
Link your warehouse, operational databases, and business applications so Workisy can read current figures directly rather than working from periodic exports.
Define the Metrics That Matter
Agree the calculation, owner, and grain for your core measures once, so every question, dashboard, and forecast resolves against the same definitions.
Open Querying to the Business
Give teams plain-language access, set anomaly alerts on the metrics people are accountable for, and let analysts move to the modeling work that needs their judgment.
A closer look at Workisy AI analytics
The bottleneck is access to answers, not shortage of data
Companies rarely lack data. What they lack is a path from a manager's question to a defensible number that does not run through a ticket, a queue, and a two-week wait. By the time the report lands, the decision has usually been made on instinct. Workisy removes that intermediary for the large class of questions that are routine to answer but tedious to service, letting the person with the question ask it directly and get a chart, a figure, and the query that produced it.
Domain depth still matters, which is why plain-language querying sits alongside purpose-built products such as people analytics for workforce measures and financial analytics for margin and cash. Curated models handle the questions you ask every month; open querying handles the ones nobody anticipated.
Shared definitions are what make self-service safe
Opening query access without governance produces a familiar failure: three teams arrive at a meeting with three different attrition figures and spend the hour reconciling instead of deciding. Workisy prevents that by resolving every question through a semantic layer where each metric has one formula, one grain, and one accountable owner. Change the definition once and every dashboard, alert, and ad-hoc answer updates with it.
That layer is also what makes generated queries auditable — the model chooses which approved metric to use, not how to calculate it. For the reasoning behind treating workforce measurement this way, our analysis of people analytics in HR decisions works through the practical implications.
From describing the past to anticipating what comes next
Most reporting explains what already happened, which is the least actionable form of information. Workisy pushes forward along that curve: anomaly monitors flag a metric drifting outside its expected band while there is still time to intervene, driver analysis attributes the movement to specific segments, and forecasting projects where the trend leads under different assumptions.
Insight only pays off when it changes what the organization does, so alerts can start work rather than just notify — a margin breach opening a review, a hiring forecast triggering a requisition through AI workflow automation. Browse the complete AI solutions suite, or arrange a walkthrough using a sample of your own data.
Results That Speak for Themselves
Measurable Impact on Your Business
From Question to Answer
SQL Required to Ask
Agreed Definition per Metric
FAQ
Frequently Asked Questions
Ready to See It in Action?
Book a personalized demo and discover how Workisy can transform your operations in weeks, not months.