Product · Natural Language Queries

Your analyst has a 4-week backlog.
Ward answers in seconds.

Every ad-hoc question from the C-suite takes a week. By the time the answer arrives, the decision window is closed. Ward researches in parallel across every data source and delivers root cause analysis with charts — same day.

One question. Full investigation.

Right now, answering “why did margin drop in the Southeast?” requires your analyst to pull data from 3 systems, reconcile it in Excel, and deliver a deck next week. Ward answers the same question in seconds — across every connected data source, with root causes, confidence scores, and auto-generated charts.

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Ward AI research interface showing root cause analysis with parallel queries
Ward identified two root causes driving margin compression. 8 parallel queries. 1.2 seconds.

Evidence trail, not a black box

Every finding shows its work. Forecast blockers, confidence scores, goal relevance. Pin findings to dashboards, share with your team, or drill deeper. Your compliance and analytics teams can trace any insight back to raw data.

Evidence trail

Confidence scores, forecast blockers, goal relevance — pin it, ask about it, or investigate deeper.

Ward evidence panel with confidence scores and investigation actions
Composable chart cards

Every chart is built on the fly from your question. Revenue vs. margin, category comparisons, store breakdowns — generated in seconds, pinnable to any dashboard.

Revenue vs gross margin chart card from natural language query

Full query transparency

See exactly what Ward ran against your data. The raw query, the chart spec, the result set. No guessing what happened behind the scenes. Export any query to your own BI tool or share it with engineering.

Every query, inspectable

See the raw data query and chart specification behind every result.

Ward query inspector showing raw data query and chart specification
One-click drill-down

Any finding can be investigated further. Ward keeps full context — each drill-down builds on what came before.

Ward investigate action with full context preserved

Powered by your choice of LLM

OpenAI, Anthropic, Gemini, or bring your own. Ward’s intelligent routing sends each task to the optimal model for speed, accuracy, and cost. Switch models anytime — no migration, no retraining.

Ward
Insight
Dispatch
Feedback
Evaluate
Learn
01

Insights surface

Ward’s agents detect what changed, why it matters, and what to do about it. Every insight includes a recommended action—not just a chart to interpret.

Real-time detection Root cause + recommendation
02

Insights become actions

Any insight card can be turned into a tracked ticket or task. Dispatched to the right person, on the right channel—mobile push, text, or email. Not every insight needs a ticket. But when one does, it has an owner.

Tickets created automatically Dispatched to the right person
03

Your team responds

Insights get voted up or down with reasoning. Tickets get completed or rejected. Every response is a signal—Ward learns what worked, what missed, and why.

Vote up / down Ticket completed Reasoning attached
04

Outcomes measured

Ward evaluates real results: revenue, margin, fill rate, labor cost. Did the action actually improve the number it targeted? Measured outcomes, not assumptions.

KPI impact tracked Results vs. prediction scored
05

Agents get sharper

Every vote, every completed ticket, every measured outcome feeds back in. Ward learns from your team’s judgment and real-world results. Each cycle sharpens the next. Then it starts again.

Cycle repeats, sharper each time
$1.8T
Projected global AI market by 2030
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Customer acquisition lift for data‑driven orgs
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Foundation models shipped since 2022
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Guarantees any single model stays on top

Your analyst has a backlog. Ward doesn’t.

Same-day answers to questions that used to take weeks. See it on your data.

Get a demo

Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches — and the ones your current tools miss.

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