<1min
Time to non-standard answer
From 3–5 days
Case Study
Ask your data the question, get the answer.
A natural-language interface over your operational data. Executives type or speak the question — revenue, occupancy, attendance, performance, trends across departments and locations — and get the chart, the table, and a written takeaway in seconds. No BI tickets, no spreadsheet wrangling, no waiting for the analytics team.
The biggest reporting problem is usually the second question. A report says revenue is down; the useful discussion starts with why, where, with whom, and whether the same pattern showed up last season. Conversational reporting lets leadership follow that thread while the team is still in the room. Every answer is sourced — the underlying numbers are visible for review, so trust is built into the workflow rather than asked for.
Capabilities
Plain-English queries against revenue, occupancy, attendance, F&B, payroll, and any connected source.
Source-backed answers with the underlying numbers visible for review.
Auto-generated charts and tables with the right visualization for the question asked.
Written takeaway explaining what changed and why, not just what the number is.
Drill-down with follow-up questions (“now break that down by location and by month”).
From Our Work
Operators answering their own questions, on their own time.
Operators at the group were waiting 3-5 days for any non-standard report from a small analytics team. Comparing cover counts, average check, server productivity, and beverage attach across venues meant joining a queue. We delivered a conversational interface over the consolidated data warehouse. Operators now type or speak the question, see the answer in seconds, and follow up without a ticket. Time-to-answer collapsed from days to under a minute, analyst-time on ad-hoc queries fell from 65% to 15%, and weekly active operators went from 4 of 15 to 14 of 15 inside the first month.
<1min
Time to non-standard answer
From 3–5 days
87%
Ad-hoc questions answered without analyst help
From ~12%
15%
Analyst time spent on ad-hoc queries
From 65%
14/15
Operators using data weekly
From 4 of 15
78%
Decisions cited as data-driven (board review)
From 31%
Key Insight
Leaders do not need more dashboards. They need reliable answers to the next question, while the decision is still live.