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.

Industry
Fine Dining Group
Scale
15 restaurants · three markets · ~$96M annual revenue
Timeline
11-week build
Inputs
Type Voice Drill-down
Technologies
Natural Language Querying · Auto-Visualization · Data Warehouse Layer · Source-Backed Answers

Capabilities

What It Delivers

  1. Plain-English queries

    Plain-English queries against revenue, occupancy, attendance, F&B, payroll, and any connected source.

  2. Source-backed answers

    Source-backed answers with the underlying numbers visible for review.

  3. Right-shape visualization

    Auto-generated charts and tables with the right visualization for the question asked.

  4. Written takeaways

    Written takeaway explaining what changed and why, not just what the number is.

  5. Follow-up drill-down

    Drill-down with follow-up questions (“now break that down by location and by month”).

From Our Work

From three days to under a minute.

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.