Introducing Thinkbox — the neuro-symbolic reasoning engine behind AirQuery Read more →
Solutions · Industry Use Cases

Data fluency for every team. In every industry.

AirQuery's natural-language chat interface puts the power of analytics in the hands of every business user — not just the data team. From the warehouse manager asking about delivery delays to the CMO comparing campaign ROI, every question gets a sourced answer in seconds.

The shift

From data gatekeepers to data fluency for all.

For 30 years the model was the same. Business teams asked questions. Analysts wrote SQL. Dashboards took weeks. Most questions never got answered at all — people just gave up and decided on gut. NLQ chat changes the equation completely. Anyone who can type a question can get a verified, sourced answer in seconds. The bottleneck disappears. The gatekeepers become force multipliers. And the questions people never asked because they were too small or too inconvenient? Those finally get asked too.

Where AirQuery works

Built for every business that runs on data.

Eight industries, same platform. Same Thinkbox harness, same Deterministic Answer Flow, same governed answer — tuned for the language and questions of your domain.

🛒
Retail & E-commerce
Merchants · Category · Store Ops
  • Which SKUs are out of stock across Midwest stores right now?
  • How is the new product line performing vs forecast?
  • Top 20 customers by lifetime value in Q3?
Impact: Faster reorders, lower stockouts, sharper category P&L.
💻
SaaS & Technology
Growth · Product · Customer Success
  • What feature usage in week 1 predicts an upgrade?
  • Which accounts are at churn risk this month, and why?
  • Compare NPS by customer tenure cohort.
Impact: Activation up, churn down, expansion plays better targeted.
🏦
Financial Services
Risk · Finance · Retail Banking
  • Loan default rate by credit tier last quarter?
  • Net interest margin by region this month?
  • Top deposit customers by AUM growth?
Impact: Risk officers and relationship managers self-serve without waiting on quants.
🏥
Healthcare
Operations · Clinical Leadership · RCM
  • Average length of stay by service line this quarter?
  • Claims denial rate by payer over the last 90 days?
  • Bed utilization by unit this week?
Impact: Faster operational decisions; HIPAA-compliant access for caregivers and admins.
🏭
Manufacturing
Plant Managers · Supply Chain · Quality
  • OEE by line on this shift compared to last week?
  • Top SKUs at risk of stockout in the next 14 days?
  • Defect rate by supplier YTD?
Impact: Plant floor to executive suite, asking the same questions and getting the same numbers.
🛡
Insurance
Actuarial · Underwriting · Claims
  • Loss ratio by line of business this period?
  • Average claim cycle time by region and severity?
  • Premium leakage by agent / agency?
Impact: Underwriting and claims teams ask portfolio questions without filing a BI ticket.
🎬
Media & Entertainment
Programming · Growth · Ad Sales
  • Subscriber churn by content cohort last month?
  • CPM by ad placement type and daypart?
  • Engagement of top 10 shows by demo segment?
Impact: Programming and ad-sales decisions made in meetings, not memos.
🚚
Logistics & Transportation
Fleet · Operations · Customer Service
  • On-time delivery rate by lane this week?
  • Empty-miles percentage by driver region?
  • Top customers by shipment volume growth YoY?
Impact: Dispatchers and operators react to today's conditions, not last week's report.

Don't see your industry? AirQuery's harness is domain-neutral — bring your data, your metrics, and your ontology, and the same agent works for your world.

The workflow change

From a ticket queue to a conversation.

The transformation isn't subtle. The same question that used to take three days to answer through a BI request takes thirty seconds in a Slack thread.

Before NLQ ~3 days
01
Question comes up in a meeting. Someone says "let's get the data."
02
BI ticket filed. Sits in the backlog behind 47 others.
03
Analyst writes SQL. Joins three warehouses. Asks the requester three clarifying questions.
04
Dashboard delivered. The original meeting was last Tuesday. The decision was already made.
05
Dashboard abandoned. Used once, never opened again. Joins the dashboard graveyard.
With AirQuery NLQ ~30 sec
01
Question comes up in a meeting. Someone @airquerys it in the channel.
02
DAF runs. Bounded context, verified metrics, compiled plan, audit trail.
03
Answer in seconds. Chart, narrative, source, confidence score.
04
Decision made in the same meeting. Follow-up questions asked and answered in real time.
05
Pinned for posterity. Same question next quarter? Same answer. Same audit trail.
What changes when everyone can ask

Speed, ownership, and a culture of curiosity.

Democratizing data access isn't just a productivity win. It changes how a company thinks.

Decisions at conversation speed

Questions answered while the discussion is happening — not three days later. The meeting that used to end with "let's get the data" now ends with a decision.

Analysts as force multipliers

Instead of writing the same SQL 100 times, the data team builds the Thinkmap once — and every employee can leverage it. Analysts shift from query monkeys to true partners.

Every employee owns their numbers

When anyone can verify a claim, "I think X" gets replaced with "I checked, X." Confidence and accountability rise together.

Same answer, every team

Finance, Sales, and Ops finally agree on what a number means — because they all draw from the same verified, HI-signed Thinkmap. No more reconciliation meetings.

A learning culture

When asking costs zero, people ask more. They learn more. They notice problems sooner. Curiosity stops being a luxury.

No more dashboard graveyard

Answers are generated on demand instead of built once and abandoned. The Liveboards that do get pinned are the ones people actually use.

Why data-driven companies win

Outperformance is not an accident.

Decades of research from MIT, McKinsey, and Harvard Business Review keep finding the same pattern: organisations with high analytics adoption grow faster, improve margin faster, and adapt to market shifts faster than peers without that capability. The bottleneck has never been the data — it's been access to it. Remove the bottleneck and the operating tempo changes.

01

Faster decision cycle

Decisions made on the same day a question is raised — with the data in the room, not behind it. The org learns to operate at conversation speed.

02

Better experimentation

When checking the result of a change costs seconds instead of days, teams run more experiments and ship more improvements. The flywheel turns faster.

03

Less politics, more truth

"The highest paid person's opinion" loses weight when anyone in the room can verify a number in ten seconds. Data wins arguments. Titles don't.

04

Compounding advantage

Once data fluency is the default, every new hire absorbs it. Every meeting raises the floor. The advantage compounds quietly, year after year.

Make every team a data team.

Bring your warehouse. We'll bring the Thinkbox harness, the Deterministic Answer Flow, and the Wise App. Your business users start asking and answering their own questions on day one.

Get Started Free See the Wise App