Regional Financial Services Firm
Financial Services"Reduced ad-hoc analytics requests to the data team by 80–87% while expanding self-serve access - without relaxing governance controls."
87%Request reduction
240Certified metrics
3 wksTo deploy
Real proof
Trusted by enterprise
data leaders.
See how companies in finance, insurance, healthcare, and retail deployed governed AI analytics - and got results in weeks, not months.
How data leaders at enterprise companies use Quaeris to answer faster
How they wonThree problems.
Three problems.
Three decisive outcomes.
Enterprise data leaders solve the same three problems with Quaeris. Here's how.
Step 01 - Align teams
Unified metric definitions across 6+ regions.
Before: conflicting revenue definitions in Tableau, Excel, and dbt. After: one Quaeris semantic layer, one number everywhere. The board no longer debates reconciliation.
1 source of truth200+ certified metrics3× analyst capacity
See the case study →Metric unification · revenueCertified
Board reconciliation time: 0 days
Step 02 - Answer faster
Cut data-request backlog by 87% in the first 30 days.
Before: analysts drowning in ad-hoc requests, 3-day turnaround on simple questions. After: business users ask directly via Quaeris agents. Data team freed to focus on strategy.
20 min avg time-to-insight3× faster than tickets0% hallucinations
See the case study →Ad-hoc request volume↓ 87%
14 minAvg first answer
0%Hallucination rate
Step 03 - Trust direct access
500+ business users with self-serve, zero governance violations.
Before: only analysts could query; executives waited on reports. After: Quaeris role-based access enforced at query time, not dashboard filters. Every user sees exactly the slice of data they should.
500+ self-serve users0 access violationsRolled out in 3 weeks
See the case study →Role-based access · query-time0 violations
CFOAll regions · all metricsFull
Region LeadOwn region onlyScoped
AnalystAssigned metrics · no PIIFiltered
Enforced at query time - not dashboard filters
Customer storiesSix industries.
Six industries.
Six decisive deployments.
Each story shows how governed agentic analytics solved a real pain point - metric conflicts, slow answers, access bottlenecks - and freed data teams to focus on strategy, not tickets.
Read the story
B2B SaaS Company
B2B SaaS / RevOps"Cut time-to-insight from 3 days to under 20 minutes - with 0% hallucinated numbers across every governed answer."
14 minAvg first answer
0%Hallucination rate
2 wksTo deploy
National Retail Chain
Retail & eCommerce"Unified 6 regional teams on one certified metric definition - board reconciliation went from weeks to minutes."
1Source of truth
6Regions aligned
4 wksTo deploy
P&C Insurance Provider
Insurance"Built a governed AI agent for compliance-sensitive claims analytics - with full SOX/Gramm-Leach-Bliley audit trail on every answer."
100%Audit coverage
0Compliance violations
3 wksTo deploy
Industrial Manufacturer
Manufacturing"Connected Snowflake production logs to Document Agents for quality root-cause analysis - warehouse-native, no data pipeline redesign."
0Data migrations
8Sources unified
4 wksTo deploy
Academic Medical Center
Healthcare / Higher Ed"Deployed warehouse-native analytics with HIPAA controls on our roadmap in under 4 weeks - data never left their environment."
HIPAAControls on roadmap
0Data egress events
4 wksTo go live
Each story shows how governed agentic analytics solved a real pain point - metric conflicts, slow answers, access bottlenecks - and freed data teams to focus on strategy, not tickets.
Governed agentic analytics by the numbers.
Collective customer wins.
87%Reduction in ad-hoc data requests
Median across 4+ deployed customers
2–4 wksTo governance-ready deployment
Warehouse setup through first governed answers
0%Hallucinated numbers
100% of answers grounded in certified semantic layer
6+Industries actively deploying
Finance, insurance, retail, healthcare, manufacturing, construction
Customer voicesWhat data leaders say
What data leaders say
after they deploy.
From metric chaos to governed clarity - in their words.
"We'd been fighting over metric definitions for two years. Quaeris gave us a single place to certify them - and now every agent answer uses the same number. The board debates stopped."
"The lineage view alone justified the deployment. When our auditors asked where a number came from, we traced it in one click. That's never happened before."
"From 3-day turnaround to 14 minutes. My team stopped being a ticketing system and started doing actual analysis. That shift happened in week two of deployment."
"My team can see exactly what they should, nothing more. Role-based access at query time is a completely different security model than dashboard-level filters. Night and day."
"No data moved. No pipeline redesign. We connected to Snowflake, migrated our metric definitions, and had governed answers in production by day 14. The warehouse-native architecture was the deciding factor."
"We evaluated several search-based BI and AI analytics tools. Quaeris was the only one with a semantic layer that auto-learns from prompts. We didn't have to write every definition upfront."
"Connected in day one, governed answers in week two. I've never seen a platform go from warehouse connection to production that fast without a data migration."
"Everyone queries the same definition now. No more 'which number do you trust?' conversations in the board room. It's transformative for how we run leadership meetings."
"HIPAA compliance was non-negotiable. Warehouse-native meant our patient data never left our Azure environment. The governance controls were the only reason we could say yes to self-serve analytics."
"Our merchandisers ask questions directly now - no analyst in the middle. Agents surface margin anomalies before promotions go live. That's a capability we didn't think was possible outside a data science team."
How customers deployFrom warehouse to governed answers
From warehouse to governed answers
in 4 steps.
Every customer follows the same proven path. Here's what the first 30 days looks like.
Connect your warehouse
Quaeris integrates directly with Snowflake, BigQuery, Databricks, Redshift, or Azure Synapse. No data moves. Setup takes hours, not weeks.
Build the semantic layer
Your data team migrates certified metric definitions into Quaeris. Typical engagement: 120–300 metrics across revenue, product, finance, and ops. The layer auto-learns from prompts over time.
Activate agent interfaces
Roll out to business users and analysts. Access policies are enforced automatically at query time. First governed answers in production by day 14.
Scale across teams
Iterative expansion to finance, product, operations, and marketing. Feedback loop accelerates metric refinement. Typical run-rate by month 3 is 300–600 active users.
Industry outcomesGoverned analytics built
Governed analytics built
for your vertical.
Every industry has a different governance challenge. Quaeris solves each one with the same warehouse-native, semantic-layer approach.
Unified numbers across regional teams & business units.
Single source of truth for revenue, bookings, and margin. Every forecast uses certified metrics. Board reports reconcile in minutes, not weeks.
See finance use casesGoverned agent for compliance-first analytics.
Document + warehouse unified query. Claims data, policy terms, regulatory changes - all in one natural-language question. Full audit trail for SOX/Gramm-Leach-Bliley.
See insurance use casesReal-time margin & inventory signals across regions.
Merchandisers ask questions directly - no analyst middleman. Agents surface anomalies before promotions go live. Inventory aligned with demand.
See retail use casesWarehouse-native analytics with HIPAA controls on our roadmap.
Readmission rates, care quality, revenue cycle - governed agents answer at scale. Warehouse-native means data never leaves your environment.
See healthcare use casesRoot-cause detection across machines, materials, methods.
Connect warehouse data (production logs) with supplier documents and quality reports. Agents flag anomalies autonomously. Margins protected.
See manufacturing use casesMargin & schedule insights per project, per subcontractor.
Connect project financials, budget variance, and procurement docs. Agents surface margin erosion before it impacts the bottom line. Field teams stay in sync.
See construction use casesShare your experience
Reviews are on their way.
We're publishing our profiles on G2, Gartner Peer Insights, and Capterra. Be among the first to leave a review and help other data leaders make better decisions.
Customer questions
Questions our customers ask.
Most customers are live with governed answers in 2–4 weeks. Week 1 is warehouse integration and semantic-layer setup. Weeks 2–3 are user onboarding and access policy configuration. There is no data migration - your warehouse is the target.
Ready to deploy?Join the data leaders
Join the data leaders
deploying governed AI.
See your team's time-to-insight drop by 80%. In weeks, not months. Book a 30-minute demo with a solutions engineer.