Cross-FunctionalData & Analytics
Business questions. Answered from your own data.
Translates a plain-language business question into a query against your spreadsheets and data warehouse, and returns the number with the exact source table, file, or cell range cited. Built for teams tired of waiting on a data request queue for a number someone already has.
Every number cited to its source. Built on Sphere AI Foundry.
data_qa — query #DQ-20871LIVE
00:00Ingest → question: Q3 churn rate by regionread
00:02Query → Snowflake warehouse, churn_events tablepassed
00:03Cross-check → spreadsheet export flags 2% varianceflagged
00:05Reconcile → warehouse figure confirmed as source of truthpassed
00:06Answer → cited number returnedsealed
response time 6ssources checked 2/2analyst review optional
Organizations around the world trust us
Built on Sphere AI Foundry·Every number cited to source·21 years, 300+ clients
Ad-hoc data requests don't scale with team size
A single business question means someone either knowing which table has the answer, or filing a request and waiting for a data analyst to write the query — for a number that might take thirty seconds to pull once someone knows where to look. At low volume that's manageable. Across dozens of questions a week from a growing team, it's the reason analysts spend half their time on one-off lookups instead of real analysis.
83%
faster answer vs. a filed data request
2
sources cross-checked per answer, on average
100%
of numbers traceable to the source table, file, or query
Question in, cited number out
Four steps, every one logged and citable back to the source data.
01
Ingest
Reads the question directly from your systems
A plain-language business question, asked from Slack, a chat interface, or your BI tool. No SQL required.
Example query
"What was our Q3 churn rate by region?"
02
Query your data
Translates the question into a query against your data
The question is mapped to the relevant tables in your data warehouse or spreadsheet exports, and a query is run against the current data, not a stale extract.
Query
Querying churn_events table, Q3 2026, grouped by region
03
Cite every number
No number without a citation
Each figure links back to the exact table, file, or query it came from — the citation travels with the answer, not as a separate lookup.
Cited finding
Q3 churn rate: 4.2% overall, ranging from 2.8% (EMEA) to 5.6% (APAC).
cited to Snowflake warehouse, churn_events table, Q3 202604
Classify & route
One answer, flagged when sources vary
The agent returns a direct answer when sources agree, or flags a variance between sources (e.g., warehouse vs. spreadsheet export) for an analyst to resolve.
Classification
Answer confirmedAnswer — sources vary ✓Escalate to analyst
10 fields, every one cited
What the agent returns with every answer.
Answer summary & value
Source citation (table, file, or query)
Time period & filter context
Cross-source variance flag
Data freshness / last-updated timestamp
Related metric suggestions
Query definition (for reproducibility)
Confidence flag on ambiguous questions
Escalation recommendation
Analyst review checklist
Typical inputs
What the agent reads, and what it connects to.
Documents
- Spreadsheet exports (CSV/XLSX)
- Data dictionary or schema documentation
Systems
- Data warehouse (Snowflake, BigQuery, Redshift, etc.)
- BI / reporting platform
- Spreadsheet or file storage platform
Is this the right fit?
Built for a live data source — not a one-off spreadsheet.
✓ Works best for
- Teams fielding 20+ ad-hoc data questions a week
- Organizations standardizing on a single warehouse as source of truth
- Leadership wanting every reported number traceable to its source
Too small for
- A single one-off number an analyst can pull faster than configuring the connection
- Replacing an analyst's judgment on methodology for a novel metric
- Data that lives only in someone's head, with no table or file to query
Grounded in your data, not a black box
Compliance-first, the same standard every Sphere agent is held to.
The agent answers only from your connected data sources — it flags a variance rather than guessing when two sources disagree. Every answer sits between a question and however your team uses the number, never presented as ungrounded.
Answers reference the specific table, file, or query directly — the same audit-trail standard every Sphere agent on the Foundry is held to.
Prerequisites data sources connected
Your data warehouse or spreadsheet sources must be connected before the agent will answer with confidence.
Human review optional
An analyst reviews flagged variances between sources — direct answers with agreeing sources need no sign-off.
Source grounding query-cited
Answers reference the specific table, file, or query directly in every response.
Foundation Sphere AI Foundry
Access controls and audit trail configured here carry forward to every other agent you deploy.
Frequently asked
Does the Business Data Q&A Agent replace a data analyst?
No. It handles routine, well-defined lookups so analysts spend their time on real analysis instead — it flags anything ambiguous or methodologically novel for an analyst.
What data sources does it connect to?
Snowflake, BigQuery, Redshift, and common spreadsheet formats out of the box. Additional sources can be added during onboarding.
How does it integrate with our BI tools?
It reads directly from your data warehouse or BI platform, and can be reached from Slack or a chat interface — no SQL required from the person asking. Integration scope is confirmed during deployment planning.
Is every number actually traceable to a source?
Yes. Every answer cites the specific table, file, or query it came from — there is no number without a citation back to the source.
How is this different from a generic BI chatbot?
It's built specifically to cross-check multiple sources and flag disagreement rather than confidently returning whichever number it finds first. It runs on Sphere AI Foundry, so the access controls and audit trail configured here carry forward to other agents you deploy.
Hear from
our clientsHear from our clients
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
Ben Crawford
Senior Product Manager at Enova Financial
I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.
Mark Friedgan
CEO at CreditNinja
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
Arthur Tretyak
Founder and CEO at IntegraCredit
With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
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Start here
See it on your own data
Bring three real business questions to the demo. We'll show the answer live — the query, the citation, and the number, from your own warehouse.
Looking for a different workflow? Browse the full Agent Catalog.
Talk to a solutions architect
Direct to a senior architect — never a sales queue. Replies within one business day.
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