Business users ask in plain language. Agents query the semantic layer. Role-based access is enforced. And every step - from question to metric to warehouse - is logged, traceable, and auditable. Quaeris makes AI analytics transparent.
Prompt-level auditEvery question logged - exact text, user, timestamp
Metric-to-table lineageClick any number to see full chain of custody
Query-time enforcementRole policies applied at execution - not just the UI
Exportable for SOX & compliance workflowsCompliance-ready audit reports on demand
Quaeris writes a tamper-evident, compliance-ready audit trail for every governed analytics event - from the natural-language question to the certified source row.
Every question, answer, access grant, and denial is written to an append-only log the moment it occurs. Nothing is retroactively altered - giving auditors a forensic-quality timeline they can trust.
Quaeris resolves every metric to its warehouse origin - table, column, filter applied, and the semantic definition used - so stakeholders know exactly what they are looking at and why the number is trustworthy.
When Quaeris enforces a data-access policy, it records not just the outcome but the rule that triggered it - giving compliance teams an auditable decision trail that satisfies SOX control-activity evidence requirements.
One-click export bundles the event log, lineage graph, and access-decision trail into a structured, auditor-ready package - no manual report assembly, no last-minute scrambles before the audit window closes.
Most AI analytics platforms are black boxes. Compliance officers, data leaders, and auditors are left without evidence when questions arise.
Most AI analytics platforms treat agents as black boxes. You see an answer - but not the reasoning, not which metrics were queried, not whether the user had access to that data.
Quaeris logs every agent step. The system records which business rules were applied, which semantic layer definitions were used, and whether row-level access controls permitted the result. No hidden reasoning.
Compliance teams need proof of which numbers came from which tables, which business rules generated them, and who approved those rules. Standard BI tools show a dashboard - not the provenance.
Every Quaeris answer surfaces the exact metric definitions it used. Traces back to the semantic layer version, the data table, the transformation rules, and the owner approval. Click any number and see the full chain.
Role-based access on dashboards is a filter - a UI layer. Executives can screenshot restricted data or pivot on unintended dimensions. Governance theater doesn't satisfy auditors.
Quaeris enforces access at query time. Role policies are applied when the agent executes - not when the user views the result. Users cannot see data their role forbids, period. And every query attempt is logged.
When a number in the boardroom turns out to be wrong, compliance needs to know: who asked? when? with what intent? which model assumptions did they use? Standard analytics tools have no answer history.
Quaeris maintains a complete audit log of every question asked - by whom, when, which data they accessed, which metrics were returned, whether they're supposed to see it. Searchable, timestamped, exportable for compliance workflows.
Four steps. Every query. Logged automatically, with zero instrumentation required from your team.
When a user types "Revenue vs. plan by region," Quaeris records: the exact text, the user's identity, the timestamp, their role/team, and the warehouse they're querying. The question enters the audit log immediately - before the agent even processes it. No guessing what was asked. No reconstructing intent from logs.
Learn about prompt auditThe agent translates the plain-language question into SQL against the semantic layer. Quaeris logs: the generated SQL, which semantic layer definitions were consulted, which business rules were applied, and the query execution time. If the agent needed to make assumptions - "revenue" → the Booked Revenue metric, not Pipeline Revenue - those assumptions are logged and surfaced.
Explore the semantic layerBefore the query runs, Quaeris evaluates the user's row-level security policies against the warehouse. The system logs: which rows the user requested, which rows their role permits, and whether the query was allowed or denied. If allowed, which row-level filters were applied. Every access decision is auditable - compliant auditors can verify that a director-level user never saw frontline-employee data.
See access control in actionThe agent returns the answer to the user. Quaeris logs: the result set, the execution time, the user's response (did they refine the query?), and a complete chain of custody. Every number in the answer is clickable - users can trace "Revenue = $2.4M" back to the exact metric definition, the table query, the transformation rules, and the owner certification. Auditors can download the full provenance report for any answer.
View an audit reportEvery interaction, every access decision, every metric used - logged in real time. This is an illustrative mockup of the Quaeris audit log UI.
| Timestamp | User | Question | Status | Metrics Used | Data Access | Time |
|---|---|---|---|---|---|---|
| 2026-06-12 14:32:18 | A. RiveraHead of Analytics | Revenue vs. plan by region | Allowed | Booked Revenue, Plan Amount, Regional Sales Org | Region IN ['US', 'EMEA'] | 1.4s |
| 2026-06-12 14:28:03 | M. OkaforFinance Manager | Commission accrual forecast | Allowed | Accrual Rate, Headcount Forecast | Department = 'Sales' | 2.1s |
| 2026-06-12 14:15:44 | T. BrandtSales Rep | Churn by contract value | Denied | N/A | Access denied: Strategic Contracts restricted | - |
| 2026-06-12 14:12:09 | K. NguyenSales Director | Pipeline by stage and manager | Allowed | Pipeline Weighted, Stage Duration | Manager IN [own team] | 0.9s |
| 2026-06-12 14:09:55 | P. HartmannCFO | Explain why MRR dropped YoY | Allowed | MRR, Expansion, Churn, Discount Rate | Warehouse filtering per role | 3.2s |
Illustrative live audit log - for demonstration only. Real deployments log millions of interactions per month, all queryable and exportable.
Built into the platform. No configuration required. Every feature is logged automatically from the first query.
Every query enforces the user's role policies. Access decisions are logged. Users cannot see data their role forbids - enforced at query execution, not just the UI.
Every question asked is logged with timestamp, user, intent, and outcome. Searchable audit log - compliance teams can answer "Who asked about customer churn?" in seconds.
Every answer traces back to metric definitions, business rules, source tables, and transformations. One click: see the full chain of custody for any number.
Quaeris logs which specific rows each user accessed, which rows were filtered out, and why. Row-level security is auditable - not just a dashboard filter.
Generate timestamped, signed audit reports for compliance workflows. SOX and EU AI Act ready; HIPAA controls on our roadmap - format the report to match your audit requirements.
Denied queries are logged as thoroughly as allowed ones. Compliance teams see every attempt to access restricted data - and proof it was blocked.
Governance requirements differ by role and regulation - but the underlying need is the same: proof that AI analytics is controlled, traceable, and compliant.
Auditors need to trace every number in board materials back to source data. Quaeris gives you: question, assumption, metric, table, owner certification, access control. Satisfy auditors without blocking analytics velocity.
Read the SOX guideData leaders own the semantic layer. Quaeris audit logs show you which metrics each question used, which business rules applied, and which users accessed sensitive metrics. Governance becomes visible, not theoretical.
Learn about semantic lineageEU AI Act requires audit trails for high-risk AI. GDPR requires data-access logging. Quaeris logs every query at the row level. Prove compliance with automated audit exports.
See the EU AI Act checklistSensitive industries need to prove that AI agents respect access controls. Quaeris enforces role-based access at query time and logs every access attempt. Healthcare and insurance teams can deploy agentic AI without audit risk.
View the HIPAA readiness guideNot all audit trails are equal. Compare how Quaeris's governance-by-design approach differs from incumbent BI and competing AI analytics platforms.
| Capability | Quaeris | Tableau | Power BI | Looker | ThoughtSpot | Sigma | Domo |
|---|---|---|---|---|---|---|---|
| Question logging | Per-user, full text, timestamped | Dashboard usage only | Per-user, limited | Query audit limited | Search token logging | Basic activity log | Basic activity log |
| Metric-to-table lineage | Auto-surfaced per answer | Dashboard-level only | Model-level, not answer | LookML dependencies | Worksheet-level | Basic lineage | Basic lineage |
| Row-level access enforcement | Query-time enforcement | Filter-based (UI layer) | Model & RLS | LookML RLS | Search-token scoped | Dashboard-level | Access model |
| AI reasoning logged | SQL, assumptions, rules | N/A (no AI) | Copilot actions hidden | Conversational logs limited | Reasoning opaque | Agent steps hidden | AI opaque |
| Access denial audit trail | Full logging | Not logged | Logged, limited | Not clearly logged | Not transparent | Not transparent | Not transparent |
| Exportable compliance reports | SOX / EU AI Act ready; HIPAA on roadmap | Manual export only | Manual export only | Manual export only | Manual export only | Manual export only | Manual export only |
| Warehouse-native logging | Warehouse queries logged | Cloud-based, query-hidden | Cloud-based, hidden | Cloud-based, hidden | Elastic-based | Cloud-based, hidden | Cloud-based, hidden |
Comparison based on publicly available documentation as of Q2 2026. Actual capabilities vary by product version and deployment model. Consult your vendor for current feature availability.
Everything compliance officers, data leaders, and auditors ask before deploying Quaeris in a regulated environment.
