Slow Financial Close
Month-end close drags on for days. Data lives in ERP, spreadsheets, and email threads. Reconciling it manually burns your most senior team members.
Finance teams waste weeks reconciling numbers before board meetings. Quaeris locks metrics to a governed semantic layer - so every variance report, forecast, and ledger reconciliation queries the same certified definition. Auditable. Instant. True.
Audit-grade lineage Question to source in one click
Certified metrics only No hallucinated numbers in any report
Role-based access Controllers see actuals; managers see budget only
Role-gated data access Row- and field-level masking, enforced at query time
The CFO's office sits at the intersection of every business system. And yet most financial leaders spend more time reconciling conflicting spreadsheets than acting on insight.
Month-end close drags on for days. Data lives in ERP, spreadsheets, and email threads. Reconciling it manually burns your most senior team members.
Board decks, budget models, and variance reports all tell slightly different stories. Your last board meeting had three versions of the same gross-margin figure.
Auditors ask for lineage. Your team scrambles. Tracing a number back to its source across systems takes days and creates real exposure.
Every ad-hoc question goes through a small team of FP&A analysts. The queue grows. Decisions wait. Your best people spend their week pulling data instead of interpreting it.
Cash-flow models are built on last quarter's assumptions. By the time a risk surfaces in the numbers, the window to act has already closed.
Your ERP doesn't talk to your data warehouse. Your contracts live in SharePoint. Getting a unified financial picture requires a data engineer and three days.
Four capabilities built around how finance teams actually work. From audit-ready lineage to proactive cash-flow alerts.
Every financial query is sourced, permission-enforced, and traceable back to origin. When your auditors ask where a number came from, your team answers in seconds.
Ask "why did we miss forecast?" and get the drivers ranked, each tied to its GL account and certified metric definition - no two-day SQL sprint.
Track forecast accuracy in real time. See which assumptions drifted and where actuals diverged - before the quarter closes, not after.
ERP, data warehouse, and contracts queried together against one governed semantic layer - so every team works from the same certified number.
For regulated industries - banking, insurance, healthcare, financial services - open AI tools are a compliance risk CFOs cannot accept. Quaeris is different.
Deploy on your own Kubernetes infrastructure. Your financial data never leaves your network.
Finance users see only what they're authorized to see. Data-level permissions enforced at every query.
Every query, every answer, every data access is logged and traceable. PCI/DSS-ready by design.
Connect OpenAI, Anthropic, Google, or Meta. Switch models as the landscape evolves, no rebuild required.
QuaerisAI vs Open AI Tools
Every feature is designed for the audit, compliance, and reporting workflows that keep CFOs and controllers up at night.
Revenue, COGS, SG&A, EBT, tax provision and headcount - each defined once at the semantic layer and version-locked, so every team closes month-end on the same certified number.
GL ranges & versions reflect your chart of accounts at deployment.
Compare actual against budget, forecast, or prior year - sliced by GL account, cost center, or region. Drivers ranked and GL-cited in seconds, not a two-day SQL sprint.
Sourced from certified metric · opex_variance v2.1
Ask in plain English - "which departments exceeded budget by >10%?" - and get a ranked list with GL roots and the certified metric version behind every number.
Answered from certified metric · budget_query v1.4 · 0.6s
Every query carries a tamper-evident audit trail, role-based access, and lineage to source - so your next audit or regulator review is a lookup, not a two-week reconstruction.
Three finance workflows. Three instant answers.
Controller needs to reconcile budget vs actual across 12 GL accounts, 5 departments, in 3 currencies by EOD.
Uses Quaeris to query: 'Show me actual YTD spending by GL account, rolled to budget structure.' Gets an instant drill-down with GL posting dates, reversal journals, and accrual adjustments. Sources are cited.
Close completed in 2 hours instead of a 1-week ticket cycle.
CFO is presenting Q3 results to the board. Director asks: 'Why did gross margin compress 150 bps?' Needs an answer in the meeting.
CFO pulls up Quaeris. Asks: 'Show me gross margin variance drivers: COGS vs revenue.' Agent returns a breakdown: 60% from unfavorable COGS, 40% from mix shift. Each number cites the certified metric definition and GL reference.
Answer delivered in 60 seconds. Board gains confidence in the numbers.
FP&A manager needs to track forecast accuracy. Did July close match the June forecast? What drove the variances?
Asks Quaeris: 'Compare July actual vs June forecast by product line, show variance in dollars and %.' Gets instant rollup with drill-down by segment. Can export to Excel for monthly management pack.
Monthly forecast variance review automated. FP&A team can focus on drivers instead of data collection.
From manual reconciliation to instant query
Every answer cites certified metrics
vs. traditional ad-hoc query cycle
GL lineage, user, timestamp, role enforced
From controllers to CFOs, from regional finance to global FP&A.
"We had 15 definitions of 'revenue' across our GL, BI tool, and spreadsheets. Consolidating them into Quaeris's semantic layer was the first time everyone agreed. The board now sees the same number every time we report."
"Our auditors grilled us on revenue calculation variance between reports. Quaeris let us trace every number back to the GL in one click. Audit finding closed in the next meeting. That's never happened before."
"Month-end close used to take a week because we'd manually reconcile variance reports. Now, the CFO runs a single Quaeris query and has the full variance breakdown with GL lineage. Took 20 seconds."
"We set monthly forecasts in June, and I'd spend 3 days analyzing why July didn't match. Quaeris automated that. Now I can spot trends and forecast misses in real time. My FP&A role changed from data janitor to strategist."
"Giving business users analytics access always scared me-compliance risk. Quaeris's role-based controls mean an accounting manager only sees their GL accounts. Gives them speed without giving me heartburn."
"Global consolidation was always error-prone. Different entities would use different FX rates. Locked the rates into the semantic layer, and now every rollup uses the same conversion. Month-end reconciliation headache-solved."
Stop waiting on your data team. Start asking your data directly. Governed, auditable, and in plain English.
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