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Business Analytics AI

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The pain

Finance exports one file, operations exports another, and management waits three days for a reconciled report that is already outdated by the time it arrives.

The result

The CEO asks. For connected, agreed metrics, the answer can arrive in 30 seconds, not in three days.

How it works

The system connects to your existing data sources and builds a single, queryable view across departments and projects. Once the sources and definitions are agreed, routine questions do not need a new manual export or reconciliation each time. Leadership asks in plain language and receives an answer drawn from connected business data.

  1. Frame the decision

  2. Reconcile the inputs

  3. Review the answer

Scope, savings and a working example

A working example

The CEO needs last month's net margin across all 40 projects. Finance sends a file Thursday. It covers data up to last Wednesday. The decision has to wait another week.

Finance, operations, and project teams export separate files, reconcile numbers by hand, and produce a report that may already be outdated when management finally sees it. Important decisions wait on the next report cycle.

Measured impact

  • Selected reporting processes: from days to minutes
  • Less manual reconciliation across disconnected spreadsheets
  • Faster access to cross-project context for decisions

The measured improvement applies to selected reporting workflows. Not every report or decision is automated; the scope is defined together before launch.

What the system handles

  • Refresh approved data connections
  • Prepare recurring report views
  • Flag missing or conflicting data

What your team controls

  • Approve financial interpretations
  • Validate strategic recommendations
  • Control access by role and entity

Best fit: Business groups · Real estate portfolios · Finance teams · Project organisations

Reference: Nuanu Creative City, Bali, a portfolio of 40+ businesses and projects. The CEO queries the system directly about profit, loss, and performance. Client name disclosed with permission.

Try the workspace

Ask about the reporting period. Compare revenue and costs, explore a project, then inspect the sample records.

Open full screen
FableLabs finance preview

Business intelligence

Sample data
Sample answer ready
September 2026 / All businessesFinance ledger

Why did profit change?

€63,000Profit−€10,000 · Compared with August

Revenue changed by +€6,000, costs by +€16,000, and profit by −€10,000. The ledger shows this difference, not its operational cause.

Posted revenue
€184,000
Costs
€121,000
Profit
€63,000
Revenue, costs and profit
September 2026AugustEUR
€184,000Posted revenue€178,000
€121,000Costs€105,000
€63,000Profit€73,000
Profit: €73,000 → €63,000
What changed the profit
Revenue increase
+€6,000
Cost increase
+€16,000
Profit change
−€10,000
Business breakdown
September 2026 · EUR
BusinessProfitChange
€28,000−€4,000
€21,000−€4,000
€14,000−€2,000
Inspect sample records
Monthly finance ledger

Fictional monthly aggregates prepared for this demo. Revenue minus costs equals profit; these are not bank balances or verified client records.

Sample close date
Reporting period
September 2026
  • Harbour VenuePosted revenue: €82,000; Costs: €54,000; Profit: €28,000.Sample record: 2026-09-harbour
  • Garden RetreatPosted revenue: €62,000; Costs: €41,000; Profit: €21,000.Sample record: 2026-09-garden
  • Studio WorkshopsPosted revenue: €40,000; Costs: €26,000; Profit: €14,000.Sample record: 2026-09-studio
What to check next

Review delivery invoices and staffing changes before attributing the increase to a specific cause.

Downloads the selected period and business as a CSV.
Interactive sample

How would this work for your business?

Tell us about your current process. We’ll map the right setup around your tools and agree on a focused pilot.

Discuss this solution
Product walkthrough: Business Analytics AI
Download MP4

English interface. Recorded from this working prototype with fictional data. No live business connections. Silent walkthrough.