Connected spreadsheet analysis and reporting workspace

Reduce manual spreadsheet work while keeping analysis evidence-backed and reviewable. For analysts and finance teams working with large or connected datasets, convert permitted files, database connections and app data into reviewer-approved analysis and reports linked to source records. The benefit is a testable hypothesis, measured through accepted reports per analyst hour and corrections after report approval; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted files, database connections and app data, then follow this sequence: 1. Load large datasets into a spreadsheet layout. 2. Connect external databases and apps for synced data. 3. Extract data from PDFs, Excel files, CSVs and images. Resolve uncertain cases with qualified reviewers, approve reviewer-approved analysis and reports linked to source records, and measure accepted reports per analyst hour and corrections after report approval against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Final figures, reconciliations and reporting decisions remain analyst and finance review. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve data provenance, source attribution, calculation accuracy and usage permissions. Analysts and finance owners approve substantive changes and reporting scope. One approved file and connection set; final figures, reconciliations and reporting decisions remain analyst and finance review. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved file and connection set; final figures, reconciliations and reporting decisions remain analyst and finance review. Implement one approved input format, a bounded representative case set and the first two task modules: load large datasets into a spreadsheet layout; connect external databases and apps for synced data. Support the third module with operator review: extract data from PDFs, Excel files, CSVs and images. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Client-owned files, authorized database connections and permitted app data. Cloud storage, spreadsheet import/export and reporting destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Data connection and import, Editable analysis workspace, Report and delivery. Use a thumbnail gallery for datasets and reports, a large central spreadsheet canvas, and a right-hand panel for sources, formulas and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant cell or chart. Make the task-specific outcome reviewer-approved analysis and reports linked to source records visible beside its evidence, review state and value baseline.