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AutoSheet Enterprise

4.8

Free

Users praise the tool for its enterprise-grade security and the ability to handle massive datasets that typically crash standard AI add-ons.

Unified AI orchestration for high-volume spreadsheet workflows and predictive data engineering.

BusinessFree pricingAPI availableUpdated 2026-03-17

Best fits

Semantic Data NormalizationPredictive Time-Series Forecasting

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AutoSheet Enterprise interface

About AutoSheet Enterprise

AutoSheet Enterprise represents the 2026 pinnacle of spreadsheet-based business intelligence, transitioning from simple LLM cell functions into a fully autonomous data orchestration layer. Its architecture is centered around a proprietary Semantic Mapping Engine that converts cell ranges into multi-dimensional vector embeddings, allowing users to execute complex queries across massive datasets using natural language with high precision. Unlike basic AI add-ons, the Enterprise version utilizes a multi-agent framework where specialized LLMs handle discrete stages of the data lifecycle: one agent for schema mapping, another for anomaly detection, and a third for predictive regression modeling. Engineered for the SOC2-compliant modern enterprise, it offers 'Bring Your Own Key' (BYOK) capabilities for Azure OpenAI and Anthropic clusters, ensuring sensitive financial data remains within the organization's secure perimeter. The 2026 roadmap introduces the 'Live-Data-Mesh'—a real-time bridge that treats Snowflake, BigQuery, and Databricks tables as native sheet ranges without requiring manual SQL. This allows non-technical analysts to build complex data pipelines, automated ESG reporting systems, and real-time inventory dashboards within the familiar spreadsheet interface, effectively democratizing data engineering across the organization.

Core Capabilities

AutoSheet Enterprise represents the 2026 pinnacle of spreadsheet-based business intelligence, transitioning from simple LLM cell functions into a fully autonomous data orchestration layer.

Main Tasks

Use Cases

Supply Chain Demand Forecasting

Manual forecasting is prone to human error and ignores external market volatility.

VIEW EXECUTION STEPS

1.

Connect historical sales sheet to the AutoSheet Predictive Engine.

2.

Trigger external weather and shipping delay API integrations.

3.

Generate a 12-month forecast using the 'Forecasting Agent'.

4.

Auto-update reorder points in the ERP via Webhook.

Automated Financial Auditing

Auditors spend weeks finding anomalies in million-row transaction logs.

VIEW EXECUTION STEPS

1.

Import raw transaction CSV into the Secure Sandbox.

2.

Run the 'Anomaly Detection Agent' to flag outliers (Z-score > 3).

3.

Generate natural language justifications for each flag based on company policy.

4.

Export a summary PDF report for stakeholders.

Sales Lead Enrichment

Incomplete CRM data leads to poor conversion rates.

VIEW EXECUTION STEPS

1.

Input a list of company domains into Column A.

2.

Use the 'Enrichment Agent' to scrape LinkedIn and Crunchbase for headcounts and funding.

3.

Categorize leads into ICP (Ideal Customer Profile) tiers automatically.

4.

Sync enriched data back to Salesforce.

HR Sentiment Analysis

Large-scale employee surveys are too dense to summarize manually.

VIEW EXECUTION STEPS

1.

Paste open-ended survey responses into the sheet.

2.

Apply the 'Sentiment Agent' to score each response from -1 to +1.

3.

Group responses by department to identify localized management issues.

4.

Generate a thematic summary of key complaints and praise.

ESG Reporting Automation

Collecting energy data from multiple facilities for compliance is fragmented.

VIEW EXECUTION STEPS

1.

Connect utility bill OCR data to a centralized master sheet.

2.

Map kwh to CO2 equivalents using the 'Conversion Agent'.

3.

Calculate annual footprint against targets.

4.

Auto-fill the standardized ESG disclosure template.

Inventory Reorder Optimization

Stockouts or overstocking due to disconnected inventory sheets.

VIEW EXECUTION STEPS

1.

Live-link current stock sheets with real-time sales velocity.

2.

Set 'Agentic Alerts' for when stock falls below 15% of demand lead-time.

3.

Draft purchase orders in the sheet for human approval.

4.

Send approved POs to vendors via email integration.

Legal Contract Summarization

General Counsel needs to extract key dates/terms from hundreds of vendor sheets.

VIEW EXECUTION STEPS

1.

Upload PDF contracts to the AutoSheet Document Parser.

2.

Extract 'Renewal Dates' and 'Liability Limits' into a structured grid.

3.

Highlight 'Non-Standard' clauses that deviate from the company's master agreement.

4.

Set calendar reminders for upcoming renewal deadlines.

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