Analyze data, generate formulas, clean tables, and create forecasts with i10X’s intelligent spreadsheet agent—built to make everyday reporting and advanced analysis faster for teams, students, and business users.
i10X cut campaign reporting from six hours across three tools to about 45 minutes—we reclaimed a full workday every week.
Hours saved weekly~8 hrs
Sarah Chen
Marketing Manager
After i10X, we dropped two paid add-ons and still forecast cash flow three times faster with far fewer formula errors.
Faster cash-flow forecasts3x
Marcus Rivera
Finance Analyst
Inventory forecasts that took our team two full days now finish before lunch—one AI spreadsheet replaced our multi-tool stack.
Faster inventory forecasts2 days → <4 hrs
Priya Okonkwo
Operations Director
Что агент может сделать для категории «Офис и производительность»
Один Superagent и специализированные субагенты для каждой задачи.
You tell i10X what you need, from formulas and cleanup to forecasts, dashboards, or reports.
2
Connect Your Data
You upload a file or link sources; i10X maps columns, checks quality, and confirms context.
3
Let i10X Build
You approve the plan; i10X generates formulas, analyses, charts, and automations in your spreadsheet.
4
Review And Refine
You review results, request changes in plain language, and i10X improves outputs until they fit.
Кому это подходит
Создано под конкретные задачи, которые люди решают каждый день.
Financial Analyst
Задачи, которые берёт на себя агент
Builds budget, cash-flow, and revenue forecast models from raw spreadsheet data.
Generates formulas, pivot tables, and variance analyses from natural-language requests.
Cleans inconsistent exports and flags unusual numbers before reports are shared.
Turns monthly financial data into charts and executive-ready summaries.
Результат: Financial reporting stops feeling like a formula marathon; analysts spend more time interpreting performance and less time rebuilding models.
Sales Operations Manager
Задачи, которые берёт на себя агент
Combines CRM exports, quota sheets, and pipeline data into one usable view.
Creates pipeline, win-rate, territory, and rep-performance dashboards automatically.
Detects stalled deals, forecast gaps, and unusual sales trends.
Drafts weekly sales update summaries from spreadsheet results.
Результат: Sales operations gets a cleaner pipeline picture faster, so forecast meetings focus on action instead of spreadsheet reconciliation.
Marketing Analyst
Задачи, которые берёт на себя агент
Consolidates campaign data from ads, email, web analytics, and CRM spreadsheets.
Calculates CAC, ROAS, conversion rates, cohort performance, and channel trends.
Builds audience segments and highlights campaigns that need optimization.
Creates visual performance reports for stakeholders without manual chart building.
Результат: Campaign reporting moves from manual number gathering to rapid insight, giving marketers more room to optimize spend and messaging.
Operations Manager
Задачи, которые берёт на себя агент
Tracks inventory, capacity, staffing, delivery timelines, and project progress in spreadsheets.
Forecasts demand and resource needs from historical operational data.
Flags bottlenecks, missing updates, stock risks, and schedule exceptions.
Generates operational dashboards and recurring status reports.
Результат: Operational decisions become easier to make before problems escalate, with risks, delays, and capacity gaps surfaced automatically.
Small Business Owner
Задачи, которые берёт на себя агент
Organizes sales, expenses, inventory, invoices, and customer lists into clear spreadsheets.
Creates simple cash-flow forecasts, pricing comparisons, and profit summaries.
Answers business questions in plain language without requiring advanced formulas.
Builds lightweight dashboards for daily decisions and investor or lender updates.
Результат: Owners get a finance-and-operations assistant inside their spreadsheets, freeing evenings from manual admin and guesswork.
Data Analyst
Задачи, которые берёт на себя агент
Transforms messy spreadsheet data into structured tables ready for analysis.
Generates complex formulas, lookups, summaries, and reusable analysis workflows.
Finds anomalies, correlations, trends, and forecast opportunities across datasets.
Produces charts, explanations, and stakeholder-friendly insights from technical analysis.
Результат: Analysis cycles shrink from hours to minutes, letting data teams deliver more insight without becoming everyone’s spreadsheet help desk.
Superagent против отдельных инструментов
Возможность
Superagent
Отдельные инструменты
Setup and onboarding
One workspace can connect data sources, AI analysis, reporting, and agent workflows without rebuilding the process across separate apps.
Each spreadsheet add-on, automation tool, dashboard, and AI assistant usually needs separate setup, permissions, and testing.
Number of tools to manage
Combines spreadsheet-style analysis, AI assistance, workflow execution, and reporting in a single platform layer.
Teams often stitch together spreadsheets, AI formula tools, BI dashboards, automation platforms, and integration connectors.
Cross-channel data consistency
Uses shared connected data and reusable workflows so the same inputs, definitions, and outputs can be applied across teams and channels.
Data can diverge when each tool stores its own copy, uses different field mappings, or relies on manual imports and exports.
Automation coverage
AI agents can move beyond generating formulas or summaries to trigger multi-step actions such as data cleanup, report creation, follow-ups, and handoffs.
Most tools handle one narrow task well, such as formula generation, charting, or forecasting, but require other apps for end-to-end execution.
Cost and governance
Centralized permissions, usage visibility, and fewer vendor contracts make spend and access easier to audit.
Costs and access are spread across multiple subscriptions, add-ons, API usage fees, and admin consoles.
Примеры рабочих сценариев
Реальные промты, которые можно скопировать в агента выше.
Free AI Spreadsheet Tool Finder as JSON Array
Act as an AI spreadsheet consultant. I need to choose the best free AI spreadsheet option for my use case. Return your answer only as a valid JSON array. Context: I am a [student/small business owner/analyst/team lead]. My data size is [number of rows/columns]. My main goals are [natural language querying, automated formulas, visualization, forecasting, reporting, collaboration]. My required integrations are [CRM/API/database/cloud storage/none]. My security needs are [low/medium/high; include GDPR/SOC/access controls if relevant]. Budget: free only, but mention upgrade triggers. Create a comparison framework without naming specific products unless I ask. For each recommended option category, include: category_name, best_for, free_tier_fit, key_ai_features, limitations, security_notes, setup_steps, sample_natural_language_prompts, and final_recommendation_score from 1-10.
A JSON array that helps the user evaluate free AI spreadsheet options by need, feature fit, limitations, security requirements, setup steps, and upgrade triggers—without overwhelming beginners or relying on named tools.
Free AI Spreadsheet Forecasting Workflow as JSON Array
Act as a free AI spreadsheet workflow designer. Build a complete forecasting workflow that I can run in an AI-enhanced spreadsheet. Return your answer only as a valid JSON array. Business problem: forecast [sales/cash flow/inventory demand/project workload] for the next [time period]. Available columns: [date, product, region, units_sold, revenue, cost, campaign_spend, stock_level, etc.]. Data frequency: [daily/weekly/monthly]. Known business events: [seasonality, promotions, holidays, market changes]. I need beginner-friendly instructions using free or low-cost spreadsheet AI features. Include: data_preparation_steps, AI_formula_requests, suggested_formulas, natural_language_queries_to_ask, forecast_method, validation_checks, anomaly_detection_steps, visualization_plan, risk_warnings, and final_decision_recommendations.
A JSON array that turns raw spreadsheet data into a practical AI-assisted forecasting workflow, including preparation, formula prompts, validation, anomaly checks, charts, and decision-ready recommendations.
Free AI Spreadsheet Data Cleaning & Dashboard Builder as JSON Array
Act as an AI spreadsheet automation expert. I have a messy dataset and want to clean it, analyze it, and create a simple dashboard using free AI spreadsheet capabilities. Return your answer only as a valid JSON array. Dataset description: [describe dataset]. Columns: [list columns]. Known data issues: [duplicates, missing values, inconsistent dates, wrong categories, outliers, formatting problems]. Business questions: [list questions]. Audience: [executives, operations team, finance team, students]. Create a step-by-step workflow using natural language AI prompts, generated formulas, pivot tables, and charts. Include: cleaning_tasks, duplicate_handling, missing_value_strategy, formula_generation_prompts, pivot_table_plan, chart_recommendations, dashboard_layout, quality_checks, automation_ideas, and final_insights_template.
A JSON array that guides the user through cleaning messy spreadsheet data, generating formulas with AI, building pivot tables, designing a dashboard, and producing reliable insights from a free AI spreadsheet workflow.
Справка
Другие инструменты в этой области
Отдельные решения, закрывающие часть этого сценария. Агент выше справляется со всеми ними в одном диалоге.