What you can build with BatchGenie
Explore common use cases and see how BatchGenie can automate data workflows that used to take days — with the accuracy and auditability your team demands.
Data Classification
Categorize thousands of records with consistent, auditable AI classification.
Replace manual tagging and rule-based systems that break on edge cases. BatchGenie processes your dataset through AI models that understand context, then verifies every result before it reaches your database.
Common examples
- Support ticket triage (priority, category, sentiment)
- Product catalog taxonomy assignment
- Document type classification for compliance
- Lead scoring and qualification
- Content moderation at scale
How it works
- 1Upload your dataset (CSV, Excel, or via API)
- 2Define your classification schema and categories
- 3Select your AI model and run the job
- 4Review auto-verified results and flagged items
- 5Export classified data or sync via webhook
Challenge
A growing SaaS company was manually triaging 3,000+ support tickets per week across 12 categories. Two full-time agents spent 80% of their time on categorization instead of helping customers.
Solution
Using BatchGenie, they automated ticket classification with Claude Sonnet. The AI assigns priority, category, and sentiment to each ticket. Auto-verification catches edge cases and flags low-confidence results for human review.
Results
“We went from two agents spending most of their day tagging tickets to processing the entire queue in minutes. The accuracy is better than what we were doing manually.”
— Head of Support Operations, B2B SaaS Company
Data Enrichment
Augment your CRM, lead lists, and databases with AI-generated insights.
Stop paying per-record fees for basic firmographic data. BatchGenie enriches your records with company details, market context, and custom attributes that off-the-shelf enrichment tools can't provide.
Common examples
- Company firmographic enrichment (size, industry, revenue range)
- Contact role and seniority classification
- Market intelligence and competitor mapping
- Product-market fit scoring for inbound leads
- Account research summaries for sales teams
How it works
- 1Upload your lead list or CRM export
- 2Configure enrichment fields and data sources
- 3BatchGenie processes records with web enrichment + AI
- 4Verification ensures data accuracy and completeness
- 5Sync enriched data back to your CRM
Challenge
A sales team of 15 SDRs was spending 30 minutes researching each prospect before outreach. With 200 new inbound leads per week, research bottlenecked the pipeline and leads went cold.
Solution
They built a BatchGenie workflow that enriches every new lead with company details, recent news, tech stack, and a personalized outreach angle — all generated by AI and verified for accuracy.
Results
“Our SDRs used to dread prospect research. Now every lead comes pre-loaded with context. The outreach quality went up and the time spent went way down.”
— VP of Sales, Mid-Market Sales Team
Content Transformation
Rewrite, translate, and optimize content across your entire catalog.
Whether you need SEO-optimized product descriptions, multi-language content, or brand-consistent copy, BatchGenie transforms content at scale while maintaining quality through automated verification.
Common examples
- SEO title and meta description generation
- Product description rewriting for marketplaces
- Multi-language translation with brand voice
- Content summarization for different audiences
- Tone and style standardization across catalogs
How it works
- 1Upload your content dataset with source text
- 2Define transformation rules, style guide, and examples
- 3BatchGenie processes each item with your chosen model
- 4AI verification checks for quality, tone, and accuracy
- 5Export transformed content or push via API
Challenge
An online retailer with 15,000 SKUs needed to rewrite all product descriptions for a new marketplace launch. Their copywriting team estimated 6 months of work. They had 6 weeks.
Solution
BatchGenie processed the entire catalog in batches of 500, generating SEO-optimized descriptions that followed the marketplace's style guidelines. Each description was auto-verified against quality rules and spot-checked by AI.
Results
“What would have taken our team half a year was done in a weekend. And the quality was consistent across all 15,000 products — something we could never achieve manually.”
— Director of E-Commerce, E-Commerce Retailer
Data Extraction
Pull structured data from documents, emails, and unstructured text.
Turn unstructured information into clean, structured data. BatchGenie extracts fields from invoices, contracts, resumes, and any document type with AI-powered parsing and validation.
Common examples
- Invoice data extraction (vendor, amount, line items, dates)
- Resume parsing for ATS systems
- Contract clause identification and extraction
- Email parsing for order details
- Survey response categorization and extraction
How it works
- 1Upload documents or paste unstructured text
- 2Define the output schema (fields to extract)
- 3AI processes each document and extracts structured data
- 4Validation rules check for required fields and format
- 5Download structured output or send via webhook
Challenge
A mid-size accounting firm processed 2,000+ vendor invoices monthly. Staff manually entered vendor name, invoice number, line items, amounts, and due dates into their ERP — averaging 4 minutes per invoice.
Solution
They set up a BatchGenie extraction pipeline that processes scanned invoices through GPT-4o. The system extracts all required fields, validates amounts against line item totals, and flags mismatches for human review.
Results
“The extraction accuracy surprised us. We expected to review everything, but after the first month we realized 99% of invoices were processed perfectly. Now we only review the flagged ones.”
— Operations Manager, Accounting Firm
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