AI Pipelines That Process Unstructured Documents, Inquiries & Repetitive Workflows
High-value employees are burning 20+ hours a week manually reading invoices, answering repetitive client messages, and typing data into software.
Unstructured data is the bottleneck of modern operations. Vendor invoices arrive as scanned PDFs, customer enquiries arrive across WhatsApp and email, and field reports arrive as messy text notes. A human has to read each one, extract the numbers, and key them into an ERP.
Hiring more back-office staff increases payroll overhead without fixing data errors or response latency. Customers wait hours for quotes, and invoices sit unreviewed for days.
Custom AI workflow automation combines Large Language Models (LLMs) with strict programmatic validation. The pipeline extracts structured JSON from PDFs and emails, validates every field against your business rules, and executes the downstream action automatically.
What you actually receive
Automated document extraction pipelines for PDFs, scanned invoices, PODs, and purchase orders
Intelligent WhatsApp & email enquiry triage with automated quote drafting and routing
Strict schema validation (Zod / JSON Schema) ensuring zero hallucinated records enter your database
Human-in-the-loop review queue for ambiguous or low-confidence edge cases
Audit logs with side-by-side visual diffs comparing original documents against extracted data
Direct webhook / API integrations into your CRM, database, or accounting software
- •This is NOT a generic ChatGPT wrapper or chatbot that hallucinating nonsensical answers.
- •This is NOT a toy demo built in Zapier that breaks when a document has two pages.
- •This is NOT an opaque third-party SaaS that charges expensive per-page markup fees.
How we execute from start to finish
Sample Ingestion & Prompt Calibration
Days 1–7We gather 50–100 real sample documents or customer communications, define extraction schemas, and benchmark accuracy.
Pipeline Construction & Schema Validation
Weeks 2–3Build OCR extraction, structured LLM parsing, fallback validation logic, and error boundaries.
Human-in-the-Loop Review UI
Weeks 3–4Build a streamlined interface for staff to inspect low-confidence extractions with single-click approvals.
Production Deployment & Monitoring
Weeks 5–6Connect live webhooks, set up token cost monitoring, latency telemetry, and train your team.
Proven in high-concurrency production
Social Copilot & Document Extraction Pipelines
Engineered multi-modal AI processing pipelines combining LLM vision analysis, structured schema validation, and asynchronous background worker queues (BullMQ/Redis).
Who this is not for
Frequently asked questions
How do you prevent the AI from hallucinating incorrect numbers?
We use structured output mode (JSON Schema enforcement) coupled with post-extraction mathematical validation rules (e.g. checking that line items sum up to the invoice total). If numbers fail validation, the item is automatically routed to a human review queue.
What are the ongoing AI API costs (OpenAI / Anthropic / Gemini)?
For standard document extraction or email triage, API token costs are negligible—typically ₹0.20 to ₹2.00 per document processed. We optimize prompt caching and model selection (using smaller fast models for routine tasks) to keep costs minimal.
Can this extract data from blurry photos or scanned Indian invoices?
Yes. We use advanced multi-modal vision models combined with image pre-processing (contrast normalization, deskewing) that accurately parse low-resolution scans, vernacular terms, and GSTIN formats.
Is our proprietary customer or financial data used to train public AI models?
No. Enterprise API endpoints with zero-data-retention agreements are utilized, ensuring your company data is never retained or used to train foundation models.
Can this pipeline trigger actions directly in our Tally or Zoho Books?
Yes. Once extraction and validation succeed, the structured data is pushed directly to Zoho, Tally, SAP, or your internal SQL database via REST API or XML sync.
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Ready to solve this in your business?
Message me directly on WhatsApp with your current process or spreadsheet format. I will review it and reply with scope clarity and a timeline.
Pune, India · Available for businesses worldwide · Response time: under 4 hours