Applied AI Integration & Enterprise Workflow Automation

If a person is copying invoices, hunting SOPs or answering the same ticket, we put AI on that job. Structured output, a human check when confidence is low, and privacy defaults that keep your data out of shared models.

Hours saved on a named workflow, not a demo chatbot

Schema checks so invoices and records cannot invent totals

Your data stays in your account, or on your own machines

HOW WE BUILD THIS

AI that has to be right, or it waits for a person

A model that is 90 percent right on invoices is still dangerous. We validate output against a schema, log every decision, and send low-confidence work to a person.

What this looks like in the codebase

After the workflow is clear, we lock the technical choices that keep the product maintainable. These are the ones we use here:

Structured output generation enforced via Zod and JSON Schema validation
Hybrid vector search combining dense embeddings with BM25 full-text keyword indexing
Asynchronous background execution using distributed state machines
Strict data privacy with zero data training retention policies

Stack we ship with

Chosen because we have run it in production, not because it is fashionable.

OpenAI / Anthropic APIspgvector / QdrantPython / FastAPILangChain / LlamaIndexTemporal.ioRedisDocker

WHAT YOU GET

The work inside this service

From the first data model to a production deploy. Here is what we hand over.

01 / APPLIED AI & AUTOMATION

Intelligent Document & Data Processing

PDFs, invoices, contracts and receipts become database rows, with a person in the loop when the numbers do not add up.

OCR and multi-modal entity extraction
Automated invoice and ledger reconciliation
Confidence scoring and human-in-the-loop review queues
Direct integration into ERPs and accounting systems

02 / APPLIED AI & AUTOMATION

Custom Internal Copilots & Knowledge RAG

Answers from your SOPs, tickets and docs, with citations. Sales, ops and support stop hunting through folders.

Enterprise knowledge base vector search
Role-based document permission filtering
Source attribution and exact citation links
Slack, Discord, and Web client embeds

03 / APPLIED AI & AUTOMATION

Operational Workflow Automation

Connect the CRM, billing and fulfilment so a new order or a failed payment moves without someone copying it by hand.

Event-triggered automation pipelines
Automated customer intake and lead qualification
Data sync between CRM, billing, and fulfillment
Automated anomaly detection and team alerts

WHY THIS HOLDS UP

A call we made in production

Eliminating Hallucinations in Multi-Branch Financial Invoice Ingestion

A CALL WE MADE IN PRODUCTION

Eliminating Hallucinations in Multi-Branch Financial Invoice Ingestion

For multi-branch retail operations processing thousands of vendor invoices weekly, statistical LLM extraction alone introduces dangerous error rates. We designed a dual-pass verification pipeline. The first stage uses specialized OCR to parse text coordinates and bounding boxes into structured tokens. The second stage executes structured schema extraction with strict numerical checksum validation. If line items do not balance with invoice totals to the exact cent, the task routes to an expedited human review queue with pre-highlighted bounding boxes.

WHAT CHANGED