Vertical 02

AI Workflow Automation

Clear the queue before a person ever has to touch it.

The problem

Where the friction lives.

Operational teams drown in repetitive intake. Emails, documents, forms, and tickets all need reading, classifying, and routing before any real work starts, and the backlog grows faster than headcount.

We put an AI layer in front of the queue. It reads each item, pulls out the fields that matter, scores its confidence, drafts a branded reply, and sends only the genuine exceptions to a person, with the full context attached.

How it works

The flow, end to end.

STEP 01

Intake

Email, document, form, and ticket queues funnel into one routing layer.

STEP 02

Extract

Models pull structured fields and classify intent with a confidence score.

STEP 03

Resolve

High-confidence items close automatically with a branded response.

STEP 04

Escalate

Exceptions go to a person with history and a suggested next step.

Tech stack

Built with the right tools for the job.

LLM Orchestration Routes each item to the right model with guardrails.
OCR + LLM Reads scanned documents and forms into structured data.
Vector Search Semantic retrieval over knowledge bases and past tickets.
Python · FastAPI Service layer for pipelines and APIs.
Supabase Auth, Postgres, and storage in one layer.
Integrations Connects to the systems, APIs, and data sources you already run.
Who pays

Operations leaders carrying high-volume intake. They pay for throughput and turnaround, not for seats.

Execution risk
Medium

Scored internally against technical complexity, integration cost, and regulatory exposure.

90-day MVP

In 90 days we route one live workflow, usually a tier-one service or document queue, through the AI and human layer, with a weekly quality review.

Interested in this solution? Let's talk.