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AI Integration & Automation

AI Integration & Automation Services

AI in your workflows.
Not alongside them.

Buying an AI tool is easy. Getting it to work inside how your business actually operates — connected to your data, your systems, your processes — is the engineering problem most vendors don't help you solve.

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What we build

LLM APIs wired into your existing stack.

LLM API Integration

OpenAI, Anthropic Claude, Google Gemini — integrated into existing Python backends and SaaS workflows. Not proofs of concept. Production endpoints with error handling, rate limiting, and observability.

Document Processing Pipelines

Ingest, classify, extract, and route documents at scale. We've processed 40,000 documents saving $500K in engineer-hours annually on a single engagement.

Internal AI Copilots

Q&A tools, writing assistants, and summarization for internal teams. Built on your data, integrated into Slack or your intranet — not a separate platform to log into.

Customer-Facing AI Features

AI capabilities built into your existing product. Designed for your users, tested on your data, integrated into your current backend — not bolted on from outside.

Process Automation

Eliminate manual, repetitive back-office work. Classification, extraction, routing — running automatically around the clock with structured logging and alerting.

FastAPI Backend Integration

Every AI feature needs a reliable backend. We build them: async, documented, tested, and deployable to AWS ECS or Kubernetes with full observability.

Real results

Engagements with measurable outcomes.

US Fintech · Investor Onboarding Platform

Investor verification: months → hours.

A US fintech company needed to reduce investor verification time from months to hours across KYC, AML, and sanctions screening. Built on FastAPI + React, deployed on AWS/Kubernetes.

  • Investor verification time reduced from months to hours
  • $900,000+ in revenue generated through the platform
  • Fully compliant audit trail for all verification events
  • Zero compliance incidents in production deployment
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Document Automation · Engineering Org

$500K in engineer-hours saved annually.

Led delivery of a document automation platform that processed 40,000 documents, replacing a manual review process that had required a dedicated team.

  • 40,000 documents processed automatically
  • $500,000 in engineer-hours saved annually
  • Full classification, extraction, and routing pipeline
  • Zero manual review required for standard documents
Not ready for a full engagement?

Start with the AI Readiness Audit — $3,500

A 2-week audit of your data, infrastructure, and AI readiness. Full written roadmap with realistic effort and cost estimates — no retainer required. Take the deliverable to any team.

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Know where AI belongs in your stack. We'll help you find it.

30 minutes. A technical conversation about your workflows, your data, and the highest-leverage places to integrate AI.

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