Services
AI Automation
We design and build AI-powered workflows that automate repetitive tasks, extract insights from documents, and integrate with your existing tools — no ML PhD required.
What We Build
Deliverables
AI Agents
Autonomous agents that research, draft, classify, and route work.
Document Processing
OCR + LLM pipelines for extraction, classification, and summarization.
Workflow Automation
Connect your SaaS tools with AI decision layers and custom triggers.
Conversational AI
Customer-facing chatbots and internal knowledge assistants.
Our Process
How We Deliver
- 01
Audit
Map current workflows, identify automation candidates, estimate ROI.
- 02
Prototype
Build a working proof-of-concept in 2 weeks to validate the approach.
- 03
Build
Production pipeline with error handling, monitoring, and audit logs.
- 04
Optimize
Accuracy tuning, cost optimization, and ongoing model updates.
Technology
Our Tech Stack
AI / ML
- OpenAI
- LangChain
- Anthropic
Infrastructure
- Python
- AWS Lambda
- PostgreSQL
Selected Work
Projects We're Proud Of
AI AutomationAI Document Processing Pipeline
Replaced a 45-minute manual document review process with an AI pipeline that classifies, extracts, and routes legal documents in under 90 seconds.
Web DevelopmentSaaS Analytics Dashboard
Redesigned and rebuilt a legacy analytics dashboard into a modern React app, reducing load time by 70% and tripling user engagement.
FAQs
Frequently Asked Questions
How accurate are AI automation systems?
Accuracy depends heavily on the use case and data quality. For document classification tasks we typically achieve 95–98% accuracy. We always build human-in-the-loop exception handling for the cases the model is uncertain about.
Do I need existing AI infrastructure?
No. We handle everything from API keys and vector databases to deployment and monitoring. You bring the use case; we build the system.
How do you handle data privacy?
We design for data minimization by default. Where sensitive data is involved, we can deploy models on-premise or in your private cloud without sending data to third-party APIs.
What is the typical ROI timeline?
Most automation projects pay for themselves within 3–6 months through time savings alone. We provide a concrete ROI estimate as part of the discovery phase.
Ready to automate what's slowing you down?
We respond to every inquiry within one business day.