AI Integration Consulting
We help companies and teams optimize the value of their services and operations with AI. From opportunity assessment through production deployment and ongoing evolution, we architect and embed AI features that scale.
AI Opportunity Audit
Fixed price, 1–2 weeks. Review your workflows, data, and tools. Identify the 2–3 highest-value AI opportunities with effort estimates and expected payoff. Deliver a written report with a technical roadmap.
Pilot Build
Fixed scope, 3–6 weeks. One working, production-ready AI solution: a document Q&A assistant (RAG), automated data extraction pipeline, or an AI feature embedded in your product.
Ongoing Partnership
Monthly retainer. Monitoring, evaluation, cost control, model updates, and new features. Or a fractional AI architect role embedded with your engineering team.
AI Strategy and Architecture
Identify high-value AI opportunities in your workflows, data, and customer needs. Assess feasibility, effort, and expected business payoff.
LLM and Agent Integration
Integrate large language models and AI agents into web, mobile, and desktop products. Multi-modal inputs, function calling, and reliable error handling.
RAG Systems and Knowledge Integration
Build retrieval-augmented generation systems over company documents, customer data, and proprietary knowledge bases.
Workflow Automation and Document Extraction
Automate document processing, data extraction, and business logic with AI. Reduce manual work and improve accuracy.
Local and Private AI Deployment
Deploy open-source and self-hosted models for organizations that need data privacy, GDPR compliance, or air-gapped environments.
Evaluation, Testing, and Guardrails
Measure quality, catch regressions, and add safety guardrails so AI features stay reliable and predictable in production.
Team Training and Developer Productivity
Train your engineers on LLM integration patterns, prompt engineering, and AI-driven development workflows.
How we work
Written scope per phase
No surprises. Each engagement phase has a clear scope, deliverables, and timeline in writing.
Weekly async updates
Progress reported in writing so your team can stay informed without blocking calendars.
Shared repository and board
All work happens in your infrastructure or a shared workspace you control. Full visibility, no lock-in.
NDA and data security
Standard NDA, GDPR-compliant data handling, secure access protocols, and audit trails.
AI integration in action
Real-world results from organizations that embedded AI to work smarter.
[CASE STUDY PLACEHOLDER: Document Processing]
Industry: [Industry]
Challenge: [Client challenge with manual document processing]
Solution: [AI solution implemented]
Outcome: [Time saved, cost reduction, or accuracy improvement]
[CASE STUDY PLACEHOLDER: Customer Support]
Industry: [Industry]
Challenge: [Client challenge with customer support volume]
Solution: [AI agent or RAG system implemented]
Outcome: [Support efficiency gain, CSAT improvement]
[CASE STUDY PLACEHOLDER: Data Extraction]
Industry: [Industry]
Challenge: [Client challenge with manual data extraction]
Solution: [Automated extraction pipeline]
Outcome: [Manual effort reduction, improved accuracy]
Ready to move from roadmap to running software?
Tell us where you're stuck and we'll tell you exactly how we'd approach it.