AI Architecture & Integration
AI that actually
ships to production.
I design and build AI systems for businesses. Not slide decks. Not workshops. Working software — integrated, deployed, and delivering value.
The landscape
Your competitors
aren't waiting.
AI adoption is accelerating fast. The companies moving now are cutting costs, shipping faster, and pulling ahead. The ones still "exploring" are falling behind.
“Companies with AI-driven processes report up to 80% reduction in data processing time and 40% faster time-to-market.”
— Accenture — Generative AI for Customer Value Growth, 2024“65% of organizations now use generative AI regularly — nearly double from ten months ago.”
— McKinsey — The State of AI in Early 2024“AI adoption among Danish companies nearly doubled between 2023 and 2024.”
— Danish Agency for Digital Government, 2024 (Statistics Denmark)Every day without AI is money left on the table. The question isn't whether — it's how fast you move.
Services
AI that solves
actual problems.
AI Integration
LLMs, chatbots, and AI assistants wired directly into your existing stack. Your team gets smarter tools without changing how they work.
- —GPT / Claude / open-source LLMs
- —Context-aware customer service bots
- —Internal AI assistants for daily workflows
- —RAG pipelines over your own data
Intelligent Automation
Kill the repetitive work. Lead routing, CRM flows, document generation, data pipelines — automated end to end.
- —CRM & pipeline automation
- —AI-powered lead scoring and follow-up
- —Automated proposals and document generation
- —System-to-system API integrations
Custom AI Systems
When off-the-shelf falls short. Purpose-built AI designed around your business logic, your data, your constraints.
- —Models fine-tuned on your data
- —Prediction and anomaly detection
- —Computer vision and image analysis
- —GDPR-compliant — runs on-premise if needed
AI Strategy
Not sure where to start? I map your operations, find the highest-impact use cases, and lay out a plan you can actually execute.
- —AI readiness assessment
- —Use case discovery and prioritization
- —Architecture and infrastructure planning
- —Build vs. buy analysis
Pharma & Life Science
AI for the pharma
industry.
Pharma and life science are among the most regulated industries — and among those with the greatest AI potential. From adverse event reporting to clinical trials: I build solutions that comply with regulations and save you thousands of hours.
Medical Information Retrieval
RAG-based search system across SmPCs, package leaflets and clinical guidelines. Pharma regulatory and medical affairs teams find answers in seconds instead of hours.
- —Search across SmPCs, PILs and clinical guidelines
- —Regulatory/medical affairs teams get instant answers
- —Hospital pharmacies gain instant access to all documentation
- —Always up-to-date with latest approved documentation
Under the hood: RAG pipelines, vector search over PDF/XML, medical text chunking strategies, compliance logging
Pharmacovigilance & Adverse Event Reporting
AI scans and classifies adverse event reports (ICSRs) automatically. Pharma companies are legally obligated to report — today it's massive manual work.
- —Automatic scanning and classification of adverse event reports
- —MedDRA coding and signal detection
- —Processing time reduced from hours to minutes per report
- —Compliance with EMA and FDA regulatory requirements
Under the hood: NLP classification, MedDRA mapping, structured output parsing, audit trail, GxP-compliant architecture
Clinical Trial Matching
Matches patients to clinical trials based on medical records and inclusion/exclusion criteria. Accelerates recruitment and drastically reduces screening time.
- —Automatic patient matching against trial criteria
- —Supports complex inclusion and exclusion criteria
- —Accelerates recruitment and reduces screening time
- —Integration with clinical databases and EHR systems
Under the hood: NER over medical records, criteria parsing, FHIR integration, embeddings over trial protocols
Regulatory Submission Automation
AI assistance for CTD documents (Common Technical Document). From weeks to days on regulatory submissions with automatic quality checks and cross-referencing.
- —AI-assisted CTD document assembly
- —Quality checks, consistency analysis and cross-referencing
- —From weeks to days on regulatory submissions
- —Consistency across Module 2-5 documentation
Under the hood: Document generation, cross-reference validation, template engines, compliance checks against ICH guidelines
How it works
Straightforward.
We talk
No-strings conversation about your challenges. I figure out where AI makes sense — and where it doesn't.
I scope it
I dig into your workflows, spot the quick wins, and map out a concrete plan with clear deliverables.
I build it
Fast, iterative development. You see working demos along the way, not a reveal after six months.
You own it
The solution runs in your environment. I stick around for support and iteration as long as you need.
Why me
I'm not here to
sell you a workshop.
Most AI consultants hand you a strategy deck and wish you luck. I architect the system, write the code, deploy it, and make sure it works. One person, no handoffs.
Typical AI Consultant
- ×Prompting courses and ChatGPT workshops
- ×Configures off-the-shelf SaaS tools
- ×Delivers strategy decks and roadmaps
- ×Zero custom development
- ×Outsources anything technical
- ×One-size-fits-all recommendations
WM AI
- →Designs and builds the system end to end
- →Custom harness with guardrails and rate limiting
- →RAG, fine-tuning, and agent orchestration
- →Full-stack integration into your existing tools
- →You talk directly to the person building it
- →Production-grade — not a proof of concept
Most "AI solutions" out there are ChatGPT with a system prompt. I build the infrastructure that makes AI reliable, scalable, and fully integrated — with control over your data, your costs, and your quality bar.
About
William Markman
I built CircuitCRM at Circuit Systems — a flexible CRM for small and mid-size businesses, custom-fit to each client. Full stack, from database to deploy.
AI is what I do all day. Prompt engineering, LLM integration, fine-tuning, agent orchestration — I know the stack deeply and I know how to turn it into something that actually moves the needle for a business.
My philosophy is simple: find what creates value, build it fast, ship it, iterate. No committees, no six-month timelines.
Let's figure out
what AI can do for you.
No pitch, no pressure. Just a conversation about your business and where AI fits.
Drop me a line