Building AI Products That Solve Real Workflow Problems
Lessons from building three AI products — MedConsult AI, Business Idea Validator, and ERIS Pro — focused on practical workflow value.
Most AI products fail not because the AI doesn't work, but because the product doesn't solve a real workflow problem. After building and launching three AI products, I've learned that the gap between "impressive demo" and "useful tool" is almost entirely about workflow design.
The Three Products
MedConsult AI is a healthcare workflow platform for AI-assisted consultations, secure documentation, and patient communication. It reduces documentation burden while maintaining compliance-grade controls.
Business Idea Validator is a 13-agent platform that validates startup ideas with market research, financial projections, and go-to-market deliverables in minutes instead of weeks.
ERIS Pro (Enterprise Risk Intelligence System) is an AI-powered risk intelligence platform that transforms how organizations identify, assess, and monitor enterprise risks.
What I Learned
Lesson 1: Start with the Workflow, Not the AI
For MedConsult AI, the breakthrough wasn't the AI model — it was understanding that clinicians needed documentation to happen during the consultation, not after. The AI serves the workflow; the workflow doesn't serve the AI.
Lesson 2: Multi-Agent Architecture Beats Single-Model Thinking
Business Idea Validator uses 13 specialized agents, each focused on one aspect of validation (market sizing, competitive analysis, financial modeling, etc.). This produces far better results than asking a single model to do everything. Specialization matters in AI just as it does in teams.
Lesson 3: Enterprise Posture from Day One
ERIS Pro was designed with enterprise security, audit trails, and role-based access from the first line of code. Retrofitting enterprise controls onto a product built for demos is expensive and fragile. Build it right the first time.
Lesson 4: The UI Is the Product
In all three products, the AI is invisible to the user. They see clean interfaces, structured outputs, and actionable results. The moment a user has to think about the AI, you've failed at product design.
The Common Thread
All three products share a design philosophy: AI should disappear into the workflow. The user should feel like they have a more capable tool, not like they're interacting with artificial intelligence.
This means:
- No prompt engineering for users. The product handles prompt construction internally.
- Structured outputs, not raw text. Users get tables, scores, recommendations — not paragraphs to interpret.
- Guardrails are invisible. The product prevents misuse without making the user feel restricted.
What's Next
The next frontier for AI products is agent orchestration — systems where multiple AI agents collaborate to solve complex problems without human supervision of each step. Business Idea Validator's 13-agent architecture is an early example. The pattern will become standard.
The builders who win will be the ones who understand workflows deeply enough to know where AI creates leverage — and disciplined enough to resist adding AI where it doesn't.
Richard Leclézio
Enterprise Transformation & AI Delivery Leader