How is working with Idea Boundary different from hiring a big consultancy?

You work directly with me (the person who designs and ships your system), not a rotating cast of junior teams. No handoffs, no bloated proposals. We scope tightly, ship MVPs in weeks, and focus on systems your team can own – not months of PowerPoints.

Do you only work with one LLM provider (OpenAI, Anthropic, etc.)?

No. I'm vendor-agnostic and recommend what fits your constraints: cost, latency, data privacy, and compliance. I work with OpenAI (GPT-4), Anthropic (Claude), open-source models (LLaMA, Mistral), and can deploy private models on your infrastructure if needed.

How do you handle data privacy and security?

For sensitive data, I recommend on-premise or private cloud deployments. We keep your data in your environment, implement PII redaction where needed, and ensure compliance with GDPR, HIPAA, or industry-specific regulations.

What if our team has never worked with LLMs or ML before?

That's common. I translate technical concepts into plain English for stakeholders and provide hands-on training for your engineers. My goal is to leave your team self-sufficient with clear documentation, runbooks, and 1-on-1 knowledge transfer sessions.

How do you measure success for AI projects?

Every project starts with clear success metrics tied to business outcomes: reduced support time, improved conversion, faster operations, etc. For LLMs, I build offline evaluation harnesses to measure accuracy, latency, and cost.

Production AI that survives real users.

Idea Boundary helps SaaS and B2B teams design, build, and maintain LLM, RAG, and ML systems that are observable, reliable, and actually used – not just demoed.

LLM & RAG Production Systems AI Agents with Tool Calling End-to-End MLOps Weeks to MVP, Not Months Direct Access to Principal Engineer

Book a 30-min strategy call See case studies

How Idea Boundary Drives Measurable Impact

Real Systems, Real Results

How We Work Together

From first call to production handoff

Who's Behind Idea Boundary

One consultant. No handoffs. Direct to production.

I'm Ahmed Doghri, the principal consultant at Idea Boundary. I started this studio after watching too many AI 'pilots' die in slide decks and internal demos. My work is about getting your LLM and ML ideas into production – with metrics, monitoring, and a clear owner. I work directly with product teams, talk to engineers, and ship reliable systems. No junior teams, no templates, no buzzword bingo. Before Idea Boundary, I led ML and data projects for startups and scale-ups, built production RAG systems, and spent too much time debugging why 'it worked in the notebook but not in prod.' When you work with Idea Boundary, you work with me. That's the model.

What I Believe About AI Projects

Small releases beat big roadmaps. Ship an MVP in weeks, iterate with real users, add complexity only when justified.
Observability is not optional. If you can't measure it, you can't improve it. Every system I build ships with evals and monitoring.
Own the last mile. Strategy and prototypes are easy. Production, guardrails, and handoff are where most teams fail – that's where I focus.
Stay vendor-agnostic. I'll recommend OpenAI, Anthropic, or open-source models based on your constraints, not my preferences.
Train your team. My goal is to make you self-sufficient, not create dependency.

Frequently Asked Questions

📥

LLM Production Readiness Checklist

A 1-page checklist covering data requirements, evaluation metrics, monitoring, guardrails, and deployment for production LLM/RAG systems.

No spam. PDF sent instantly to your inbox + monthly AI insights.

Let's work together

Tell me about the problem, not just the tech stack.

Share a few lines about your product, data and goals. I'll respond with next steps and, if it makes sense, a link to schedule a call.

Name *

Work email *

Company / project

Your role

What are you looking for? *

Describe the problem and your ideal outcome *

Rough budget range

Ideal timeline