Start with
the outcome.Get clear on the ROI.
Customer operations · Real systems · Real constraints
Forward Deployed Engineering for Agentic AI and Voice AI. From business outcome to production.
Enterprise AI · Forward Deployed Engineering
Start with
What I help with
What I help with
See the offers →
01
Evaluate
Is your agentic AI demo ready for the real world? A senior second opinion before scale.
See how I can help → 02Design
Architecture, evals, governance, cost, reliability. The hard parts done with judgment.
See how I can help → 03Ship
Turn an idea into a working agentic system. Scoped, fixed price, real code.
See how I can help →Work areas Agentic AI Consulting Voice AI Development Forward Deployed Engineering Enterprise AI Consulting
Try it
Watch the agent work, and book a real call.
A scheduling assistant built as an agent. Its reasoning and tool calls appear in the transcript as it runs. Chat with it and book a 30-minute intro on Muhammad's calendar.
The point
An agent is software that uses a language model to decide what to do next, takes that action, looks at what came back, and decides what to do after that. Everything else is plumbing.
Latest writing
All articles →
- Sep 14, 2026 Enterprise
Best Voice AI and IVA Platforms for Contact Centers
Fourteen voice AI and IVA platforms for contact centers, compared by who owns the conversation logic and who makes the changes.
- Aug 14, 2026 Enterprise
The Hard Part of an AI Eval Set Is the Answer Key
An automated score said my retriever was failing. I read the failures by hand and found my own answer key was wrong. What that cost, and what it did not fix.
- Jul 27, 2026 Enterprise
What an AI Agent Actually Costs Per Resolved Customer Issue
Most AI contact center business cases count too little cost and divide it by the wrong outcome. Price your agent per resolved issue, not per contact.
- Jul 23, 2026 Enterprise
When the Small Language Model Isn't the Bottleneck
On an offline 350M assistant, model choice mattered, and then stopped being the limit. Several failures I blamed on the model started in the system around it.
The books Two paired volumes, one running example
Volume I · Foundations Understanding Agentic AI Systems On-ramp for software people new to AI.
Read about Volume I →
Volume II · Practice Designing Enterprise Agentic AI Systems Architect's field guide for production agentic systems.
Read about Volume II →
Written by Muhammad Arbab. 20 years in
enterprise systems, 14 of them shipping AI inside Fortune 100 organizations. Author of two
books on designing agentic AI systems.