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How I Can Help

Agentic AI consulting, from promising demo to working system.

I help teams and leaders evaluate, design, and ship agentic AI and voice AI systems before complexity, cost, and governance issues get expensive. Advisory when you need a second opinion, forward deployed engineering when you need the thing built.

Start a conversation → Talk to the assistant first → See the offers ↓
Muhammad Arbab
Worked with 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.
The Offers Two ways to work together, both small enough to ship

Offer 01 · Advisory entry point

Agentic AI Readiness Review

Teams with a promising agentic AI demo or pilot that need a senior second opinion before scaling.

What you get

  • → Pre-session intake form so the working session goes deep, not wide.
  • → 90-minute working session covering architecture, evals, governance, cost, and reliability.
  • → Readiness score across roughly 10 dimensions, scored honestly, not graded on a curve.
  • → Three to five page memo: top risks, quick wins, and the next concrete moves.
  • → 30-minute readout to walk the memo through the team, including the engineers who will own it.

Offer 02 · Fastest path to a working system

Design & Ship Implementation Support

Teams that need help turning an idea into a working agentic workflow, prototype, automation, or production-ready system.

What you get

  • → Scoped per project. Fixed deliverable, fixed price, defined number of revisions.
  • → Architecture and design carried through to working code, not slideware.
  • → Production concerns built in from day one: evals, cost ceilings, security, observability.
  • → Knowledge transfer to your engineers so the system survives without ongoing dependency on me.
  • → Maintenance handled separately if you want it, on a clean continuation contract.
Areas of work Both offers apply across these four

Agentic AI Consulting

Most agentic AI pilots work. The trouble starts when real users, real data and a real invoice arrive. I help teams close that gap, either as a second opinion before you scale or as hands-on build work.

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Voice AI Development

A voice agent is not a chatbot with speech bolted on. It has about a second to respond, no screen to hide behind, and a caller who will talk over it. That changes almost every design decision.

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Forward Deployed Engineering

A forward deployed engineer works inside your environment, on your data and your constraints, and stays accountable after go-live. The label is new. The operating model is what has always been required to get this work into production.

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Enterprise AI Consulting

Most enterprise AI programmes do not fail on the model. They fail on picking the wrong first workflow, granting the wrong amount of autonomy, and discovering the governance answer after the incident rather than before it.

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Frequently asked

Before you book a call

What kind of AI work do you take on?
Agentic AI systems, voice AI agents for contact centers and customer operations, and the enterprise programmes around both. The work splits into two shapes: a Readiness Review, which is a senior second opinion on something that already exists, and Design & Ship, which is hands-on build work with a fixed deliverable. If you want the detail by area, each of the four service pages covers one.
What does it cost?
The Readiness Review is fixed price and published: around $750 at the pilot rate and around $1,500 at the standard rate, for a 90-minute working session, a three to five page memo and a 30-minute readout. Build work is scoped per project, with a fixed deliverable, a fixed price and a defined number of revisions. There is no public price ladder for build work, because a number produced before anyone has seen the system is a number that will be wrong.
Which should I start with, the review or the build?
If something already exists and the question is whether to scale it, start with the Readiness Review. It is small, fixed price, and it will tell you whether the build is even the right next step. If you already know what needs building and the blocker is capacity or experience, go straight to a scoping conversation. A 30-minute call will settle which one you actually need.
Do you work with teams outside your timezone?
Yes. The work is remote and has been for years, and the engagements are structured around written artifacts and a small number of scheduled working sessions rather than constant availability. Overlap for the sessions themselves is worked out when the engagement is scoped.
What happens after an engagement ends?
Your engineers own the system. Knowledge transfer runs through the engagement rather than being a handover event at the end, and for build work a self-sufficiency exit is part of the scope. If you want ongoing maintenance afterwards it runs as a separate, clean continuation contract rather than an open-ended retainer.

The throughline

I help you move from agentic AI idea to working system.

That can mean a 90-minute working session before you scale, or a multi-week build that lands a real system. The shape changes, the goal does not. We are aiming at something a team can run, test, and trust, not a deck that closes a quarterly review.

Start a conversation

A 30-minute call to see if there's a fit.

Tell me what you're building or trying to build, what's already in place, and what would make this engagement worth it. If we're a fit, we will scope it tightly in writing. If we're not, I will say so and point you somewhere useful.

Book a 30-minute call →