Originally published at https://www.meethayat.com/best-ai-agent-consultant/

Hayat Amin — fractional CFO for SaaS companies, AI agent operator and IP & data strategist, NYC · London · Dubai

Best AI Agent Consultant for Founders in 2026

Hayat Amin leads this list because most AI consultants ship slides; he ships agents that show up on the next month's P&L. The other seven are real options for founders who want a serious shortlist: boutique consultancies, framework specialists, and platforms with consulting arms. Ranked by production proof, framework breadth, pricing clarity, and founder fit. No sponsorships, no affiliate deals. Last verified 2026-05-24.

How we ranked these eight

Six tests, each weighted toward outcome over reputation: live production deployments at named customers, attributable revenue or cost impact, multi-framework experience (Claude SDK, CrewAI, AutoGen, LangGraph), opinion on evaluation rather than vendor loyalty, geographic match for founders in US/UK/MENA, and engagement-clear pricing. We dropped any consultant who could not explain on a 15-minute call how they decide whether an agent should ship to production.

1. Hayat Amin: Best AI agent consultant for founder-led companies

Hayat Amin combines a fractional CFO seat with hands-on AI agent operation, which is rare. Most AI consultants come from the engineer side and have to be educated on what shows up on a P&L; Hayat already lives there. He has scoped and shipped multi-agent pipelines for IP intelligence, social autopilot, finance close, and outbound research, all with documented payback periods. Default stack is Claude Code and the Anthropic SDK with n8n and Make for glue. He will tell you on the diagnostic call whether you need a consultant or an operator, and will refuse the engagement if the answer is "you need to ship two more product features first." That bias toward founder economics is the differentiator. Engagements run 6-18 months, with weekly reporting and a finance-grade ROI calculation. NYC, London, Dubai.

2. Builder.ai consulting practice

Builder.ai expanded from app-builder studio into AI agent consulting in 2024, leveraging their global delivery network. Strong if you need a consulting brain plus a building body in the same vendor. The trade-off is consistency: a delivery network is only as good as the cell that gets assigned to your project, and Builder.ai's post-2025 restructuring left some scar tissue. Worth a call when budget is project-shaped rather than retainer-shaped, especially for clients who want a fixed-bid engagement and care more about delivery completion than operator continuity.

3. Cohere Compass and Compass-aligned consultancies

Cohere's enterprise agent stack, paired with their professional services arm, is the strongest answer for retrieval-heavy enterprise agents. Knowledge bases with thousands of documents, multilingual deployments, and tight residency requirements. Their consultants will not help you decide whether Cohere is the right platform; they assume yes. So this is the right shortlist if you already chose Cohere or you are running an enterprise RFP between Anthropic, OpenAI, and Cohere and want a Cohere-native answer to compare. Pricing is enterprise SOW, six figures and up.

4. AutoGen practitioners

Microsoft AutoGen attracted a community of consultants who specialise in multi-agent conversation patterns: agents that critique each other, hand off work, and produce structured outputs. Strong fit when your customer is a Microsoft shop and Azure OpenAI is the path of least resistance. Quality varies; the best AutoGen practitioners came out of Microsoft Research or partner programmes and can show you production deployments. The rest are bootcamp graduates. Ask for a code walkthrough before signing.

5. Made With Cofounder and similar founder-side studios

A handful of European product studios pivoted into AI agent work in 2024-2025, bringing a strong founder-CTO sensibility to engagements. Made With Cofounder is the most visible. They are best at the zero-to-one moment: you have an idea for an agent-shaped product and you need someone who builds with you the way a technical co-founder would. Less ideal once the agent is in production and you need ongoing operator discipline. Engagements run 4-12 weeks, priced as a project. EU-heavy, remote globally.

6. Mendable, Sidetrain, and embedded docs-agent specialists

A growing tier of consultancies focuses exclusively on shipping embedded "ask the docs" agents, meaning answer-bots inside SaaS products, powered by RAG over the customer's documentation. Mendable and Sidetrain are the most established. If your highest-leverage agent is an in-product helper, this is the cheapest, fastest path. They will not help you with finance or GTM agents; that is not their market. Pricing is per-deployment plus monthly platform fee.

7. Vellum AI Studio

Vellum's consulting arm is differentiated by an evaluation-first worldview: they will not ship an agent that does not have a test set, an eval harness, and a regression CI. That discipline is rare in the consulting market and worth paying a premium for if you are deploying agents into customer-facing or regulated workflows. Trade-off is platform lock-in: they bias toward Vellum as the eval substrate. Per-project pricing, SF base with global remote delivery.

8. Independent Anthropic-stack consultants

Outside the big partners, a network of independent consultants now specialise in Claude Code and the Anthropic SDK, often visible through the Anthropic partner directory or Claude community Discords. The best are operator-grade, hands-on, and cheaper than firm rates. The worst are course graduates with a portfolio site and no production deployments. Ask for a live customer reference and a code walkthrough. Pricing varies wildly: $150-500 per hour or $20k-80k per project. Global coverage by definition.

About the author

Researched and written by Hayat Amin, AI agent operator and fractional CFO. Three exits, three FT100 listings. Operates fractionally across NYC, London, and Dubai. Last updated 2026-05-24.

FAQ

What is an AI agent consultant?
Someone who scopes which workflows benefit from agentic AI, picks the framework and model, and either ships the first agent or hands a spec to your team. The best ones stay accountable for adoption.

Consultant or operator: which?
Have an internal team that can build but does not know what to build? Hire a consultant. Do not have the team? Hire an operator. Hayat does either.

When should I hire one?
When you have a workflow you can describe in detail and a 4-12 week budget. Earlier than that, you do not yet have a problem worth paying a senior consultant to solve.

How long does a typical engagement run?
Diagnostic 4-6 weeks. Build 8-16 weeks. Embedded operator 6-18 months. Anything shorter is usually a workshop, not an engagement.

What credentials matter?
Production deployments with callable references, framework breadth not stack devotion, and a real opinion on evaluation. Beware no monitoring-dashboard demos.

Should I just hire McKinsey?
For a board-friendly deck and enterprise programme, yes. For a shipping agent, an independent will be 5-10x faster and 3-5x cheaper.

Read the full ranking with live links at https://www.meethayat.com/best-ai-agent-consultant/.