AI agent consulting by operators who ship, not slides

AI agent consulting is the practice of helping businesses identify, design, and plan the deployment of AI agents — software systems that reason, plan, and use tools autonomously. Good agent consulting is practical: it tells you which specific workflows to automate first, what architecture to use, whether to build or buy, and what metrics to track. It avoids the generic 'AI transformation' framing that doesn't translate to shippable agents.

We ship. Every Cognio consultant has built and deployed real AI agents in production. We don't hand off to implementation partners — we either do the build ourselves or help you hire the right in-house team. Our deliverables are PRDs, architecture diagrams, and roadmaps you can execute against, not strategy decks that sit on a SharePoint. Our pricing reflects that: fixed-fee, not six-figure retainers.

Consulting is led by Ashutosh Upadhyay, founder and CEO of Cognio Labs. Ashutosh has deployed AI systems at scale — including an EdTech platform serving 5,000+ students — earned Hugging Face compute credits for his work on Indic language models, and hosts 'Designing Tomorrow with Ashutosh,' a podcast on applied AI. Larger engagements bring in the full Cognio team of AI engineers.

Cognio Labs' AI consulting engagements are fixed-fee, starting at $3,500 for a 1-week AI Agent Readiness Assessment, $4,500 for a 1–2 week Architecture Review, $6,500 for a 2–3 week Use Case Prioritization Sprint, and $2,500/mo for an ongoing Executive AI Advisory Retainer. Every scope is confirmed in the free discovery call — you only pay after we agree the engagement is a fit.

No. We don't do 'AI transformation' in the abstract. We help you identify and ship specific AI agents that solve specific workflows. If you want a 12-month change-management engagement with culture workshops and capability maturity models, we're not the right firm — hire a Big 4. If you want to be using real agents in production within 3 months of the engagement ending, we're a fit.

Yes — this is one of the most common reasons teams hire us. The build-vs-buy decision for agents is rarely obvious. We evaluate the vendor landscape (LangChain, CrewAI, Microsoft Copilot Studio, AWS Bedrock Agents, OpenAI Assistants, etc.) against your specific requirements, data constraints, and team capabilities — and give you a written recommendation with a clear rationale.

We've consulted across SaaS, education, logistics, fleet management, customer service, and legal tech. Our sweet spot is companies that have repetitive, high-volume, multi-step workflows where AI agents can automate real work — not 'let's try some AI' innovation theater. We're model-agnostic and industry-pragmatic.

Yes — and many clients do. The consulting engagement is designed to stand alone, but if you want us to build what we recommended, we'll scope a separate fixed-fee build engagement. There's no pressure to continue — we'd rather you take the recommendations to an in-house team if that's the right move. That's how we earn referrals.

Discovery calls are usually available within 3–5 business days. Assessment engagements typically kick off within 2 weeks of signing. Advisory retainers can start immediately after the discovery call. We hold no more than 3 active consulting engagements at a time to protect the quality of each — so sometimes we have a short waitlist.

Honest answer: early-stage startups often don't need a consultant. You need to build. We'll usually tell you that on the discovery call and point you to our guides and tools. The exception is when there's a critical architectural decision (model choice, agent framework, data architecture) that's expensive to reverse — in that case the $3,500 readiness assessment often pays for itself 10× over.