Generative AI ROI Calculation for Enterprises
Build a finance-ready generative AI ROI calculation from task baselines, error cost and adoption curves, with clear exclusions and ownership.
GenAI Consulting20 min read
Built by a 3x founder, not a big firm
Generative AI consulting services to automate your business.
You already know AI can help your business. The hard part is knowing what to build, why it matters, and how to do it without burning months and budget on the wrong thing. That's where I come in.
You're not behind. You're getting conflicting advice.
Almost every team I talk to already believes in AI. They're stuck on the next question: what's actually worth building, and how do you get there without an expensive mistake? The hype makes that harder, not easier.
Maybe one of these sounds familiar
These are real situations I keep running into. Different companies, same root problem.
The expensive miss
A healthcare startup spends months and millions building an internal AI tool. It still doesn't work, because the hard parts (clean data, evaluation, the real workflow) got skipped for a demo that looked good in a meeting.
How it should go: a small, evaluated prototype that proves the workflow in weeks, before anyone spends millions.
The blocked team
At a mental-health company, leadership won't approve new AI tools or models, even when someone inside has mapped out exactly where they'd save real money. Caution wins by default, and the savings never happen.
How it should go: a low-risk pilot with real guardrails that earns leadership's trust, then unlocks the savings.
The reasonable question
A CPG founder wants agentic AI handling customer support, but isn't sure what an “agent” even is or how you'd set one up. That's a completely fair question, and most consultants make it worse, not clearer.
How it should go: a plain-English walkthrough, then one support flow handled by a real, scoped agent.
The gap is always the same: knowing AI matters is easy. Knowing what to actually do about it is the part nobody hands you.
Where I come in
I help teams cross that gap. I dig into how your business actually works, separate the high-ROI use cases from the hype, and tell you plainly what's worth doing and what isn't.
Then I build it, with the evaluation, guardrails, and honesty that keep it from becoming another expensive miss. You get working software your team owns and understands. Not a 50-page deck.
What I build
Hands-on, from first idea to production. Engage me for one workstream or as your embedded AI engineer.
RAG & knowledge systems
Grounded answers over your actual data, with the evals to know it's right instead of hoping.
Agents that take real action
Multi-step agents wired into your stack, with the guardrails and audit trails that matter once one is touching real systems or money.
AI workflow automation
The high-ROI internal work: triage, drafting, research, back-office flows. Measured in hours saved per week.
Production hardening / LLMOps
Get a promising prototype to reliable: evals, cost and latency control, observability, versioning.
Model selection & fine-tuning
Which model, when to prompt vs. fine-tune, decided by testing on your data, not vendor marketing.
Governance & safety
Guardrails, PII handling, and the supervision that lets cautious teams say yes with confidence.
Who you're hiring
I'm Quinn Osha, a 3x founder who builds AI for a living, not for slides. I built DebuggAI and autonomous agents that take real action safely, in production.
More about who you're hiringInsights
Field notes from actually building this stuff.
Positional Bias in Long-Context LLM Systems
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Query Planning for Multi-Source Enterprise RAG
How to plan multi-source RAG queries: decomposition, fan-out, sequencing, joins, provenance, latency, evals and observability.
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Generative AI consulting services, explained
Straight answers to what these services are, how they differ from general AI consulting, and how to get real value from them.
- What are generative AI consulting services?
- Generative AI consulting services help a company find where large language models, RAG systems, and AI agents can create real value, then design, build, and deploy those systems. Unlike broad data or analytics consulting, the focus is applied generative AI: getting LLM-powered features into production reliably. What is an AI consultant?
- How is generative AI consulting different from general AI consulting?
- General AI and machine-learning consulting often centers on predictive models, data pipelines, and analytics. Generative AI consulting is specifically about LLMs and agents: retrieval (RAG), fine-tuning, agentic automation, and the evaluation and guardrails they need. The toolset and the failure modes are different.
- What does a typical engagement include?
- Discovery to find the high-ROI use cases, a fast prototype to prove value, a production build (a RAG assistant, an agent, an automation), and a handoff so your team owns it. See how I work
- Do I need a generative AI consultant if I already have engineers?
- Often, for the first features. A consultant de-risks and accelerates the hardest parts (architecture, evals, guardrails), then hands off. For software teams putting AI inside their own product, it is a slightly different job. AI integration for software companies
- What about automating internal work?
- That is usually the fastest, lowest-risk win: automating repetitive internal work like triage, drafting, and document processing, measured in hours saved. What an AI automation consultant does
- How do you keep AI safe and compliant?
- Through governance: guardrails, PII handling, evals, and human-in-the-loop review so cautious and regulated teams can adopt AI without betting the company. AI governance consulting
- How do I choose the right provider, and what does it cost?
- Pricing ranges from day rates to fixed projects to fractional or embedded work. Fit matters more than price: look for someone who has shipped your kind of problem and lets your team own the result. How to choose an AI consulting company
Not sure where AI fits in your business?
That's the conversation. Tell me what you're working on and I'll tell you straight what's realistic, what it costs, and whether it's even worth doing.
Book a working session