Your board asked for an AI strategy. Your team is stuck on POCs. You need one senior owner for AI who ships code, not slides. Get one fractional before you commit to a full-time hire.
Three pillars, one owner accountable to the board.
A real Chief AI Officer role covers strategy, deployment, and governance. Not one of them. All three. Most mid-market brands try to split these across the CTO, an ops lead, and a consulting firm — and the seams are where AI investments quietly die.
A written roadmap tied to real KPIs. Not a slide deck — a prioritized backlog with sequencing, dependencies, and expected impact per initiative.
Custom agents, tool-use integrations, evals, and production hardening. We ship real code into your Claude, Copilot, or Anthropic-native stack.
Guardrails, human-in-the-loop review, GDPR/SOC 2 posture, and observability. Your board and legal team get the answers they need before shipping.
Because at $10M to $100M you need CAIO-caliber ownership, not a CAIO-caliber salary.
The Math
Full-time Chief AI Officer salaries at Series B and later are running $300K-$500K plus equity. You do not know if the role scales for you until you have shipped and measured. A fractional engagement is 10-20 hours a week of senior ownership at a fraction of the fully loaded cost — with the option to convert if the role earns its keep.
Claude-native. Copilot-fluent. Anthropic-first. Real production code.
We are independent — not aligned to any single vendor — but we lead with the tools that actually deliver at mid-market. The rest of the stack we integrate into whatever you already run.
What changes inside the first two quarters.
Measured against baseline operator time on repetitive workflows across 20+ shipped engagements.
Leadership finally has a single owner for the AI roadmap instead of a diffuse "everyone should try Copilot" push.
Real agents, real evals, real integrations. Not another consulting deck with recommendations you have to implement yourself.
Documented, maintainable, on your infrastructure. When we hand off, your team can extend it.
Client testimonials from founders, operators, and executives who've relied on AiSolv for delivery, systems, and AI implementation.
Justin Berkovi
VP of Product / Hilo
Dhruv was a fantastic asset to our team and delivered quality work on time and communicated at all times very well to ensure we got the outcome we needed. Highly recommended and would definitely work with them again.
Jeff Krahel
Founder / Playbook Technologies
He's awesome!
Jose Coira
VP of Global Business Development / Casa Maestri
Had a great experience with Dhruv - he was great at communicating and understood exactly what we needed to build out. This unblocked a critical part of our operations, and I'm grateful for it. Thank you.
Serdar Pala
Founder / Kamiki Global
Solution-oriented and accountable for outcomes.
Yijia Shao
Doctor of Philosophy / Stanford University
Enjoyed working together.
Josh Ablett
CISO / Adelia Risk
Great job, thank you!
Brandon Leeds
Cofounder / Nothing Products
5 Stars!
Kashif Saleem
Founder / Trackem
Great work.
Jim Umlauf
Founder / 4Knines
Dhruv did an outstanding job helping me improve and refine my automation workflows. He is extremely thorough, detail-oriented, and brings a forward-thinking, strategic mindset to every part of the project. What stood out most was his…
Marius Tyranowski
Owner & CEO / Reply42
Game-Changing AI Partner! Dhruv doesn’t just deliver - he thinks like a true business partner, deeply invested in our success. He transformed our ideas into powerful, efficient AI solutions that worked flawlessly. Fast, innovative, and…
Alex Ledingham
Cofounder / AuraReveal
Dhruv was excellent to work with. Clear communication, fast turnaround, and the quality of the work was exactly what I wanted. He understood the brief quickly, asked the right questions, and delivered on time without needing constant back…
Jon Westrom
Owner & Broker / Westrom Group
What a blessing it was to find Dhruv, I have hired over 30 or 40 vendors and he is head and shoulder above the others. Very professional, timely and the quality of the work is beyond good, its outstanding. I am very satisfied with the end…
Peter Townsend
Owner & CEO / Ballyhoo Investments
Dhruv is an excellent engineer and systems architect. He went above and beyond my expectations. He embeds himself in the project and feels like a team player.
Dorian Ho
Founder & CEO / WatchGod
Thank you Dhruv for helping out on our automation system. Incredible experience, he knew exactly what needed to be done and also improvised on the solution to meet our needs. Looking forward to continue working with him!
Clayton Wood
CEO & Owner / Volado Labs
Dhruv is great! He's very smart and works quickly. Doesn't just complete tasks but contributes to the strategy and plan as well.
Questions we get on Fit Calls.
A Chief AI Officer owns AI strategy, deployment, and governance across the organization. They set the roadmap, choose the stack, make the buy-vs-build calls, run evals, and are accountable to the board for AI outcomes. It is a real executive role, not a marketing title.
A fractional CAIO gives you senior-level ownership without a $300-500K/year commitment before the strategy is even proven. You get the same roadmap, the same production deployments, and the same board reporting, delivered in 10-20 hours per week. If the role scales to full-time, we help you hire your permanent CAIO and hand off.
Consulting firms deliver decks. We deliver code. A fractional CAIO is an operating role — we own the deployment end-to-end, not just the recommendation. When the AI system breaks in production, we are on call.
Mid-market operators, roughly $10M to $100M in revenue. Big enough that AI matters and the board is asking about it. Small enough that a full-time CAIO does not yet pencil out.
Claude API and the broader Anthropic ecosystem (Claude Code, MCP, Agent Skills, tool use, structured outputs) is our primary stack. We also ship on Microsoft Copilot, Copilot Studio, Power Automate, and Azure OpenAI when the client environment calls for it. For workflow automation we work in n8n, Make, and Zapier.
Every engagement starts with 3 to 5 measurable KPIs tied to operator time, revenue, or margin. We instrument before we ship, publish a scorecard weekly, and course-correct against the numbers. No vanity metrics.
Days 1 to 30: audit your current AI footprint, licensing, and pain points. Days 30 to 60: ship the first high-ROI production deployment. Days 60 to 90: instrument evals, hand off the operating manual, and stack the next three initiatives in the roadmap.
Yes. We work with mid-market B2B and D2C operators across ecommerce, contracting, medical device, and professional services. Testimonials from active clients are on this page. Live references available on request during a Fit Call.
Tell us what is stuck. We tell you whether a fractional CAIO fixes it or whether you need something else. Zero pressure to sign anything.