AI that ships. Not AI theater.
I’m an AI consultant and Fractional Chief AI Officer helping startups and growing teams turn messy AI ideas into products that actually work, from strategy and architecture to agents, RAG, automation, LLMOps, and production deployment.
No pitch. No deck. Bring one AI problem. Leave with a clearer next move.
Arpan Ghoshal
AI Strategy · Product Engineering · Production AI
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I work end-to-end across the AI stack: data, backend, product, models, LLM integration, infrastructure, MLOps, and APIs. You get one technical owner from architecture through production.
What does Arpan Ghoshal do?
Arpan Ghoshal offers AI consulting and Fractional Chief AI Officer services for startups and growth companies. He helps teams define AI strategy, build AI agents, RAG systems, AI products, and production-ready LLM infrastructure. Hands-on execution from roadmap to deployment, not just advice.
Strategy and execution
Senior AI direction plus hands-on building. One accountable person, zero handoffs.
Built for outcomes
Revenue, efficiency, and speed, not AI for its own sake.
From idea to production
AI strategy, GenAI, agents, RAG, automation, and systems that survive real users.
- Master’s at NYU in Computing, Entrepreneurship & Innovation
- Deep learning research under Yann LeCun
- Open-source AI: EmoRoBERTa on Hugging Face
- Production ML across startups and enterprise
Most AI projects don’t fail because of the model.
They fail because the problem was poorly defined, the architecture got overcomplicated, the data wasn’t ready, or nobody owned the full journey from idea to production. That’s where I come in.
I work across product, engineering, AI, and business so you don’t need five different people trying to connect the dots.
I help companies answer the questions that matter early:
- Where can AI actually create leverage in this business?
- What should we build first?
- What should stay human?
- What architecture gives us speed now without hurting us later?
- How do we make this reliable, measurable, and worth the cost?
What you get
- ✓Clear AI direction tied to business outcomes
- ✓Senior hands-on execution, not just recommendations
- ✓Faster shipping with production-minded engineering
- ✓Systems built for reliability, observability, and scale
Three Ways to Work With Me
Every engagement is scoped around an outcome, not a list of hours. Most companies start in one of these three places.
AI Strategy Sprint
Find the highest-value AI opportunity. Leave with a roadmap.
A focused engagement to identify where AI actually creates leverage in your business: use-case prioritization, ROI thinking, architecture and model decisions, and an implementation roadmap your team can execute.
Best for: teams that need clarity before they invest in building.
AI Build & Production Sprint
Take an idea or prototype to production.
Hands-on design and engineering of agents, RAG systems, automation, and AI product features, including evals, observability, and deployment, until it works for real users, not just in the demo.
Best for: teams with something to ship, or something to rescue.
Fractional AI Leadership
Senior AI direction, ongoing. Without the full-time hire.
Part-time Chief AI Officer: roadmap ownership, model and vendor decisions, architecture oversight, and hands-on execution support so AI investments stay tied to business outcomes.
Best for: companies that need accountable AI leadership across quarters, not weeks.
Not sure which one fits? That's exactly what the call is for.
What Goes Into an Engagement
The three engagements above draw from the same capability stack. Here is the full picture.
You know AI matters. You just don’t need another 60-slide strategy deck. I help identify the highest-value opportunities, choose the right technical approach, and keep execution tied to business outcomes. Best for founders and teams that need senior AI direction without hiring a full-time CAIO.
Fractional Chief AI Officer / AI Strategy Advisor
I help leadership teams turn AI from a vague priority into a focused roadmap. That includes identifying the highest-value use cases, deciding what to build first, choosing the right technical approach, and making sure AI investments connect to real business outcomes.
AI Opportunity Mapping and Roadmapping
I help you evaluate workflows, products, and internal operations to identify where AI can actually create leverage. The result is a clearer priority stack, fewer wasted experiments, and a roadmap built around value instead of hype.
Got an AI idea sitting somewhere between “cool demo” and “how the hell do we ship this?” I help turn it into a real product, designed around the actual problem, not whatever framework is trending this week.
AI Agents and Workflow Automation
I design and build AI agents that do useful work across your tools, data, and internal processes. From research and support to operations, sales, and back-office workflows, the goal is less manual effort, faster execution, and better consistency.
AI Product Development and AI Features
I design and build AI products and AI features that improve user experience, automate high-value work, or create new capability inside your product. Not thin wrappers. Real product thinking, real engineering, real production behavior.
RAG and Enterprise Search
I build retrieval systems that connect your documents, knowledge, and internal data to LLMs so answers are grounded, relevant, and useful. That includes chunking, indexing, permissions, ranking, evaluation, and response quality.
Voice AI Agents
I build real-time voice agents for support, intake, booking, sales, and internal workflows, with low latency, tool use, and clear human handoff when needed.
The prototype worked. Production had other plans. I help teams improve reliability, evaluation, observability, latency, hallucination control, and inference cost so AI systems can survive real users.
LLMOps, Evals, and AI Infrastructure
I set up the foundations your AI product needs in production: orchestration, model routing, prompt and version management, evaluation pipelines, observability, guardrails, fallbacks, and cost controls.
AI Architecture, Refactoring, and Reliability
I fix messy AI systems, untangle weak architecture, clean up fragile code, and improve the reliability of products that already exist. This includes bugs, edge cases, poor monitoring, brittle prompt flows, and systems that are hard to maintain.
AI Cost Optimization
I reduce wasted inference spend, improve latency, and put the right controls in place so your AI features scale without becoming expensive or unpredictable.
Selected Client Outcomes
Client identities and project details are withheld due to confidentiality.
Less manual workflow time
Designed and deployed an AI-assisted workflow for an operations-heavy process, with automated extraction, validation, and human review working together instead of people copy-pasting between tools.
Lower LLM inference spend
Optimized model selection, routing, prompts, and caching for a production AI system, keeping the same output quality at a meaningfully lower cost.
Prototype taken to production
Reworked architecture, evals, observability, and deployment for a live AI system that was stuck at the demo stage and failing with real users.
AI roadmap turned into execution
Turned ambiguous business requirements into a prioritized AI roadmap and an implementation plan the team actually shipped.
Happy to walk through how any of these results were achieved on a call.
How I Work
Strategy when you need clarity. Engineering when you need execution.
Understand the problem
We start with the business outcome, users, constraints, data, and economics, not the model.
Design the right solution
Architecture, models, tools, integrations, evaluation, cost, and a clear delivery plan.
Build and ship
Hands-on implementation. Not just recommendations.
Measure what matters
Reliability, adoption, cost, time saved, quality, and business impact.
Free Consultation
Got an AI problem? Let’s unpack it.
Book a free 30-minute AI Strategy Call. Bring one real challenge: an idea you’re evaluating, a prototype that isn’t working, a workflow you want to automate, or a production system giving you headaches.
We'll use the call to:
- ✓Clarify the actual problem
- ✓Pressure-test your current approach
- ✓Identify the biggest technical or product risks
- ✓Map out what I would do next
If I can help, I’ll explain how. If I can’t, I’ll tell you that too.
Best for founders and teams actively evaluating, building, or fixing an AI initiative.
30 minutes · Remote · No obligation · No hard sell
AI Insights
Practical perspectives on AI strategy, product building, and innovation from my YouTube channel.
Frequently Asked Questions
I help companies figure out where AI can create real value, pick the right technical and product approach, and then I build or improve the systems needed to ship it successfully.
I provide senior AI leadership without the cost or commitment of a full-time executive hire. I handle roadmap planning, use case prioritization, model and vendor decisions, architecture oversight, and making sure AI work aligns with business goals.
Yes, I do both. I work across strategy, roadmap, system design, prototyping, production implementation, reliability improvements, and ongoing advisory.
I build AI agents, workflow automation, AI product features, RAG and enterprise search, voice agents, evaluation systems, LLM infrastructure, and the supporting architecture around them.
Absolutely. I improve AI codebases, fix architecture issues, harden unreliable systems, add missing infrastructure, and help move prototypes into production.
Founders, product teams, operations leaders, and growth companies that want AI to create measurable results instead of staying stuck at the demo stage.
I start with the business problem first. I prioritize use cases that can improve revenue, reduce operational drag, improve customer experience, or create a meaningful speed advantage.
Pricing depends on scope and engagement type. A focused project like building an AI agent or RAG system is scoped with a fixed fee. Fractional CAIO engagements are typically monthly retainers. Every engagement starts with a free 30-minute strategy call to understand your needs and determine fit.
A fractional CTO oversees all technology decisions across engineering, infrastructure, and product development. A fractional Chief AI Officer focuses specifically on AI strategy, AI product development, model selection, LLMOps, and making sure AI investments connect to measurable business outcomes. I operate as a fractional CAIO.
It varies. A focused build project like an AI agent or RAG system typically takes 4 to 8 weeks. Fractional CAIO engagements are usually 3 to 6 months. Some companies keep me on retainer for ongoing advisory and architecture oversight.
Both. I work with early-stage startups that need to go from idea to AI-powered MVP fast, and with growth-stage companies that need to add AI capabilities to an existing product or operation. The common thread is that the company wants real outcomes, not just experiments.
I am model-agnostic and work across OpenAI, Anthropic Claude, Google Gemini, open-source models like Llama and Mistral, and specialized models depending on the use case. I also work with vector databases, orchestration frameworks, evaluation tools, and cloud infrastructure needed to run AI in production.
Less AI hype. More AI that works.
Whether you’re starting from an idea, fixing a prototype that isn’t working, or scaling something already in production, let’s figure out the fastest sensible path forward.
Arpan Ghoshal · AI Consultant | Fractional Chief AI Officer | AI Strategy Advisor