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🤖AI Tooling Consult
1-on-1 consulting for healthcare product analysts and researchers looking to incorporate AI into their workflows. From automating repeatable tasks with LLM agents to analyzing and visualizing portfolio-level data for product insights — learn how to build concrete artifacts that demonstrate your value beyond certifications and job descriptions.
$25/hr1-2 hours per session
Are you trying to use AI agents in your day-to-day and don't know where to start?
Do you work in healthcare? Are you trying to turn your portfolio data into published insights?
No more...
- Manually compiling competitive landscape reports across your device or drug portfolio
- Copy-pasting FDA data into spreadsheets to track regulatory trends
- Spending hours formatting the same recurring deliverables for stakeholder reviews
- Watching colleagues talk about "leveraging AI" in meetings without anyone showing concrete results
- Wondering if another certification is really what's going to set you apart
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See examples of what this looks like ↓
What you get
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A working AI workflow built on your actual tasks
Not a generic demo. We take one of your repeatable deliverables — portfolio reports, regulatory tracking, data summaries — and automate a meaningful chunk of it live in the session.
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A publishable artifact that proves your value
Leave with a dashboard, analysis, or MVP you can put on LinkedIn, show your manager, or add to your portfolio. Something concrete that says "I can do this" louder than any certification.
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The skill to replicate this yourself
How to document a process, choose the right LLM tool, prompt effectively, and iterate. You won't need me for the next one.
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Book a session → Pick a time that works for you
Real results from real healthcare workflows
These are real projects I built using the same approach I teach in sessions — taking a manual healthcare data workflow and turning it into something automated and shareable.
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FDA Complete Response Letter Analyzer
Before: Manually reading CRL documents, extracting deficiency themes, summarizing trends in PowerPoint for portfolio reviews.
After: An AI-powered analyzer that ingests CRL documents, categorizes deficiency patterns, and produces interactive visualizations — in minutes.
→ See it live
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SaMD Clearance Visualization
Before: Downloading FDA's AI/ML device list as a spreadsheet, manually filtering to understand which companies are getting clearances and in what clinical areas.
After: An interactive visualization mapping the entire SaMD clearance landscape — filterable by company, specialty, year, and decision pathway.
→ See it live
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Continuous Glucose Monitor Dashboard
Before: Raw CGM exports sitting in CSV files. No easy way to spot trends, correlate with meals, or share insights.
After: A data pipeline that transforms raw glucose readings into time-in-range analysis, trend visualizations, and shareable dashboards.
→ See it live
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CADe/CADt Regulatory Sentiment Analysis
Before: 20 PDF public comment submissions on an FDA docket. Manually reading each one and trying to synthesize stakeholder positions.
After: An interactive intelligence brief with sentiment distribution, stakeholder breakdowns, filterable submitter cards, recurring theme analysis, and executive takeaways — built in a single session.
→ See it live
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Hi, I'm Prahlaad Ram. I work at Innolitics, where I build AI-powered tooling for FDA regulatory workflows and medical device data analysis. My background spans healthcare technology, clinical research, and software development — from managing clinical trial data tools at VivoSense to building SaMD regulatory intelligence platforms. I use AI agents in my own product work every day, and I help others do the same.
I take on 4-5 clients per month alongside my full-time role.
How it works
- You share your role and what's eating your time. Product reports? Regulatory tracking? Portfolio analysis? We start with what's real for you.
- We pick 1-2 workflows that are high-effort and repeatable. These are the best candidates for AI — tasks you do weekly or monthly that follow a pattern.
- You document the process as if training someone new. This is the key insight — the same clarity that makes a good SOP makes a great AI prompt.
- We feed it to an LLM agent and iterate live. You'll see your workflow get automated in real time, and learn the prompting patterns to replicate it.
- You leave with a working artifact and a repeatable playbook. A prototype, a dashboard, an analysis — something you can share, publish, or present to leadership.