Highlights
Flagship work
Three flagships that turn goals into outcomes
A governed AI platform that turns plans into funded decisions, launch dashboards that turn data into action, and one AI prioritization rule that turns evidence gaps into a ranked plan. Open the portfolio
- Interactive demo

Flagship platform · AI-enabled Medical Affairs operations
MPM Control Tower
One governed place for tactics, budgets, travel, approvals and investment decisions, with about 170 rules, knowledge graphs and MAESTRO agents behind every answer.
- Interactive demo

Launch dashboards · Data visualization
Launch Excellence & Data Visualization
Medical launch dashboards that put cross-functional launch signals on one page: initiation and titration, field medical engagement, adverse-event themes and a weekly performance view.
- Interactive demo

AI prioritization · Microsoft Copilot
Gap Assessment & AI Prioritization
One transparent prioritization rule for the Eye Care, TNT and Therapy Area 3 gap assessments (Anchor 6), developed with Microsoft Copilot in PowerPoint, Word and Excel, so every market ranks evidence gaps against strategic themes.
- Interactive demo

Stakeholder intelligence · Knowledge graph
Stakeholder Intelligence Map
Who shapes the evidence, not who publishes most: a 0–100 influence score on 11 transparent dimensions, a network map of guideline committees and the engagement gaps to close first.
Try it yourself
Six live demos to run in your browser
Simulated versions of the MPM Control Tower, MAESTRO, the Retina Evidence Hub, the gap assessment and the weekly launch dashboards run in your browser on invented sample data, with every screen and interaction, and the D3 data story is the live original.
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Interactive demo
Governed AI platform · sample data
MPM Control Tower
Sixteen working screens: tactics and risk, travel and expense, prioritization sliders, knowledge graphs, approvals, Asana and Smartsheet sync and MAESTRO agents.
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Interactive demo
Human-agent team · sample data
MAESTRO agentic AI
Five modes, a planner routing work to expert agents, visible tool calls, a coverage check and an LLM judge with one bounded retry, then a cited report.
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Interactive demo
AI automation workflow · sample data
Retina Evidence Hub
Queue a source in Literature Library, watch a scripted agent review it step by step, approve it and publish it to a searchable evidence hub.
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Interactive demo
Gap assessment · sample data
Gap assessment & AI prioritization
Score sample evidence gaps on a weighted framework, run a scripted AI prioritization, accept or override it and compare region and affiliate votes.
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Live chart
Data visualization · D3.js
Narrative data visualization
Three annotated scenes walk you through US causes of death from 2000 to 2017, then the chart opens up for you to explore 18 causes by gender and race.
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Interactive demo
Launch dashboards · synthetic data
Medical launch dashboards
Three weekly dashboards, cross-functional, field medical and performance, with a slider from week 1 to week 12 that moves every chart.
Explore
Pick a page
Every part of the site has its own page, so you can go straight to what you came for.
- PortfolioFeatured work in nine areas, from congress and stakeholder intelligence, agentic AI and automation to ML Ops, process mining, data visualization and mobile apps.Open →
- AI practiceHow I run AI transformation: five moves, from the outcome to adoption.Open →
- Skills & ExperienceAbbVie, Abbott and Cognizant on one roadmap, and the skills behind the work.Open →
- CertificationsPMP, usability, Six Sigma, Agile and Asana credentials, a patent and awards.Open →
- CommunityCommunities of practice and champion roles where I help others adopt AI.Open →
- ResumeProfile, experience, education, certifications and skills on one printable page.Open →
- How I built this websiteHow this site was designed and built with Enterprise Claude Code.Open →
Questions
Frequently asked questions
Short answers about the work, the results and how to get in touch.
Who is Sembian Balasubramanian?
Sembian Balasubramanian is a portfolio, program and strategic operations director in biopharma, based in Chicago, who leads AI transformation and governance in Medical Affairs. His 24+ years span software engineering at Cognizant, digital learning at Abbott and Medical Affairs program management at AbbVie.
What does he specialize in?
AI transformation and adoption, governed generative and agentic AI with human review, portfolio and program management (PMO), Medical Affairs operations and launch readiness, congress and stakeholder intelligence, process mining, machine learning forecasting and data visualization.
What results has he delivered?
537+ projects and a $30M+ budget planned and tracked across five cost centers (2019–2026); budget variance cut 20% across $10M in portfolios with a random-forest model in production; about $12M in estimated cost avoidance (2011–2026, not audited); and sole inventor of US Patent 9,098,680.
What is the MPM Control Tower?
A governed decision platform for Medical Affairs leaders. About 170 validation rules compute every figure for tactics, budgets, travel, approvals and investment decisions, and generative AI explains the results through knowledge-graph retrieval instead of producing numbers.
Can I try the work myself?
Yes. Ten interactive demos run in the browser on synthetic data, including the MPM Control Tower, MAESTRO agentic AI, the Retina Evidence Hub, the gap assessment, launch dashboards, the SmartSync forecasting model, process mining, the Stakeholder Intelligence Map and a congress competitive intelligence notebook.
How does he use AI responsibly?
Rules compute the numbers, models forecast, and people make the final call. Agent outputs carry citations, missing sources are flagged rather than filled in, and medical reviewers approve what reaches leadership.
How can I contact him?
By email or LinkedIn, both on the Contact page. The site does not publish a phone number.




