{ "meta": { "name": "Conrad Banks", "firm": "Conrad Banks Advisory", "title": "AI Transformation Advisor for Life Sciences", "email": "cbankslead@gmail.com", "location": "New Jersey · serving clients across the US and Europe", "linkedin": "https://www.linkedin.com/in/conrad-banks/", "bookingUrl": "https://calendar.google.com/calendar/appointments/schedules/AcZssZ0wnszUHbIwwJ6olU18Cw4w2UDhG0enKvYutI6sxcT7lwsNIvd8EZm62dxiO47iEgYUcUQLlI2J", "bookingEmbedUrl": "https://calendar.google.com/calendar/appointments/schedules/AcZssZ0wnszUHbIwwJ6olU18Cw4w2UDhG0enKvYutI6sxcT7lwsNIvd8EZm62dxiO47iEgYUcUQLlI2J?gv=true", "callLength": "30 min", "callFormat": "Google Meet" }, "hero": { "eyebrow": "AI transformation for pharma Medical & Commercial", "headline": "Move AI from pilot to operating model.", "sub": "I help life sciences leaders redesign how work gets done with AI, with the governance to scale it safely. Twenty years inside BMS, Pfizer, Sanofi and Bayer, and the tools to prove it.", "finder": { "focus": [ "Medical Affairs", "Commercial", "HEOR & Market Access", "Enterprise operations" ], "stage": [ "Exploring where AI fits", "Running pilots", "Scaling across markets", "Governing what we have" ], "timeline": [ "This quarter", "Next 6 months", "Planning for next year" ] } }, "stats": [ { "value": 40, "suffix": "%", "label": "productivity gain from an AI-enabled medical content model at Bayer" }, { "value": 900, "suffix": "+", "label": "users in 30+ markets on the BMS Global Medical Insights Engine" }, { "value": 150, "prefix": "$", "suffix": "M", "label": "global HEOR portfolio directed at Bristol-Myers Squibb" }, { "value": 380, "prefix": "$", "suffix": "M", "label": "P&L supported for an 800-person Pfizer medical organization" } ], "services": [ { "id": "readiness", "name": "AI Readiness Sprint", "length": "2–3 weeks", "for": "Leaders who need a clear answer on where AI pays off first", "summary": "A fast, evidence-based look at your Medical or Commercial workflows to find the three to five AI use cases with the strongest value and the lowest regulatory risk.", "outcomes": [ "Use-case portfolio scored on value, feasibility and risk", "Baseline metrics for each priority workflow", "90-day roadmap your leadership team can approve" ], "art": "spark" }, { "id": "operating-model", "name": "AI Operating Model Design", "length": "6–10 weeks", "for": "Organizations with pilots that are not yet changing how work is done", "summary": "Redesign roles, workflows and decision rights around AI, then stand up the agents, prompt libraries and dashboards that make the gain measurable.", "outcomes": [ "Target operating model and workforce sizing", "Redesigned workflows with AI agents in production", "KPI dashboard that proves productivity and cycle-time gains" ], "art": "grid", "featured": true }, { "id": "governance", "name": "AI Governance Blueprint", "length": "4–6 weeks", "for": "Regulated teams that need to scale AI without new compliance exposure", "summary": "Practical governance built for pharma Medical and Commercial work, aligned to the EU AI Act, NIST AI RMF and ISO/IEC 42001.", "outcomes": [ "Risk-tiered policy and review workflow", "Model and use-case inventory with owners", "Bias guardrails and human-in-the-loop controls" ], "art": "shield" }, { "id": "command-center", "name": "Transformation Command Center", "length": "Ongoing partnership", "for": "Executives running a multi-workstream transformation", "summary": "A single source of truth for initiatives, KPIs, risks and stakeholder communication, run by AI agents that cite their sources, plus a senior advisor at the table.", "outcomes": [ "Live portfolio, value and risk tracking", "SteerCo-ready briefings generated from one data model", "Fractional transformation leadership" ], "art": "orbit" } ], "capabilities": [ { "name": "AI operating models", "detail": "Roadmaps, redesigned workflows, AI agents and prompt libraries that move work into production.", "tags": [ "Agentic workflows", "Prompt libraries", "Content automation" ] }, { "name": "AI strategy & governance", "detail": "Governance that lets regulated teams adopt AI with confidence.", "tags": [ "EU AI Act", "NIST AI RMF", "ISO/IEC 42001" ] }, { "name": "Enterprise transformation", "detail": "Organization redesign, workforce sizing, OKRs and planning tied to financial targets.", "tags": [ "Org design", "OKRs", "Portfolio management" ] }, { "name": "Medical & Commercial excellence", "detail": "MSL models, medical insights, omnichannel engagement and HEOR operations.", "tags": [ "Field Medical", "Medical insights", "HEOR" ] }, { "name": "Ecosystem orchestration", "detail": "Aligning Medical, IT, Legal, R&D and Analytics behind one platform.", "tags": [ "Cross-functional alignment", "Product ownership", "Vendor strategy" ] }, { "name": "Change leadership", "detail": "Adoption programs that get people to actually use what was built.", "tags": [ "SAFe", "Agile-Scrum", "Lean / VSM" ] } ], "demos": [ { "id": "lab", "name": "Insight Lab", "from": "Global Medical Insights Academy", "pitch": "Draft a medical insight record and watch it get scored live against a five-point quality standard, with compliance flags and a suggested next best action.", "try": "Pick “Load a weak example”, then fix it until it passes.", "url": "https://academy.banksbow.com/#lab", "home": "https://academy.banksbow.com/", "thumb": "assets/demo-lab.jpg" }, { "id": "ascend", "name": "ASCEND Command Center", "from": "Transformation operating system", "pitch": "Six specialist AI agents track a $540M pharma transformation from one source of truth. Run an agent mission or ask Sage a question and get a cited answer.", "try": "Open the Agent Console and press “Run end-to-end mission”.", "url": "https://ascend.banksbow.com/#/agents", "home": "https://ascend.banksbow.com/", "thumb": "assets/demo-ascend.jpg" } ], "testimonials": [ { "name": "Dave Nirschl", "title": "Head of Research Systems Engineering, J&J · IT partner on the BMS insights platform", "quote": "Conrad displayed incredible strength in assembling and leading matrixed teams across the broad Medical organization… the accomplishments of 2019 are still paying massive dividends in 2024.", "short": "The accomplishments of 2019 are still paying massive dividends in 2024." }, { "name": "Shanida Nataraja", "title": "Senior Director, Real-World Practice, AXON · worked with Conrad for nearly 7 years", "quote": "He not only devised high-level strategies but also ensured their seamless execution, bridging the gap between vision and reality.", "short": "He not only devised high-level strategies but ensured their seamless execution." }, { "name": "Greg Sapnar", "title": "Learning & Development leader · BMS Global Medical Insights team", "quote": "Conrad has an intuitive ability to manage complexity by breaking it down into actionable steps to focus the team.", "short": "An intuitive ability to manage complexity by breaking it down into actionable steps." }, { "name": "Marc Mikhail", "title": "Pharmaceutical Medical Leader · Sanofi, global MSL of the Future initiative", "quote": "As the architect behind the framework for this transformative initiative, Conrad was instrumental in guiding the team through an ambitious global effort.", "short": "The architect behind the framework for this transformative initiative." } ], "career": [ { "years": "2025–2026", "role": "Transformation Head, AI Implementation", "org": "Bayer Pharmaceuticals · U.S. Medical Affairs (Consultant)", "result": "Built the AI-enabled operating model for U.S. Medical Content Creation: 40% productivity gain and $2.5M in savings." }, { "years": "2017–2025", "role": "Senior Director, Strategy & Operations", "org": "Bristol-Myers Squibb · Global HEOR", "result": "Led a 100-person team launching the Global Medical Insights Engine to 900+ users in 30+ markets; directed a $150M portfolio." }, { "years": "2015–2017", "role": "Head, Global Field Medical Operations", "org": "Sanofi · Diabetes & Cardiovascular", "result": "Redesigned the MSL operating model and CRM-driven engagement for a 20% engagement uplift." }, { "years": "2008–2015", "role": "Chief of Staff, Global Medical Affairs", "org": "Pfizer · Global Innovative Products", "result": "Ran strategy for an 800-person medical organization with a $380M P&L; built a CoE that saved about $50M." }, { "years": "1999–2007", "role": "AVP & Chief of Staff · Senior Project Controller", "org": "JPMorgan Chase · Deloitte Consulting", "result": "Branch network growth with +60% efficiency and +40% revenue impact." } ], "callAgenda": [ { "t": "Where you are", "d": "Your goals, current AI efforts and what is getting in the way." }, { "t": "Where the value is", "d": "Two or three opportunities I would look at first, and why." }, { "t": "A clear next step", "d": "A recommended path, whether or not we work together." } ], "faq": [ { "q": "Who do you typically work with?", "a": "Heads of Medical Affairs, Commercial, HEOR and transformation offices at pharma and biotech companies, from mid-size organizations to global top-20." }, { "q": "What does the discovery call cost?", "a": "Nothing. It is a 30-minute conversation to understand your situation and decide together whether there is a fit." }, { "q": "Do you build the tools or only advise?", "a": "Both. I design the operating model and governance, and I build working prototypes, agents and dashboards so your teams can see the change before you fund it at scale." }, { "q": "How do you handle regulatory and compliance risk?", "a": "Governance is designed in from the first week, aligned to the EU AI Act, NIST AI RMF and ISO/IEC 42001, with Medical, Legal and Compliance reviewers involved early." }, { "q": "Can you work alongside our existing consulting partners?", "a": "Yes. I often act as the client-side transformation lead, keeping vendors, IT and the business aligned on one plan." } ], "ticker": [ { "v": "40%", "l": "productivity gain · AI content model", "org": "BAYER" }, { "v": "900+", "l": "users on an AI insights engine", "org": "BMS" }, { "v": "30+", "l": "markets live", "org": "BMS" }, { "v": "$2.5M", "l": "savings from AI & offshore delivery", "org": "BAYER" }, { "v": "$150M", "l": "global HEOR portfolio", "org": "BMS" }, { "v": "$380M", "l": "P&L supported", "org": "PFIZER" }, { "v": "~$50M", "l": "saved by a marketing CoE", "org": "PFIZER" }, { "v": "20%", "l": "engagement uplift", "org": "SANOFI" } ] }