MORPHEOS INNOVATION

AI Strategy & Custom Implementation Consulting

APPROACH
SERVICES AI Strategy, Governance & Compliance System Design & Implementation Biotech & Commercialization
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The right strategy. The right tools.

We don't just tell you what's possible - we build the tools that make it real. We'll help you navigate the complexities of AI and empower you with the right tools, governance, and training tailored to meet your team's specific needs.

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Chat with our AI assistant—ask about AI strategy, governance, or custom builds. Click a prompt or type your own.

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Welcome to Morpheos! How can I help you today?
AI Coaching Process

APPROACH

It starts with deep listening. Before recommending tools or strategies, I immerse myself in how your organization actually operates. That understanding shapes everything that follows: strategy, implementation, and beyond as the AI landscape continuously evolves.

DISCOVER
Map workflows, analyze known problems, surface hidden ones.
Understand where you are—and what's been hiding in plain sight.
DESIGN
Develop strategy & policy. Identify software, hardware, & training needs.
Define what to build, what to buy, and what to skip.
DEPLOY
Implement policy, tools, and training.
Put it into practice—with guardrails that actually work.
EVOLVE
Measure outcomes, observe trends, respond to changes as the field develops.
Morpheos is your ongoing partner to help you adapt as the landscape rapidly shifts.
Thinking outside the box

SERVICES

AI Strategy, Governance & Compliance

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  • Workflow, Data & Risk Assessments: Map real operational processes and data flows to uncover bottlenecks, inefficiencies, compliance exposure, and high-leverage opportunities for AI.
  • AI Strategy & Roadmapping: Define what should be automated, what shouldn't, and how to roll out AI in a way that scales without chaos.
  • AI Governance, Privacy & Compliance: Develop responsible-use policies, privacy documentation, internal data standards, approval paths, and risk controls. Support BAA negotiation and design HIPAA-safe workflows.
  • Organizational AI Operating Models: Establish clear roles, workflow standards, and cross-functional alignment to reduce AI slop and inefficiencies.

System Design & Implementation

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  • Custom AI Tool Development: Build structured data pipelines, custom AI tools, AI agents, and automation architectures that deliver predictable, high-quality outputs.
  • Competitive Intelligence: Customized market intelligence research tools and databases to track competitors, discover new customers, and identify strategic opportunities
  • Team Training & Rollout Management: Train teams to use AI effectively, consistently, and safely—without fragile prompt chains or ad-hoc workarounds.
  • Prototype-to-Deployment Support: Design and prototype AI-native applications when off-the-shelf solutions can't meet operational or compliance requirements.

Biotech & Commercialization Expertise

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  • Market Strategy & Competitive Analysis: Consult with startups and venture groups on market positioning, competitive intelligence, and deep-tech commercialization.
  • Scientific Due Diligence: Deliver clear, critical reviews of preclinical/clinical evidence and study design for investors and tech transfer offices.
  • Go-to-Market Roadmaps: Build step-by-step plans from target validation through IND filing, enriched with KOL input.

TESTIMONIALS

FREQUENTLY ASKED QUESTIONS

Who needs an AI implementation consultant?

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  • I work with mid-sized companies, venture-backed startups, and enterprise teams—particularly those in biotech, healthcare, professional services, and knowledge-intensive operations. If your team handles complex workflows, sensitive data, or is exploring AI for the first time, we're likely a good fit.

What's the difference between AI strategy consulting and AI implementation?

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  • I do both. Strategy defines what to automate, what to skip, and how to roll out AI without chaos. Implementation is building the actual tools, workflows, and governance frameworks. Many clients engage me for end-to-end work: discovery through deployment.

Should I hire an AI consultant or a developer?

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  • Off-the-shelf tools solve generic problems. Developers build what you spec—but someone has to define the right spec. I bridge strategy and execution: I understand your operations deeply, then design and build solutions that fit your workflows and compliance requirements.

What does an AI consulting engagement include?

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  • Most engagements start with a discovery phase (2-4 weeks) where I map workflows, identify high-leverage opportunities, and surface hidden risks. From there, we scope strategy, implementation, or both—depending on what you need.

How do AI consultants handle HIPAA compliance and data privacy?

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  • I design workflows with privacy and compliance baked in from the start—not bolted on later. For healthcare and biotech clients, that includes HIPAA-safe architectures, BAA negotiation support, and clear data governance policies.

Why is my organization's AI adoption failing?

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  • Most organizations adopt AI tools without a clear operational strategy, then wonder why adoption stalls or outputs are inconsistent. I audit what you have, identify gaps, and either optimize your current setup or recommend what to replace.

How long does AI implementation take?

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  • Discovery typically surfaces actionable insights within 2-4 weeks. Implementation timelines vary—a focused automation might take 2-3 weeks; a full governance framework or custom tool suite might take 2-3 months.

How much does AI consulting cost?

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  • I work on a project basis with clear scopes and milestones—not open-ended hourly billing. Discovery engagements start at $3,500. Implementation and custom builds are scoped based on complexity.

What should I look for in an AI consultant?

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  • Look for someone who understands both strategy and implementation. The best AI consultants map your actual workflows before recommending tools, prioritize governance and compliance from day one, and can build or customize solutions rather than just pointing you to off-the-shelf products.

What's the difference between AI strategy and AI governance?

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  • AI strategy defines what to automate, when, and how to roll it out. AI governance defines the rules—who can use what tools, how data flows, what's compliant, and what's not. Most organizations need both, but governance is especially critical in regulated industries.

CLIENTS

PARTNERS

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ABOUT

Brandon Hogstad, PhD is an AI-implementation consultant who helps executives and product teams put generative AI to work. Drawing on a deep research and early-stage innovation background, Brandon excels at distilling complex science and technology into clear, practical tools and playbooks that drive immediate results.

Through his firm Morpheos Innovation, Brandon also serves as a consultant and entrepreneur-in-residence, guiding venture-backed startups and academic spin-outs across biotech, health-tech, and deep-tech. He specializes in strategic commercialization, partnerships, competitive intelligence, and scientific due diligence—bridging the gap between cutting-edge research and market-ready products.

Previously, he built drug-discovery accelerator programs at NYU Langone Health, forging collaborations with Sanofi and Pfizer (contributing research that informed Paxlovid). He later led AI-driven immunotherapy initiatives at Immunai, harnessing machine learning and single-cell genomics for precision medicine.

Brandon earned his PhD in Biomedical Sciences from the Icahn School of Medicine at Mount Sinai; his work has appeared in Nature and the Journal of Experimental Medicine. Outside of consulting and coaching, he co-hosts the dream-interpretation podcast Let's Talk About Dreams and releases music with his brother as The Hogstad Brothers.

Ready to Talk?

Book a 20-minute diagnostic call, or send a message and I'll get back to you within one business day.

Send a Message

Or email directly: brandon@morpheos.llc