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Sample report

Your brief, board-ready.

The full structure of a MEDICI strategy report - the same fields the product emits, in the same order, with a fingerprint you can verify yourself.

The brief

Operation title
Enterprise healthcare vs mid-market ICP
Market domain
Enterprise healthcare
Problem statement
I think there is an opportunity in larger healthcare groups, but I’m not sure the market is ready. They’re already ~40% of our pipeline, even though our product wasn’t built for them. I’m deciding whether to spend the next 6 months building for enterprise or keep optimizing for our mid-market ICP. Can you research what’s changed and give me enough evidence to make the call?
Balanced mode
01

Executive Summary

Context synthesis and strategic positioning

Prioritize growth in mid-size regional health systems for the next 6 months while building foundational enterprise-grade procurement and compliance AI modules. Mid-size systems offer faster sales cycles (~12 months) and easier deployment, representing a high-opportunity, underpenetrated market segment (c19,c22). The biggest risk is accelerating demand from large enterprises for turnkey solutions with multi-site real-world evidence, which would require a swift pivot if pipeline conversion rates and paid pilot volume surge significantly.

02

Market Opportunities

Ranked by priority, each with a market-size estimate

high priority

Enterprise-Grade Clinical and Economic Evidence Packages

Large health systems require rigorously validated multi-site clinical outcomes and economic data to adopt AI at scale, making this a valuable but slow-to-monetize segment demanding significant investment in evidence generation.

Multi-billion USD

enterpriseclinical-evidenceeconomic-modeling
high prioritylow-hanging fruit

Mid-Size Regional Health Systems as Enterprise-Lite

Mid-size systems with 200-800 beds are underpenetrated, have shorter sales cycles, and seek operational cost reductions through affordable AI solutions, presenting the fastest scalable runway for near-term growth.

Few hundred million USD to low billion USD

mid-marketregional-health-systemsfast-sales-cycle
medium priority

AI-Driven Procurement and Compliance Automation

The complexity and fragmentation of healthcare procurement create a rapid growth opportunity for AI compliance and procurement tools, especially for large enterprise clients requiring audit and regulatory readiness.

Hundreds of millions USD

procurementcomplianceenterprise
03

Growth Strategy

Go-to-market, target segments, key metrics and timeline

Lead with targeting mid-size regional health systems using evidence-based paid pilots, followed by strategic GPO partnerships and EHR integration pilots to build enterprise readiness.

Target segments

  • Mid-size regional health systems (200-800 beds)

Key metrics

  • Pilot-to-paid conversion rate >30% within 6 months
  • Retention rate >70% at 12 months

Month 1-3: secure pilots, define MVP modules, initial hires; Month 4-6: deploy pilots, collect interim evidence, expand sales pipeline; Month 7+: evaluate enterprise pivot based on pilot outcomes and pipeline conversion

04

Pricing Model

Tiers with features, and the rationale behind the structure

enterprise

Mid-market Tier

$100K-$250K annually

  • Single-site deployment
  • Basic integration
  • Standard support
  • ROI-based milestone discounts

Enterprise Tier

40-60% premium over mid-market pricing

  • Multi-site deployment
  • Full Epic and Oracle integration
  • Compliance and procurement AI modules
  • Dedicated account team
  • Flexible contract terms

An adaptive enterprise pricing model balances payer reimbursement uncertainty with ROI milestones, enabling pilot-to-paid transitions while capturing higher value from large health systems.

05

Partnership Strategy

Who to partner with, and what the partnership is for

Engage Group Purchasing Organizations (GPOs) like Vizient, Premier, and HealthTrust to accelerate procurement buy-in and pilot scale; collaborate with major EHR vendors Epic and Oracle for seamless integration; pilot with AI compliance startups Readily and Brellium to embed procurement and regulatory automation capabilities.

06

Compliance Notes

Regulatory and data-handling constraints on the plan

HIPAA, HITRUST, and FDA digital health regulations require embedding compliance checkpoints in product sprints and hiring a dedicated Regulatory & Compliance Officer to lead audit readiness and government alignment.

07

Engineering Directives

Technical recommendations for the build team

  • Develop procurement and compliance AI modules with audit and governance features by month 6
  • Build interoperability layers for Epic and Oracle EHR platforms with test integrations
  • Embed compliance tracking and reporting into product from day 30 onwards
  • Implement adaptive pricing and contract management features supporting milestone-based billing
  • Optimize data capture and analytics pipelines to generate clinical and economic evidence from pilot sites
08

30 / 60 / 90 Day Plan

Sequenced action items by time horizon

First 30 days

  • Form cross-functional growth task force with clinical, product, sales, regulatory leaders
  • Secure 2-3 mid-size regional system pilots with commitment to interim evidence capture
  • Define MVP procurement/compliance module requirements with stakeholder inputs
  • Initiate contacts with Epic and Oracle integration consultants

By day 60

  • Deploy MVP to pilot sites and implement structured data collection protocols
  • Hire Clinical Evidence Manager and Enterprise Account Executive
  • Develop adaptive pricing models and sales collateral emphasizing reimbursement risk mitigation
  • Finalize GPO and AI compliance vendor partnership framework and initiate pilots

By day 90

  • Analyze pilot data and iterate MVP based on clinical and procurement leader feedback
  • Expand sales outreach to additional 5 mid-size health systems supported by evidence assets
  • Establish detailed integration roadmap and begin regulatory audit planning
  • Complete hire of Regulatory & Compliance Officer and embed compliance workflows
09

MVP Features

Prioritized P0 to P2, with effort and rationale

  • p0medium effort

    Clinical and Economic Evidence Dashboard

    Essential for validating AI impact during pilot-to-paid transition with measurable ROI.

  • p0large effort

    Procurement and Compliance AI Automation

    Enables early enterprise interest by addressing audit readiness and regulatory complexity.

  • p0large effort

    Epic and Oracle EHR Integration Framework

    Critical for acceptance by large enterprises dominated by these platforms.

  • p1medium effort

    Adaptive Pricing and Contract Management

    Allows flexible pricing to reduce reimbursement/payment risk in enterprise segments.

10

Team Structure

Recommended roles with hiring timing and rationale

  • hire-now

    Clinical Evidence Manager

    Leads real-world evidence generation and pilot validation to accelerate sales conversion.

  • hire-now

    Enterprise Account Executive

    Drives mid-size system sales and supports pipeline development with evidence-backed selling.

  • 6-months

    Regulatory & Compliance Officer

    Ensures HIPAA, HITRUST, and FDA compliance embedding enabling governance readiness.

  • hire-now

    Product Manager - Procurement AI Module

    Manages development of procurement and compliance automation MVP features.

11

Resource Requirements

Personnel, infrastructure, tooling, monthly estimate and runway

Personnel
$300K-$400K monthly including new hires
Infrastructure
$25K monthly for cloud, data, and integration services
Tooling
$15K monthly for SaaS licenses including evidence analytics, CRM, and compliance tools
Monthly estimate
$340K-$440K
Runway assumption
Cover 6 months to complete MVP pilots, evidence generation, and initial enterprise readiness with controlled burn and adjustable hiring pace

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