BlackAlpine.ai
Precision AI for the Next Decade. Zurich-
based Data & AI advisory.
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Zurich, Switzerland
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Results & Impact
Clear strategy, confident decisions, and a transformation roadmap being
executed today.
Business Impact
Board approval secured for $45M AI transformation program
Platform selected and implementation started within 3 months
First AI use case (drug discovery assistant) deployed in 6 months
Projected $120M value creation over 3 years
Organizational Impact
Unified AI vision across 8 business units
Established Center of Excellence with 25 AI specialists
Trained 500+ employees on AI fundamentals and tools
Created reusable framework for future AI investments
CLIENT TESTIMONIAL
"BlackAlpine.ai cut through the complexity and gave us clarity.
Their AI-powered approach meant we analyzed more options in
less time, and their recommendations gave us confidence to move
fast. We're now 6 months into implementation and ahead of
schedule."
Chief Data & Analytics Officer
AI-Powered Delivery
How AI Made Us Faster & More Effective
We practice what we preach. Our AI-accelerated methodology reduced project
timeline from 12 weeks to 8 weeks while increasing analysis depth by 3x.
Automated Data Analysis
Our AI tools analyzed 200+ internal documents, existing systems, and
vendor documentation in days—a process that traditionally takes
weeks of manual review.
Intelligent Pattern Recognition
Machine learning models identified hidden patterns in business
processes, revealing 12 high-value use cases that weren't on the initial
radar.
Real-time Market Intelligence
AI-powered competitive analysis continuously monitored vendor
capabilities, pricing changes, and emerging technologies, ensuring
recommendations stayed current.
Predictive ROI Modeling
Advanced analytics simulated multiple implementation scenarios,
predicting outcomes with 85% accuracy based on similar enterprise
deployments.
TRADITIONAL APPROACH
12 weeks delivery time
Manual analysis of ~20 documents
Static vendor comparison
Single scenario ROI modeling
OUR AI-ACCELERATED APPROACH
8 weeks delivery time (-33%)
AI analysis of 200+ documents
Real-time competitive intelligence
Multi-scenario predictive modeling
Our Solution
A comprehensive, data-driven approach combining strategic workshops,
technical evaluation, and practical implementation planning.
AI Use Case Discovery &
Prioritization
Conducted 40+ stakeholder interviews across
R&D, Commercial, and Operations. Developed a
scoring framework based on business value,
technical feasibility, and time-to-value.
Platform Evaluation Framework
Created a comprehensive scoring model
evaluating 15 platforms across 25 criteria
including scalability, compliance, integration
capabilities, and total cost of ownership.
Implementation Roadmap
Designed a phased 18-month transformation
roadmap with clear milestones, resource
requirements, and expected outcomes for each
quarter.
Our 8-Week Engagement Process
WEEKS 1-2
Discovery & Stakeholder Alignment
Conducted 40+ interviews with executives and technical leaders across R&D, Commercial, Manufacturing, and IT. Mapped current state capabilities and identified
strategic priorities.
WEEKS 3-4
Use Case Identification & Scoring
Identified 50+ potential AI use cases using our proprietary framework. Scored each based on business value ($), technical feasibility, data readiness, and strategic
alignment. Shortlisted top 15 use cases.
WEEKS 5-6
Platform Evaluation & Selection
Evaluated 15 enterprise platforms (Databricks, Snowflake, Azure ML, AWS SageMaker, Dataiku, etc.) across 25 criteria. Conducted technical deep-dives and proof-
of-concept testing for top 3 candidates.
WEEKS 7-8
Roadmap & Business Case
Created detailed 18-month roadmap with quarterly milestones, resource requirements, and budget. Developed business case showing projected $120M value
creation over 3 years.
The Challenge
A global pharmaceutical company with $40B+ revenue recognized
AI's potential but faced paralysis in execution. They needed
strategic clarity on where to invest, which platforms to choose, and
how to build sustainable AI capabilities.
Key Pain Points
No clear understanding of where AI could create the most business value
Dozens of potential use cases but no framework to prioritize them
Complex vendor landscape with 15+ competing data & AI platforms
Legacy IT infrastructure with strict compliance requirements
Multiple business units with conflicting technology preferences
Why This Mattered
Without a clear AI strategy, the company risked wasting millions on wrong
technology choices, missing competitive advantages in drug discovery and
commercial operations, and falling behind rivals who were successfully
scaling AI capabilities.
6 months
50+
Use Cases Evaluated
Across 8 business units
15
Platform Options
Assessed & scored
3.5x
ROI Improvement
Through AI acceleration
Time Saved
Accelerated from 12 to 6 months
Life Sciences
AI Strategy & Platform
Selection for Global
Pharma
How we helped a Fortune 500 pharmaceutical company define their AI
transformation strategy, evaluate platforms, and create a roadmap that
accelerated time-to-value by 50%.