Ready to Define
Your AI Strategy?
Let's discuss how we can help
you navigate your AI
transformation with confidence
and speed.
Start a Conversation
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."
Dr. Michael Schmidt
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
Time Saved
Accelerated from 12 to 6
months
50+
Use Cases Evaluated
Across 8 business units
15
Platform Options
Assessed & scored
3.5x
ROI Improvement
Through AI acceleration
Back to Home
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%.
Precision AI for the Next Decade. Zurich-based
Data & AI advisory.
Contact
© 2026 BlackAlpine.ai. All rights reserved.
Precision AI for the Next Decade. Zurich-based
Data & AI advisory.
Contact
© 2026 BlackAlpine.ai. All rights reserved.
BlackAlpine.ai
Precision AI for the Next Decade. Zurich-
based Data & AI advisory.
Contact
Zurich, Switzerland
© 2026 BlackAlpine.ai. All rights reserved.
Ready to Define Your AI Strategy?
Let's discuss how we can help you navigate your AI transformation
with confidence and speed.
Start a Conversation
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
Time Saved
Accelerated from 12 to 6 months
3.5x
ROI Improvement
Through AI acceleration
15
Platform Options
Assessed and scored
50+
Use cases evaluated
Across 8 business units
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%.