Laer
Marketplace
Vs
“Classic” AI
Integration
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R
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What about
Data
Security?
Have you
Answered These
Yet?
What are the
Risks of AI?
How much
will it Cost?
How
Complex is
it?
What
happens if
something
goes
Wrong?
Can I Trust it
all the time?
What about
my
Current
Ecosystem?
What about
Customer
Service?
Why is ai
adoption so
difficult
The transformative potential of AI in healthcare is
undeniable, yet its widespread adoption remains
elusive for many providers. Integration challenges
abound, including intricate technical hurdles,
fragmented data ecosystems, and substantial
implementation costs. Healthcare institutions must
navigate a complex regulatory landscape while
simultaneously facing pressure from insurers.
Furthermore, the return on investment (ROI) remains
uncertain, deterring investment due to lengthy
onboarding processes and unclear outcomes. Clinician
resistance further complicates matters, with many
questioning how AI insights can be seamlessly
integrated into their existing workflows and whether
these insights align with their clinical judgment. These
multifaceted obstacles create a significant hindrance
to AI's full potential
The “Classical” AI Roadmap
Requirements Definition
- Lack of clarity
- Slow discovery phase
- Misaligned objectives
Vendor Selection
- Market fragmentation
- Vendor lock-in risk
- Inconsistent standards
Data Integration
- Siloed data
- High IT burden
- Interoperability
challenges
Compliance Audits
- Lengthy approval cycles
- Administrative overhead
- Uncertain compliance
alignment
Training
- Extensive training needs
- Low adoption rates
- Customization delays
Pilot Testing
- Vague KPIs
- Extended pilot periods
- Pilot-to-scale gap
Maintenance
- Resource drain
- Vendor dependency
- Performance
degradation
Full Deployment
- Operational disruptions
- Hidden costs
- Downtime risks
The classical AI adoption path in healthcare is riddled with significant barriers that often prevent institutions from fully realizing the benefits of AI-driven solutions. On average, it takes 12–24 months for healthcare providers to progress from initial vendor selection to meaningful results. Reports from organizations like Accenture and McKinsey reveal that 70% of AI pilot programs fail to scale beyond initial testing phases, leaving many promising projects stuck in limbo. Financial costs also pose a major challenge, with total implementation expenses—covering vendor licensing, compliance audits, integration, and staff training—often exceeding $2 million.
Beyond time and cost, fragmentation remains a persistent issue, as institutions commonly adopt 5–7 standalone AI tools across different departments, resulting in siloed data systems and reduced interoperability. These disconnected systems not only create redundancy but also hinder seamless care coordination, decision-making, scalability issues, illustrate why so many healthcare providers remain hesitant to embrace AI at scale despite its transformative potential.
The Laer Platform
- Web Platform
- Fully regulation
compliant - Expert guidance
- Unified Payment Gateway
- Singular Customer
Services - Model Drift Correction
- Pre-vetted tools
- Algorithmic Tool
Matching - Multi-Vertical
deployment
- Minimal training
- Bi-directional
performance tracking - Robust Security &
Encryption
- Personalized Workflows
- Plug-and-play
integration - Minimal IT burden
- Centralized User
Experience - Transparent audit trails
- Monthly Usage
Membership Plans
Laer Health’s platform offers a streamlined, end-to-end solution that compresses months-long AI integration into just 2–4 weeks, while reducing AI acquisition costs by up to 30%. By leveraging authenticated third-party AI models, our platform empowers healthcare providers to create diverse, cutting-edge workflows for more personalized care delivery. Acting as an adjunct rather than a replacement, Laer integrates minimally with existing ecosystems, presenting a singular, user-friendly interface that seamlessly spans all departments.
What sets Laer apart is its centralized payment and customer service junction, simplifying financial transactions and support interactions across multiple AI tools and workflows. Upon deployment, real-time performance metrics provide clear visibility into decision-making ensuring both transparency and confidence in your AI investment. Whether you’re new to AI or expanding current capabilities, Laer Health delivers a smarter, faster, and more impactful solution precisely tailored to your needs that improve your ROI and elevate the quality and efficiency of your institution.
The Next-Generation
Intelligence for
Healthcare
Vora AI is Laer Health's advanced AI engine, designed to
be the bridge between the reality and possibility
Conducts User Workflows
Clear, Explainable Insights
Parallel Model Runs
Data Sharing & Communication
Integrated Security Layer
The Big Three
We are the proud members of the accelerator programs providing us with exclusive access to advanced tools, technical expertise, and industry insights, ensuring our platform remains at the forefront of AI-driven healthcare solutions
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