AWS Well-Architected Lens — Select Screen:
Peerlabs
JD
GenAI:
AWS ↔ Four Axes Mapping
Scores are weighted averages. Op. Excellence ← People/Process. Performance ← Application. Reliability/Cost/Security ← Systems.

Welcome back, Jane

⚙️
Op. Ex.
3.4
🔒
Security
3.0
🛡️
Reliability
3.0
⚡
Perf.
2.8
💰
Cost
3.0
🌱
Sustain.
3.1
67%
Adoption
↑ 12%
$4.2B
Avg. Spend
↑ 23%
Latest SignalsView all →
Cost Opt.Reliability

AWS announces 40% price cut on Bedrock

Major cost reduction changes build vs. buy calculus...

Op. ExcellenceIteration

78% of enterprises report AI skills gap

Training challenges persist across industries...

Systems

AWS announces 40% price cut on Bedrock

Major cost reduction changes build vs. buy calculus...

People

78% of enterprises report AI skills gap

Training challenges persist across industries...

Your ScoreDetails →
3.2
Overall Maturity
Level 3: Developing
3.4
Op.Ex
3.0
Security
3.0
Reliab.
2.8
Perf.
3.0
Cost
3.1
Sustain.
3.2
Overall Maturity
Level 3: Developing
3.5
Function
2.8
App
3.0
Systems
3.4
People

Landscape

67%
Adoption
$4.2B
Spend
Signals
Cost Opt.ReliabilityDeployment4d ago

AWS announces 40% price reduction on Bedrock

Cost reduction for Claude and Llama models.

PerformanceCustomization1w ago

RAG adoption reaches 45% among Fortune 500

Becoming standard for enterprise knowledge.

Op. ExcellenceIteration1w ago

78% of enterprises report AI skills gap

Training challenges persist.

PerformanceModel Selection2d ago

Claude 3.5 achieves near-human reasoning

Implications for document processing.

ReliabilityScoping2w ago

NVIDIA H200 availability improving

GPU lead times down to 16 weeks.

SecurityDev & Integration3w ago

Enterprise AI gateway patterns emerging

Centralized routing and access control.

📭
No signals for this phase yet.
Systems4d ago

AWS announces 40% price reduction on Bedrock

Cost reduction for Claude and Llama models.

Application1w ago

RAG adoption reaches 45% among Fortune 500

Becoming standard for enterprise knowledge.

People1w ago

78% of enterprises report AI skills gap

Training challenges persist.

Practices

Start with RAG, not fine-tuning

Strong

80% of value with 20% of effort.

PerformanceCustomization

Prompt management as code

Strong

35% improvement in output quality.

PerformanceOp. ExcellenceDev & Integration

LLM gateway pattern

Emerging

Centralized API for observability & cost.

ReliabilityCost Opt.SecurityDev & Integration

Dedicated AI platform teams

Emerging

Reduces time-to-deployment by 60%.

Op. ExcellenceDeployment

Use case prioritization frameworks

Strong

Prevents scope creep, ensures ROI.

Op. ExcellenceScoping

Multi-model evaluation harnesses

Emerging

Standardized benchmarking pipelines.

PerformanceModel Selection

Structured output schemas

Strong

85% reduction in parsing errors.

ReliabilityIteration

Start with RAG, not fine-tuning

Strong

80% of value with 20% of effort.

Application

Prompt management as code

Strong

35% improvement in output quality.

Application

LLM gateway pattern

Emerging

Centralized API for observability & cost.

Systems
Stripe

AI-Powered Fraud Detection

40% fraud reduction.

SecurityReliabilityDev & Integration
Duolingo

GPT-4 for Learning

2x engagement in 6 months.

PerformanceCustomization
Shopify

AI-First Customer Support

70% automation rate.

Op. ExcellenceCost Opt.Deployment
Stripe

AI-Powered Fraud Detection

40% fraud reduction.

FunctionSystems
Duolingo

GPT-4 for Learning

2x engagement in 6 months.

Application

Benchmark

3.2
Overall Maturity
Level 3: Developing
Weighted avg of AWS pillars
3.4
Op.Ex
3.0
Security
3.0
Reliab.
2.8
Perf.
3.0
Cost
3.1
Sustain.
3.2
Overall Maturity
Level 3: Developing
3.5
Function
2.8
App
3.0
Systems
3.4
People
⚙️ Op. Excellence3.4
← People & Process
⚡ Performance2.8
← Application (70%) + Systems (30%)
🛡️ Reliability3.0
← Systems (70%) + Application (30%)
Function3.5
Application2.8
Systems3.0
People & Process3.4

Reports

Deep research from Peerlabs.

Research Library
Reports use native Four Axes for consistency.
Latest Report

GenAI Adoption Report Q4 2024

Comprehensive analysis of adoption patterns.

Enterprise AI Infrastructure 2024

Systems requirements, TCO analysis

Systems

AI Team Building Playbook

Roles and scaling strategies

People

RAG Architecture Patterns

Design patterns for RAG systems

ApplicationSystems