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Amplifi AI Strategy Framework

A comprehensive framework for discovering, evaluating, and prioritizing AI opportunities to amplify your work.

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Part 1: Opportunity Discovery Frameworks 0 / 23

Important: Use ALL THREE frameworks simultaneously. They are complementary lenses that work together to identify the best opportunities.

Framework 1: Follow the Friction - Workflow Bottleneck Assessment

Actionable Friction Assessment Checklist:
Which tasks require employees to switch between multiple systems repeatedly?
Where do teams spend time re-entering information across platforms?
What processes consistently generate help desk tickets or training requests?
Which customer service inquiries stem from internal process failures?
What decisions require gathering information from 5+ sources manually?
Process Mapping Activities:
Map current workflows end-to-end
Document time spent at each step
Record error rates by process step
Identify handoff points between systems or people

Framework 2: Follow the Data - Information Asset Assessment

Data Opportunity Assessment Framework:
What decisions rely on information spread across multiple databases?
Which reports require manual data gathering from various sources?
Where do teams make decisions with incomplete information due to data access challenges?
What external data sources could enhance internal decision-making?
Which processes generate rich data logs that remain unanalyzed?
Data Inventory Activities:
Catalog available databases
Document repository locations and access methods
Map communication platform data sources
Identify accessible external APIs

Framework 3: Find the Cognitive Overload - Information Processing Assessment

Cognitive Overload Indicators:
Which roles require processing more than 50 documents or data sources daily?
Where do experts spend more time gathering information than analyzing it?
What decisions consistently face delays due to information processing requirements?
Which jobs require maintaining knowledge across multiple specialized domains simultaneously?
Where do teams escalate decisions simply due to complexity rather than authority requirements?

Part 2: Six Pillars Evaluation Framework 0 / 26

Scoring Guide: For each selected item, provide a score from 1-5 (1=Poor, 5=Excellent).

Pillar 1: Strategic Fit Analysis

Critical Questions:
What level of autonomous operation aligns with our risk tolerance?
How will human-AI collaboration patterns change existing job roles?
Which governance structures ensure oversight without bottlenecks?
Red Flags to Avoid:
❌ Attempting to automate tasks requiring significant human judgment
❌ Autonomous agents in regulated environments without oversight

Pillar 2: Business Impact & Value

Value Measurement Framework:
Financial Impact: Revenue growth, cost reduction, time savings
Quality Metrics: Accuracy improvements, error reductions
Customer Value: Satisfaction scores, response time improvements
Employee Impact: Productivity, satisfaction, skill development
Risk Reduction: Compliance, security, operational stability

Pillar 3: Technical Complexity

Data Quality Checklist:
Is required data digitized and accessible through APIs?
Data quality issues can be resolved within project timelines
Data governance supports AI access with security/compliance
Technical Risk Indicators:
❌ Requires integration with more than 5 separate systems
❌ Data sources lack documented APIs

Pillar 4: Implementation Readiness

Readiness Indicators:
Documented processes with clear decision criteria
Established governance frameworks with oversight procedures
Technical infrastructure supports AI workloads
Dedicated implementation teams with clear accountability
Change management resources for training and adoption

Pillar 5: Organizational Readiness

Readiness Indicators:
Leadership commitment demonstrated through resource allocation
Middle management engagement with implementation planning
Employee understanding and acceptance of AI agent value
Learning programs address AI collaboration skills
Change Impact Analysis:
How will AI agents change daily work patterns?
What new capabilities must employees develop?

Summary & Key Takeaways

Part 1: Discovery Selections

Part 2: Evaluation Selections

Scoring Summary

Total Evaluation Score

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