Foundational model supporting SME AI implementation

Single-model structured prompting across all platforms prevents the chaos of uncontrolled AI adoption. SMEs must implement systematic approaches immediately to avoid joining the 85% of failed AI implementations.

Core methodology

Four-pillar foundation structure

Expertise, Context, How, Output pillars ensure systematic prompt design with quality control protocols for reliable business-appropriate outputs

Platform compatibility features

Compatible with Copilot's 2,000 character limits whilst maintaining systematic approach across ChatGPT, Claude, and Perplexity platforms

Quality assurance protocols

Built-in verification requirements including source citation validation, logical consistency checking and mandatory human review checkpoints

The ECHO Basic Framework™

Expertise

Defines AI's analytical role preventing misuse and confusion

Context

Expertise

Establishes clear context preventing irrelevant or dangerous outputs

How

Expertise

Output

Specifies systematic methodology preventing inconsistent and unreliable analysis

Output

Expertise

Output

Requires structured deliverables enabling audit trails and accountability

Free downloads

ECHO (pdf)

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ECHO+ (pdf)

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Eye For Business (www.eye4b.com)

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AI prompting: overview
The ECHO Framework™
AI assurance: overview
Human-led AI: overview
Training: overview
Eye For Business

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