The ECHO Framework™ is an evidence-based methodology to assist businesses in creating, refining, and optimising prompts for Large Language Models (LLMs), including Copilot, ChatGPT, Perplexity's advanced models (Sonar, Deep Research + Reasoning models, Labs), Claude and Gemini.
Eye For Business (Eye4B) offers free ECHO training templates, training and assurance services based on the ECHO Framework™. Keep reading or visit our dedicated microsite to find out more.
The ECHO Framework™ is designed for business professionals and teams requiring reliable, audit-ready AI outputs without deep technical expertise. The framework particularly benefits organisations implementing AI governance policies, compliance teams ensuring audit trails and resource-constrained enterprises seeking standardised AI deployment without hiring specialist data scientists.
The uncomfortable truth? Most businesses deploy AI like hiring a brilliant consultant who speaks only in riddles—you pay premium prices for answers you can't verify or repeat. Organisations struggle with inconsistent AI outputs, security vulnerabilities and lack of governance in AI workflows. Unlike generic AI training, the ECHO Framework™ provides a structured approach ensuring repeatable, auditable and decision-grade results while mitigating risks affecting AI-driven business processes.
As AI adoption accelerates, structured prompt engineering has become critical. Without proper frameworks, organisations face increasing security risks, including prompt injection attacks and data integrity failures. The reality? Most mid-market companies are flying blind with AI, creating compliance liabilities they don't even recognise. Systematic AI prompt design isn't just good practice—it's essential for safe, effective business adoption before regulatory requirements make it mandatory.
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