MCX Strategy Map

Your first step…

      
Signal Clarity
Make your business legible to machines.

Reputation via Reliability
Establish machine-readable trust.

Intent Translation
Align your offering with machine priorities.

MCX Engagement Architecture
Design your systems for machine interaction patterns.

Signal Clarity
Make your business legible to machines.

        Diagnostic Question
        Actions to Take
      
            🗄️
            Structured
Data
          
          Are your products, services, and offers described using machine-readable formats (e.g., JSON, schema.org)?
        
          Implement structured metadata across all digital assets. Use schema.org, OpenAPI specs, and rich snippets.
        
            🔌
            API
Availability
          
          Can agents access real-time product, pricing, or availability data via API?
        
          Develop and expose secure, well-documented APIs for key services.
        
            🍎
            Data
Freshness
          
          Is your information current and automatically refreshed?
        
          Automate updates via backend integrations; expose cache-busting timestamps.
        
            🔗
            Inter
operability
          
          Can machine agents easily integrate your services with others in their ecosystem?
        
          Use industry standards for data formatting and service delivery. Avoid proprietary-only formats.

Download the strategy map

Reputation via Reliability
Establish machine-readable trust.

        Diagnostic Question
        Actions to Take
      
            📊
            Performance
Transparency
          
          Do you provide measurable service-level metrics (uptime, latency, error rates)?
        
          Publish and monitor a public status page. Include machine-readable SLAs and KPIs.
        
            ✓
            Compliance
Signals
          
          Are you broadcasting your regulatory compliance or certifications in a verifiable format?
        
          Digitally certify ISO, ESG, GDPR, etc. via blockchain or verifiable credentials.
        
            📋
            Anomaly
Detection
          
          Can your systems identify unusual or potentially fraudulent agent behaviours?
        
          Implement behavioral baselines and pattern monitoring for agent interactions.
        
            🔄
            Feedback
Loops
          
          Are your reviews and ratings agent-digestible (e.g. from verified sources, structured data)?
        
          Integrate third-party review signals via APIs (e.g., Trustpilot, Glassdoor, G2). Ensure they're machine-readable.

Intent Translation
Align your offering with machine priorities.

        Diagnostic Question
        Actions to Take
      
            🏷️
            Semantic
Clarity
          
          Can agents understand your value proposition without human interpretation?
        
          Use NLP-optimized descriptions, semantic tagging, and explicit benefit statements.
        
            👤
            Matchmaking
Compatibility
          
          Can your services be matched against agent queries and preferences?
        
          Adopt common taxonomies, intent mapping, and digital twin technology.
        
            ⚡
            Dynamic
Customization
          
          Can you adapt offers based on agent-level data inputs?
        
          Use adaptive pricing models, rule-based personalization, and conditional offers.
        
            🔍
            Trust
Signals
          
          Are your values and differentiators quantifiable and comparable?
        
          Express differentiators in metrics, not adjectives—e.g., "12% faster delivery" not "world-class service."

Engagement Architecture
Design your systems for machine interaction patterns.

        Diagnostic Question
        Actions to Take
      
            🔒
            Authentication
& Security
          
          Can agents securely authenticate and maintain session state?
        
          Implement OAuth 2.0, API keys, and agent identity verification. Consider zero-knowledge proofs for sensitive operations.
        
            🚦
            Rate Limiting
& Resource
Allocation
          
          Are you prepared for variable machine traffic patterns and resource demands?
        
          Design tiered access models with adaptive rate limits. Implement graceful degradation protocols.
        
            ⚙️
            Learning
Integration
          
          Can your systems learn from agent interactions to improve offerings?
        
          Deploy interaction analytics, implement A/B testing for agent preferences, and build feedback mechanisms specific to agent behavior patterns.
        
            🎚️
            Decision
Transparency
          
          Can agents understand why specific recommendations or decisions were made?
        
          Provide decision trees or confidence scores alongside recommendations. Implement explainable AI principles.

MCX Maturity Roadmap

    1. Foundation
Basic machine readability and API access
2. Differentiation
Trust mechanisms and agent-specific customisations
3. Ecosystem Integration
with agent platforms and marketplaces
4. Optimisation
Learning systems and dynamic adaptation

Download the strategy map