Wilson James: AI-Powered Threat Monitor Platform
Wilson James, a leading provider of security, aviation, facilities management, and risk management services, engaged Colmenero IO to define, design, and build an AI-powered threat intelligence platform from the ground up. The platform was designed as a strategic client capability, fully owned by the client and integrated into its wider technology and operational ecosystem.
Creating a new AI-powered threat intelligence platform capable of competing with established market offerings.
Defining clear competitive differentiation through market analysis, product strategy, and feature innovation.
Designing a flexible platform that can ingest and analyse data from a wide range of sources including social media, dark web, news, weather, police feeds, RSS, APIs, and email.
Supporting client-specific threat taxonomies, scoring models, and response workflows rather than relying on generic AI classifications.
Delivering all aspects of product innovation, including product definition, user experience, multi-tenant architecture, AI design, engineering, infrastructure, security, and commercial strategy.
Product Strategy and Market Positioning
Conducted market analysis and collaborative workshops to define the product vision, key differentiators, and long-term strategy. This included source-agnostic ingestion, client-specific threat taxonomies, and cross-source confidence scoring.
Product Design and User Experience
Designed the platform interface and operational workflows, including threat monitoring dashboards, threat lifecycle management, scoring visualisations, document retrieval and alert management.
Platform Architecture and Engineering
Designed a secure multi-tenant architecture with client isolation and developed a platform prototype validating end-to-end ingestion, processing, and threat management capabilities.
AI Threat Analysis and Automation
Developed the AI analysis layer responsible for cross-source correlation, dynamic confidence scoring, threat classification, and lifecycle tracking. The platform applied client-configured threat taxonomies and automated response thresholds to ensure alerts and actions reflected each client's operational requirements.
Commercial Model and Go-to-Market Strategy
Developed the commercial model, pricing strategy, sales collateral, and product roadmap.
Delivered an enterprise-grade AI-powered threat intelligence platform from concept through to working prototype.
Established a scalable multi-tenant architecture aligned with the client's security and operational requirements.
Delivered a source-agnostic ingestion framework supporting RSS, APIs, email, social media, dark web, news, weather, police intelligence feeds, and third-party datasets.
Implemented AI-driven threat analysis, cross-source confidence scoring, classification, and automated alerting capabilities.
Produced a commercial business model, sales collateral, and forward-looking product roadmap to support go-to-market activities and future investment.
Positioned the client with a fully owned, differentiated, AI-enabled intelligence platform integrated into its broader service portfolio.