Launch Consulting Group

AI and ML

AI Transformation Solutions Delivering Measurable Results

End-to-end AI transformation from enterprise architecture through production deployment. Launch identifies the highest-value workflow, validates the business case, deploys governed agents into production, and redesigns the operating model around AI—delivering measurable ROI before broader platform investment.

Cloud and platform

Enterprise AI Platform Solutions

Launch designs and builds enterprise AI platforms with six integrated layers—cloud infrastructure, delivery, data, harness, agent, and governance—connected by a proprietary harness that captures business logic in durable assets. Platform matures iteratively through production deployments, not speculative architecture.

Product engineering

AI Software Development Solutions: 50%+ Cycle-Time Reduction

Modernize legacy systems and build AI-native applications using engineering practices that improve speed, quality, and productivity. Covers AI-assisted development, automated QA, and SDLC training, with modernization focused on removing blockers that prevent agent integration.

Advisory and strategy

Management Consulting: Strategic Advisory for Business Transformation

Strategic advisory and technology consulting services for business transformation, organizational optimization, and operational excellence. Supports redesign of high-value workflows around AI and defines operating model ownership alongside technology delivery.

Data and analytics

Data & AI: Advanced Analytics, Machine Learning, and Intelligent Automation

Advanced analytics, machine learning, and AI solutions that unlock insights and drive intelligent automation. Includes semantic data foundation and ontology modeling to enable agents to query business concepts rather than raw database schemas.

A proprietary business logic layer for enterprise AI platforms consisting of four components: canonical ontology (entity-relationship model expressed as business concepts), event-driven context (event stream as persistent memory across agents), governed tool registry (versioned, access-controlled integrations for agents), and semantic data foundation (maps raw data to ontology so agents query business concepts, not SQL tables). The harness outlasts LLM or orchestration vendor changes.

Our assessment: Flagship, well-articulated IP with clear architectural detail; positioned as the core differentiator of Launch's platform offering.

A proprietary operating model for deploying AI enterprise-wide, referenced as the mechanism for executing use cases with clear ROI measurement at every stage.

Our assessment: Named and linked but described only at a high level on the captured pages; appears to be a distinct branded methodology.

A structured enterprise AI platform architecture with six integrated layers: (1) Cloud Infrastructure Foundation, (2) Delivery, (3) Data, (4) Harness, (5) Agent, and (6) Governance. Built iteratively, starting with minimum viable infrastructure for the first production use case.

Our assessment: Detailed architectural model with clear layer definitions; central to the platform solution narrative and referenced throughout service pages.

A self-assessment tool that helps organizations determine where they are on the AI journey (Getting Started, You're Stuck, or Time to Supercharge) and maps them to appropriate transformation, platform, and software recommendations.

Our assessment: Linked as a CTA but no methodology detail shown on captured pages; likely a gated questionnaire.

A proprietary delivery methodology that builds the minimum viable harness and agent infrastructure for the first production use case (a 'slice'), then hardens the platform based on what production reveals. Each slice is self-funding and compounds platform maturity.

Our assessment: Named methodology with meaningful detail but no dedicated page; serves as an organizing principle for Launch's delivery approach.