Enterprise AI Practice
Founding an Enterprise AI Practice & the QDojo Accelerator Marketplace
Architected Quadrant Technologies' transformation into an AI-first organization — establishing a scalable AI operating model, authoring an accelerator development framework, and founding QDojo, a centralized Enterprise AI Agents Platform that compresses sales and delivery cycles.
- Engagement
- Role
- Company
- Client
- Azure OpenAI
- Microsoft Fabric
- Azure AI
- Generative AI
- Enterprise Architecture
- Users reached
- 200+
- Revenue
- $600K (approx.)
- Delivery velocity
- +200%
- Practice operational
- 4 months
The problem
Quadrant Technologies operates as a Microsoft Solutions Partner serving enterprise customers across cloud, data, and AI. Prior to this engagement the firm lacked a standardized approach to AI solution development, which produced fragmented delivery, inconsistent quality, and a competitive gap as the enterprise AI accelerator marketplace pattern became a recognized go-to-market differentiator across the industry.
Transformation approach
I was recruited to architect and operationalize Quadrant's transformation into an AI-first organization across two interconnected workstreams: (1) a scalable AI operating model and execution framework for internal delivery, and (2) a centralized AI Marketplace — a curated portfolio of enterprise-ready AI accelerators designed to shorten client sales cycles and improve delivery outcomes.
I designed, authored, and operationalized a comprehensive accelerator development framework that standardized solution architecture, code quality, reusability, and deployment processes across the organization. The AI Marketplace — branded as QDojo — functions as a ready-to-deploy asset repository that directly equips the Sales organization with differentiated offerings.
Innovation
The QDojo Marketplace extends a "reusable, ready-to-deploy reference asset" pattern I had previously executed for Microsoft as the Azure OSVRD Digital Signage reference design (2017–2018), and adapts the horizontal Center of Excellence operating model I had founded inside Microsoft's Business Operations (2021–2023). The same founding-practice methodology has now produced three durable enterprise assets across three organizational contexts.
Upcoming additions to the platform include QVizPort (a Tableau-to-Power BI migration accelerator) and QMatrix (a QA workspace platform).
Responsibilities
- Architected the AI operating model spanning engineering, sales, and leadership governance for AI-first delivery
- Led the curation and engineering of the QDojo accelerator portfolio mapped to high-value client use cases and ROI outcomes
- Authored AI architecture standards and solution blueprints adopted across all enterprise engagements
- Led a team of engineers in production-ready accelerator development while integrating sales enablement workflows
- Established quality, reusability, and deployment governance through systematic technical review
Impact
- Efficiency: Accelerated AI accelerator development velocity by 200%+ through standardized development frameworks, eliminating redundant effort and enabling repeatable delivery patterns.
- Faster time-to-market: Operationalized the AI practice within four months of joining — converting Quadrant from ad-hoc AI experimentation to a structured, enterprise-grade AI execution capability.
- Sales enablement: The centralized AI Marketplace directly improved deal competitiveness and sales cycle speed, enabling Quadrant to win and expand enterprise AI engagements.
- Governance: Established cross-team AI governance and solution blueprints, eliminating the rework that had previously fragmented delivery.