AI Agent Operational Lift for The Lionesque Group, Now Mg2 in New York, New York

Why AI matters at this scale

The Lionesque Group, now part of MG2, is a 200+ person architecture and design firm specializing in retail environments. With a portfolio spanning flagship stores, pop-ups, and branded experiences for global retailers, the firm operates at the intersection of creativity and commercial performance. At this size—mid-market but with enterprise clients—AI adoption is not a luxury but a competitive necessity. The firm’s scale means it has enough project volume to train custom models, yet remains agile enough to implement new tools without the bureaucratic inertia of mega-firms. Retail clients demand speed, personalization, and data-driven design; AI delivers all three.

Concrete AI opportunities with ROI

1. Generative concept design
By integrating generative AI into early-stage ideation, the firm can produce dozens of layout variations in hours instead of weeks. Tools like Autodesk Forma or custom algorithms trained on past projects can optimize for footfall, brand identity, and local regulations. ROI: 40% reduction in concept design time, directly lowering labor costs and increasing project throughput.

2. Automated rendering and client visualization
AI-powered rendering engines (e.g., Enscape with AI plugins) can turn rough 3D models into photorealistic walkthroughs in minutes. This accelerates client approvals and reduces costly late-stage changes. ROI: 25% fewer revision cycles, translating to higher margins per project.

3. Predictive analytics for store performance
Using historical foot-traffic data and customer demographics, machine learning models can forecast sales impact of design choices. Offering this as a value-added service differentiates the firm and commands premium fees. ROI: New revenue stream from analytics consulting, plus higher win rates on design bids.

Deployment risks specific to this size band

Mid-market firms face unique challenges: limited IT staff, reliance on legacy BIM software, and potential resistance from senior designers. Data silos between Revit, SketchUp, and project management tools can hinder AI integration. To mitigate, the firm should start with low-risk, high-visibility pilots (e.g., AI rendering), invest in cloud-based platforms that don’t require heavy in-house infrastructure, and provide hands-on workshops to build trust. Change management is critical—position AI as an assistant, not a replacement, to preserve the creative culture that defines the brand.