Brainforge x BCTG: Collaboration Discussion!
Date: March 17, 2026 Source: Granola Meeting ID: c5b6117c-1d92-45a5-9906-7445b19d471b URL: https://notes.granola.ai/t/c5b6117c-1d92-45a5-9906-7445b19d471b
Participants:
- Uttam Kumaran (note creator) from Brainforge uttam@brainforge.ai
- Kyle Montgomery kylem@bullcitytalent.com
- Luke Scorziell from Brainforge luke.scorziell@brainforge.ai
Collaboration Overview
- Kyle reached out after following Uttam’s LinkedIn content on AI/data analytics
- Impressed by pragmatic, business-focused approach to AI vs. esoteric technical content
- BCTG specializes in SAP staffing/consulting with 100+ client relationships and MSAs in place
- Looking to expand beyond traditional SAP work into data/AI space
AI Market Positioning Theory
- Kyle’s perspective: AI adoption happening at two levels
- Top-down: C-suite pushing enterprise AI platforms (slow, over-engineered)
- Bottom-up: Individual users experimenting with ChatGPT/Claude (limited impact)
- Opportunity in the middle: Department-level AI solutions
- More sophisticated than individual tools
- Less complex than enterprise-wide implementations
- Faster ROI than multi-year enterprise strategies
Brainforge’s AI Approach
- Focus on boring, mundane task automation rather than flashy enterprise tools
- Example: Agency reporting automation
- Eliminates 15-20 hours of manual data gathering per client
- Unifies data from Facebook, LinkedIn, Google Ads into single platform
- Natural language querying reduces analyst bottlenecks
- Context engineering as core advantage
- Right data at right time more crucial than specific AI tools
- Custom development vs. dependency on vendor roadmaps
SAP + AI Integration Opportunities
- Two main angles identified:
- “Blue collar AI” - Migration/project acceleration
- AI-powered project management and execution
- Gantt chart optimization, ticket management
- Risk reduction and visibility improvement
- “White collar AI” - Data democratization
- Natural language querying of SAP data
- Replacement of traditional dashboard/reporting model
- Example: Client dropping Power BI for Cortex natural language interface
Target Audience Analysis
- SAP shops moving from ECC to S4Hana (still many in transition)
- Established data governance and BW systems
- Directors of Program Management, Digital Transformation, Enterprise Applications
- Gap: Most haven’t considered AI’s role in migration process itself
- SAP’s Joule AI offering seen as “smoke and mirrors” - too cumbersome for practical use
Content Marketing Strategy
- Joint blog posts on SAP/AI intersection topics
- Case study development from Athletic Greens/AG1 work
- Office hours/webinar format for client engagement
- Focus on tangible business outcomes vs. technical features
- Target both existing BCTG client base and Brainforge network
Sales Team Enablement
- BCTG sales team needs confidence/credibility for data engineering conversations
- Currently not top 3 priority in client outreach
- Need case studies and talking points for MSA-established relationships
- Opportunity to introduce AI/data capabilities during SAP project discussions
- Workshop concept: “AI in SAP Transformation - Friend or Foe?”
Next Steps
- Develop joint content around two identified angles (project management + data democratization)
- Research existing SAP AI capabilities for competitive positioning
- Create sales enablement materials for both teams
- Explore SAP User Group presentation opportunity (Texas chapter, 50-75 attendees)
- Timeline: Blog post within 1-2 weeks, webinar if content gains traction
- Kyle to connect with new team member (Mike) who chairs America’s SAP User Group Texas chapter