AI Squads
Embed. Accelerate. Transform.
AI Squads Managed Services
Dedicated AI engineering teams embedded in your organization, delivering continuous AI solutions from ideation to production deployment
The Challenge
Building and maintaining AI capabilities in-house is costly and complex
Talent Shortage
Difficulty finding and retaining specialized AI engineers and data scientists
High Ramp-Up Costs
6-12 months to build an internal AI team from scratch
Fragmented Expertise
Need for diverse AI skills: NLP, computer vision, MLOps, data engineering
Slow Delivery
Internal teams lack the velocity to keep up with AI evolution
The Solution
AI Squads provides fully managed, embedded AI teams ready from day one
Embedded Teams
Dedicated AI engineers work as an extension of your organization, aligned with your processes and culture
Full-Stack AI Capability
From data engineering and ML development to MLOps and production deployment — all skills covered
Flexible Scaling
Scale your AI team up or down based on project needs without long-term hiring commitments
Continuous Delivery
Agile sprints with weekly demos, ensuring constant progress and stakeholder alignment
AI Governance
Built-in responsible AI practices, model monitoring, and compliance frameworks
Knowledge Transfer
Structured onboarding of your internal team with documentation, training, and paired programming
How It Works
Assess
We analyze your AI maturity, identify high-impact use cases, and define the squad composition
Embed
Your dedicated AI squad integrates with your team, tools, and workflows within 2 weeks
Deliver
Agile sprints producing MVPs, pilots, and production-ready AI solutions continuously
Evolve
Ongoing optimization, model retraining, and knowledge transfer to build lasting capability
Internal Team vs AI Squads
| Aspect | Internal Hiring | AI Squads |
|---|---|---|
| Time to Value | 6-12 months | 2 weeks |
| Skill Coverage | Limited to hires | Full-stack AI expertise |
| Annual Cost | $500K-1M+ per team | Flexible monthly model |
| Scalability | Rigid headcount | Scale on demand |
| Execution Risk | High (turnover, learning curve) | Low (proven methodology) |
2 weeks
Time to Deploy
Full-Stack
AI Capability
40%
Cost Reduction