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
The squad integrates with the existing team, tools and workflows. Go-live takes 4 to 6 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 | 4 to 6 weeks |
| Skill Coverage | Limited to hires | Full-stack AI expertise |
| Annual Cost | Salaries, hiring and turnover | Flexible monthly fee |
| Scalability | Rigid headcount | Scale on demand |
| Execution Risk | High (turnover, learning curve) | Low (proven methodology) |
4-6 weeks
Time to Go-Live
Full-Stack
AI Capability
50%
Target Cost Reduction
Frequently asked questions
What is an AI Squad?
An AI Squad is a managed service that combines BeAI specialists with AI agents. The agents read tickets, search the operation's documentation and propose answers with their sources. People validate every answer, handle complex cases and improve the system. The platform is described at aisquadsupport.com.
How long does it take to deploy an AI Squad?
Go-live takes 4 to 6 weeks, from connecting the ticketing tool and the documentation sources to the pilot with the team.
What results can we expect from an AI Squad?
A typical deployment sets targets of 95% requester satisfaction and a 50% reduction in service cost. These are project targets, not guaranteed results, and they are measured during the pilot with the operation's own data.
Do AI Squads replace our team?
No. AI Squads extend the team. People validate the answers and handle complex escalations and continuous improvement, while the agents search the documentation and draft the proposals. No answer is sent without human review.
Which systems do AI Squads integrate with?
Freshservice and Jira are available today. ServiceNow, Remedy, Freshdesk and any tool with an API are integrated during the project. Documentation is brought in from SharePoint, Confluence and by manual upload, in eight document formats.