Sold by: Capgemini
Agentic, multimodal AI for frontline equipment troubleshooting and maintenance. Turns manuals/SOPs into step-by-step guidance, reduces technician call-outs, and auto-generates high-quality service tickets - deployable in weeks and scalable across stores/sites.
Overview
Overview Capgemini Frontline AI: Maintenance Module is a Professional Services offering that delivers an agentic troubleshooting and maintenance assistant built on AWS. It transforms equipment manuals, SOPs, and historical maintenance artifacts into guided, step-by-step resolution workflows, delivered through mobile and voice-enabled frontline experiences and integrated into enterprise systems.
Associated AWS Services: Amazon Bedrock, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon OpenSearch Service, Amazon Lex, Amazon Connect (optional), AWS IoT Core (optional), AWS IAM.
Key Capabilities
Guided equipment troubleshooting using contextual instructions grounded in customer documentation and AWS AI services Automated service ticket creation with structured diagnostic context for technician escalation Frontline-ready mobile and voice experience for operational environments Rapid pilot-to-scale delivery, with modular pilots typically deployed in weeks and scaled securely on AWS
Business Outcomes
Reduced technician call-outs and reactive maintenance costs Improved store and site efficiency through streamlined maintenance workflows
Reference Deployment (Example)
Quick-service restaurant pilot deployed across 100 locations with expansion underway; reported ~22% reduction in engineer call-outs and material savings in reactive maintenance spend.
Ideal Customers Multi-site operators (QSR, retail, convenience, service organizations) with high equipment uptime requirements and distributed frontline teams adopting AWS-based AI and data solutions..
Highlights
- Agentic equipment troubleshooting: Turns manuals/SOPs into step-by-step guidance for frontline teams, reducing time-to-resolution.
- Fewer technician call-outs - store managers are emowered to practively solve maintenance issues themselves (saving on average ~$750/call-out.) If problem can't be solved in-house, agent auto-escalates complex issues with technician-ready tickets that include context, symptoms, and attempted steps.
- Fast pilot-to-scale: Stand up a module-based pilot in ~8–12 weeks and scale to enterprise rollout with measurable KPIs.
Details
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Support
Vendor support
Primary contacts: Aidan Altman — aidan.altman@capgemini.com Aaron Cheng — aaron.cheng@capgemini.com Alex Mirzabeigi--- Alex.mirzabeigi@capgemini.com
Support scope: Business hours support, onboarding assistance, and integration guidance; optional managed services / premium support via SOW.