Summary
AI startup, Monce, addressed escalating infrastructure costs and manual deployment bottlenecks caused by rapid enterprise expansion by working with Automat-it for a strategic cloud migration from Azure to AWS. Implementing a scalable Amazon ECS architecture leveraging Terraform Infrastructure-as-code resulted in significantly improved unit economics and a reduction in new client onboarding time from days to minutes.
About Monce
Monce is an AI startup that runs B2B commercial operations, serving major industrial groups across multiple verticals: construction, glass manufacturing, surface treatment, aerospace, aluminum, B2B distribution.
Its proprietary multi-agent pipeline reads inbound order across any format, extracts technical specifications, matches them against product catalogs with customer-specific pricing, and sends it directly to ERP. Built by operators who typed orders into AS400 for years, Monce replaces 25 minutes of manual data entry per order with under 60 seconds of AI processing. The platform reduces order errors from 8-12% to under 1% and cuts processing costs by 70%.
The Challenge: Rapid expansion, limited infrastructure
Monce’s rapid client expansion: from a single factory to multiple enterprise accounts across France and into new industrial verticals, exposed the limits of its existing Azure infrastructure.
Three specific constraints were threatening the startup’s growth trajectory:
- Cost scaling faster than revenue: Azure’s container architecture maintained fixed compute costs regardless of processing volume, meaning infrastructure spend grew with each new client even during off-peak hours.
- AI inference economics: The cost of running Monce’s multi-agent LLM pipeline which reads full order conversations, matches to catalogs using proprietary matching, applies customer-specific logic, and learns vocabulary and patterns, on Azure AI services was higher than equivalent AWS alternatives, directly impacting unit economics at scale.
- Manual deployment overhead: Each new client required custom infrastructure configuration, consuming engineering time better spent on product development and the platform’s expansion into revenue intelligence and multi-channel ordering.
To address these challenges and achieve significant cost savings and efficiency improvements, Monce was seeking to migrate its cloud infrastructure to AWS.
The Solution: Effective migration for scale and cost saving
Automat-it identified the potential for significant cost savings and improved scalability by migrating to AWS serverless architecture, including ECS on EC2.
Specifically, the solution implemented by Automat-it’s team of engineers and DevOps experts was based on Amazon ECS architecture and delivered using Terraform Infrastructure-as-code (IaC). This brought the benefit of the same infrastructure creation with a different configuration on every deployment.
Automat-it was able to utilize best practices for a secure and stable environment developed across hundreds of AWS migrations completed for other startups. These best practices include:
- Cost optimization using a combination of well-designed infrastructure and our FinOps experts
- Scalability, allowing customers to scale their applications without worrying about affecting their customers
Automat-it integrated Monce’s existing Firebase frontend with AWS ECS, which ran the FastAPI Python application structure (part of the startup’s monolithic backend pre-migration) WebSocket connectivity between the frontend and backend was achieved through Application Load Balancer.
The Results: From days to minutes
The approach taken for this migration to AWS provided cost optimization while leveraging AWS managed services for improved scalability and AI capabilities – all crucial elements of Monce’s growth ambitions and commitment to delivering trusted, AI-powered services to its customer base.
Specifically, the migration implemented by Automat-it allowed Monce to achieve:
- Significant reduction in monthly infrastructure costs: elastic scaling eliminated fixed compute spend during off-peak hours, improving Monce’s already strong unit economics.
Zero client downtime during migration: all live industrial deployments continued uninterrupted, preserving the trust of enterprise customers who depend on Monce for daily order processing. - New client deployment in minutes, not days: Terraform IaC automates environment creation for each new factory, essential as Monce scales their enterprise customers across glass, surface treatment, aerospace, and industrial distribution.
- Infrastructure that scales with demand: costs now track linearly with order volume rather than growing with each new client contract, supporting Monce’s expansion into new verticals and new geographies.
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