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Legacy System Modernization for Your Enterprise Applications.
Modernizing Legacy Systems without risky rewrites, operational disruption, or expensive multi-year rebuilds.
Advanced Partner
Trusted by
Most legacy modernization projects fail because they prioritize rebuilding over business outcomes. JBS Dev takes a pragmatic modernization approach by integrating modern architecture alongside your existing [Tech Stack] to improve performance, scalability, and operational efficiency without disrupting the systems your business already depends on.
Work directly with expert engineers, never a B-team.
From discovery to production in weeks, not months.
Built on enterprise-grade AWS infrastructure.
Reduction in Processing Time
Weeks to Production
Client IP Ownership
AWS Infrastructure Uptime
JBS Dev helps enterprises modernize legacy applications, integrate modern cloud architecture, and reduce technical debt without risky “rip-and-replace” projects. Senior-led engineering for organizations that need scalable systems, faster delivery, and real operational ROI.
Stop Building Chatbots. Start Building Outcome Agents.
Unlike generic LLM wrappers, JBS Dev designs agents that do the work. By combining your tech stack with senior-led engineering, we ensure your AI agents address challenges without compromising security or human oversight.
Invoice review was slow, manual, and difficult to scale across contracts and billing rules.
JBS built an agentic workflow to capture invoices, validate details, analyze contract terms, and flag exceptions for review.
Faster processing, fewer manual touches, and better visibility into billing issues before approval.
Forecasting required days of manual analysis across sales, inventory, and operational data.
JBS built an AI-assisted forecasting workflow to analyze historical data, model scenarios, and present recommendations for business review.
Forecasting time was reduced from days to minutes, improving planning speed and decision confidence.
Teams spent too much time checking required documents, insurance details, and application information.
JBS built an agentic workflow to review submitted documents, verify required fields, and prepare applications for human approval.
Reduced errors, faster processing, and less manual review across document-heavy workflows.
Most enterprise AI projects fail because they prioritize 'hype' over 'functional.' At JBS Dev, we focus on a strategic approach to close the gap between experimental prototypes and production-ready systems.
We don't build in a vacuum. We prioritize your success factors to ensure your agents are production-ready and scalable.
High-Velocity Execution: No B-teams. No fluff. Just senior-led engineering that delivers results in weeks.
Our architecture utilizes private VPC environments and Amazon Bedrock Guardrails to ensure your data never leaves your infrastructure or trains public models. We implement enterprise-grade encryption and PII redacting layers before any data reaches the LLM.
Because we focus on high-velocity engineering, we move from discovery to a functional "Sidecar" agent in weeks, not months. We prioritize integrating with your existing tech stack to avoid "from-scratch" delays.
We don't rely on "black box" logic. Every JBS agent includes a Human-in-the-loop validation layer and a multi-step "Chain of Thought" verification process to eliminate hallucinations and ensure technical precision.
Yes. We specialize in building custom connectors for Legacy SQL, Mainframes, and proprietary databases. Our goal is to make your existing data accessible to AI without a total system overhaul.
Traditional methods are limited by manual processes. JBS agents provide significant improvement in efficiency by automating the "doing," not just the "summarizing."
You do. JBS Dev builds custom software on your infrastructure. Unlike "black-box" SaaS platforms, the proprietary logic, integration code, and agent architectures we deploy are fully owned by the client.
We utilize Amazon Bedrock Guardrails combined with custom "Input Sanitization" layers. Every prompt is intercepted and scrubbed for malicious patterns before it ever touches the LLM inference engine.
Yes. By leveraging AWS Lambda and serverless orchestration, our agentic workflows scale horizontally. We don't build on single servers; we build on cloud-native architecture that expands to meet demand instantly.
Our agents are built with modular API connectors. If you update your database or change your CRM, we simply swap the "Action Tool" in the agent's library without having to retrain the core intelligence.
No. The interface is natural language. Your experts interact with the "Sidecar" agent in plain English (or via existing dashboards) while the agent handles the complex code and data retrieval in the background.
We optimize latency using Vector Caching and Amazon OpenSearch. By indexing legacy metadata, the agent can "locate" the necessary record in milliseconds, ensuring the total "Thought-to-Action" cycle stays under 2 seconds.
We design for LLM Redundancy. Our orchestration layer can automatically "failover" to a secondary model (e.g., from Claude 3 to Llama 3) to ensure your business-critical workflows never stop.