JBS Dev

Your AI Strategy Deck
Won't Automate Anything.

We build production AI systems that integrate with your real infrastructure, workflows, and operations — not just another chatbot demo.

SOC2
AWS Advanced Partner
HIPAA Ready

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Deployment guide + 30-min architecture call with a senior engineer.

100% confidential. We sign NDAs before technical discussions.

Find Out Where AI Actually Saves You Money

You're not buying AI. You're buying AI that survives enterprise reality. That means integrating with your actual systems, passing your actual security review, and delivering measurable ROI — not a demo that impresses the board and dies in staging.

Senior-Led

Work directly with expert engineers, never a B-team.

High-Velocity

From discovery to production in weeks, not months.

Cloud Native

Built on enterprise-grade cloud infrastructure.

95%

Reduction in Manual Processing

<6

Weeks to Production

100%

Client IP Ownership

24/7

AWS Infrastructure Uptime

The Brutal Truth

Most enterprises are still cosplaying AI. We help teams move from innovation theater to production-grade AI workflows that reduce operational drag and survive security review.

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Most Enterprises Are Still Cosplaying AI

Innovation theater vs. production-grade workflows

What Most Vendors Sell You

  • close Pre-built chatbots that break on real data
  • close Can't touch your legacy systems or proprietary data
  • close Black-box SaaS that locks you in and owns your IP
  • close Junior teams hidden behind impressive sales decks

What We Actually Ship

  • check_circle Built for your enterprise workflows — not a generic demo
  • check_circle Integrated with mainframes, legacy DBs, and proprietary APIs
  • check_circle You own 100% of the code, IP, and infrastructure
  • check_circle Senior engineers from day one — no bait and switch
Generic LLM platforms can't integrate with your proprietary systems. We build AI that reduces operational drag and survives security review — because a demo that can't pass infosec is just expensive theater.
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Real Results. Not Slide Decks.

AI-Generated Content Outperforms Humans by 50%

The Challenge

Email campaigns drove over half of revenue, but crafting content manually was a bottleneck. They needed to automate content creation while preserving a distinctive brand voice.

The Solution

JBS Dev built a fine-tuned AI content pipeline using AWS SageMaker and Bedrock — not just prompt engineering. We ran controlled A/B experiments across four test groups to prove performance before scaling.

The Result

AI-generated emails outperformed all other test groups — including human-edited — by 50%+ in revenue on peak days. Content throughput more than doubled.

10x Scale Without Changing the Platform

The Challenge

Fama's AI screening platform ran on managed servers with Java and Kubernetes. Each new customer required adding servers — expensive, slow, and couldn't keep up with growth.

The Solution

JBS Dev migrated the platform to AWS serverless: Fargate for ML models, EventBridge for orchestration, Lambda for event-driven compute, and SageMaker for model training.

The Result

10x traffic capacity without changing platform structure. Infrastructure costs dropped. Traffic spikes handled automatically.

Healthcare AI: Manual Review to Real-Time Processing

The Challenge

Processing Epic medical records from multiple hospital systems with inconsistent formats — some brief, some hundreds of pages — making manual review unscalable.

The Solution

JBS Dev built an AI-powered document processing pipeline using Amazon Bedrock LLMs to extract and standardize medical data, with Lambda for orchestration and dynamic scaling.

The Result

Automated what was previously manual review. Real-time clinical insights, reduced errors, consistent processing regardless of volume.

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Why Most AI Projects Die in Pilot Hell

Most enterprise AI initiatives fail because vendors can't handle real-world complexity. They sell you a vision, hand you off to juniors, and disappear when it's time to integrate with your actual stack.

Why Vendors Fail You

  • warning Can't access your mainframes or legacy systems
  • warning No human oversight — black-box decisions nobody trusts
  • warning Junior teams who've never shipped enterprise AI at scale
  • warning Black-box SaaS that creates vendor lock-in

AI That Survives Enterprise Reality

Every solution is architected for your existing infrastructure. We don't sell futures — we ship systems that work on day one and scale on day thirty.
Senior-Led: The engineers you talk to are the engineers who build your solution. No handoffs. No surprises. No B-team.
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Questions We Actually Get Asked

How does JBS Dev ensure data privacy in an Agentic AI workflow?

Our architecture utilizes private VPC environments and enterprise AI 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.

How quickly can a production-grade agent be deployed?

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.

How do you handle errors in complex tasks?

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.

Can these agents work with our existing legacy systems?

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.

What is the ROI of Agentic AI vs. Traditional methods?

Traditional methods are limited by manual processes. JBS agents provide significant improvement in efficiency by automating the "doing," not just the "summarizing."

Who owns the IP of the custom agents built by JBS Dev?

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.

How do you prevent "Prompt Injection" attacks on enterprise agents?

We utilize enterprise AI guardrails combined with custom "Input Sanitization" layers. Every prompt is intercepted and scrubbed for malicious patterns before it ever touches the LLM inference engine.

Can these agents handle 10,000+ concurrent tasks?

Yes. By leveraging 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.

How does the agent stay updated as our systems evolve?

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.

Will this agent require our senior staff to learn new languages?

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.

What is the sub-second response time for agents pulling from legacy data?

We optimize latency using Vector Caching and enterprise search indexing. By indexing legacy metadata, the agent can "locate" the necessary record in milliseconds, ensuring the total "Thought-to-Action" cycle stays under 2 seconds.

What happens if the underlying LLM (like Claude or GPT) goes offline?

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.

We'll build your proof of concept for free.

Seriously. Tell us what your last vendor couldn't deliver. We'll build a working POC in 2 weeks — you keep the code, no strings attached.

We'll reply within 4 hours with scoping questions. No sales drip.