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AI Engineering
& Automation

AI that works inside your business

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AI Engineering & Automation

Intelligence connected to the work itself

Many organizations have tested generative AI. Few have moved from experiment to operational value. The challenge is rarely the model. AI becomes useful when it understands business context, connects to trusted data, follows the right workflow, and keeps humans in control where judgment, compliance, or customer trust matter.

JBS embeds AI into real operating environments. We design, engineer, integrate, deploy, and support AI systems that reduce manual work, improve response times, accelerate decisions, and make teams more productive. Not a chat window bolted onto the side of the business, but intelligence connected to the work itself.

Challenges
we solve

  • Manual document, email, service, sales, and back-office work that slows teams down.
  • Disconnected systems that force employees to search across platforms before they can act.
  • Support and service workflows that cannot scale without adding headcount.
  • Insurance, finance, and operations processes that need faster intake, triage, approvals, and communication.
  • AI pilots that are not connected to data, workflows, governance, or measurable value.
  • Inconsistent AI outputs that erode trust because prompts, retrieval, evaluation, and review were not engineered properly.

What we deliver

Generative AI applications

AI-powered products, internal tools, and experiences built around business context and controlled outputs.

Business copilots

Role-specific assistants that retrieve information, answer questions, summarize content, and support decisions.

AI agents

Specialized AI systems that execute tasks, coordinate work, trigger actions, retrieve records, and escalate exceptions.

Agentic workflows

Multi-step workflows combining reasoning, business rules, integrations, approvals, and human-in-the-loop checkpoints.

Intelligent workflow automation

Automation for documents, emails, proposals, renewals, claims, submissions, approvals, and back-office processes.

Voice AI assistants

Voice-based assistants for support, training, coaching, intake, and operational guidance.

Machine learning solutions

Prediction, classification, recommendation, prioritization, scoring, and decision-support models.

RAG and knowledge systems

Retrieval-augmented systems that ground AI responses in approved documents, policies, data, and knowledge bases.

AI governance and enablement

Guardrails, use-case prioritization, evaluation, adoption planning, and risk controls.

Salesforce and Agentforce integration

AI-enabled workflow improvements and agentic experiences inside Salesforce and connected CRM processes.

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Proof in action

Insurance AI Ecosystem

JBS deployed purpose-built AI agents across claims triage, underwriting support, customer service, and campaign operations, with orchestration and human review built into the operating model.

Renewal Automation

JBS built an AI-powered renewal workflow that tracks expiring policies, triggers proactive outreach, compares policy changes, and drafts customer-ready communication. Zero missed renewals and a 20% cut in information-gathering time followed.

Loss Run Processing

JBS built a loss run workflow with conversational email agents and document intelligence, cutting collection cycles from 6 to 7 weeks down to 2 to 3, with 35% overall time savings.

Certificate Issuance

JBS automated the certificate-of-insurance pipeline end to end, scaling capacity from 3 to 4 requests a day to 50 to 60 or more, with same-day turnaround.

Proposal Generation

JBS built a proposal workflow that compares carrier quotes and produces branded client proposals in under 5 minutes, cutting commercial proposal prep time by 40%.

Enterprise AI Assistant

JBS built a multi-LLM enterprise assistant with retrieval, persistent context, and role-based access, so employees reach knowledge through one intelligent interface.

Intelligent Financial Workflows

JBS engineered a financial operations platform with RAG retrieval, workflow orchestration, payment-system integration, and decision support.

AI Shopping Assistant

JBS built an agentic commerce assistant that guides customers from discovery to comparison to checkout, improving AI-assisted journeys.

How we work

01

Discover

We identify the process, users, decision points, systems, documents, data sources, risks, and outcomes that matter.

02

Assess

We evaluate data readiness, integration feasibility, model fit, workflow complexity, security, compliance, and human-review needs.

03

Prototype or roadmap

We create a proof of value, prototype, workflow design, or implementation roadmap showing how AI connects to the process.

04

Build

We engineer the application, agent, copilot, retrieval layer, automation, integrations, prompts, evaluation pipeline, and experience.

05

Deploy

We test outputs, validate workflows, connect systems, train users, document controls, and launch with adoption support.

06

Support

We monitor performance, improve prompts and retrieval, optimize workflows, and evolve the system as needs change.

Why

We connect AI to real workflows, not isolated chat interfaces.

We understand document-heavy, service-heavy, operations-heavy environments where automation has to be accurate and controlled.

We combine AI engineering with software engineering, integration, data, UX, and managed services.

We design human-in-the-loop workflows so automation never removes accountability.

We support what we build through monitoring, prompt refinement, and workflow optimization.

Frequently asked questions

What are AI engineering services?

Designing, building, integrating, testing, deploying, and supporting AI systems for real business use. This can include generative AI applications, agents, copilots, machine learning models, document intelligence, workflow automation, and retrieval systems.

What is the difference between a chatbot, a copilot, and an AI agent?

A chatbot answers questions. A copilot supports users with context, content, recommendations, and knowledge retrieval. An agent goes further, executing tasks, coordinating workflows, triggering actions, using tools, and escalating exceptions.

What are agentic AI workflows?

Multi-step workflows where AI agents interpret context, coordinate tasks, retrieve information, apply business rules, trigger actions, and involve humans when judgment, risk, or approval is required.

How does JBS keep AI outputs accurate and controlled?

Through approved data sources, retrieval-augmented generation, structured prompts, output validation, evaluation pipelines, role-based access, human-in-the-loop review, escalation logic, and continuous monitoring.

Can AI automate insurance workflows?

Yes. AI can automate renewals, claims intake, underwriting support, loss run collection, certificate issuance, proposal generation, and submission intake. Human reviewers stay involved for exceptions and compliance-sensitive decisions.

Does JBS work with Salesforce and Agentforce-style AI workflows?

Yes. We support Salesforce environments through AI-enabled workflow improvements, CRM automation, managed services, Agentforce-style experiences, integrations, and optimization.

Put AI to work inside your operations

Whether you need an agent, a copilot, or an automated workflow, JBS can take you from idea to a working system your teams will actually use.

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