Agentic AI Development & Engineering
AI Agents That Actually Ship to Production
We design, build, and deploy autonomous AI agents that execute real workflows — processing documents, making decisions, and taking actions across your systems. Not demos. Not decks. Production systems with guardrails, audit trails, and a ship date.
Trusted by Enterprise Leaders
Beyond Chatbots
What Is Agentic AI and Why Does It Matter?
AI agents are autonomous systems that don’t just respond to prompts — they plan, decide, and act. They connect to your tools, execute multi-step workflows, and deliver outcomes without constant human oversight. The difference between a chatbot and an agent is the difference between answering a question and doing the work.
Autonomous Execution
Agents don’t wait for instructions at every step. They receive a goal, plan the approach, execute across multiple systems, and deliver results — handling exceptions along the way.
MCP / Multi-Agent Orchestration
Multiple gents working together as a coordinated system — not in isolation. The result: end-to-end workflows that run autonomously, at scale, across your entire operation.
Enterprise Guardrails
Every agent we build includes permission boundaries, audit logging, human-in-the-loop checkpoints, and rollback capabilities. Autonomy with accountability.
Measurable ROI From Day One
Our agents ship with KPI instrumentation built in. You’ll know exactly how many hours they save, how many tasks they complete, and what they cost per action.
Agents In Production — Real Results
Bennett International
Preferred Legal Group
Carmax
SkillCloud
What We Build
Enterprise Agentic AI Solutions
Each agent type is purpose-built for a specific class of enterprise problem. We don’t build generic agents — we build agents that do one job exceptionally well.
Document Intelligence Agents
Agents that read, extract, classify, and act on documents — invoices, contracts, compliance filings, medical records, and legal briefs. OCR + LLM + structured output.
Conversational AI Agents
Beyond chatbots: agents that answer questions from your proprietary data using RAG, escalate intelligently, and take actions on behalf of users in real time.
Workflow Automation Agents
Agents that replace manual multi-step processes — screening candidates, processing invoices, calculating commissions, scheduling interviews, and routing approvals.
Research & Analysis Agents
Agents that synthesize information across multiple sources — financial due diligence, competitive intelligence, survey analysis, and executive reporting.
Data & Sales Intelligence Agents
Conversational interfaces to your data warehouse. Representatives ask plain-language questions, agents query databases, and return visual answers in seconds.
Evergreen: Real-time sales insights
Multi-Agent Systems
Orchestrated teams of specialized agents that collaborate on complex tasks — one extracts data, another validates, a third generates output, a fourth monitors quality.
Landstar: Unified command center
Industries We Serve
AI Agents Built for Your Industry
Every industry has unique workflows, compliance requirements, and data challenges. We build agents that understand yours.
Agentic AI for Logistics & Transportation
Logistics companies operate on razor-thin margins with massive data fragmentation. Agents, dispatchers, and operations teams waste hours hunting through disconnected systems for answers that should be instant.
Our AI agents unify transport management, capacity portals, and internal knowledge into a single conversational interface — giving your team real-time answers from one place.
- →Conversational agent for shipment tracking & capacity queries
- →Document processing for BOLs, PODs, and rate confirmations
- →Automated carrier communication and load matching
- →Demand forecasting and route optimization agents
- →Compliance document extraction and audit preparation
Overview:
Overview:
Agentic AI for Legal Teams & Law Firms
Law firms process thousands of documents per case — medical records, police reports, insurance correspondence, prior legal filings. Paralegals spend 70% of their time on document review and template population instead of case strategy.
Our document intelligence agents scan case files, identify relevant claims, populate templates, and calculate damages — delivering 90% complete drafts for human review in minutes instead of hours.
- →AI-powered demand letter generation from case files
- →Contract analysis and clause extraction agents
- →Medical record summarization for personal injury cases
- →Legal research agents with citation verification
- →Case intake automation and conflict checking
Overview:
Overview:
Agentic AI for Financial Services
Financial institutions drown in regulatory requirements, due diligence processes, and manual data extraction. Analysts spend weeks on tasks that AI agents can complete in hours — with greater accuracy and full audit trails.
Our agents automate due diligence research, invoice processing, financial document extraction, and finance compliance reporting — all with enterprise-grade guardrails and explainability.
- →Automated due diligence and financial data extraction
- →Invoice processing with 95% automation rate
- →Regulatory compliance monitoring agents
- →Fraud detection and anomaly identification
- →Portfolio analysis and risk assessment agents
Overview:
Overview:
Agentic AI for Retail & Supply Chain
HR teams and consulting firms face an impossible scaling challenge: every new client or employee creates more manual work — answering the same questions, processing the same documents, generating the same reports.
Our AI agents handle candidate screening, HR policy Q&A, executive assessment analysis, and consulting report generation — with strict data isolation between clients and full compliance with employment regulations.
- →AI-powered candidate screening and interview scheduling
- →HR policy chatbot with client-specific data isolation
- →360-degree executive assessment report generation
- →Employee onboarding automation agents
- →Compensation analysis and benchmarking agents
Overview:
Overview:
Agentic AI for Insurance
Insurance workflows are document-heavy, decision-intensive, and compliance-critical. Claims processing, underwriting, and policy servicing involve repetitive steps that are perfect for agent automation — but require absolute accuracy and auditability.
Our agents process claims documents, extract policy details, automate underwriting workflows, and generate compliance reports — all with human-in-the-loop checkpoints for high-stakes decisions.
- →Claims document processing and extraction
- →Automated underwriting workflow agents
- →Policy servicing and customer communication
- →Fraud detection and investigation support
- →Regulatory reporting and compliance agents
Overview:
Overview:
Logistics & Transportation
Bennett: A Unified Command Center for Logistics Agents
Bennetts agents were drowning in fragmented data — transport management, capacity portals, and internal documents scattered across multiple systems. Every answer required hunting through three different platforms.
RTS Labs built a conversational AI assistant directly into the Bennetts Agent Portal. It connects to shipment APIs, live capacity data, and internal knowledge sources. Agents now ask natural questions like “What’s the current capacity in Lexington, KY?” and get immediate, reliable answers from a single interface.
Agent profitability
How the Agent Works
Agents In Production
Real Agents. Real Companies. Real Results.
Every agent below is in production today — handling real workflows, processing real data, and delivering measurable outcomes for companies you can verify.
Automotive Retail
Carmax: AI-Powered Hiring Engine
Screening agent reviews every application, highlights top matches with explanations, and handles interview scheduling autonomously.
Financial Services
Illume: Automated Due Diligence
RAG-powered agent extracts, summarizes, and evaluates financial data against regulatory frameworks — producing ready-to-use report components.
✓ Greater accuracy
legal
Preferred Legal: AI Paralegal
Document agent scans case files, identifies claims, populates templates, and calculates damages — delivering 90% complete drafts for paralegal review.
✓ Higher case throughput
✓ Increased accuracy
HR & Professional Services
SkillCloud: HR Consulting at Scale
Secure AI assistant uses client-specific documents to deliver instant, sourced answers to HR questions — with strict data isolation between clients.
✓ Significant revenue growth
Logistics & Transportation
Bennett: Invoice Processing Agent
Backend AI system using OCR and LLMs to extract invoice details from PDFs, images, and handwritten scans — returning structured, validated data in seconds.
✓ Near-zero data errors
Executive Consulting
Schachter: 360° Analysis Agent
AI agent ingests 8-15 executive interviews, generates comprehensive 360-degree analysis reports, and provides interactive review interface for refinement.
✓ 1-3 days reduced to 2 hours
✓ Less human error
Automotive Retail
A Fortune 200 Retailer: From Manual Screening to a High-Touch Hiring Engine
Recruiters were buried in administrative work — reviewing resumes, cross-checking qualifications, juggling interview scheduling. The manual process slowed hiring and let top talent slip to competitors.
RTS Labs built an AI system designed around the recruiter’s actual workflow. It automatically reviews every application, highlights top matches with clear explanations for each recommendation, and handles interview coordination seamlessly.
Carmax Hiring Agent — Workflow
“RTS Labs became an extension of our team, delivering AI solutions that transformed how we operate. Their understanding of our needs and collaborative approach unlocked opportunities we hadn’t imagined. Truly a game-changer for our business.”
Gemma Brooks
COO, Blue Ocean Brain — An HSI Company
How We Work
From Brief to Production — And Beyond
Every AI agent engagement follows a proven six-phase process. No phase lasts longer than it needs to. No phase produces a deliverable that isn’t actionable.
1
Discover
Map your workflow, identify agent opportunities, validate feasibility.
2
Architect
Design agent topology, select models, define guardrails and integrations.
3
Build
Develop agent logic, integrate data sources, implement MCP, build UI.
4
Validate
Stress test with real data, red-team edge cases, tune accuracy.
5
Ship
Deploy to production, instrument KPIs, go live on the agreed date.
6
Empower
Train your team, hand off docs, establish monitoring. We leave you self-sufficient.
The Agentic AI Tech Stack
Enterprise-Grade Agent Architecture
We’re model-agnostic and framework-flexible. We choose the right tool for the job — not the tool we have a partnership deal with.
Orchestration
- LangGraph
- CrewAI
- AutoGen
- Custom frameworks
Models
- GPT-4 / GPT-4o
- Claude 3.5 / Opus
- Gemini Pro
- Local / fine-tuned LLMs
Tool Integration
- MCP (Model Context Protocol)
- Custom API connectors
- Database agents (SQL/NoSQL)
- File system & document tools
Memory & Retrieval
- Pinecone / Weaviate / Chroma
- RAG pipelines
- Hybrid search (semantic + keyword)
- Persistent conversation memory
Guardrails & Safety
- Permission boundaries
- Human-in-the-loop checkpoints
- Audit logging & lineage
- Output validation & filtering
Infrastructure
- AWS / Azure / GCP
- Kubernetes / Docker
- GenAI Ops
- Monitoring & observability
Why Choose RTS Labs for Agentic AI?
What Makes Us Different
We’re not the only company that says “AI agents.” We’re one of the few that has shipped hundreds of them to production. Powered by RTS Illuminate™
Builders, Not Advisors
We don’t produce strategy decks and leave. We write code, deploy systems, and stay until the agent is in production and performing.
Guardrails From Day One
We don’t bolt on safety after the fact. Every agent ships with permission boundaries, audit trails, HITL checkpoints, and rollback capabilities.
Fixed Scope & Timeline
Every engagement has a defined scope, a ship date, and a clear set of deliverables. No open-ended retainers. No scope creep.
14 Years of Enterprise Delivery
We’ve shipped 600+ systems since 2010. We know how enterprise IT works — procurement cycles, security reviews, integration complexity.
Get Started
Your AI Agent Journey Starts Here
From first conversation to production deployment in 90 days — Our Agentic AI Development Process – Powered by RTS Illuminate™
Send Us Your Brief
Tell us the workflow you want to automate. A paragraph is enough. We’ll ask the right follow-up questions.
Discovery Sprint
We map your workflow, validate feasibility, and define the agent architecture. Takes 1-2 weeks. You get a go/no-go decision.
Build & Ship
Fixed-scope development with weekly demos. You see progress every sprint. Agent ships to production on the agreed date.
Empower & Evolve
We train your team, hand off documentation, and set up monitoring. Your agent gets smarter over time as we tune it on real usage data.
Frequently Asked Questions
Common Questions About AI Agent Development
What is an AI agent and how is it different from a chatbot?
An AI agent is an autonomous system that can plan, decide, and take actions — not just respond to prompts. While a chatbot waits for input and generates a reply, an agent proactively executes multi-step workflows: querying databases, calling APIs, processing documents, and making decisions. Many of our solutions combine both — a conversational interface powered by an agentic backend that performs real work rather than just answering questions.
How is this different from RPA or Power Automate? We already tried automation.
RPA and Power Automate follow rigid, predetermined paths that break when conditions change. AI agents adapt to variations, handle exceptions, and make contextual decisions across complex workflows. They understand intent and navigate complexity the way your experienced staff would — not just “if-this-then-that” rules. For example, our Bennett invoice processing agent handles handwritten scans, inconsistent formats, and missing fields that would crash any RPA workflow.
What is Agentic Workflow Automation?
Agentic Workflow Automation is the next generation of business process automation. Unlike traditional RPA, which follows rigid rules, it uses Autonomous Agent Orchestration to handle complex, multi-step tasks that require reasoning and decision-making. At RTS Labs, we implement GenAI Ops (LLMOps) to ensure these systems are stable, scalable, and secure. To maintain enterprise compliance, we always build in Human-in-the-Loop (HITL) AI checkpoints, ensuring your team stays in control while the agents handle the heavy lifting.
How do you handle Data Governance for AI agents?
An agent is only as good as the data it can access. We specialize in building RAG-Ready Data Infrastructure that provides a secure “source of truth” for your agents. Our approach includes Agentic Data Engineering to automate pipeline maintenance and professional Vector Database Implementation using industry leaders like Pinecone, Weaviate, or Milvus. We also layer in Data Observability for AI to monitor data quality in real-time, preventing hallucinations and ensuring your agents are always acting on accurate, governed information.
Can agents handle manual exceptions in logistics?
Absolutely. This is the core of Agentic Supply Chain Optimization. While legacy systems often stall when a shipment is delayed or a document is missing, our agents are designed for Autonomous Logistics Exception Handling. Whether it’s Automated Carrier Communication to resolve a scheduling conflict or deploying AI Invoice Processing Agents to reconcile disputed charges, we build systems that don’t just “flag” problems—they take the necessary steps to solve them before they impact your bottom line.
How long does it take to build a production AI agent?
Typically 6-12 weeks depending on complexity. A focused single-workflow agent (document processing, invoice extraction) can ship in 6-8 weeks. Multi-agent systems with complex orchestration typically take 10-12 weeks. All timelines include discovery, architecture, development, testing, guardrails implementation, and production deployment.
What is MCP (Model Context Protocol) and why does it matter?
MCP is an open standard that allows AI agents to securely connect to enterprise tools, databases, and APIs through a unified interface. Instead of building custom integrations for every system, MCP provides a standardized way for agents to discover and use tools — similar to how USB standardized hardware connections. We implement MCP servers that connect agents to CRMs, ERPs, databases, and internal systems.
How do you ensure AI agents are safe and controllable?
Every agent we build includes four layers of safety: (1) Permission boundaries — agents can only access systems and data they’re explicitly authorized for. (2) Human-in-the-loop checkpoints — high-stakes decisions require human approval before execution. (3) Audit logging — every action is recorded with full lineage for compliance. (4) Rollback capabilities — any agent action can be reversed if needed.
What industries benefit most from AI agents?
AI agents deliver the highest ROI in industries with high-volume repetitive workflows, complex document processing, or real-time decision requirements. We’ve deployed production agents in logistics (shipment tracking, carrier communication), legal (demand letter generation, contract analysis), financial services (due diligence, invoice processing), insurance (claims, underwriting), and professional services (consulting reports, HR automation).
How much does AI agent development cost?
We offer fixed-scope engagements — not hourly billing — so costs are predictable from day one. A discovery sprint to validate feasibility typically runs 2-3 weeks. Full agent builds are scoped as fixed-price projects with clear deliverables and timelines. Contact us with your use case for a project-specific estimate.
Can AI agents work with our existing systems?
Yes — that’s the entire point. Our agents integrate with your existing tech stack via APIs, database connections, MCP servers, and custom connectors. We’ve connected agents to Salesforce, SAP, Oracle, Snowflake, HubSpot, custom ERPs, legacy databases, and dozens of other enterprise systems.
Headquartered in Richmond, VA. Delivering AI Agents Nationwide.
100+ engineers and AI architects serving enterprise clients across the United States. One focused team. Not spread across 17 countries — dedicated to your build.
Richmond, VA (HQ)
Remote Delivery Nationwide
On-Site Available
U.S.-Based Team
let’s talk
Ready to Build Your Agentic AI Solution?
Tell us the workflow you want to automate. We’ll tell you if an agent is the right solution — and if it is, we’ll build it and ship it in 90 days.
✓No obligation discovery call
✓Response within 24 hours
✓Fixed-scope proposals only
✓NDA available on request