AI Agent Development Services
We build AI agents that actually work — autonomous systems that handle real tasks, make decisions, and scale your operations. From concept to production in weeks, not months. We’ve been building production software for 13+ years and have delivered 730+ projects. That experience matters when you’re moving from idea to something your team can rely on day to day.
AI Agents That Do the Work, Not Just Answer Questions
A lot of “AI agents” right now are just chatbots with a new label. They can answer questions and summarize content, but they still rely on someone to take the next step. The work doesn’t move forward on its own, which is where most teams start to feel the gap between the grand promise of what AI can deliver and the reality of their tools. Real AI agents are different. They are built to take action and work independently.
They pull data from your systems, follow business logic, make decisions within defined guardrails, and complete tasks from start to finish. When something falls outside those guardrails, they escalate it to a person who has the capability to resolve the issue, so nothing gets stuck in the pipeline.
This is the shift from rule-based automation to agentic AI. Instead of rigid workflows that break when something changes, AI agents can handle variation, work with unstructured data, and work across multiple systems such as your CRM, email platform and document storage. They are designed to fit into how your business runs, not force you into a rigid and predefined way of working.
Our AI Agent Development Services
From custom agents to full multi-agent systems, we help teams automate processes, streamline operations, and turn AI into something that actually works day to day.
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Custom AI Agent Development
We build AI agents tailored to your workflows, not generic use cases. That can be a focused agent handling a single task or a coordinated system of agents working together. We use tools like LLMs, retrieval-based systems, and structured logic to make sure the solution fits your existing systems and how your team works.
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AI Process Automation Agents
Automate the repetitive work that slows your team down. We build AI agents that handle document processing, data entry, approvals, reporting, and email triage. The goal is to reduce manual effort, improve consistency, and keep work moving along without constant handoffs.
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Conversational AI & Virtual Assistants
These go beyond basic chatbots. We build AI assistants that understand context, can access your systems, and that can complete tasks, not just answer questions. That might include pulling data, updating records, or triggering workflows based on user input.
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Multi-Agent Systems
For more complex workflows, we design systems where multiple agents work together. Each agent has a specific role, and they coordinate through task handoffs, shared context, and clear responsibilities. This is useful when one process spans multiple steps, systems, or teams.
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CRM & Platform Agent Integration
We integrate AI agents directly into the platforms your team already uses. That includes CRM systems, internal tools, and other business software. For Salesforce teams, we support Agentforce. For other platforms, we build custom integrations using APIs so agents can operate within your existing workflows.
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AI Agent Strategy & Proof of Concept
If you’re not sure where to start, we help you figure that out. Through workshops, we map your workflows, identify where AI agents can have the most impact, and build a proof of concept. This lets you validate the approach before committing to a full build.
Industries We Serve with AI Agents
We design AI agents around the specific workflows, constraints, and systems of your industry—helping teams move faster, stay compliant, and reduce operational friction.
Financial Services
Automate high-stakes workflows with agents that support compliance checks, streamline client onboarding, assist with portfolio adjustments, and triage fraud alerts so your team can focus on decision-making instead of manual reviews.
Healthcare
Reduce the administrative burden on your team with agents that handle patient intake, appointment scheduling, claims processing, and clinical documentation. Let your teams move faster while staying with existing systems and processes.
Insurance
Improve speed and consistency across underwriting and claims. We build AI agents that support claims intake, automate policy renewals, assist underwriters, and handle customer service workflows without adding operational overhead.
Legal
Free up time for higher-value work with AI agents that support contract review, automate case intake, assist with legal research, and classify documents. This lets your teams find what they need faster and reduce manual effort.
Professional Services
Keep projects moving with AI agents that support staffing decisions, automate time entry, and help with proposal generation. They also improve knowledge access across your organization, reducing friction in day-to-day operations.
Education
Support students and staff with agents that handle enrollment workflows, respond to common student needs, and automate administrative processes so teams can spend more time on learning and less on manual coordination.
How We Build AI Agents
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Agent Strategy & Workflow Mapping
We start by understanding how your business actually runs. We look at where work slows down, where things break, and where time gets wasted. From there, we identify where an AI agent can help and focus on the use cases that will have the biggest impact.
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Agent Design & Architecture
Next, we design how the AI agent should behave. We choose the right models, define how it makes decisions, and connect it to the systems it needs. We also set guardrails so it knows when to act and when to hand things off.
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Build & Train
Then we build it and connect it to your systems, whether that’s your CRM, internal tools, databases, or APIs. We train it on your data and test it against real scenarios so it holds up outside of a demo.
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Deploy & Monitor
Once it’s ready, we deploy it into production. We monitor performance, track issues, and keep humans involved where decisions need oversight. The focus is on reliability from day one.
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Optimize & Scale
After launch, we keep improving. We refine how the agent makes decisions, expand into new workflows, and add capabilities over time. As your needs grow, we can introduce more agents and scale the system with you.
Featured AI Agent Projects
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AI-Enhanced Self-Service Hub for Bullhorn
Bullhorn needed to improve efficiency and reduce support overhead across its platform. LaunchPad Lab built an AI-enhanced self-service hub that helps users find answers, navigate workflows, and complete tasks faster without relying on support teams. The result was improved efficiency and a better user experience across the platform.
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AI Workflows for an Actuarial Firm
An actuarial firm was relying on spreadsheets and manual reconciliation, with reporting cycles taking up to 60 days. LaunchPad Lab built an AI-enhanced platform that automates data intake, reconciliation, and reporting. The result was a 10x faster turnaround and a projected $2M annual profit increase.
What Our Clients Say
Visit Our Chicago Office
If you’re in Chicago, we’d love to meet in person. Come by our office to talk through your goals, look at your systems and data, and map what a practical first AI step could look like.
Address
448 N La Salle Dr Floor 9
Chicago, IL 60654, United States
Phone
(312) 888-9651
Email
contact@launchpadlab.com
Frequently Asked Questions
What is AI agent development?
AI agent development is the process of building systems that can perform tasks autonomously. Instead of just responding to input, an agent can pull data, follow rules, and move work forward. The focus is on execution, not just output.
How much does AI agent development cost?
It depends on what you’re trying to automate. A smaller proof of concept can be a good way to test value without a large investment. A full production system costs more because it includes integrations, testing, and ongoing support. We usually define the use case first, then size the work from there.
How long does it take to build an AI agent?
A focused proof of concept can take a few weeks. A production-ready agent usually takes a few months, depending on complexity and integrations. We work in short cycles so you can see progress early and adjust as we go.
What is the difference between a chatbot and an AI agent?
A chatbot answers questions. An AI agent takes action. It can access systems, follow business logic, and complete tasks from start to finish. In most cases, the chatbot is just the interface, while the agent is doing the work behind the scenes.
What platforms can AI agents integrate with?
AI agents can connect to most systems your team already uses. That includes CRMs, internal tools, databases, and third-party platforms. If it has an API, we can usually integrate with it and make it part of the workflow.
Can AI agents work with our existing CRM and internal systems?
Yes. In most cases, the goal is to improve the systems you already have, not replace them. We connect agents to your CRM and internal tools so they can read, update, and act on data without changing how your team works day to day.
What industries benefit most from AI agents?
Any industry with repeatable workflows and manual processes can benefit. We see strong use cases in financial services, healthcare, insurance, legal, and professional services. The common thread is clear processes where automation can reduce time and improve consistency.
Let’s Build Your AI Agent
Tell us about the workflow you want to automate. We’ll help you determine whether an AI agent is the right solution or if something simpler will do the job.
You don’t need a fully defined plan to get started. We can talk through what’s slowing your team down, what you’ve already tried, and where automation could make a real difference.
No hype. No pitch decks. Just a practical conversation about what’s worth building and what isn’t.