What are AI agents—and how to build them for your B2B customers with Launchpad.io 

In today’s enterprise software landscape, the promise of AI is no longer just about insights. It’s about action—taking intelligent, context-aware, and compliant steps on behalf of users to deliver business outcomes. This is where AI agents come in. 

But for B2B software companies, building AI agents that are configurable, multi-tenant, and enterprise-grade isn’t just a technical challenge—it’s a product and go-to-market challenge. Especially when your clients operate in regulated industries and demand control, visibility, and reliability. 

Building AI agents that are configurable, multi-tenant, and enterprise-grade isn’t just a technical challenge—it’s a product and go-to-market challenge.

At Launchpad.io, we’ve built the first low-code platform specifically for software companies, enabling you to build and deliver AI agents as part of your product—fast, cost-effectively, and at scale. 

What are AI agents? 

AI agents are intelligent software components that can reason, plan, and act autonomously or semi-autonomously to achieve specific business goals. Unlike traditional automation or scripts, AI agents are: 

☆ Context-aware – They use natural language understanding, business rules, and external data to make decisions. 
☆  Goal-driven – They are designed to complete tasks or reach specific outcomes, not just run predefined steps. 
☆  Adaptive – They adjust their actions based on the scenario, constraints, or user feedback. 
☆  Composable – They often integrate multiple systems and AI models to operate across workflows. 

For example, a healthcare claims agent might validate benefits, assess claim eligibility, recommend next steps, and initiate approval workflows—end-to-end and automatically. 

Why building B2B AI agents is hard 

If you’ve tried building an AI-powered product feature for a B2B client, you’ve probably hit some of these walls: 

☆  You needed developers to write code across backend, frontend, and integrations. 
☆  You had to manually stitch together LLM APIs, workflow engines, external systems, and compliance logic. 
☆  You struggled to make it configurable per client while still operating from a shared codebase. 
☆  You ran into resistance from clients around security, predictability, and governance. 

And all of that just to pilot one agent. 

Now imagine trying to sell and support that same agent across dozens of clients, each with different configurations, rules, and data models. 

This is why most AI agents today are either internal experiments or too fragile for production. 

Launchpad: Purpose-built for B2B software companies building productized AI agents 

Launchpad.io removes the complexity from building, scaling, and monetizing AI agents by providing a low-code, multi-tenant, full-stack platform purpose-built for software companies. 

Here’s how Launchpad empowers you to go from idea to production: 

Low-code workflow orchestration 
Build structured, auditable agent workflows using Launchpad’s visual orchestration engine. Combine human tasks, system actions, and AI steps in minutes. 

Native low-code GenAI connections with Amazon Bedrock 
Easily plug in foundation models supported by Bedrock like Claude or others through our pre-integrated GenAI Connection —no API plumbing needed. Prompt tuning and contextual chaining are built in. 

REST integrations & serverless functions 
Securely integrate with external systems via REST or trigger custom logic through serverless functions—all from the same platform. Launchpad supports managed AWS Lambdas, enabling you to run scalable, event-driven compute without managing infrastructure. 

Multi-tenant by design 
Deliver configurable agents as part of your product across all clients. Define client-specific rules, data models, and access controls without duplicating code. 

Reusable patterns 
Create agent templates for common B2B outcomes—like claims processing, onboarding, or workforce management—and sell them as value-added features or standalone products. 

Real use case: Building a healthcare claims agent 

Imagine you're a healthtech company serving insurers and TPAs. You want to deliver an agent that: 

1. Accepts a new medical claim from a provider portal or EDI feed 
2. Uses GenAI to summarize and categorize diagnosis and treatment 
3. Verifies eligibility based on plan data 
4. Checks against policy rules for coverage and exclusions 
5. Flags potential errors, missing data, or medical necessity issues 
6. Routes to the right team for review or initiates auto-adjudication 
7. Sends status updates and next steps to providers and members 

With Launchpad, this agent could be: 

☆   Built visually in hours, not weeks 
☆   Pre-wired to your LLM of choice using Bedrock 
☆   Configurable for each payer or plan 
☆   Compliant and auditable, meeting HIPAA and other regulatory needs 
☆   Deployed as a repeatable revenue stream, not a bespoke service 

From Complex to configurable 

What used to take teams of engineers, complex infrastructure, and months of effort can now be built and scaled by product teams in a matter of days.

Instead of reinventing core plumbing like: 

☆  Workflow engines 
☆  Role-based access 
☆  Multi-tenancy 
☆  LLM integration 
☆  Case management 

You focus on what your clients actually pay for: AI agents that deliver outcomes. 

Build agents. Deliver outcomes. Grow revenue. 

At Launchpad, we believe the future of SaaS isn’t about more dashboards or data entry. It’s about providing your clients with intelligent workflows that get the job done. 

AI agents are the next evolution of B2B software—and with Launchpad, they’re finally within reach. 

Have an idea for an agentic AI product? Start exploring new worlds where you can quickly build AI agents that can actually deliver real business outcomes. Start Launchpad Explore for free.