Introducing the Complete AI Agent Platform

Today, we're evolving how we talk about Herm.Chat. We're moving from "chatbots" to AI agents — because what you can build with our platform goes far beyond basic chat interactions.

Why AI Agents?

The word "chatbot" suggests something limited: a simple question-and-answer widget. But Herm.Chat has always been more than that. Our platform enables:

• Autonomous decision-making through agentic actions
• Multi-step workflows with CRM integrations, support tickets, and webhooks
• Strategic insights that inform leadership decisions
• Internal knowledge management that boosts team productivity

These aren't just chatbots. They're AI agents — intelligent systems that take action, make decisions, and deliver real business value.

Three Types of AI Agents

We've organized our platform around three core agent types, each designed for specific business needs:

1. Customer-Facing Agents

What they do:

• Answer customer questions 24/7
• Qualify leads and identify high-intent prospects
• Handle sales objections and boost conversions
• Automate support and reduce ticket volume

Real use cases:

• A SaaS company uses a customer-facing agent to qualify demo requests, reducing sales team workload by 60%
• An e-commerce store deploys an agent on their pricing page, increasing conversions by 23%
• A B2B service provider uses an agent to handle after-hours inquiries, capturing leads that would otherwise be lost

2. Internal Knowledge Agents

What they do:

• Search internal documentation instantly
• Integrate with Slack for in-workspace answers
• Help teams find information without hunting through folders
• Onboard new hires faster with instant access to company knowledge

Real use cases:

• A remote team integrates their internal agent with Slack, reducing "where is this document?" questions by 80%
• A growing startup uses an internal agent to onboard new engineers, cutting onboarding time from 2 weeks to 3 days
• A customer success team uses an internal agent to access product documentation during live calls

3. Strategy Agents

What they do:

• Analyze data and identify trends
• Provide leadership with data-driven insights
• Help executives make faster, better decisions
• Align strategic decisions with company goals and historical data

Real use cases:

• A leadership team queries their strategy agent about past pricing experiments before launching a new plan
• A product team uses a strategy agent to analyze customer feedback patterns across multiple quarters
• An executive team consults their strategy agent to understand market positioning relative to competitors

What This Means for You

If you're already using Herm.Chat, nothing changes in your dashboard. All your existing setups continue to work exactly as they do today.

But you now have access to a much bigger vision:

• Customer-facing agents for support and sales
• Internal agents for team productivity
• Strategy agents for leadership decisions

All from one platform. All with the same easy setup you already know.

Getting Started with AI Agents

Starting today, you can:

1. Deploy a customer-facing agent on your website in under 3 minutes
2. Set up an internal knowledge agent and connect it to Slack
3. Build a strategy agent trained on your company's goals and historical data

All plans — including our free plan — support all three agent types. You're only limited by the number of agents and messages per month based on your plan.

The Future of AI Agents

This rebrand isn't just about language. It's about what's next:

• Multi-agent workflows where customer, internal, and strategy agents work together
• Advanced integrations with your entire tech stack
• Smarter decision-making powered by your company's unique data

We're not just building chat widgets. We're building the complete AI agent platform.

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