AI agents for software and SaaS

AI chatbots and agents can expedite SaaS operations like code reviews, customer support, and personalized onboarding.

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75%
of companies are confident in their AI agent strategy
79%
of surveyed companies already adopted AI agents

AI agents and chatbots for software companies have endless use cases. We would know – we use them every day. Our AI agents support our customers, navigate our docs, help us prepare for demos . . . we should probably give them a raise.

How AI agents can benefit

SaaS

Feature generation

AI agents can analyze customer feedback and prioritize feature requests — all based on real data.

Code testing and debugging

Rubber duck, but automated. AI agents are ideal for testing and debugging processes throughout .

Customer support

AI chatbots excel at providing customer support — yep, even for complex, technical products.

Personalized onboarding

AI agents can personalize onboarding experiences by dynamically adapting workflows based on user preference.

Data integration

AI can orchestrate data from multiple sources in real time, allowing SaaS platforms to deliver personalized insights and analytics.

Documentation assistance

AI agents can generate documentation, or chatbots can help your users find what they're looking for.

We love pitching to software companies. We know the pain points, since they’re ours, too. 

We know what it’s like to try to automate customer support on a complex tech product. 

We know what it’s like to coordinate teams of developers and engineers with product design and user experience. 

And a big way we reduce these hiccups? By using AI agents. That’s right; we drink our own champagne, using AI agents and chatbots to help navigate our documentation, go over pull requests, categorize feature requests, provide customer support, analyze user data . . . the list goes on. 

What kinds of AI agents do we use on a daily basis at our SaaS company? Here are 3:

  • Production Tester Bot: It monitors website stability – including down-to-the-minute latency issues.
  • Gordon the Solution Engineer: He researches a prospect, strategizes the demo, and helps scaffold a solution to show them.
  • Release Notes Bot: It reads over all pull requests from the week, generates a summary of the changes, and distributes them across key channels.

But how should other software companies use AI agents? As our CEO Sylvain Perron explains, “The right use of AI in a business setting is to automate processes where you already know the rules, data, and logic under which you’re operating.” 

In the case of SaaS companies, this is often onboarding users to your software product, providing technical support, debugging code, or automating any number of backend data tasks.

Take one of our clients: Extendly is a SaaS business that offers 24/7 customer support. They knew how to support their customers, but they wanted to automate as their user base grew.

Their old chatbot wasn’t cutting it – they needed an AI agent that could tackle tough technical questions. With an AI agent built on Botpress, the team made use of our advanced RAG pipeline to accurately pull complex troubleshooting steps from their extensive manuals. 

The Extendly team was also able to add custom elements like AI ticket creation, escalation flows, and chat history – so their AI service could escalate properly when needed and remember users’ past chats. 

The result? Their AI customer support went from diverting 5% of issues away from employee support to diverting 30% of customer issues. 

If you’re interested in which processes to automate with AI agents, give us a call. We’d be happy to help.

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