G2

Jennifer E.

Sr. Product Manager, AI, LLM, & Machine Learning

Mid-Market (51-1000 emp.)

5/28/2026

"Bland is a One-Stop-Shop for Voice AI and an Industry Leader in this space."

5/5

What do you like best about Bland?

The product is intuitive to use once you understand the mental model for how they have built it. In addition, the engineering team has been responsive with support help and bug fixes as well as feature requests. I should note that we have an Enterprise agreement with Bland. They integrate with Slack, Calendly and other tools, natively. And the custom code nodes are unique to Bland, allowing you to build high performance data transformations as run time. Review collected by and hosted on G2.com.

What do you dislike about Bland?

Getting started is hard, but Bland has built Norm, an AI Agent, which allows you to "vibe code" your first pathway. This is super helpful for new builders. But you'll quickly outgrow Norm in its current version. I know they'll keep adding to it, but you'll likely end up using Claude Code to help you build pathways. Bland has made available an MCP server and some Claude Skills, which are dated a bit, but with a bit of work and access to Bland's llm.txt file which is made for agents like Claude Code (https://docs.bland.ai/llms.txt) you'll be up and running fairly quickly. One thing. If you bring your own Twilio numbers you will save money on telephony charges, but Bland number natively support more capabilities. I'll leave it at that. You can pay a bit more to use Bland's phone numbers and you'll make your life easier. But if you do a lot of dials, its worth it to BYOT. Review collected by and hosted on G2.com.

What problems is Bland solving and how is that benefiting you?

We do outbound lead generation calls. This means we first have to get a lead's permission to call them, which we do on our website. Once we have that information we generate a call to them to connect and qualify the lead. If successful, we might transfer the call, book a meeting, etc. So this requires a lot of orchestration, and is a complicated use case. We have several pathways to achieve the results we need. We do not do the tradition inbound calling for appointment rebooking, or technical support. We do a lot of experimentation and have integrated with Optimizely for A/B testing to more rapidly experiment. I know that Bland is looking to enable A/B experimentation but it did not exist a year ago when we started with them and it is still weak right now. In addition their QA capabilities need a bit of work. But they are actively developing this now. Review collected by and hosted on G2.com.