Comparing AiseraGPT and boost.ai? Both are AI Agents & Chatbots and Enterprise tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | AiseraGPT | boost.ai |
|---|---|---|
| Pricing | Paid · Custom | Paid · Custom |
| Founded | 2017 | 2016 |
| Categories | AI Agents & Chatbots Enterprise | AI Agents & Chatbots Enterprise Voice & Phone AI |
| Integrations | ServiceNow Salesforce Zendesk Microsoft Teams Slack Jira | Genesys Zendesk Salesforce Five9 Amazon Connect Microsoft Teams |
Aisera builds agentic AI for the enterprise service desk, covering customer support alongside IT and HR helpdesks in one platform. Its agents understand what a user wants, pull answers from knowledge scattered across your systems, and then actually do the work: opening tickets, resetting access, checking order status, and closing the loop without a human in the middle. An Agent Composer lets teams assemble new agents without code, and the company claims more than 400 out-of-the-box integrations into ticketing, CRM, and ITSM systems, which is the practical difference between a bot that talks and a bot that acts.
The company was founded in 2017 by Muddu Sudhakar, a serial entrepreneur on his fourth startup, and grew up serving demanding enterprise customers like Zoom, Workday, McAfee, and Cisco. Goldman Sachs and Thoma Bravo led its $90 million Series D in 2022, and in November 2025 the story reached its logical conclusion: Automation Anywhere, one of the biggest names in enterprise automation, acquired Aisera to anchor its push toward what it calls the autonomous enterprise. The product continues under the Aisera brand.
Pricing is quote-based and firmly enterprise. There is no public price list, and deployments are scoped by modules, departments, and conversation volume, so this is a considered purchase with a sales cycle, not a self-serve signup.
Aisera makes the most sense for organizations that want one AI layer across customer support and internal service management rather than separate tools for each, and that already run the systems it plugs into, like ServiceNow, Salesforce, or Zendesk. If that describes your stack, and the Automation Anywhere backing reads as stability rather than distraction, Aisera belongs on the enterprise shortlist.
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boost.ai comes from Sandnes, Norway, where founder Lars Ropeid Selsås started in 2016 by automating customer interactions for a local bank. That origin explains everything about the product: it is conversational AI built for institutions that cannot afford a creative answer, and Nordic banks and insurers were the proving ground. Customers today include Nordea, Santander, DNB, Telenor, Vodafone, and Metro Bank, and the platform claims more than 600 live AI agents handling over 150 million automated conversations a year.
Technically, boost.ai's signature move is the hybrid: deterministic natural-language understanding that behaves predictably at thousands of intents, combined with generative AI where flexibility helps, all wrapped in governance controls. That lets a compliance officer sign off on what the agent is allowed to say while the agent still handles the long tail of phrasing real customers use. It covers chat and voice, integrates with contact-center platforms like Genesys, Five9, and Amazon Connect, and even supports Nordic authentication systems like BankID, a detail that says a lot about who it serves.
The company took a majority investment from private equity firm Nordic Capital in 2021 and sells the way you would expect an enterprise Scandinavian vendor to sell: quote-based pricing, no public price list, proper procurement. An unusual cultural artifact is its certification program, with thousands of certified AI trainers among its customers' staff, reflecting a philosophy that the client team, not the vendor, should run the agent day to day.
Pick boost.ai if you are a bank, insurer, telco, or public-sector organization that needs high-accuracy automation with auditable behavior. It is not the tool for a startup wanting a widget by Friday; it is the tool for the organization whose regulator reads the transcripts.
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