What Is Aisera and How Much Does It Cost? (2026 Guide)

Aisera is an agentic AI platform, founded in 2017 and bought by Automation Anywhere in November 2025, that automates IT, HR, finance and customer-service requests, and it has no public price list: the only published figures are Azure Marketplace listings of about $200,000 a year for up to 1,000 users and $1,200,000 a year for up to 10,000 users. That puts it in the six-figure enterprise category, sold through a demo and a quote, with no self-serve signup.

We build an AI support product ourselves, so we'll say so up front. The goal here is a working guide to Aisera: what it does, how its agents work, what it realistically costs (every number flagged for where it comes from), and how it compares. Where we can't verify something, we say that too.

What is Aisera?

Aisera is an agentic AI platform for the enterprise that automates service and support across IT service desk, HR, finance, legal, facilities and customer service from a single system. Rather than a point tool for one team, it positions itself as a horizontal "AI service experience" layer that resolves employee and customer requests, deflects tickets, and routes what it can't handle to humans (aisera.com). The platform is built around a Universal Agent that orchestrates narrower domain agents (IT, HR, finance, customer service) and task-level agents beneath them, so one request can move across departments without the user knowing which team owns it.

The company was founded in 2017 by Muddu Sudhakar, who previously built Caspida (acquired by Splunk) and Airvana, along with Christos Tryfonas (Aisera company page). Its product family includes AiseraGPT (generative self-service and resolution), AI Copilot (agent assist for human reps), AI Search (grounded knowledge retrieval) and its own domain-specific LLMs (AiseraLLMs), all on what it calls the AIX (AI Experience) platform. Aisera also markets Ticket AI for autonomous ticket classification, routing and resolution, and an LLM Studio for tuning models on your own knowledge and ITSM data.

Aisera reportedly raised roughly $90M in a Series D co-led by Goldman Sachs Asset Management and Thoma Bravo in 2022 (with Zoom, True Ventures, Menlo Ventures, Norwest, Khosla Ventures and First Round Capital participating), bringing its reported total to around $180M across four rounds. Figures vary by source: Crunchbase's index lists about $164.5M, and other trackers cite $150M to $175M (TechCrunch, Crunchbase).

On November 4, 2025, Automation Anywhere announced it had acquired Aisera, without disclosing a price (Automation Anywhere press room). The stated logic: pair Aisera's conversational agents with Automation Anywhere's Agentic Process Automation, so one system handles both the conversation and the back-office execution. The announcement says Aisera brings more than 100 AI engineers, and that Automation Anywhere's reasoning engine draws on the 400 million automations that run on its own platform. That matters for buyers, and we'll come back to what it implies for pricing and packaging.

How does Aisera's AI work?

Aisera's pitch is that it doesn't just answer questions. It resolves and acts across enterprise systems, and four pieces make that work.

Agent Composer and pre-built agents

You can start from a library of out-of-the-box agents for common IT, HR and CX tasks, or build custom ones in natural language through Agent Composer, Aisera's no/low-code authoring tool. A service owner describes what the agent should do, and Aisera assembles the workflow instead of you scripting decision trees by hand (Aisera platform).

Workflows, orchestration and integrations

Behind the agents sits a library of 1,000+ pre-built workflows for requests like password resets, access requests, onboarding tasks and order lookups. Aisera supports multi-agent orchestration (handing a request between specialized agents via the Universal Agent) and connects into IT, HR, finance and customer-service systems so agents can take real actions, not just surface articles (Aisera platform).

Domain-specific LLMs and LLM Studio

Aisera leans on AiseraLLMs, its own domain-tuned models, alongside AiseraGPT for generative responses and AI Search for retrieval. The argument: a model grounded in your knowledge base and ticket history gets internal terminology right more often than a general-purpose model alone. Aisera is flexible here. Through LLM Studio, customers can use Aisera's models or bring their own (OpenAI, Anthropic and others) and tune them on organizational and ITSM data (Gartner Peer Insights: AiseraGPT). For a regulated enterprise, that model choice plus grounding controls often matters as much as the automation.

Ticket AI and the service desk

For teams anchored in a service-management tool, Ticket AI does the unglamorous work: it classifies, routes and, where confident, resolves incoming tickets. On the IT side it plugs into service-desk primitives (incidents, requests, changes, service catalogs, the knowledge base, the service portal, alerts and the CMDB), which is what lets an agent move from answering ("here's how to reset your VPN") to executing ("I've reset it and opened a change record").

What are Aisera's key features?

• Multi-domain coverage: one platform for IT, HR, finance, legal, facilities and customer service, rather than a CX-only tool.
• AiseraGPT and AI Copilot: generative self-service plus an agent-assist copilot for human reps.
• Agent Composer: natural-language, no/low-code agent creation.
• 1,000+ pre-built workflows and a library of ready-made agents.
• Multi-agent orchestration across domains.
• Domain-specific LLMs (AiseraLLMs) plus AI Search for grounded retrieval.
• Omnichannel self-service across chat, portals and messaging.
• Analytics on deflection, auto-resolution and cost savings.

What does Aisera integrate with, and how is it deployed?

Aisera can act rather than just chat because of its connector layer. It reports 500+ out-of-the-box connectors, with its deepest integration into ServiceNow: a dedicated AiseraGPT for ServiceNow and a Copilot for the ServiceNow Virtual Agent, wired into incidents, requests, service catalog, knowledge and CMDB (Aisera + ServiceNow). Beyond ITSM it connects to other service desks, HR platforms, ITOM and monitoring tools, CRMs, Slack and Microsoft Teams, plus web chat and voice channels.

Deployment is a sales-led enterprise motion: scoping and discovery, connector setup, knowledge ingestion, workflow configuration, then a tuning period before agents are trusted to auto-resolve at scale. There's no self-serve signup or free tier. Capterra now lists the product as a cloud and on-premises platform, and Aisera markets support for data residency and private models, which is exactly why it appeals to regulated and public-sector buyers and exactly why it needs internal owners and time.

How much does Aisera cost?

Aisera does not publish pricing. Its aisera.com/pricing URL returned a 404 as of August 2026 according to eesel's teardown, and every plan is quote-based, varying by scope, domains, integrations and automation depth (eesel AI: Aisera pricing).

The only concrete public figures come from the Azure Marketplace: about $200,000 a year for up to 1,000 users and $1,200,000 a year for up to 10,000 users, both as one-year subscriptions with the first month free (as reported by eesel, which cites the listings). Per user, that's $200 a year at the small tier and $120 at the large one. Treat these as list figures, not a rate card; enterprise contracts are negotiated.

What actually drives the cost?

Even without a rate card, the levers are predictable. Aisera pricing tends to scale with:

• Users in scope: the marketplace tiers are banded by user count, so a 1,000-user and a 10,000-user rollout are very different contracts.
• Domains covered: IT plus HR plus customer service costs more than one domain; breadth is where Aisera's value, and its price, concentrates.
• Interaction and resolution volume: more automated conversations generally mean more cost, as with most usage-priced AI platforms.
• Integration and workflow depth: ServiceNow, CRM and custom-system work adds implementation and licensing weight.
• Deployment and model requirements: data residency, private models and premium support all push the number up.

How could the acquisition change pricing?

Automation Anywhere's announcement claims that "with AI agents doing the work, up to 40% fewer ITSM seats are needed." Read that as a statement of incentive: a vendor telling you to buy fewer seats is planning to charge for the work its agents do instead. Whether that work-based model becomes Aisera's default in 2026 is worth asking directly. The safe budgeting assumption: Aisera is a six-figure, enterprise-scale commitment, not a tool you put on a card.

What are Aisera's strengths and weaknesses?

Strengths

• Broad, multi-domain automation. Few platforms cover IT, HR, finance and customer service under one roof. For an enterprise consolidating service desks, that breadth is the reason to buy.
• Established. Founded in 2017, around $180M raised, and now inside Automation Anywhere, Aisera has scale and a track record.
• Strong reported outcomes. Vendor case studies cite the City and County of Denver's 81% auto-resolution and about 79,000 hours saved, and LifeScan's $2.2M in savings at 65% auto-resolution (Aisera customers). These are Aisera-reported, not independently verified.
• Pre-built agents and workflows shorten time to value versus building from scratch.
• Domain-specific LLMs aim for answers grounded in enterprise terminology.

Limitations

• Opaque and sales-led. No public pricing, no self-serve signup, no way to evaluate without engaging sales.
• Setup and tuning take effort. G2 reviewers note the platform needs guidance to set up, that workflows take time to fine-tune, and that documentation could be more structured (G2 pros and cons).
• Six-figure cost floor. Impractical for SMBs and most mid-market teams.
• Acquisition uncertainty. Open questions about packaging, roadmap priorities and procurement inside Automation Anywhere.
• Enterprise-weight implementation. Connector setup, knowledge ingestion and a tuning period before agents auto-resolve at scale.
• IT and employee-service center of gravity. Aisera's deepest muscles are in ITSM (the ServiceNow integration is the tell). For a pure customer-support team on a CX help desk, much of that breadth is capability you pay for and don't use.

Who is Aisera best for, and who should skip it?

Best for: large enterprises consolidating IT and HR service management alongside customer service, with budget for a six-figure contract and staff to implement and tune it. If you want one agentic platform across employee and customer support and you're comfortable with a sales-led motion (and possible Automation Anywhere bundling), Aisera is a legitimate fit.

Not for: SMBs and mid-market teams, anyone who wants to try before they buy, teams that only need customer-support automation on an existing help desk, or teams without time to fine-tune workflows. For them, Aisera's breadth and cost are overkill.

How does Aisera compare with the alternatives?

Third-party review evidence for Aisera is unusually thin for a platform this expensive. Its Capterra listing, published since the acquisition as Automation Anywhere Aisera Solutions, still showed 4.5 out of 5 from just 2 reviews on September 24, 2026. Two reviews is not a sample, so treat buyer sentiment as unproven rather than good or bad.

The closest comparisons (we have full guides to Moveworks and Kore.ai):

Where we fit, since we'd rather be upfront than pretend we're neutral: Macha is an AI agent layer that runs on top of your existing help desk (Zendesk, Freshdesk, Gorgias, Front, HubSpot or Intercom), not a horizontal IT/HR/CX platform like Aisera. We don't claim to do what Aisera does across every enterprise domain. Macha is built for customer-support automation for teams that already have a help desk and want AI agents without ripping anything out. The practical differences: you start on a free trial with $50 of usage and no card instead of a multi-month sales cycle, setup is done for you (the Macha team analyzes your past tickets, builds the knowledge base and the agent, and runs it in safe mode, with drafts as internal notes, until the drafts are right), and billing is per ticket (one charge per thread, however many replies it takes), about $0.40 a ticket from $299 a month for 750 tickets. That price covers a dedicated success manager who handles your changes after go-live (new categories, instruction edits, new tools). If your need is enterprise service management across IT and HR, Aisera or Moveworks is the right category. If it's AI customer support on the help desk you already run, that's where Macha fits. See AI agents for customer service for how that model works, and custom tools for how agents take real actions.

How did we research this?

This guide draws on Aisera's own site and product pages, the Azure Marketplace price points as reported by eesel, and Automation Anywhere's November 4, 2025 acquisition announcement. On September 24, 2026 we re-read the acquisition announcement, the eesel pricing teardown and the Capterra listing, and confirmed on moveworks.com that ServiceNow has closed its Moveworks acquisition. Aisera's own site blocked our scripted requests that day, and G2 did the same, so nothing here comes from hands-on use or a fresh read of Aisera's pages. We dropped an earlier third-party revenue and headcount estimate we couldn't source.

Frequently asked questions

What is Aisera? Aisera is an agentic AI platform that automates service and support across IT, HR, finance, legal, facilities and customer service. Founded in 2017, its products include AiseraGPT, AI Copilot, AI Search and domain-specific LLMs on the AIX platform. Automation Anywhere announced its acquisition of Aisera on November 4, 2025.

How much does Aisera cost? Aisera doesn't publish pricing; it's custom and sales-led. The only public figures are Azure Marketplace listings of about $200,000 a year for up to 1,000 users and $1,200,000 a year for up to 10,000 users. Actual contracts are negotiated, and post-acquisition packaging may change.

Who uses Aisera? Large enterprises and public-sector organizations. Publicly referenced customers include NJ Transit, BDO Canada, the City and County of Denver and LifeScan, mainly for IT, HR and customer-service automation.

Is Aisera good for small businesses? Generally no. With a six-figure cost floor, no public pricing, no self-serve trial and an implementation that needs internal owners, Aisera is built for large enterprises. Smaller teams are usually better served by self-serve tools that layer onto an existing help desk.

What are the main alternatives to Aisera? Moveworks (now owned by ServiceNow) and Kore.ai are the closest multi-domain peers. For customer-support automation, Intercom Fin charges $0.99 per outcome, and Macha is an AI agent layer on an existing help desk that the Macha team sets up and runs for you, at about $0.40 a ticket from $299 a month, including a dedicated success manager.

Was Aisera acquired? Yes. Automation Anywhere announced the acquisition on November 4, 2025, pairing Aisera's conversational agents with its process automation. No price was disclosed. Confirm current packaging and roadmap directly, since bundling and procurement may shift.

Does Aisera integrate with ServiceNow? Yes, and it's one of Aisera's deepest integrations. It ships AiseraGPT for ServiceNow and a Copilot for the ServiceNow Virtual Agent, wired into incidents, requests, the service catalog, knowledge base and CMDB. Aisera reports 500+ connectors overall.

What LLM does Aisera use? Aisera offers its own domain-specific models (AiseraLLMs and AiseraGPT), grounded in your knowledge base and ticket data. Through LLM Studio, customers can also bring their own models, such as OpenAI or Anthropic, and tune them on organizational data.

Is Aisera the same as Automation Anywhere's AI Assistant? Post-acquisition, Aisera's technology increasingly appears inside Automation Anywhere's portfolio, branded around agentic automation. If you're evaluating in 2026, ask specifically how Aisera is packaged, licensed and roadmapped within Automation Anywhere.

Should Aisera be on your shortlist?

Yes, if you're a large enterprise consolidating IT, HR and customer-service automation under one system, can budget roughly $200,000 a year or more, and can staff an implementation with a tuning period. No, if you can't get past a sales gate, can't justify enterprise pricing, or only need AI for customer support on a help desk you already run. In that case a per-ticket agent layer that someone else sets up for you, such as Macha, gets you most of the value for a fraction of the cost and setup time.

Last checked September 24, 2026 against Automation Anywhere's acquisition announcement, eesel's pricing teardown, Capterra and moveworks.com. Pricing is custom and unpublished; all figures are marketplace or third-party and may be outdated, so confirm with Aisera and Automation Anywhere.