Project Management by Team · Researched comparison

Best Pricing for Enterprise AI Agent Platforms

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Key takeaways

  • Only one of the seven platforms in this guide publishes a usable starting price, so most enterprise AI agent pricing is a negotiation, not a number on a page.
  • Kore.ai is the exception, with a self-serve Standard plan at 20 cents per conversation and 500 dollars in free credits to start.
  • Third-party procurement data puts typical enterprise contracts at 100,000 to 300,000 dollars a year or more, with implementation adding 50,000 to 200,000 dollars on top.
  • Pricing models differ more than the headline numbers suggest: per seat, per conversation, per outcome, per minute, and per headcount all appear in this guide.
  • The cheapest quote is rarely the cheapest deal, because connectors, AI add-ons, support tiers, and renewal escalators move the total by tens of thousands of dollars.

Comparison

How these compare
ToolBest forPrice rangeFree plan
MoveworksEmployee support agents inside Slack and Teamsquote onlyNo
CognigyContact center automation at high volumequote onlyNo
Kore.aiBuilding agents across customer, employee, and IT use cases$0.20 per conversationYes
GleanEnterprise search and agents over company contentquote onlyNo
SierraBespoke conversational agents for large consumer brandsquote onlyNo
ParloaVoice-first agent management for regulated enterprisesquote onlyNo
AiseraConsolidating IT, HR, and customer service automationquote onlyNo

How we choose

We compared vendor pricing pages, product documentation, and public reviews, and we checked each vendor own site on 11 November 2026. Where a vendor publishes no price, this guide says quote only rather than repeating a third-party estimate as a fact, and where we cite a third-party benchmark we label it as one. We looked at the pricing model, the billing unit, the seat floor, the free tier, the proof-of-concept cost, and the implementation fee. We reviewed each platform for enterprise deployment, including compliance, connectors, and multi-channel support. We did not run trials and we make no hands-on testing claims.

Our full method

The shortlist

★ Best overall

The best pricing for enterprise AI agent platforms

2

Moveworks

Best for employee support agents inside Slack and Teams

Website: https://www.moveworks.com

Best for: employee support agents inside Slack and Teams

Starting price: quote only

Free plan: No

Pros: answers IT, HR, and finance requests inside the tools employees already use; connects to more than 100 enterprise applications

Cons: no published price and no self-serve tier; pricing by total headcount punishes companies with many occasional users

Moveworks is an enterprise AI agent for internal employee support, answering IT, HR, finance, and facilities requests inside Slack and Microsoft Teams. It connects to more than 100 enterprise applications across ITSM, HRIS, identity, and collaboration tools such as ServiceNow, Workday, Okta, Slack, and Microsoft Teams. ServiceNow completed its acquisition of Moveworks on 15 December 2025 for a reported 2.85 billion dollars, and the completion announcement put its reach at 5.5 million employee users.

Moveworks publishes no pricing and quotes on total employee headcount rather than active users, which matters for budgeting because every employee counts whether they use the agent or not. Third-party procurement data on 31 purchases puts the median contract at about 130,000 dollars a year, inside a sample range of 89,500 to 271,333 dollars. There is no free tier and no public trial, so evaluation runs through a sales-led proof of concept. Teams already running ServiceNow should ask how the acquisition changes packaging and support before signing a multi-year deal.

3

Cognigy

Best for contact center automation at high volume

Website: https://www.cognigy.com

Best for: contact center automation at high volume

Starting price: quote only

Free plan: No

Pros: purpose-built for large contact centers with voice and chat; now part of the NICE CXone portfolio

Cons: no public pricing at any tier; voice, chat, and LLM workloads are charged separately

Cognigy is an enterprise conversational AI platform built for large-scale contact center automation across voice and chat, and it now operates as NiCE Cognigy after NICE completed its acquisition for 955 million dollars in September 2025. The platform sits inside the NICE CXone contact center portfolio, which suits contact center teams that already run NICE and want the agent layer to match. It handles high-volume customer service operations with agent copilot and knowledge AI as add-on modules.

Cognigy publishes no pricing anywhere, with no free tier, no self-serve plan, and no transparent calculator, so the first number a buyer sees comes from a sales conversation. Independent market analysis places typical enterprise packages between 115,000 and 300,000 dollars a year depending on volume, integrations, and voice support, with additional fees layered on for gateways and AI operations tooling separately. There is no self-serve tier and no free trial, so budget for a sales-led evaluation and ask for the voice and LLM lines to be priced separately in the quote.

4

Kore.ai

Best for building agents across customer, employee, and IT use cases

Website: https://kore.ai

Best for: building agents across customer, employee, and IT use cases

Starting price: $0.20 per conversation (Standard self-serve plan)

Free plan: Yes

Pros: the only platform here with a published self-serve price; 500 dollars in free credits to start

Cons: full platform deployments are quote only and can exceed 300,000 dollars a year

Kore.ai is a horizontal enterprise platform for building and orchestrating AI agents across customer experience, employee experience, IT support, sales, finance, and recruiting, from a single governed platform. In May 2026 the company launched the Artemis edition of its Agent Platform with its Agent Blueprint Language, a move that earned the highest current offering score in the Forrester Wave for the second quarter of 2026. The platform covers voice and chat, knowledge-grounded answers, and agent orchestration across departments.

Kore.ai is the only platform in this guide with a published starting price. Its developer documentation lists a self-serve Standard plan at 20 cents per conversation, with 500 dollars in free credits to start and no card required. Enterprise tiers are custom-quoted and billed per session or per seat depending on the product line, and independent estimates place typical enterprise contracts around 300,000 dollars a year. That split makes Kore.ai the easiest platform to evaluate cheaply and the hardest to budget for at scale, so use the self-serve tier to test, then get the enterprise quote in writing.

5

Glean

Best for enterprise search and agents over company content

Website: https://www.glean.com

Best for: enterprise search and agents over company content

Starting price: quote only

Free plan: No

Pros: permission-aware index across more than 275 workplace tools; answers only from content each employee may see

Cons: no published price and no free tier; proof-of-concept engagements can be a separate priced line

Glean is an enterprise search and AI agent platform that builds one permission-aware index across more than 275 connected tools, from Slack and Google Drive to Confluence and Salesforce, and answers only from what each employee is allowed to see. Search, an assistant, and agents run on top of that index, and the platform holds SOC 2 Type II, ISO 27001, ISO 42001, HIPAA, TX-RAMP Level 2, and GDPR compliance. That permission model is the main buying reason for enterprises with sensitive internal content.

Glean does not publish pricing, and its pricing page leads to a demo request rather than a rate card. Third-party benchmarks put reported deployments at roughly 25 to 48 dollars per user per month depending on seat count, with a widely reported 100-seat floor for enterprise contracts. A work AI add-on of roughly 15 dollars per user per month sits on top of the base in some reports, and proof-of-concept engagements are sometimes a separate line that can reach 70,000 dollars. None of those figures comes from the vendor, so treat them as benchmarks and get your own quote.

6

Sierra

Best for bespoke conversational agents for large consumer brands

Website: https://www.sierra.ai

Best for: bespoke conversational agents for large consumer brands

Starting price: quote only

Free plan: No

Pros: outcome-based pricing means unresolved conversations are usually not charged; strong grounding in company policies

Cons: no published rates and no self-serve path; contracts start around 150,000 dollars a year in third-party estimates

Sierra builds custom conversational AI agents that handle complex, multi-step tasks such as returns and subscription changes across voice, chat, email, and SMS. Its Knowledge Engine grounds responses in company FAQs, policies, and documentation to reduce hallucinations, and the platform supports 59 languages with SOC 2, ISO 27001, ISO 42001, and PCI DSS credentials plus HIPAA and GDPR compliance. Sierra was co-founded in 2023 by Bret Taylor and Clay Bavor, and in May 2026 it raised a 950 million dollar Series E at a 15.8 billion dollar valuation.

Sierra does not publish a rate card and sells through direct enterprise sales with quote-based contracts. Its model is outcome-based: it charges when an agent completes a task, such as a resolved support conversation, a saved cancellation, or an upsell, and when a conversation is unresolved or escalated, in most cases there is no charge. Third-party estimates put the smallest engagements near 150,000 dollars a year, with large multi-channel rollouts reaching 750,000 to 1.5 million dollars or more, plus 50,000 to 200,000 dollars in implementation. The per-outcome rate is agreed per contract and is not disclosed publicly.

7

Parloa

Best for voice-first agent management for regulated enterprises

Website: https://www.parloa.com

Best for: voice-first agent management for regulated enterprises

Starting price: quote only

Free plan: No

Pros: agent management platform for fleets of agents at enterprise scale; strong SAP, Microsoft, and OpenAI partnerships

Cons: no public pricing and no free trial; sales-led from the first conversation

Parloa is an enterprise AI Agent Management Platform for building, deploying, and orchestrating autonomous voice and chat agents across customer service, with a voice-first focus. It targets large enterprises managing agents at scale rather than small teams, and it is partnered with SAP, Microsoft, and OpenAI. In January 2026 Parloa raised a 350 million dollar Series D led by General Catalyst at a 3 billion dollar valuation, which makes it one of the most aggressively funded players in the agentic customer experience market.

Parloa pricing page describes consumption-based pricing, per minute for voice and per interaction for chat, with custom plans and no dollar amounts shown. The page states that buyers will not be forced into standard plans, and that outcome-based pricing is supported when it makes sense. One guide describes it as quote only at about 300,000 dollars or more a year as a third-party estimate. There is no public self-serve tier and no free trial, so every evaluation starts with a sales scoping call, and buyers should model their minutes and average handling time before the first meeting.

8

Aisera

Best for consolidating IT, HR, and customer service automation

Website: https://www.aisera.com

Best for: consolidating IT, HR, and customer service automation

Starting price: quote only

Free plan: No

Pros: one platform across IT, HR, finance, and customer service; more than 500 connectors and 1,000 pre-built workflows

Cons: no public price list; pricing page returned a 404 as of August 2026

Aisera is an enterprise agentic AI platform that automates IT, HR, finance, and customer service requests from a single system, and Automation Anywhere announced its acquisition of Aisera on 4 November 2025. The platform embeds AI agents directly into Salesforce, ServiceNow, Zendesk, and Jira to automate workflows and assist human agents with context-aware responses and summaries. It reports more than 500 connectors and 1,000 pre-built workflows, with its deepest integration into ServiceNow incidents, requests, service catalog, and configuration data.

Aisera publishes no pricing, and its pricing page returned a 404 as of August 2026 according to an independent teardown, so every plan is quote-based and varies by scope, domains, integrations, and automation depth. The only concrete public figures come from Azure Marketplace listings of about 200,000 dollars a year for up to 1,000 users and 1,200,000 dollars a year for up to 10,000 users, both as one-year subscriptions with the first month free. Treat those as list figures, not a rate card, and ask how the Automation Anywhere acquisition changes packaging before you sign.

9

What each budget band buys

What to check before you buy

Ask for the billing unit in writing, because per seat, per conversation, per outcome, per minute, and per headcount produce very different totals at the same volume. Confirm the seat floor, the platform fee, and whether connectors and AI add-ons are included or priced separately. Ask whether the proof of concept is a separate line, what implementation costs, and what the renewal escalator is. Model two or three years of cost, not just year one, and ask what happens to pricing if the vendor is acquired, because two platforms in this guide changed owners in 2025.

FAQ

Why do so few enterprise AI agent platforms publish pricing?

Enterprise agent deals vary by volume, channels, modules, and services, so vendors price each contract by quote. A contact center buying voice automation pays a different amount from an IT team buying employee support, even on the same platform. That opacity protects vendor margins, but it means buyers must run a competitive process with at least two vendors and ask for module-level pricing in writing.

What is the cheapest way to test an enterprise AI agent platform?

Start with Kore.ai, the only platform in this guide with a published self-serve price. Its Standard plan costs 20 cents per conversation and includes 500 dollars in free credits with no card required, so a small pilot costs little. Use that pilot to learn your real conversation volume, then take those numbers into enterprise quotes so vendors price your actual usage rather than a guess.

What does outcome-based pricing mean?

Outcome-based pricing charges when an agent completes a defined task, such as resolving a support conversation, saving a cancellation, or completing an upsell, and usually charges nothing when the conversation is unresolved or escalated. Sierra is the clearest example in this guide. The definition of a qualifying outcome and the per-outcome rate are agreed per contract, so read that definition carefully before signing.

How much should we budget beyond the license fee?

Budget for implementation, connectors, and services on top of the license. Third-party data puts implementation at 50,000 to 200,000 dollars for the larger platforms, and proof-of-concept engagements can add tens of thousands more. Support tiers and renewal escalators add further cost, so ask for a three-year total cost in the quote rather than a first-year figure.

Does a free tier mean the platform is cheap at scale?

No. A free tier or free credits help you test, but enterprise pricing follows a different model with seat floors, platform fees, and module charges. Glean, for example, has no free tier and a widely reported 100-seat floor, while Kore.ai self-serve price does not predict its enterprise quote. Always get the enterprise quote in writing before you plan a budget around a self-serve rate.

Which pricing model fits a contact center best?

A contact center with steady volume usually fits per-conversation or per-minute pricing, because the bill follows the work the agents actually do. Outcome-based pricing fits teams that want to pay only for resolved conversations. Per-seat pricing fits internal employee support where the user count is stable. Model your last twelve months of volume under each model before you choose.

Sources we checked

  • Moveworks: https://www.moveworks.com
  • Cognigy: https://www.cognigy.com
  • Kore.ai pricing: https://kore.ai/pricing
  • Glean pricing: https://www.glean.com/pricing
  • Sierra pricing: https://www.sierra.ai/pricing
  • Parloa pricing: https://www.parloa.com/pricing
  • Aisera: https://www.aisera.com
How we score

Need the method behind these picks?

We publish the criteria and the weights, so you can disagree with them.

The best pricing for enterprise AI agent platforms#1 PICK