Comparing Kore.ai and Salesforce Agentforce? 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 | Kore.ai | Salesforce Agentforce |
|---|---|---|
| Pricing | Paid · Custom | Per resolution · $2/conversation |
| Founded | 2014 | 1999 |
| Categories | AI Agents & Chatbots Enterprise Voice & Phone AI | AI Agents & Chatbots Enterprise |
| Integrations | Genesys Amazon Connect Salesforce ServiceNow Twilio Zendesk | Slack Salesforce CRM Data Cloud MuleSoft Tableau WhatsApp |
Kore.ai is an enterprise platform for building and orchestrating AI agents, with customer experience as one of its flagship uses. Teams design agents using no-code visual tools or pro-code SDKs, deploy them across web chat, messaging, voice, and contact-center channels, and manage them with the security and analytics a large organization demands. Its agentic contact-center suite spans intelligent self-service, AI-powered routing, and real-time agent assist, and a growing set of prebuilt vertical apps for banking, healthcare, retail, HR, and IT gives buyers a running start instead of a blank canvas.
The scale here is the headline. Kore.ai says its platform automates more than a billion interactions a year and has delivered over a billion dollars in cumulative customer cost savings, and it has been named a leader in independent analyst evaluations of conversational AI and cognitive search. Its newer generative application platform, GALE, and an AI-first agent platform push the product deeper into the agentic era.
There is a nice against-the-grain story to the company, too. Kore.ai was founded in 2014 by serial entrepreneur Raj Koneru, whose resume includes four earlier companies, and it grew up not in Silicon Valley but in Orlando, Florida, only later opening a West Coast office. It has raised well over four hundred million dollars across its rounds, including a 2026 growth investment, and became a launch partner for Microsoft's agent ecosystem while earning agentic credentials with AWS.
Big names like AT&T, Coca-Cola, and Airbus are among the hundreds of Global 2000 enterprises it serves, and pricing is entirely custom, scaled to the sessions, seats, and add-ons a given deployment needs. For large organizations that want a single, proven platform to build and run both customer-facing and employee-facing agents across every channel, without stitching together half a dozen point tools, Kore.ai is a serious heavyweight worth putting on the shortlist and taking for a proper test drive.
Read the full Kore.ai listing → · See Kore.ai alternatives →
Agentforce is Salesforce's platform for autonomous AI agents, with customer service as its flagship act. Because it is grounded in your CRM through Data Cloud, an Agentforce service agent can resolve cases using live customer records, knowledge articles, and Flow automations, all inside the guardrails your admins define, then escalate to a human in Service Cloud when needed. Its Atlas reasoning engine works out intent, gathers the right data, and executes actions, and a low-code Agent Builder lets teams assemble agents from topics and actions without deep engineering. In late 2025 Salesforce added Agentforce Voice, giving those agents a natural phone presence.
Salesforce is not shy about eating its own cooking. The company runs Agentforce on itself as what it calls customer zero, and CEO Marc Benioff has said AI now handles roughly half of Salesforce's own support, letting it shrink support headcount substantially. At the 2024 Dreamforce launch, attendees reportedly built around ten thousand agents in just three days, which tells you something about how quickly the low-code builder puts people to work.
The results customers report are eye-catching: 1-800Accountant says it resolves the majority of its chat conversations autonomously, OpenTable reports similar deflection, and Reddit cut its resolution time dramatically after switching on service agents. Pricing is flexible, spanning a per-conversation rate and a consumption-based credit model, plus per-user editions for teams that want a predictable add-on.
For the vast population of companies already running sales and service on Salesforce, Agentforce is the natural next step, because the agent lives right next to the data and processes it needs and requires no separate integration project to get going. If your business is already built end to end on the Salesforce platform, this is the AI agent that fits your world with the least possible friction and the most context.
Read the full Salesforce Agentforce listing → · See Salesforce Agentforce alternatives →
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