Kore.ai 
Kore.ai is an enterprise platform for AI agents, search, contact centers, and employee or service automation. Organizations should govern knowledge and tools, validate responses and routing, configure permissions and escalation, monitor sessions, and audit high-impact actions.
Starting price Free + usage-based and custom pricing
Tool Information
Kore.ai is an enterprise platform for AI agents, search, contact centers, and employee or service automation. Organizations should govern knowledge and tools, validate responses and routing, configure permissions and escalation, monitor sessions, and audit high-impact actions.
Begin with a small, reversible test using only authorized information or media. Configure privacy, access, quality, export, and spending controls; compare output with original sources and representative benchmarks; correct errors; and retain human approval before publishing, contacting people, modifying production systems, or making consequential decisions.
Essential access is available for getting started. Paid products use session, seat, usage, add-on, or Custom enterprise pricing depending on Automation AI, Search AI, Contact Center AI, and Agent AI.
AI output and automation can be inaccurate, biased, incomplete, unsafe, stale, or misleading, while connected services may process confidential, copyrighted, personal, or regulated data. Check consent, retention, model-training, licenses, anti-spam and platform rules, renewal terms, accessibility, and security, and use qualified review for high-impact work.
F.A.Q (3)
Pros and Cons
Pros
- Kore.ai provides an enterprise platform for building and operating AI agents
- AI for Service spans self-service; human-agent assistance; contact centers; search; and quality management
- Automation AI combines natural-language understanding with dialog management and workflows
- Search AI connects more than fifty sources for contextual retrieval-augmented answers
- Contact Center AI includes routing; queues; agent desktops; campaigns; and live analytics
- Agent AI offers real-time suggestions; summaries; knowledge assistance; and guided playbooks
- Quality AI can evaluate voice and chat interactions at much broader coverage than manual sampling
- The platform supports voice; web; mobile; messaging; and social channels
- Deterministic workflows can be combined with agentic behavior for compliance-critical tasks
- Enterprise integrations include Salesforce; Zendesk; ServiceNow; SAP; and custom APIs
- Prebuilt industry applications target banking; healthcare; and retail workflows
- Human handoffs can preserve conversation context across channels
- Guardrails; audit logs; access controls; encryption; and PII masking support governance
- Trials are offered separately for Automation AI and Contact Center AI
- Model and cloud flexibility can reduce dependence on one infrastructure provider
- Conversation mining and sentiment analysis can surface recurring service problems
Cons
- Kore.ai is a broad enterprise suite with substantial architecture and administration complexity
- Public documentation does not provide a simple all-in per-user price for the complete platform
- Agent AI and Search AI require contacting sales rather than starting a direct trial
- Automation AI's full retrieval functionality requires an Advanced RAG add-on
- Trial limits on sessions; pages; queries; minutes; and seats restrict production-like testing
- Apps stop responding to end users after a trial expires
- Connecting dozens of enterprise sources creates challenging permission synchronization
- Generated search answers can expose content when source-level access rules are mapped incorrectly
- Quality scoring across every interaction can intensify worker-surveillance concerns
- Sentiment inference is unreliable across accents; cultures; disabilities; and emotionally neutral speech
- Agentic actions need approval controls before changing accounts or executing transactions
- Voice deployments must handle latency; interruption; transcription; and telephony failures
- Prebuilt industry agents still require organization-specific policy and compliance validation
- Older on-premises product versions have reached end of life and require migration planning
- End-to-end troubleshooting can span agents; models; channels; integrations; and contact-center infrastructure
- Large deployments need ongoing prompt testing; knowledge governance; observability; and specialist staff
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Overview
Before you subscribe
- Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
- App-store pricing can differ from website pricing by country, device and tax.
- Share only authorised data, and read the provider's encryption, retention and model-training terms first.
- AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
- Commercial usage rights vary by plan, provider terms and jurisdiction.
- None of these tools replaces a qualified professional for medical, legal or financial decisions.
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