Published: 21 March 2022
Summary
The capabilities of enterprise conversational AI platforms are evolving quickly. Application leaders in charge of conversational AI need to evaluate vendors beyond natural language understanding and dialogue management, and this research helps evaluate 21 platforms across 14 critical capabilities.
Included in Full Research
Overview
Key Findings
Equally important to core capabilities in language understanding and dialogue management is the ability to operationalize usage of these capabilities in no-code tooling within business units.
Predefined language models with intents and entities,together with templated dialogue and prebuilt integrations for industry and domain use cases, greatly accelerate development times.
Platforms are still emerging and subject to highly varied evaluation criteria. Different clients will thus have more varied and different shortlists, based on the best fit for their unique criteria.
Recommendations
Application leaders responsible for enterprise conversational AI initiatives:
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- [24]7.ai
- Aisera
- Aivo
- Amazon Web Services
- Amelia
- Avaamo
- boost.ai
- Cognigy
- Google
- IBM
- Kore.ai
- Omilia
- OneReach.ai
- Openstream.ai
- Oracle
- Rasa
- Senseforth
- Sinch
- SmarTek21
- Verint
- Yellow.ai
- Channel Integration
- Natural Language Understanding
- Voice Capabilities
- Dialogue Management
- Back-End Integration
- Agent Escalation
- Continuous Improvement
- Analytics and Testing
- Bot Orchestration
- Life Cycle Management
- Enterprise Administration
- Customer Service
- ITSM
- HR/HCM
- Customer Service
- IT Service Desk
- Human Resources
- Voice Bot in Call Center
- Orchestration of Multiple Employee-Facing Bots
Gartner Recommended Reading
Critical Capabilities Methodology