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OpenDialog

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What OpenDialog is

OpenDialog provides AI-powered agents for insurers handling customer journeys such as quotations, policy questions and changes, re-engagement, and claims. Its agents combine four engines: Situation recognizes a customer's place in a journey, Conversation manages goal-focused exchanges that adapt in real time, Personalisation tailors responses to context, and Insight captures interaction data for ongoing improvement. Selma helps with insurance sales, from gathering quote details to policy purchase. Jamie answers policy-specific questions across web, chat, email, and voice, with escalation to human teams for complex queries. Agents can be configured for a particular journey and trained on approved knowledge sources. Integration options include Actions and a WebChat API for a custom application interface, with documented choices such as Freshdesk, email, Chatwoot hand-off, and webhooks. OpenDialog also describes its agents as designed for regulated industries; its SAFER benchmark evaluates security, compliance, knowledge retrieval, query detection, and recognition of knowledge limits. The cloud service is available through web and API. Pricing is paid and available on request.

Who it suits

OpenDialog is aimed at insurers automating customer journeys in regulated settings. It may suit teams needing policy and sales conversations, analytics, integrations, and human hand-off.

What it does well

  • Four engines cover context, dialogue, personalisation, and insight.
  • Selma supports quote-to-purchase insurance sales journeys.
  • Jamie can escalate complex questions to human teams.
  • WebChat API supports a custom application interface.
  • Secret Context encrypts sensitive values at rest.

What to know first

  • Pricing is available only on request.
  • Listed chat channel is web chat.
  • Agents require journey configuration and approved knowledge sources.

Verdict

OpenDialog combines insurance-specific conversation agents with journey configuration, integration options, and human escalation. Buyers should request pricing and consider whether its listed channels and deployment model fit their needs.

Facts from OpenDialog's own pages

Agent orchestration
OpenDialog describes four engines for its agents: Situation, Conversation, Personalisation, and Insight. · opendialog.ai, 9 Oct 2026
Analytics
The Insight engine captures interaction data to improve performance and outcomes over time. · opendialog.ai, 8 Oct 2026
Available integrations
The documentation lists Freshdesk, email, Chatwoot hand-off, and webhook actions among its integration options. · docs.opendialog.ai, 8 Oct 2026
Certifications
The site displays Cyber Essentials and ISO 27001 accreditation marks. · opendialog.ai, 9 Oct 2026
Company
The company identifies itself as OpenDialog AI Ltd. · opendialog.ai, 9 Oct 2026
Context awareness
The Situation engine understands where customers are in their journey and what matters at that moment. · opendialog.ai, 8 Oct 2026
Core engines
OpenDialog Agents use four engines: Situation, Conversation, Personalisation, and Insight. · opendialog.ai, 8 Oct 2026
Custom agents
OpenDialog invites customers to describe a different kind of agent for the company to build. · opendialog.ai, 9 Oct 2026
Deployment
Its deployment process includes configuring agents for a specific journey and training them on approved knowledge sources. · opendialog.ai, 9 Oct 2026
Dialogue management
The Conversation engine orchestrates natural, goal-oriented exchanges that adapt in real time. · opendialog.ai, 8 Oct 2026
Governance
OpenDialog says its platform supports governance, explainability, and regulatory scrutiny, with interactions that can be traced and improved. · opendialog.ai, 9 Oct 2026
Integration methods
OpenDialog supports integrations through Actions and a WebChat API for building a custom interface into an application. · docs.opendialog.ai, 8 Oct 2026
Intended users
OpenDialog describes its agents as purpose-built to automate insurance journeys and operate safely in regulated industries. · opendialog.ai, 8 Oct 2026
Personalisation
The platform describes contextual responses tailored to each customer and interaction data used to improve performance over time. · opendialog.ai, 9 Oct 2026
Policy queries
Jamie answers policy-specific questions across web, chat, email, and voice, and can escalate complex queries to human teams. · opendialog.ai, 9 Oct 2026
Pricing
The documentation points to a pricing page, but the linked page could not be opened, so no plan price or limits could be verified. · docs.opendialog.ai, 9 Oct 2026
Purpose
OpenDialog provides AI agents that automate insurance journeys and support regulated, high-volume insurance workflows. · opendialog.ai, 9 Oct 2026
Safety evaluation
Its SAFER benchmark evaluates security, query detection, knowledge retrieval fidelity, compliance, and recognition of knowledge limits. · opendialog.ai, 9 Oct 2026
Sales access
The site invites prospective customers to request a demo or contact OpenDialog about a custom agent. · opendialog.ai, 8 Oct 2026
Sales agent
Selma supports insurance sales journeys, from collecting quote information through policy purchase. · opendialog.ai, 9 Oct 2026
Secret storage
The Secret Context stores sensitive values encrypted at rest and masks them in logs and outputs outside authorised contexts. · docs.opendialog.ai, 8 Oct 2026
Support
The site links to product documentation and a contact option for help. · opendialog.ai, 9 Oct 2026
Use cases
Its agents cover quotations, policy questions, policy changes, re-engagement, and claims. · opendialog.ai, 9 Oct 2026

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