OpenDialog is presented as a no-code AI Agent Management System (AMS) for building, managing and scaling conversational AI agents (chatbots / autonomous agents) with a focus on regulated industries. Core capabilities described on the public site and docs include a no-code conversation builder plus a developer SDK; multi-provider LLM prompt management and RAG/vectorised knowledge base support; integrations with back-office systems (policy admin, claims, payments, fraud, APIs); a rich conversation UI (chat, forms, payments, file upload, maps, calendars); audit trails, analytics and decision-level explainability; and human handover flows with fine-grained governance controls. Example autonomous agents highlighted on the site include Selma (AI sales agent for insurance - quote-to-buy, reduce abandonment, upsell), Jamie (policy expert handling complex policy queries), and Rhea (lead recapture / journey assistant to recover abandoned prospects). Primary target industries shown are insurance (primary messaging), banking & financial services, auditing and other regulated industries (healthcare, legal, etc.). The public site includes several on-page claims and metrics (presented by the vendor): sales/conversion claims such as “stop losing up to 70% of online prospects,” increased conversions and policy value (site cites ~12% average policy size increase via upsells), and faster ROI/reduced dependence on live agents. Customer experience/automation claims include phrases like “automating over 90% of customer interactions” (insurance page) and a demo/booking page that cites an 82% automation rate and 25% sales uplift; some pages reference “almost instant” ROI. The BDO case study (banking/auditing) is cited as showing efficiency gains enabling thousands more SME audits per year. Testimonials and customer logos referenced include VRG / Davies Group, Garzella Group and Bikesure. Security, compliance and governance messaging positions the product for regulated environments, emphasising safety, compliance and explainability. The site mentions ISO 27001-compliant data protection and auditable outputs with fine-grained decision controls; governance and responsible scaling features are promoted. Documentation and developer resources are available at a public docs portal (docs.opendialog.ai) which contains guides for conversation design, APIs, message types, tutorials and references. The docs reference billing and plans navigation, but no public pricing page with explicit rates was found on the marketing site. Pricing & trials: no public pricing or plan details, per-seat or usage pricing, or free-trial specifics were found on the main website or docs. Third-party listings (G2, GetApp, SoftwareFinder) are present but do not substitute for vendor-published pricing. The primary call-to-action is “Book a demo / Talk to an expert,” indicating pricing and plans appear to be handled via sales conversations. Gaps identified: no published pricing tiers or trial details, no publicly available detailed SLA or enterprise contract specifics, and no downloadable product datasheet with granular feature/pricing comparisons. Recommended next steps (as captured from the review): (1) Submit the Book a demo / Talk to an expert form to engage sales for pricing and licensing details; (2) For technical evaluation, review the docs (docs.opendialog.ai) and request a demo or trial environment from sales to validate integrations and compliance features; (3) Consult third-party review sites (G2 / GetApp) for user feedback and case-study details (BDO and cited testimonials); (4) Optionally instruct the reviewer to contact sales via the demo form and prepare suggested questions (pricing model, trial, deployment options, data residency, integrations, compliance evidence) or to gather additional third-party review/pricing signals from G2/GetApp/SoftwareFinder. Sources visited (public URLs): opendialog.ai (homepage and product pages), opendialog.ai/insurance, opendialog.ai/banking (BDO case study), opendialog.ai/book-a-demo (demo/metrics/contact form) and docs.opendialog.ai (product docs).