Kore.ai vs Riverbed Agentic AI

Kore.ai builds and governs AI agents and workflows for enterprise use. Agent Studio supports visual and code-based authoring of agents, workflows, and tools in one workspace. Its Arch feature can turn a plain-language intent into a proposed system with agents, workflows, tools, policies, and handoffs. Agent Blueprint Language provides structured definitions for agent behavior, tools, guardrails, orchestration, and handoffs, with policies enforced outside the language model. The platform automates multi-step work across agents, people, tools, and systems, with configurable autonomy and oversight. Agents can be deployed across voice, web, Slack, Teams, mobile, and other channels. Tracing covers agent runs across reasoning, tools, guardrails, handoffs, and outcomes; evaluation supports testing quality, safety, and accuracy before and after deployment. The marketplace lists more than 300 integrations, including Microsoft A365, Salesforce, HubSpot, Jira, and GitHub. Deployment options include public-cloud multi-tenant SaaS, on-premises, and private-cloud dedicated VPC. The platform is presented for Global 2000 enterprises and sectors including banking, healthcare, insurance, retail, and global service operations.

Riverbed Agentic AI has no write-up on Specifiction yet; its figures are above.