Deploy a Brand Agent via MCP and REST. Your brand actively present in every AI-mediated buyer interaction. With guardrails, sales intent signals, and a sandboxed Playground for safe pre-deployment testing.
Audit sees what AI says. Content fixes what AI reads. Agent controls what AI is told. The strategic capstone of the Kodiac platform.
No-code/low-code builder. Train against Kodiac Content. Define agent persona, tone, scope. Version-controlled with rollback.
Expose your Brand Agent via Model Context Protocol and REST. Customer AI systems discover and query directly.
Hard stops for pricing, legal, compliance topics. Rule types: keyword, topic, intent. Custom plain-language rules.
High/Medium/Low intent classification per interaction. High-intent automatically routed to sales CRM.
Cryptographic signing or token auth. Customer AI systems can verify they're talking to your official Brand Agent.
Test before going live. Pre-built scenarios, AI system simulation, session metrics, adversarial prompt pack.
Going live with a Brand Agent without testing is a major brand risk no enterprise will accept. The Playground turns Agent setup from a leap of faith into an evidence-based deployment decision.
Gartner projects autonomous AI agents will reshape buyer journeys. Brands that deploy representation infrastructure now own the recommendation layer. Brands that wait will be described by AI's interpretation of public data.
Your Brand Agent is only as good as the structured content it knows. Customers who try to deploy Agent without Content see inconsistent, unreliable responses. We never sell Agent without confirming Content is in place. Recommended path: Audit → Content → Agent.
Run your free three-layer audit to see where your brand stands today. Then we can talk about Content and Agent.
Audit is the diagnostic. Content fixes the structural issues it finds. Agent makes you the source AI queries directly. One platform, three stages, end-to-end agent readiness.
