Engage customers where they are
Combine phone and digital experiences simultaneously to solve complex problems that typically require human intervention.
Design voice, chat, multimodal agents, copilots, and background workflows in an intuitive visual canvas. Run them on the models and technology stacks your organization already trusts.
Our platform includes several core functional differentiators that work out-of-the-box to deliver agents that deliver in the real world.
Combine phone and digital experiences simultaneously to solve complex problems that typically require human intervention.
Empower humans to engage with customers with automated voice translation across dozens of languages. All through the server, no software installation needed.
Deliver massively scalable agentic workers that connect to customers on their channels of choice, integrated with backend systems to deliver results.
Provide human workers with integrated, dedicated AI assistants that can listen on conversations to provide coaching and knowledge, answer complex questions, and proactively deliver the details and briefings that representatives need at their fingertips to be successful.
TrueServe brings agent design, workflow automation, rapid testing, and deployment controls into one shared workspace.
Edit prompts, tools, voices and logic, test in real-time, manage versions, and keep delivery teams aligned.
OpenAI, Anthropic, Gemini, Hyperscaler-enabled, and self-hosted models can be used interchangeably.
Native paths for the platforms that already carry your customer conversations.
Implement rich logic with inline agentic steps to power complex automations and expose them as tools for agents or integrate them directly with external systems.
Supervise, approve, nudge, and audit without forcing a live takeover of an interaction. Provides self-checkout model management of AI workforces.
TrueServe lets designers and engineers iterate faster to get to value-driving AI with less cycles.
Mix and match different AI technologies like Speech-to-Speech, Structured Analysis, Translation and more to deliver novel AI experiences. Run multiple prompts in tandem, as subagents, or as a mix of the two.
Build background agentic workflows that automate processes like email translation, document analysis, and workload triage and classification. Trigger scalable workflows through APIs, scheduled batches, or direct integrations with event-enabled platforms like Salesforce, AWS, and GCP.
Changes save automatically and are immediately available for testing in the editor allowing for tools and prompts to be modified and evaluated on the fly to figure out what works faster.
Versioning, A/B testing, full audit trails, and automated fallbacks in the case of provider outages enable organizations to deliver trustworthy, reliable AI.
A human rep can watch live conversations, guide the next AI turn and approve risky actions - even across languages they do not personally speak.
AI agents can automatically alert human supervisors and ask for oversight and explicit approvals when the conversation veers into higher risk or regulated territory.
AI agents continue to own the conversation but connected supervisors can use a background chat to nudge and guide the AI, direct it to ask follow-up questions, and ultimately drive it to perform specific actions, even across a language boundary seamlessly.
When human escalation is needed, either internally or externally, AI can stay on the line or perform an outbound call, navigate IVRs, stay on hold, and interact with the human or agent that answers to collect and convey details as needed. AIs can then reconnect with original callers once ready to patch them through, or provide a validated response.
Start with a template agent, use AI to generate an agent from a description, or build from scratch.
Leverage baseline agent templates that establish the right architecture and technology choices for an enterprise-grade experience.
Insert snippets from our prompt library to instill specific behaviors, enforce established guardrails, or direct known industry standard procedures.
Give the built-in AI assistant a description of the agent you need and it will build a solid foundation that you can then iterate on alongside the integrated AI assistant.
Deploy into your cloud or cluster, connect managed services, and scale volume without moving customer data into a separate platform.
Runs on AWS, Azure, or GCP and natively supports their managed offerings for storage, databases, and secrets management.
Deploy to your own hardware using Kubernetes for peace of mind and full control over scaling and behavior.
Use FedRAMP certified cloud offerings with locally hosted models for a fully insulated AI platform.
TrueServe is a set of runtime, workflow, integration, and data services that can run together in your cloud or cluster.
Teams define agents, workflows, integrations, tools, catalogs, and policies in one governed workspace.
Publishes configurationRuntime services read the selected agent version, tenant settings, secrets, and channel-specific tuning.
Contact center, SIP, RTP, WebRTC, chat, and messaging transports enter through adapters.
Builds the live STT, model, tool, translation, handoff, and TTS pipeline for the selected agent.
Audio, chat frames, A2UI renders, supervisor context, and handoffs return to the channel.
Executes governed tools, MCP calls, workflow triggers, transfers, and sandboxed actions.
Provides retrieval, reusable multimodal components, catalog bundles, and A2UI surfaces.
Persists transcript, state, attachments, events, recordings, and UI frames for live and async work.
Runs durable workflows for classification, extraction, routing, review, scoring, and follow-up work.
Status, event publishing, config sync, and sandboxed runners keep deployments observable, synchronized, and controlled.
Live sessions stay fast because the orchestrator owns the active media path while tools, records, knowledge, and background work run through specialized services.
Hosts the agent builder, workflow canvas, test calls, integration setup, catalog management, and governed admin surfaces.
Teams design, test, publish, debug, or manage AI workers and the integrations they depend on.
Constructs STT, LLM, TTS, tool, subagent, translation, and handoff pipelines, then streams frames until the session ends.
A customer or employee starts a live call, chat, copilot session, or model-to-model service path.
Runs classification, extraction, translation, Salesforce work, HTTP calls, human review, notifications, subworkflows, batches, and scheduled jobs.
Email, document, CRM, batch, lifecycle, or webhook events need multi-step AI work with checkpoints and retries.
Dispatches HTTP, Python sandbox, MCP proxy, workflow, transfer, and host-action tools with tenant-scoped secrets and policy.
Agents need systems access, workflow triggers, external MCP tools, warm handoffs, or controlled code execution.
Terminates vendor streams, converts codecs, mixes audio, controls calls, and bridges channel protocols into the orchestrator.
TrueServe connects to Genesys, Webex, Five9, Amazon Connect, Salesforce, Teams, SIP, or browser-based WebRTC.
Persists conversations and messages, streams assistant frames to surfaces, and fans lifecycle events to workflows and analytics.
A live or async experience needs transcript history, event replay, A2UI rendering, or downstream analytics signals.
Indexes knowledge, compiles A2UI components, stores bundles, and restores tenant catalog workspaces when teams need to edit UI tools.
Agents need retrieval, rich UI surfaces, governed reusable components, or tenant-specific component libraries.
Publishes health, fans database events across clouds, replicates config, and runs untrusted Python or workspace tools in sandboxes.
Operators need health checks, event forwarding, config sync, and controlled local-tool execution for agents or workflows.
Bring the approved model, contact center, and cloud. TrueServe gives service teams a design layer they can operate.