Realtime voice
Low-latency turn taking lets an AI employee handle interruptions, clarifications, and natural conversational pacing.
AI WORKFORCE / SOLUTION 01
AI digital employees that remember, speak, and get work done.
Build a voice-first workforce on IronHeart.AI Runtime — connected to company knowledge, persistent customer context, payments, and the actions your operation already uses.
From a voice response to an operating system.
A digital employee should be more than a chat window with a name. It should recognize a returning customer, understand the current task, retrieve the right operational facts, speak naturally, and complete an approved action. IronHeart.AI provides that execution layer as one runtime rather than a collection of disconnected voice and automation tools.
Teams can launch receptionists, sales representatives, support specialists, concierge services, and internal operators without rebuilding the infrastructure for every role. Each employee can have its own permissions, voice, knowledge scope, escalation rules, and memory policy while sharing a common runtime foundation.
The result is an AI workforce platform designed for continuous service. Conversations can move between channels, sessions can resume after interruptions, and human operators can remain in control of high-risk decisions. The product stays yours: your brand, your workflows, your customer relationship, and your deployment model.
Persistent memory
Store approved customer preferences and task context so returning conversations do not restart from zero.
Knowledge and RAG
Ground answers in product catalogs, policies, inventory, and internal documents with scoped retrieval.
Orchestration and actions
Route work across specialist agents, CRMs, scheduling tools, payments, and human escalation paths.
From first shift to scaled operation
Start with one bounded job and a measurable service outcome. IronHeart.AI can power the conversation, retrieve governed knowledge, preserve permitted context, and invoke the tools needed to finish the task. As demand grows, orchestration separates roles into specialists without forcing customers through a maze of bots. Edge options can keep critical experiences responsive where connectivity is unreliable.
A practical rollout begins with a conversation map built from real service records. Define what the employee may answer, which systems it can change, when identity must be checked, and exactly how a human takes over. Measure completed outcomes rather than the number of messages produced. Once the first role is stable, reuse the runtime controls for adjacent jobs while keeping knowledge, permissions, and memory isolated. This staged approach lets operations teams learn from production behavior without turning an early pilot into an uncontrolled autonomous workforce.
IronHeart.AI Runtime brings realtime voice, memory, governed knowledge retrieval, agent orchestration, and edge deployment into a common execution layer. Explore the runtime architecture, review Robotics Brain, or compare options in pricing.
FAQ
Questions before you build.
What is an AI digital employee?
It is a branded software worker that communicates with users, uses approved business knowledge, remembers permitted context, and performs defined actions under explicit rules.
Can it connect to our CRM?
Yes. Actions can be connected to existing APIs and workflows, including lead creation, follow-up, scheduling, and human handoff.
Does every employee share the same memory?
No. Memory scope and retention can be configured by role, user, deployment, and policy.
Can we launch under our own brand?
Yes. IronHeart.AI is runtime infrastructure; the customer-facing product, voice, role, and commercial model remain yours.