Turn calls into trials, bookings and member actions.
Handle recurring front-desk calls without sending every request to staff.
AI voice agents
AI voice agents that keep working after the call.
Answer calls 24/7, use your tools, update systems and hand off when a human should decide.
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What we optimize for
Natural turns. Useful outcomes.
Latency300 ms target
ConversationInterruptible, natural turn-taking
ChannelsVoice + chat + browser
ResolutionTools + specialist agents
CostOptimize per resolved outcome
300 ms is an engineering target, not a measured production result. Actual latency depends on the deployed voice stack and workflow.
Compare voice agents on the same real work
Use the same call types, languages and systems for each pilot. Agree on the pass criteria before testing.
Response time
Measure from the caller finishing to the first audible response. Report median and 95th percentile; separate answers that wait for tools.
Resolution
Count a case only after the requested task is confirmed complete. Report human handoffs separately and check for repeat contacts in an agreed follow-up window.
Conversation quality
Test interruptions, corrections, silence, accents and noise. Compare recordings without revealing the provider to the reviewers.
Total cost
Include telephony, models, tools, failed calls and human handling. Divide total pilot cost by confirmed resolutions; state setup costs separately.
Control
Test denied actions, approval pauses and staff transfers. Check that the receiving person gets the context and that blocked actions never execute.
Pilot checklist, not a published benchmark. No customer results are implied.
Beyond Voice Agent
Voice is only one way into the agent.
Take the call. Prepare the next step. Pick it up in team chat — with the same knowledge, tools and permissions.
See what else your agents can do →Voice Agent use cases
Start with one call your team handles every day.
Book, qualify, resolve, verify, route or follow up. Start with one recurring outcome.
Explore AI solutions by workflow →Resolve the case while the customer is still on the line.
Use support knowledge, account context and approved actions; hand off only when judgment is needed.
Automate the admin call. Keep clinical judgment human.
Scheduling, reminders, FAQs and routing inside a bounded administrative workflow.
Qualify, follow up and update the CRM from the same conversation.
Inbound or outbound qualification, booking and system updates without stitching together separate bots.
Let the phone start work that continues after the call.
Capture the caller’s request, create a task and route it to the right team or specialist agent.
What call should your company stop handling manually?
Bring one recurring call. We’ll map the outcome, systems and approval boundary.
Control
Act automatically. Ask when it matters.
Set what the agent may do, what needs approval and what stays blocked. The same rules apply across voice, tools and workflows.
ALLOWAct inside scopeBook, update or retrieve when the action is already permitted.
APPROVALPause before impactAsk before sensitive writes, financial actions or other configured boundaries.
HANDOFFGive the decision to a personTransfer the transcript, context and unresolved state instead of restarting.
Createting vs a voice-first stack
Voice agent vs. agent platform.
Choose around the work: the calls themselves, or the calls plus the agents, tasks and approvals that follow.
Channels and workspace
Voice platforms can also offer chat, messaging and connected tools.
Createting: reusable agents for phone calls, internal chat and multi-step work.
Control
Compare call-flow controls, tool permissions and approval behaviour.
Createting: rule-based Pathways, Thinkways for reasoning inside the voice agent, and approvals before sensitive actions.
Work beyond voice
Check where follow-up work runs and which system keeps its context.
Createting: delegate research or preparation to specialist agents in the same platform.
Operator view
Compare visibility beyond the transcript: completed work, pending tasks and handoffs.
Createting: follow mission state, delegated tasks and approvals in Mission Control.
Voice platforms evolve quickly. This compares operating models, not every feature of every vendor.
Security by design
Scoped access. Human approval. Audit trails.
Define which data the agent can access and which actions need approval. Review deployment, privacy and assurance requirements for your workflow.
Security & assurance →AI voice agent FAQ
Questions people ask before deploying a voice agent.
What is an AI voice agent?
An AI voice agent handles phone conversations and can connect the call to knowledge, tools and workflows so it can complete approved work instead of only answering questions.
Can a voice agent use our CRM, tools and knowledge base during a call?
Yes, when those systems are connected and permitted. Createting can use approved knowledge and tools while keeping consequential actions behind the configured policy and approval boundary.
Can the same agent work across voice and chat?
Createting is designed so an agent can keep its operating context across supported execution surfaces instead of being rebuilt as a separate voice-only automation. Available channels depend on the deployed configuration.
How fast are Createting voice agents?
End-to-end latency depends on telephony, speech, model, tool and deployment choices. We optimize for fast first audio, responsive turns and interruption handling, then benchmark the deployed workflow rather than publish one universal number.
How much does an AI voice agent cost?
Cost depends on telephony, voice, model, tool use and call volume. We optimize the complete runtime around cost per resolved outcome rather than treating one provider’s per-minute price as the whole operating cost.
Can a human approve an action or take over the call?
Yes. A configured action can proceed automatically, pause for approval or hand off with the transcript, context and unresolved state so the person taking over does not restart from zero.
Start with one call
Bring one call. We’ll map the rest.
Tell us which calls you want to automate and which systems you use. We’ll define the first workflow together.