Consent-aware channels
Gate voice and messaging actions using the available consent state, channel-level opt-outs, suppression rules, and quiet-hour policies.
One connected layer for voice, SMS, email, and web—AI agents that qualify leads, book appointments, and follow up on time, with human control at every step.
Follow the same operating context through understanding, decision, execution, and human oversight.
Bring together the signals and history available to the deployment so the next step starts with relevant customer context.
Web visit, lead, or conversation
Customer history and intent
Policy-aware orchestration
Scheduler or CRM updated
Outcome, trace, and human handoff
Hear the voice sample, then see how a conversation can connect to a controlled, inspectable customer workflow.
Voice sample is paused.
Audio content summary
A customer says their Rogue needs service after the check-engine light comes on. The AI agent acknowledges the concern and asks whether the vehicle is drivable or whether a tow is needed, beginning the conversation with a safety-oriented next step.
A customer conversation enters the configured workflow.
Identity, intent, and approved customer context are brought together.
The agent follows the configured policy and selects an allowed next step.
The result, exception, and handoff state stay visible to the operating team.
The operator stays in control
Configured permissions, visible outcomes, and human handoff keep the workflow inspectable.
Illustrative workflow. Available actions depend on each deployment's approved configuration and connected systems.
How each capability works, and the exact screen where your team runs it.
AI agents answer on voice, SMS, email, and your website — and every touch lands in the same thread with full context, so nobody asks a customer to repeat themselves.
Four channels, one identity. Every touch lands in the same thread with full context — the agent never asks a customer to repeat themselves.
Who to contact, what to say, and when to follow up — sourced from an audience, your lead inbox, or a date anchor like a lease end. Scripted, guided, or autonomous.
A campaign gives an agent a job: who to contact, what to say, and when to follow up. In guided mode the agent may adjust the timing — and must say why.
The action queue is the agents’ agenda: what happens next, what’s late, what’s stuck — and delivery failures are honest, down to the carrier code.
The queue is the agents’ agenda — what happens next, what’s late, what’s stuck, and why. Holds are explained, failures are honest, and a human can own any thread in one click.
Use the same customer context, channel controls, and execution history across service, sales, and retention workflows.
The customer still gets a useful next step.
An AI agent can identify the customer, use the systems configured for that location, and complete a routine booking—or hand off an edge case with the conversation context attached.
Calls outside staffed hours often become voicemail and manual callback work.
Available actions depend on the systems, permissions, consent state, and workflows configured for each deployment.
The platform is designed to show what happened, why the workflow acted, and where an operator can intervene.
Gate voice and messaging actions using the available consent state, channel-level opt-outs, suppression rules, and quiet-hour policies.
Let an operator assume control of a conversation with the context already captured—and hand back when done, or automatically after a set window so threads never stall.
Review the event path, tool calls, outcomes, delivery state, errors, and available usage context behind an automated interaction.
Track tool success, delivery, consumption, and configured limits so teams can investigate failures and control operating cost.
Provider access differs by system, retailer agreement, and required operation. We confirm read, write, scheduling, and lead-delivery coverage before a workflow is approved.
Customer, lead, opportunity, and activity workflows.
Systems to scope
Retailer and customer operations scoped by provider access.
Systems to scope
Appointments, inventory context, and approved data services.
Systems to scope
Flexible ways to move approved data and trigger workflows.
Systems to scope
Readiness review
The systems your stores already run
Every launch starts with a bounded workflow, a verified connection plan, and clear human ownership.
Define the customer journey, systems, permitted operations, escalation owners, and measurable outcome before configuration begins.
Set channel behavior, knowledge, tools, consent rules, quiet hours, handoffs, and test cases around the approved workflow.
Release in stages, monitor conversations and tool activity, review outcomes with operators, and expand only after the workflow is performing as intended.
The full story documents the operating challenge, configured workflow, handoff model, systems involved, and customer-reported outcome.
Read the customer story“We went from missing nearly half our after-hours calls to answering every single one. The AI agent doesn't just pick up—it books the appointment, updates our DMS, and sends the customer a confirmation. Our service lane has never been this full.”
Bring the customer journey your team wants to improve. We'll map the context, channels, connected actions, controls, and success criteria around it.
Agree on one workflow, its systems, and measurable success criteria.
Take over, hand back, and review the context behind every outcome.
Consent gating, quiet hours, opt-outs, and auditable communication records.