Inbound lead qualification
Collect the service interest, timeline and investment range, then assign the next step.
Connect the knowledge, tools and conversations that currently live in separate places. Give an AI employee a defined job and a clear route back to your team.
Each system starts with approved knowledge, clear responsibilities and a human handoff. We map the workflow before connecting the tools.
Confirm what the agent can answer, collect, schedule and escalate.
Integrate the relevant forms, calendar and CRM within the approved scope.
Check common questions, edge cases, refusals and human escalation.
Review outcomes and keep knowledge and workflows up to date.
Illustrative conversation, not a live AI agent. Every deployed system is scoped, connected and tested for the business it serves.
Collect the service interest, timeline and investment range, then assign the next step.
Help eligible prospects find a suitable appointment and prepare the team with context.
Handle approved inbound questions and route conversations to the right person.
Keep next steps organized after your team presents a proposal.
Summarize conversations and maintain agreed records and workflow stages.
Help your team find answers in approved business information.
The system is designed around defined tasks and escalation to your team. Sensitive, unusual or high-value conversations should reach an appropriate person.
We review your CRM, calendar, forms and available integrations during scoping. Integration feasibility and required subscriptions are confirmed before implementation.
No. It illustrates the workflow. A production agent needs approved knowledge, integrations, testing and a monitored handoff before going live.
Bring a workflow your team repeats every week. We’ll assess where an agent can help and where a person should stay involved.