Voice AI · sales · support · operations

Full-cycle AI call-center automation

Sergey Moloman designs and builds AI call centers that own the workflow beyond the conversation: from the first call through voicemail, callback, follow-up, CRM updates, human escalation, and measurable operational reporting.

Map a call-center workflow

Share call type, volume, current telephony, CRM, handoff rules, and required outcome.

ContractorSergey Moloman

ChannelsPhone · voicemail · email

SystemsCRM · routing · analytics

TeamsSales · support · training

The whole call lifecycle

A useful call-center agent needs tools, state, policies, and follow-through—not only a voice model.

Inbound and outbound calls

Qualification, support, appointment flows, scripted and adaptive conversations, routing, consent, and controlled handoff to a person.

Voicemail and callback

Voicemail detection and handling, missed-call recovery, scheduled callbacks, retry policies, time windows, and customer preferences.

Follow-up and information delivery

Send the promised email or information after the call, generate a structured summary, and trigger the next approved business action.

CRM and workflow updates

Create or update contacts, opportunities, tickets, dispositions, notes, tasks, and follow-up status through APIs and controlled integrations.

Training and simulation

Realistic sales and support simulations, repeatable scenarios, scoring, coaching feedback, and safe rehearsal before live customer calls.

Controls and analytics

Permissions, audit logs, review queues, quality checks, escalation, fallbacks, outcome tracking, and staged deployment.

Engagement scope

Sergey works as the accountable contractor across discovery, call-flow design, voice-agent behavior, telephony and CRM integration, backend workflows, testing, monitoring, and deployment.

The system can start with one narrow call type and expand only after real outcomes, failure modes, and handoff behavior are reviewed.

Confidential delivery

Sergey builds a lead simulator for sales and support training. The project name, client identity, country, recordings, prompts, operating data, and internal integrations are not disclosed.

Public verification is available through Sergey Moloman's product record, the canonical profile, and published implementation notes.