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Maksym Semenykhin

AI for CRM and Telephony Without Losing the Audit Trail

Telephony, AI call processing and CRM reporting in one workflow: structured output, idempotent jobs, retries, visible failures and human review.

Scope & deliverables

For whom
Teams connecting telephony, CRM and AI processing without losing traceability or control over customer data.
Outcome
A scoped end-to-end workflow with structured output, idempotent jobs, retries, failure visibility and a human-review path.
What I need
API documentation, a sample workflow, approved test data and clear data-retention and access requirements.
Format & timing
Start with one workflow and agreed acceptance criteria. Expansion follows validation of quality, usage costs and operational behavior.

Project or ongoing retainer. Scope, schedule and fees are agreed after an initial review. I reply within one business day and name the next step before you commit to anything.

Map your AI workflow

Related engineering experience

AI sales quality assessment and branch rankings

Integrated AI into a multi-tenant CRM to assess how sales teams communicate with customers: whether they ask appropriate questions and correctly interpret the answers. Assessment results fed branch ranking tables.

Questions about this service

How do you keep an AI-to-CRM workflow reliable?

Separate the incoming event from background processing, make jobs idempotent, validate structured output and make failures visible. Agree retry behavior and a human-review path, then test quality and usage costs on approved sample data before expanding.

Can AI be added to the product we already run?

Yes, as a separate workflow beside what works today: one event in, one structured result out, with retries and a human-review path. Production behaviour changes only after the output meets the acceptance criteria we agreed.

What happens to customer data in AI processing?

Only the fields the step needs go to the model, with retention and access rules agreed before the first call, and every result stays traceable to the input that produced it.

Practical reading

Call quality check without listening to every recording

AI for calls in a CRM: start with one decision

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