AI Sales Call and Meeting Intelligence

The problem this solves

Most Zoho CRM orgs already capture calls. A telephony extension logs the call against the Contact or Deal, stores a recording URL, and stamps the duration. Then nothing happens. The recording sits there, and the only durable record of a forty-minute discovery conversation is whatever the rep typed into the Description field afterwards — usually a line or two, often nothing, and almost never the specific commitment that was made about pricing, timeline or scope.

The cost shows up in three places. Deal fields drift out of date because nobody updates the close date or competitor field after the call that changed them. Handovers lose context, so the solutions engineer joining call three has to ask the customer to repeat call one. And forecast reviews become memory tests: the manager asks what the customer actually said about budget, and the honest answer is that nobody wrote it down.

Zoho CRM gives you the plumbing — Calls and Events modules, custom fields, workflow rules, the Notes and Attachments APIs — but it does not listen to the audio. That is the gap this app fills.

What ECOSIRE builds

This is built to order for your org after a scoping call and a fixed quote, not downloaded. Typical lead time is one working week depending on your telephony setup, how many pipelines are in scope, and how much field automation you want.

Recording ingestion

A Zoho CRM workflow rule on the Calls module fires when a call is logged with a recording, invoking a Deluge custom function. That function retrieves the recording — from your telephony extension's stored URL, from a Zoho WorkDrive folder, or from an uploaded attachment on the Call record, depending on your setup — and hands it to a transcription service through invokeurl. Meeting recordings from your conferencing tool follow the same path, keyed to the Events module and the related Deal.

We design the ingestion path around what you already have. If your telephony extension exposes recordings through an authenticated URL, we use it. If recordings land in WorkDrive or a storage bucket, we poll or subscribe there instead. Zoho Flow handles the scheduled and event-driven orchestration where it is a better fit than a raw custom function.

Transcription with speaker separation

The audio is transcribed with speaker diarisation so rep and customer turns are distinguishable. The full transcript is attached to the Call or Event record through the Attachments API, and a searchable copy is written to a related custom module so your team can find "every deal where the customer mentioned a specific integration" without opening records one by one. Transcripts are timestamped, so a summary line can link back to the moment in the conversation it came from.

Structured summary and extraction

The transcript goes to a language model with a prompt built for your sales process, not a generic meeting-notes prompt. The output is structured JSON that we validate before writing anything: an executive summary, the customer's stated pain and current stack, objections raised, competitors mentioned, budget and timeline signals, and a list of commitments split into what the rep promised and what the customer promised.

Each extracted item is written where it belongs. The summary becomes a Note on the Deal. Commitments become Tasks in the Activities module with owners and due dates, linked back to the source call. Objections and competitor mentions populate custom picklist and multi-select fields on the Deal so they are reportable — you can finally build a Zoho Analytics report of which competitor shows up in the deals you lose.

Deal field updates under your control

This is the part that needs care, so it is built to be conservative. Extracted signals do not silently overwrite CRM data. Each candidate update — a revised close date, a changed budget, a stage advance, a newly identified decision maker — is written to a staging field or a review queue with the transcript quote that justified it. You decide per field whether it auto-applies, requires one-click acceptance by the record owner, or is suggestion-only.

Where auto-apply is enabled, the change is stamped with its source so the audit trail shows that a field moved because of a specific sentence in a specific call, not because someone guessed. Contacts mentioned by name and role during a call can be raised as suggested new Contact records linked to the Account, which is usually where multithreading actually starts.

Coaching and pipeline visibility

A Sigma widget on the Deal detail page shows the call history with summaries, commitment status, and unresolved objections in one pane, so a manager preparing for a forecast review does not have to read four transcripts. Talk-ratio, question count and monologue length per rep are computed from the diarised transcript and made available as Zoho Analytics datasets — useful coaching input, and deliberately reported as raw measurements rather than a proprietary "score" you cannot interrogate.

Optional Zoho Cliq notifications post a short summary to the deal team channel minutes after a call ends, which in practice is what gets the summaries read at all.

Who this is for

Sales organisations running Zoho CRM with a telephony or conferencing integration already logging calls, where deals involve multiple conversations over weeks and losing context between them costs revenue. It fits teams doing consultative or technical selling, teams with handovers between AE, SE and implementation, and sales leaders who want coaching evidence rather than anecdotes.

It is not a good fit for high-volume transactional calling where each call is thirty seconds, and it needs recordings to exist — if your calls are not recorded, or recording is not lawful in your jurisdiction for your call types, this has nothing to work with. We will raise that on the scoping call.

How delivery works

Scoping call. We look at your CRM live: which telephony or meeting extension you use, how recordings are stored and for how long, your pipelines and stages, existing Deal fields, and who owns what. We agree exactly which fields may be auto-updated and which require human acceptance, and we walk through consent and recording-notice requirements in your markets.

Fixed quote. A written scope naming every custom function, field, workflow, widget and integration point, with the price and delivery window. Fixed unless you change scope in writing.

Build. Development runs against a CRM sandbox or a dedicated test pipeline in your org. We process a set of your own real recordings early so you can judge transcript and summary quality on your actual calls, in your actual vocabulary, before the build is finished.

Install in test, then production. We deploy to a test pipeline first with all field automation in suggestion-only mode. You compare what the system extracted against what the rep knew. Once the extraction quality is proven on your data, we enable auto-apply for the specific fields you approved, one at a time.

Support. A post-go-live support window covers defect fixes, prompt tuning as your product and objection patterns change, and threshold adjustment. Handover includes the prompt text and the extraction schema, so your admins can adjust what is captured without waiting on us.

What you should know before buying

Transcription and language model processing run through endpoints you control with your own credentials; you pay those providers directly for usage and ECOSIRE does not mark it up. We estimate volume with you during scoping. Because this processes recorded conversations, the handover pack documents exactly what audio and text is transmitted, to which endpoint, and what retention that endpoint applies — material your legal team will want before go-live. Recording consent and notification remain your responsibility as the data controller; we build the retention and redaction controls you specify, but we cannot make an unlawfully recorded call lawful.