Turn Phone Calls into Actionable CRM Insights
Eliminate manual call logging. Vistara AI generates accurate bulleted summaries, buyer intent tags, and audio recordings the moment a call ends.
Updated
Bulletpoint Summaries
Concise executive summaries of customer requirements and commitments.
Custom Extraction Fields
Define exactly what to pull out — budget, model interest, objection raised, competitor mentioned — and get it as CRM fields you can filter and report on.
Objection & Theme Tagging
Recurring objections are tagged consistently, so you can see which one is actually costing you deals rather than guessing from anecdote.
Delivery Where Your Team Works
Summaries push to your CRM, Slack, WhatsApp or a webhook, so nobody has to open another dashboard to find them.
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Manual call logging is the tax every sales organisation pays and nobody enforces. A rep finishes a call, has thirty seconds before the next one, and types three words into the notes field. The CRM slowly fills with entries like called, no answer and interested — which is functionally the same as having no record at all.
Automatic summarisation removes the tax. Every call produces a structured summary, the specific fields you care about, and the full transcript underneath — written the same way every time, immediately, whether the call was the first of the day or the fortieth.
What to Extract, and What Not To
A summary that tries to capture everything gets read by nobody. The useful discipline is deciding what a person will actually act on, and structuring only that.
- Extract decisions, not narrative — What was agreed, what was requested, what happens next. A blow-by-blow account of the conversation is what the transcript is for.
- Make the next action explicit — Every summary should end with a concrete next step and an owner. Summaries without one get read and forgotten.
- Use fixed field names — Free-text summaries cannot be aggregated. Structured fields with consistent names let you count how often price came up this month.
- Capture the customer wording — A verbatim quote of the actual objection is more useful to a rep than a paraphrase, and more useful to product than a category label.
- Keep the summary short — Five bullets that get read beat fifteen that do not. The full transcript is always there underneath for anyone who needs the detail.
Using Call Data as an Analytics Source, Not Just a Record
Once every call is transcribed and tagged consistently, your call log becomes the largest source of unfiltered customer language your business has. Most companies never use it, which is a considerable waste.
- Objection frequency over time — Which objections are rising. A price objection climbing month over month usually means a competitor moved before your team noticed.
- Competitor mentions — Who customers actually compare you against, in their words, rather than who you assume your competitors are.
- Feature and product requests — What people ask for that you do not offer. This is normally the highest-value data in the entire archive and it is almost never collected.
- Question gaps — Questions your agent or reps could not answer — a direct build list for your knowledge base and your marketing site.
- Drop-off analysis — Where in the conversation people disengage, which tells you what to rewrite far more reliably than internal opinion.
A simple monthly habit that pays for itself: read the twenty longest and twenty shortest calls. The extremes contain almost all of the actionable signal, and the median calls tell you very little.