AI sales call analysis built on your qualification method. It listens to Zoom, Teams and dialler recordings, scores MEDDICC or BANT gaps, writes the CRM update and tells managers which deals in the forecast are thinner than they look.
AI sales call analysis is software that transcribes recorded sales calls and uses language models to assess them against a qualification framework such as MEDDICC. It outputs a per-call qualification score, the gaps still open, a deal-risk rating, suggested next steps, CRM field updates and coaching notes for the rep and their manager.
Managers can listen to a few calls a week. Reps update Salesforce on Friday from memory. So the forecast call becomes a debate about feelings, and the deal that was never qualified slips at quarter end.
Reps spend just 28% of their week selling according to a Salesforce survey of 7,775 sales professionals.[1]
Only 45% of sales leaders and sellers have high confidence in forecast accuracy in Gartner research.[2]
Just 47% believe their organisation has high-quality data in the same Gartner survey.[2]
67% of B2B buyers prefer a rep-free experience so the calls that do happen have to count (Gartner, 646 buyers).[3]
Recordings are pulled from the tools you already use and matched to the right opportunity by attendee and domain.
Each call is scored against the framework your sales leaders already coach, with quotes as evidence for every element.
Fields, next steps and notes land in the CRM for rep approval. Managers get a weekly list of what to coach and which deals to challenge.
We turn your MEDDICC or BANT playbook into scoring criteria with your sales leader and agree the metric, such as CRM field completeness or forecast slip.
Access to meeting and dialler recordings plus Salesforce or HubSpot. We backfill the last 60 days of calls on open deals.
Managers review 30 scored calls against their own judgement. We adjust criteria until scores match how your best manager thinks.
New calls are scored within the hour, CRM updates flow for approval, and the first deal-risk digest goes to the forecast call.
| Criterion | Manager call reviews | Conversation intelligence SaaS | Stratgik build + run |
|---|---|---|---|
| Coverage | A few calls a week | All recorded calls | All recorded calls |
| Scoring criteria | Manager's judgement | Vendor's generic model | Your framework, calibrated with your managers |
| CRM update | Rep types it | Summary pushed, some fields | Your custom fields and objects, rep-approved |
| Best fit | Very small teams | Teams happy with standard trackers | Custom sales process, complex CRM, data in your cloud |
| Data location | N/A | Vendor cloud | Your cloud account |
| Pricing | Manager time | Per seat per year | Fixed pilot and monthly run fee |
Buyers do more research alone and bring sellers in later. Every call is now a larger share of the deal, and guessing what happened on it is expensive.
The win-rate lift is an assumption; the pilot measures field completeness and slip rate so you can test it.
Illustrative estimate using your inputs and stated assumptions, not a quote or guarantee. The pilot measures the real figure against your baseline.
21-day pilot, one sales team up to 30 reps
per month, production for one CRM
per month, multiple teams or regions
Transcription minutes, model tokens and cloud usage billed at cost with no markup; recording tools and CRM licences not included; taxes excluded. GBP and AED prices are indicative conversions from USD.
AI sales call analysis can score MEDDICC elements reliably once it is calibrated against your managers' judgement. In the pilot, managers review around 30 scored calls and we adjust criteria until the AI agrees with them on most elements. Every score includes the transcript quote behind it, so a rep or manager can check and correct it in seconds.
It can be, but it is a different model. Conversation intelligence platforms are strong, ready-made products priced per seat. Stratgik builds on your own cloud account around your exact qualification method, CRM objects and forecast process. Teams that already use a platform often keep it for recording and send the transcripts to us for custom scoring and CRM updates.
Yes. After each call the AI drafts updates to the fields you choose, such as next step, close date, decision criteria, competitors and MEDDICC elements, on the matching Salesforce or HubSpot opportunity. Reps approve with one click by default. Teams can later allow low-risk fields to update automatically once accuracy is proven.
The AI looks for evidence, or missing evidence, across every call on an opportunity: no economic buyer involvement, unquantified pain, competitor mentions, pushed timelines, pricing objections or a champion who has gone quiet. These signals combine into a deal score that managers review before the forecast call, with quotes explaining each flag.
It is generally possible with the right notices and consent, but the rules vary. Several US states require all-party consent, UK GDPR requires a lawful basis and transparency, and the UAE has its own data protection law. We build consent prompts and retention rules into the setup; your legal team confirms the policy.
A Stratgik AI sales call analysis pilot costs $15,000 for 21 days for one team of up to 30 reps, including framework scoring, CRM updates and a forecast-risk digest. Production runs at $4,000 a month per CRM, not per seat. Transcription and model usage is billed at cost.
In a 30-minute call we review your qualification framework, CRM setup and recording tools, and outline exactly what the pilot would score.