MH

Intelligence

AI extraction from connected call transcripts, turned into coaching and company-wide patterns.

Extraction runs only on connected calls > 30s (captures gatekeeper & short calls). Cheap per-call step + weekly roll-ups.
Calls analysed (30d)
2,418
+312
Avg call length
3m 42s
+18s
Value-prop unclear
20%
↓ improving
Top blocking objection
Already have broker
184 mentions

Top objections (last 30 days)

Click to expand — see the best response from a top-performing call.

AI

Common pain points

Sized by frequency across analysed calls.

Unpredictable bills42Standing-charge creep31Complex multi-site invoicing28No Scope 2 reporting22Slow supplier service19Hidden broker uplifts17Half-hourly data gaps14MOP/DC contracts confusion11Capacity charges9

Value-prop clarity

% of calls flagged "value prop unclear" — last 8 weeks

38% → 20%

Role-type performance

Conversion to SQO by contact department.

Operations18% conv · 41% connect
MD / Owner14% conv · 28% connect
Procurement11% conv · 33% connect
Finance9% conv · 36% connect
Facilities8% conv · 30% connect

Operations contacts convert ~2.0× better than Finance. Prioritise Ops decision-makers when building target lists — push Finance to a secondary touch.

Gatekeeper insight

From calls < 90s and gatekeeper-dispositioned. Short calls still create value.

"Quick one — is [MD first name] about? It's regarding the renewal window."

38% · 212 calls

Use of a specific trigger event ("saw the new site opening in Reading…")

34% · 168 calls

Reference to existing supplier by name ("following up on the EDF account")

29% · 141 calls

Ask for Operations first, not Procurement

26% · 188 calls

Calling between 08:15–09:00 (pre-receptionist)

24% · 96 calls