Contact centres and call quality
01What does your customer actually hear?
Speech-to-text on 100% of calls, then scoring for objection handling, compliance language, hold discipline, empathy and close attempts.
Sales teams and pipeline
02Is it a lead problem or an execution problem?
Pipeline hygiene analysis, stage-conversion modelling, and language analysis across calls, notes and email threads to find where deals actually die.
Recruitment and hiring engine
03Why do the wrong people arrive and the right people leave?
Time-in-stage modelling across the ATS, drop-off attribution, and scoring of adverts, scorecards and interview notes for consistency and bias risk.
Customer service and retention
04How much revenue leaves before anyone notices?
Ticket clustering to find the ten root causes behind the thousand contacts, churn-driver analysis and sentiment trends across every channel.
Marketing and lead generation
05What are you paying for leads nobody works?
Channel-to-revenue attribution, cost-per-qualified-outcome modelling and spend reconciliation across platforms, agencies and tooling.
Operations and back office
06Where does the day break, and what does the break cost?
Process mining across system timestamps, throughput analysis at the constraint, and rework and exception costing.
AI readiness and tech stack
07What could a machine be doing by next quarter?
Full stack map against real usage, automation candidates ranked by payback period, and a build-versus-buy call on each one.