Contact centres and call quality
01What does your customer actually hear?
We sit on the floor, take live calls or shadow them, and then run every recording we are given through the AI layer. Not a 2% QA sample — the whole month.
What the AI layer does
Speech-to-text on 100% of calls, then scoring for objection handling, compliance language, hold discipline, empathy and close attempts.
- Answer, abandon and repeat-contact rates by hour
- Talk-to-listen ratio and dead air per agent
- Compliance phrases missed on regulated calls
- First-contact resolution versus recorded outcome
Sales teams and pipeline
02Is it a lead problem or an execution problem?
We work the desk alongside your reps, sit in on pitches, and reconcile what we saw with what the CRM claims. Built on the methodology behind The School of Sales.
What the AI layer does
Pipeline hygiene analysis, stage-conversion modelling, and language analysis across calls, notes and email threads to find where deals actually die.
- Speed to first contact on inbound leads
- Follow-up sequence completion versus claimed activity
- Stage conversion and slippage by rep and by source
- Discounting behaviour and margin leakage
Recruitment and hiring engine
03Why do the wrong people arrive and the right people leave?
We enter your funnel as a candidate and as a new starter. We experience the advert, the screen, the interview, the offer and week one exactly as a hire does.
What the AI layer does
Time-in-stage modelling across the ATS, drop-off attribution, and scoring of adverts, scorecards and interview notes for consistency and bias risk.
- Time to hire and candidate drop-off by stage
- Ghosted applicants and unreturned interview feedback
- Onboarding to unassisted competence, in days
- Early attrition against the reason recorded
Customer service and retention
04How much revenue leaves before anyone notices?
We take the tickets, the complaints and the cancellations. We measure recovery on the worst day, not the average one.
What the AI layer does
Ticket clustering to find the ten root causes behind the thousand contacts, churn-driver analysis and sentiment trends across every channel.
- First-response and resolution time by channel
- Repeat-contact rate and its root causes
- Save rate on cancellation and complaint calls
- Churn drivers ranked by revenue at risk
Marketing and lead generation
05What are you paying for leads nobody works?
We follow a lead from ad click to the moment it goes cold, then trace it back through every system it touched.
What the AI layer does
Channel-to-revenue attribution, cost-per-qualified-outcome modelling and spend reconciliation across platforms, agencies and tooling.
- Cost per lead versus cost per closed outcome
- Leads received but never contacted
- Duplicate and mis-routed enquiries
- Agency and platform spend without an owner
Operations and back office
06Where does the day break, and what does the break cost?
Shifts, handovers, queues, approvals, rework. We time the sequences your team runs on instinct and find the point where the process stops matching reality.
What the AI layer does
Process mining across system timestamps, throughput analysis at the constraint, and rework and exception costing.
- Cycle time and queue depth at each constraint
- Manual re-entry between systems, in hours per week
- Exception and rework volume against standard
- Scheduled versus worked coverage against demand
AI readiness and tech stack
07What could a machine be doing by next quarter?
Noahsure Group builds and operates seven live AI platforms. We use that engineering judgement to separate what is genuinely automatable from what is a vendor's pitch deck.
What the AI layer does
Full stack map against real usage, automation candidates ranked by payback period, and a build-versus-buy call on each one.
- Tool overlap, dormant licences and renewal exposure
- Tasks automatable with existing tooling
- Data quality blocking any AI deployment
- Ranked automation roadmap with payback in months