How it works

Five phases. Files first, people on site only at the top tier.

Every engagement is contracted, consented and evidenced — never a stunt. Here is exactly what happens, in order, and where we draw the lines.

Phase 01

Brief and connect

Week 0 · 2 sessions

We sit with the leadership team and separate what you know from what you assume, then take read-only exports from the systems that hold the answers. Scope, boundaries and confidentiality terms are agreed in writing before any data is read.

  • Objectives and the three questions the engagement must answer
  • Read-only data intake from telephony, CRM, helpdesk, ATS and finance
  • Named client sponsor and a written data scope
  • Mutual NDA and an agreed ethical boundary

Phase 02

Overview and AI analysis

Weeks 1–2 · continuous

The AI layer reads the whole record rather than a sample — every call, ticket, pipeline note and system timestamp in scope — while leadership watches the live overview build. Findings only make the report if the pattern survives the numbers.

  • Speech-to-text and scoring on 100% of calls in scope
  • Ticket clustering, pipeline modelling and process mining
  • Impact estimates with the assumptions stated in the open
  • Live scorecards per function in the client portal

Phase 03

Full Audit + On-site embed — top tier, optional

1–3 weeks · real shifts

Only at Full Audit + On-site, and only with your written consent: a trained operator works the job. Openings, closings, peak, the dead hour. They queue with customers, answer the phone, use the systems your staff use, and log friction as it happens — evidence the data alone cannot give you.

  • Structured field log: timings, handoffs, workarounds, walk-aways
  • Shift coverage across weekday, weekend and peak trading
  • Systems used as a real employee, with real permissions
  • Zero covert recording of individuals — observation and notes only

Phase 04

The findings session

One session · report handed over

Founders and managers in one room. Findings ranked by cost, evidence attached, no individual named. Then the 30/60/90 plan with an owner against every action. You keep the report, and the client portal keeps it live so progress is tracked rather than remembered.

  • Ranked findings with severity and impact estimate
  • Operational scorecard by function
  • 30/60/90 action plan with named owners
  • Board-ready summary at Full Audit + On-site

Phase 05

Train, fix and re-score

Ongoing

Findings route into live online training for the teams the evidence points at, and into build sprints where a fix needs engineering. The same work is scored again afterwards, so improvement is proven rather than claimed.

  • Live online tracks built from your own evidence
  • Manager clinics and coaching against real scorecards
  • Optional AI build sprints for automations and dashboards
  • Verification pass on every previous finding

What we read

The files you send, and what we pull out of them.

Read-only exports only. Nothing is ever written back into your systems, and you can delete anything you have sent us at any time.

Call recordings and telephony

Transcribed, then scored on sixteen dimensions per call

CRM and pipeline exports

Speed to lead, stage conversion, slippage and discounting

Helpdesk tickets and inboxes

Clustered to root causes, response and resolution timing

Ad spend and lead reports

Cost per closed outcome, leads never contacted

ATS, HR and rota files

Time in stage, drop-off, coverage against demand

Finance and ops exports

Rework, exceptions, licences and spend without an owner

Audits by function

Seven functions. Pick the ones that carry your money.

Most clients start with three. Each function is read the same way — the whole record behind it, not a sample.

Contact centres and call quality

01

What 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

02

Is 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

03

Why 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

04

How 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

05

What 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

06

Where 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

07

What 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.

Ethics and consent

What we will never do.

This is an audit of systems, not surveillance of people. The distinction is contractual, not aspirational.

  • No covert recording of individuals

    We do not record audio or video of staff or customers. Our evidence is structured observation, timings, and your own operational data.

  • No named individuals in the report

    Findings describe roles, systems and processes. If a person is the problem, that is a management conversation we hand you privately, not a line in a document.

  • No performance monitoring product

    We are not a tool for building a case against employees. Engagements framed that way are declined.

  • No data leaves the engagement

    Everything sits under mutual NDA. Your data is used for your audit and nothing else — never to train third-party models.

View from behind a service counter at night with a blurred queue of customers

Ready to find out what your business actually does all day?