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What changed in the business — and how it was measured.

We publish approved projects only. Every number on this page states where it comes from: measured by us against a recorded methodology, or reported by the client from their own figures.

Printed reports with charts, a calculator and a mug on a desk

Where we have cases

  • Consulting and professional services

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — 1; Document & Reporting Automation — no case yet, scenario covered

  • B2B SaaS

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • EdTech

    Aplora Sales — 5; AI Workflow Automation — 2; Document & Reporting Automation — 1

  • Finance and insurance

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • Manufacturing

    Aplora Sales — 1; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • Distribution

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • Integrators

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • Call centres

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • IT

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • Marketing and digital agencies

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — 1

  • Medical centres

    Aplora Sales — not applied; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • Automotive

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • Travel

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • Real estate

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — no case yet, scenario covered; Document & Reporting Automation — no case yet, scenario covered

  • eCommerce and retail

    Aplora Sales — no case yet, scenario covered; AI Workflow Automation — 2; Document & Reporting Automation — no case yet, scenario covered

  • A production floor: two workers at a bench going through a batch of goods.

    Client under NDA

    The best salesperson's playbook rolled out across a manufacturer's whole sales team

    The team's result rested on two people; the rest closed several times less on the same workload. Nobody knew what exactly the leaders did differently: conversations were not reviewed, and the gap was explained away as “experience”.

    Conversion to a sale three months after rollout
    +25%
    Conversion to a sale after six months
    +72%
    Read the case
  • At a counter, a staff member hands a document to a visitor

    We validated the system inside our own operations first

    Conversation review in an admissions funnel: how we validated the system on ourselves

    Conversation quality was judged from a few recordings a month. The reasons for a no stayed a hypothesis, commitments were captured from memory, and the CRM was filled in after the fact and only partially.

    Conversion from hot leads
    ×3.3
    Share of calls that went nowhere
    −40 pp
    Share of second contacts
    +30 pp
    Read the case
  • Hands on a laptop keyboard, a list of CRM records on the screen

    We validated the system inside our own operations first

    Lead scoring in the intake funnel: advisors stopped calling everyone in order

    Hot and cold leads sat mixed together. An advisor spent the day on people with neither a reason nor an intent, while leads showing clear readiness went cold in the queue.

    Read the case
  • A tablet showing an analytics dashboard: a pie chart and a trend line

    We validated the system inside our own operations first

    The funnel from lead to purchase in one picture: where the money was actually leaking

    Channels were compared on cost per lead rather than on the eventual sale, so a cheap channel looked better than an expensive one even when it brought people who don't buy. Nobody counted the losses between stages: for marketing the funnel ended at the webinar, for sales it began at the call.

    Google versus Facebook lead quality by conversion to sale
    ×3 in Google's favour
    Conversion at four or more touches versus one
    ×4–5
    Potential estimate: sales from the hot-lead pool identified
    +14–22 sales
    Read the case
  • An agent in a headset working at a laptop in an open-plan office

    Client under NDA

    An online store's support front line stopped growing with its order volume

    Operators were absorbed by repeat questions, complex enquiries got lost in the queue, and the knowledge base went stale faster than anyone could fix it.

    Enquiries that reach an operator
    −25–40%
    Ticket handling time
    −30–50%
    Support satisfaction (CSAT)
    +10–18%
    Read the case
  • Printed charts and a calculator on a desk, someone reconciling the figures

    Client under NDA

    The first ten days of the month stopped going into client reports

    For the first 8–10 days of the month the team assembled reports instead of doing project work. Approvals dragged, payments moved with them, and every new client meant either overtime or a hire.

    Time to prepare a monthly report
    10 days → 5 minutes
    Projects handled by the same team
    +30%
    Monthly saving on manual work
    ≈$5,000
    Read the case
  • Hands filling in a paper monthly planner beside a keyboard

    Client under NDA

    One account manager runs twenty-five cohorts instead of five

    Account managers kept cohort statuses in their heads. Every new course meant either overload or loss of control: missed classes and blown deadlines surfaced after the fact, when the student had already fallen behind.

    Cohorts per account manager
    5 → 25
    Cost of running one course
    −40%
    Read the case
  • A desk with reference material pinned to the wall, someone making notes

    Client under NDA

    Course materials stopped going stale faster than they could be updated

    A new module or an update took weeks. The load on methodologists grew faster than the team, and the product aged between releases: a student would see an example on a library version that no longer exists.

    Speed of releasing and updating material
    ×10
    Share of manual work in content production
    −50%
    Cost of producing content
    −40%
    Read the case
  • A row of labelled binders on an archive shelf

    Client under NDA

    Answers stopped living in people's heads: search across company documents, with the source attached

    Finding an answer took time, and what turned up could be out of date. Different people answered the client differently, and the surest route was to ask a colleague — that is, to interrupt one more person.

    Time spent finding information
    −40–60%
    Errors caused by out-of-date instructions
    −20–35%
    Read the case
  • Someone going through a printed form at a meeting table

    We validated the system inside our own operations first

    A sales candidate is assessed from a recorded conversation, not from the impression they leave

    Hiring decisions were made on the impression the interview left. Interviewers assessed candidates differently, a mistake surfaced a month into the job, and the head of sales spent hours on reviews and arguments about who was better.

    Read the case
  • Two people in headsets going over something on a monitor

    Client under NDA

    A school's sales team stopped depending on any one advisor's discipline

    There was no priority, and strong leads were lost in the queue. Conversation quality was checked on a sample, follow-up depended on whether the advisor remembered, and the manager spent hours listening to recordings instead of working the bottlenecks.

    Progression to a second contact
    +22%
    Overall conversion to a deal
    +5 pp
    Advisor time spent on admin
    −70%
    Read the case
  • A shop assistant with a laptop taking a customer's order on the sales floor

    Client under NDA

    Nurturing stopped being one campaign to the whole list

    The customer profile was described from gut feel, nurturing was launched by hand and identically for everyone, and hypotheses took weeks to test. Sales received leads with no readable warmth and spent time on people who were not ready.

    Stage-to-stage funnel conversion
    +30–40%
    Conversion to sale
    +20–50%
    Read the case
  • Someone putting sticky notes on a glass partition while colleagues work at laptops

    Client under NDA

    AI across four departments of a school: marketing, sales, content and operations in one loop

    Growth meant one of two things: losing quality, or hiring into every department in proportion to volume. No single department was the bottleneck — the seams were, and nobody owned them.

    Revenue
    ×3 in 4 months
    Operating costs
    −60%
    Read the case

How we calculate the result

The numbers on this page arrive along two routes, and we do not mix them.
  • An audited result — the full evidence base: a baseline fixed before the work, a description of what changed, a measurement window with dates, the data source, the calculation formula, an actual result rather than a projection, limitations and confounding factors, and the internal owner who approved publication
  • A reported result — a figure the client shared or one we observed in the process, with no recorded measurement methodology. Most of the early cases are published this way
  • Which route a metric came by is visible in the case itself: an audited one carries its measurement window and data source next to the number
  • No percentage is published without saying what it came from and whose it is

Have a similar workflow? Let's check whether the hypothesis transfers to your context

Someone else's result is not a promise. It does show where to look — and in the assessment we'll check whether the same logic holds for you.