Three workflows, measured before and after.

Example baselines, builds and outcomes. Client names and results are illustrative; every number states its denominator.

Meridian Health

Support answers that stop costing twelve minutes each

A 240-seat support org was answering policy questions from a 900-page handbook and four wikis. One cited answer layer, wired into the ticket, cut average handle time by 38% in seven weeks.

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Average handle time: −38% Average handle time across 1.2M annual contacts
First-contact resolution: +22% First-contact resolution 90 days post-launch
Teardown to production: 7 weeks Teardown to production three engineers

Northwind Logistics

Invoices that match themselves, exceptions that route themselves

40,000 invoices a quarter hit a matching rule set that failed on every non-standard PO line. Chaining extraction, matching, exception routing and ERP write-back moved auto-match from 78% to 94%.

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Invoice auto-match rate: 78% → 94% Invoice auto-match rate on 40k invoices/quarter
Month-end audit prep: 5 days → 4 hours Month-end audit prep first two quarters
Cost per processed document: −81% Cost per processed document vs. prior BPO rate

Kestrel Financial

Underwriting in hours, with the reasoning attached

Commercial submissions waited 3.5 days for a first look and inbound leads waited 3 hours for routing. An intake and scoring system now produces a cited risk memo for every submission, approved by a human underwriter.

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Underwriting cycle time: 3.5 days → 11 hours Underwriting cycle time 6-month window
Speed-to-lead, inbound: 3h → 4min Speed-to-lead, inbound median, all inbound enquiries
Qualified meetings booked: +34% Qualified meetings booked 8-person team, one quarter

The reasoning behind the numbers.

Short pieces from the engineers who built these, on the decisions a metric does not show.

Read the blog What breaks between a demo and production, written after fixing it. See how we build The teardown, the evals, the approval gates and the handover.