Hard ROI & case studies

CEOS BUY RESULTS.

Not technology. Every engagement below follows the same rigid format: what was broken, what we built, what it measurably returned. Figures marked * are illustrative placeholders pending audited client data.

01The metrics dashboard
0h
Manual hours eliminated / yr*
$0M
Overhead removed across clients*
0%
Data-entry error reduction*
0 min
Downtime during integrations
02Deep-dive enterprise studies
CASE / 01

Intelligent talent acquisition

Logistics group · 600+ staff
1 · The legacy bottleneck

1,400 CVs a quarter, screened by hand

Recruitment ran on shared inboxes and spreadsheets. Three coordinators screened full-time; shortlists took 11 days and strong candidates accepted elsewhere first.

2 · The 80/20 implementation

Parse, score, self-schedule

Custom CV parsing and role-fit scoring integrated in parallel with their HRIS. Candidates book interviews from ranked shortlists — humans make the final call.

3 · The measurable impact
−75% time-to-shortlist

11 days → 2.7 days. Coordinators redeployed to candidate experience; offer-accept rate up 12 points the following quarter.

9-week build · 0 min downtime · 1,180 h/yr returned*
CASE / 02

Operational digitization

Manufacturing · 3 plants
1 · The legacy bottleneck

Handwritten plant logs, re-keyed twice

Production data lived in paper logbooks, manually re-entered into two disconnected spreadsheets. Reconciliation errors surfaced weeks late, at month-end.

2 · The 80/20 implementation

Scan → structure → validate

Document-understanding pipeline converts scans into a structured database with automated validation. A two-item human review queue replaces wholesale re-keying.

3 · The measurable impact
97.4% fewer errors

Month-end reconciliation went from 4 days to 3 hours. Plant managers see line data the same shift it's written.

12-week build · 0 min downtime · 2,300 h/yr returned*
CASE / 03

Marketing & growth engine

Consumer brand · regional
1 · The legacy bottleneck

Ad budgets steered by Monday meetings

Creative rotation on Meta and TikTok was manual. Underperforming ads ran for days; winners were scaled late. CAC drifted upward every quarter.

2 · The 80/20 implementation

Self-tuning creative lab

Automated A/B deployment with dynamic creative optimization. Losers are killed in hours, winners scaled automatically — strategy stays with the CMO.

3 · The measurable impact
−34% CAC in 90 days

Click-through up 2.9×, budget waste on dead creatives effectively zero. The growth team now ships campaigns, not spreadsheets.

6-week build · 0 min downtime · 640 h/yr returned*

Your bottleneck could be
case 04.

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