Proof
Proof of the work.
Three categories of evidence. Real numbers. Honest framing about where each came from.
Most consulting sites lead with anonymous case studies you can't verify. We'd rather show you our actual track record — enterprise engagements, operator work inside our own family businesses, and the systems we've built for ourselves.
Enterprise work · Senior analytics role · 2017–present
Compressing time at scale.
Josh has spent years inside a national healthcare data company building analytics systems and automation frameworks that compress operational time. These are not TLG client engagements — they're achievements from a senior W2 role — but they demonstrate that the methodology works at enterprise scale.
7 days
→
30 minutes
Reporting cycle automation.
Multi-day manual reporting consumed an entire week of operator time every cycle. The pipeline was the problem, not the report. Automated data extraction, unified the reporting layer, designed a dashboard the operator could glance at. Cycle now runs in 30 minutes — more accurate, because human transcription errors were removed.
4.5 hours
→
30 minutes
Reprocessing workflow rebuild.
Manual reprocessing was a 4.5-hour fire drill every time it ran. Rebuilt the workflow so reprocessing is an automated job that completes in 30 minutes, with audit trails and exception handling baked in.
Operator work · Family businesses · The long apprenticeship
Manufacturing Time isn't always a software problem.
Josh grew up working inside a fourth-generation family bakery and a constellation of adjacent businesses — painting, snowplowing, trades. Operational thinking is older than the analytics degree.
Lost hours
→
recovered labor
On-site lunch program.
Crews were leaving the job site for lunch every day. The drive, the wait, the meal, the drive back — 60–90 minutes of productive labor lost per day, per crew. Automation wasn't the lever; convenience was. Designed and implemented an on-site lunch program that made staying easier than leaving. Recovered productive labor hours across the workforce, without changing the workday length or the workforce size.
Manufacturing Time isn't always about software.
Sometimes it's about removing a reason to leave.
Self-applied · The personal foundry
We use the methodology on ourselves first.
Josh applies SAVE to his own work continuously. The site doesn't claim he's perfect at this — it claims he practices what he sells.
3+ hours/week
→
recovered
Inbox prioritization, self-applied.
Built an automated email triage system that routes incoming mail into priority lanes based on sender, subject patterns, and follow-up rules. Most emails never reach the main inbox. Recovers 3+ hours a week of attention — not just time, but cognitive bandwidth that used to be spent on reorientation.
The pattern
Different businesses. Different scales. Same methodology.
If we can compress 7 days into 30 minutes inside an enterprise data pipeline, redesign labor flow on a job site, and recover 3 hours a week from a single inbox — we can almost certainly find hours in your operation.
Find yours.
The discovery call is where we figure out what your version looks like.