Client Results

What the work actually looks like.

Anonymized engagements. Real numbers. The kind of operational change that shows up in the owner's life, not just a report.

Case Study 01
Wellness & Services
Local day spa · Founder-operated
Process Automation · 4 Weeks
Before
20 hrs
per week lost to manual admin
After
2 hrs
per week to review and approve
New Tool Cost
$41
per month, total
20 hrs
Manual admin recovered per week
$150k
Annual service capacity unblocked
$41
Total new tool cost per month
4 wks
From audit to fully live
The Challenge

A local spa owner came to me spending 20+ hours a week on work that had nothing to do with running a spa. She was writing down client product orders on sticky notes, manually checking inventory in the back room, logging into her supplier portal to place individual orders when she remembered, and then at the end of each day manually entering every transaction from her POS system into QuickBooks by hand. Three nights a week she was staying late just to catch up on admin.

Here is what made this particularly painful: she is the most skilled service provider in the business. Every hour she spent on ordering and accounting was an hour she was not delivering a $150 facial or massage.

When I ran the numbers during her audit the picture became clear. Twenty hours per week of manual admin, multiplied by $150 per service hour, multiplied by 50 weeks: $150,000 in annual revenue capacity blocked entirely by work that should have been automated. Not some of it. All of it.

Operational Cost — Before & After
Before
  • — 20 hrs/week on manual admin
  • — 3 late nights/week catching up
  • — $150k annual capacity blocked
  • — Books always behind
  • — Zero client follow-up system
After
  • — 2 hrs/week to review and approve
  • — Leaves on time every night
  • — $150k capacity fully recovered
  • — Books always current
  • — Automated follow-up on every client
The Intervention

Built in 4 weeks across five interconnected workflows:

  • Client product orders now flow from a simple checkout form directly to her supplier automatically. Clients get a confirmation. She gets a daily digest. Zero phone calls. Zero sticky notes.
  • Wholesale inventory now reorders itself when stock hits a minimum threshold. Orders under $200 go automatically. Larger orders take one tap to approve on her phone.
  • Every POS transaction now syncs to QuickBooks in real time. No end-of-day entry. Books are always current.
  • Every Monday at 7am she receives a plain-English financial summary before her first client arrives. One email. Full picture.
  • Every completed service triggers a post-care follow-up sequence that handles rebooking prompts, product recommendations, and check-ins automatically.
The Outcome

The owner now leaves on time every night. Her books are accurate without her touching them. Her clients are followed up with better than before. She has recovered capacity to add 10+ service hours per week.

Total new tool cost to run all of this: $41 per month. The engagement paid for itself within the first week of operation.

Total monthly tool investment
$41 / month
Paid back in week one.
Case Study 02
Fitness & Coaching
Boutique gym · High-end personal training
Custom Dashboard + Automation · 6 Weeks
Before
10 hrs
per week on manual client follow-up
After
1 hr
per week to review and act
Time Reclaimed
40 hrs
per month returned to owner
90%
Reduction in follow-up time
40 hrs
Reclaimed per month
$72k
Annual training capacity unlocked
6 wks
From audit to fully live
The Challenge

A boutique gym owner specializing in high-end clients and personal training at scale came to me with full books and no breathing room. While revenue was healthy, he was spending at least 10 hours a week manually reviewing client reports and writing personalized nutrition and performance feedback by hand, on top of all his normal business admin.

The work was not optional. His premium positioning depended on the personal touch. But the way he was delivering it was completely unsustainable. He was the bottleneck between every client and the feedback they were paying for.

When I ran the numbers the picture was clear. At $150 per training session, 40 hours reclaimed per month represents $72,000 in annual training capacity that was previously consumed by admin work only he could do. The sessions were there to sell. The time was not.

Operational Cost — Before & After
Before
  • — 10 hrs/week on manual client review
  • — Feedback delayed or inconsistent
  • — No unified view of member data
  • — Owner bottleneck on every client
  • — No capacity to grow further
After
  • — 1 hr/week to review and act
  • — Feedback faster and more consistent
  • — Unified dashboard across all members
  • — System runs without owner in every loop
  • — 40 hrs/month freed for growth
The Intervention

Built in 6 weeks, centered on one custom performance dashboard that connected every piece of client data the owner was previously reviewing manually:

  • Members now log their own data directly into the system: workout results, nutrition statistics, and weekly mood check-ins. The input takes them two minutes. It used to take the owner ten.
  • The system synthesizes all inputs and presents a unified performance view for each member, updated automatically. The owner sees the full picture in one place, not across a dozen spreadsheets and messages.
  • The owner can trigger personalized follow-ups with one click: a push notification, an action plan, or a coaching prompt. The system handles delivery. He handles the thinking.
  • Automated check-in sequences run between coaching sessions so no client goes more than a week without contact, even when the owner is fully booked.
The Outcome

Client follow-up time dropped from 10 hours a week to 1 hour a week. The owner reclaimed 40 hours per month without reducing the quality of the client experience. In fact, clients reported faster and more consistent feedback than before.

At $150 per session, 40 hours recovered per month represents $72,000 in annual training capacity unlocked — capacity that was previously consumed entirely by admin work that should never have required the owner in the first place.

Those hours are now being reinvested into a second cohort of high-end clients, growth that was impossible before because he had no capacity left to give.

Case Study 03
Fortune 500 Financial Services
Enterprise Benefits Administration · Severance & Benefits Transition
Enterprise Engagement · Operating Model Redesign
Escalations
90%
reduction in calls tied to this decision
Decision Points
1
not three, after the redesign
Where It Lives
Step 1
first step in the flow, not the last question on a call
90%
Reduction in escalations
1
Election captured up front
0
Training fixes that moved the number
1
Flow used by employee and rep alike
The Challenge

A Fortune 500 financial services client ran a severance program with a single election sitting at the center of it. An employee leaving the company had to choose: take severance, or transition to retiree healthcare if eligible. If they chose severance, a second question followed immediately. Did they want to continue COBRA for the remainder of their coverage period, at a stated cost?

One election. Three downstream outcomes. All of it riding on a single moment in a phone call.

The call center handled this conversation thousands of times. The process required a representative to walk the employee through the choice, capture their answer, and document it correctly. Most of the time, that happened. Often enough, it did not.

When it didn't, the employee found out weeks later, at the worst possible moment. They'd call in, certain something was wrong, because their COBRA coverage had quietly lapsed, or no one had confirmed whether they'd actually been transitioned to retiree healthcare. The pattern was close to guaranteed. Severance ended. The phone rang.

Operational Cost — Before & After
Before
  • — Election captured verbally, mid-call, by a rep
  • — No reliable record of what was confirmed
  • — Coverage gaps discovered weeks later by the employee
  • — Fixed with training and performance plans
After
  • — Election made first, in a guided digital flow
  • — Every choice recorded at the moment it was made
  • — Coverage continuity confirmed before severance even began
  • — Fixed by rebuilding where the decision lived
The Intervention

The redesign moved the decision out of the call and into the system, in three steps:

  • The team's first instinct was to fix the people. Training got rebuilt. Coaching increased. Performance plans went out to reps who kept missing the step. None of it moved the number, because the problem was never the rep. It was an operating system that depended on a person remembering to ask a question correctly, every single time, with no record left behind if they didn't.
  • The real fix started with a different question. Instead of asking how to make the call center more reliable, the team asked where the decision should actually live. The answer wasn't later in the process, with better documentation. It was earlier, and outside the call entirely.
  • The election moved to the first step, not the last question. A guided digital enrollment flow walked the employee through the choice before severance even began processing, available to both the employee directly and the call center rep, presented the same way in both places. The decision wasn't buried in a footnote or a follow-up document. It was presented clearly, with the cost of each path stated plainly, and it required an answer before anything else moved forward.
The Outcome

Escalations tied to this single decision dropped 90%. Not because the people got better at their jobs. Because the system stopped depending on a human catching something it was never built to reliably catch.

Escalation Rate
Near-Certain → 90% Reduced
Decision Sequence
Last Question → First Step
Case Study 04
Fortune 500 Financial Services
Enterprise Benefits Administration · Retiree Healthcare Eligibility System
Enterprise Engagement · Systems Visibility & Auditability
Customer Experience
+5
NPS point lift after the change
Complexity Mapped
15
distinct eligibility variations
Source of Truth
1
auditable answer, visible everywhere
+5
NPS point lift
15
Eligibility variations mapped
1
Answer visible across every tool
100%
Outcomes traceable to the underlying rule
The Challenge

A retiree healthcare program with this much complexity is hard to describe and harder to live inside of. Eligibility and benefit amount depended on years of service, age bands, and date of hire, in combination, producing roughly fifteen distinct possible outcomes for any given employee.

That complexity wasn't a hypothetical problem for a plan sponsor to worry about. It showed up in real conversations, with real people, asking a real question at the worst possible time to get it wrong: what am I actually eligible for?

A call center rep, on the phone in real time, couldn't reliably work through fifteen variable combinations and land on the right answer. Most of these cases got escalated to a back-office research team. Even then, the answer sometimes came back wrong, because the complexity didn't go away when a more senior person looked at it. It just moved to a different desk.

Operational Cost — Before & After
Before
  • — Rules engine existed, but ran invisibly behind the scenes
  • — Reps and back-office staff manually cross-referenced variables
  • — Errors persisted even after escalation to research teams
  • — No way to verify how an answer was reached
After
  • — Same engine, now surfacing a clear, presentable answer
  • — A single eligibility indicator, visible on every tool
  • — Internal and client-facing tools showed the identical answer
  • — Every outcome auditable back to the underlying rule
The Intervention

The work wasn't new technology. It was making an existing engine show its work, in four moves:

  • The fix wasn't building new technology. A rules engine capable of mapping all fifteen eligibility combinations was already in place before this engagement began. The problem was that it ran quietly in the background, producing an answer no one downstream could actually see or use.
  • The work was making the engine show its work. Rather than replacing the system, the team rebuilt how its output reached the people who needed it, surfacing a clear, presentable eligibility indicator on both internal tools and the client-facing portal. The same answer, in the same place, every time, for a rep, a researcher, or the employee themselves.
  • Auditability mattered as much as accuracy. Every outcome could be traced back to the specific rule that produced it. That mattered because confidence in the answer was the actual goal, not just a faster lookup. A plan sponsor or a rep needed to trust the number enough to act on it without re-checking it manually, and trust requires being able to see how a conclusion was reached.
  • Self-service followed naturally. Once the engine's output was visible and reliable, the same logic became the backbone of a self-service modeling tool, letting employees explore their own eligibility scenarios directly, without a rep involved at all.
The Outcome

NPS rose five points off the back of this single change. Calls shifted from searching for an answer to confirming one. Plan sponsors gained confidence not because the technology was new, but because, for the first time, everyone was looking at the same answer and could see how it was reached.

Call Type
Searching → Confirming
NPS
+5 Points
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