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OUR WORK
Real results for real businesses
Every engagement is different. Here's what happens when strategy meets execution.
AI & Tech
01
$250K
labor cost saved annually
AI Use Case Identification
Situation
A research team was spending a significant portion of their budget on manual data processing — work that was slow, error-prone, and didn't actually require a human. They knew AI could help but weren't sure where to start or what was realistic.
What we did
We spent time understanding how the team actually worked — not just the org chart, but the day-to-day — and identified the three highest-impact places to automate. Then we built the tools. Not off-the-shelf software configured to their workflow, but tools built specifically for how they operate.
Results
+25%
Data accuracy
$250K
Annual labor savings
Analyst capacity redirected
to insight generation
Strategy & Finance
02
$3M+
net income increase
Financial optimization
Situation
A growing services firm had healthy top-line revenue but margins that kept slipping. Leadership had a general sense something was wrong but no clear visibility into where value was actually being lost — which made it hard to make confident decisions about pricing, hiring, or investment.
What we did
We rebuilt their financial strategy from scratch — starting with cost structure, moving through pricing, and ending with a reporting setup that gave leadership real-time visibility into what was happening. The changes weren't dramatic individually; together they added up fast.
Results
$3M+
Net income increase
+10pts
Gross margin growth
Delivered within one year
Research Recruitment
03
-21%
attrition reduction
Talent infrastructure & staffing metrics
Situation
Every year, an executive and finance team spent the better part of a quarter on scenario modeling for the annual budget. The process was exhausting, the outputs were often stale by the time they arrived, and there was almost no room for real strategic conversation in between.
What we did
We built a custom AI-powered scenario planner that automated the most time-consuming modeling work and let the team run and compare scenarios in real time — instead of waiting weeks for each iteration. The same rigor, a fraction of the time.
Results
-21%
Attrition reduction
Structured recruiting process
with stage-by-stage metrics
Hard-to-reach roles
filled faster
AI & Tech
04
3mo → 3wk
budget cycle reduction
Custom AI development — scenario planning
Situation
A client was losing people faster than they could replace them. The recruiting process was slow and inconsistent, onboarding was ad hoc, and poor-fit hires were compounding the turnover problem. It was expensive, demoralizing, and hard to fix without stepping back and looking at the whole system.
What we did
We rebuilt the talent infrastructure from the ground up — hiring frameworks, structured onboarding, and performance metrics that made it clear early when something wasn't working. The goal was fewer surprises and better outcomes at every stage of the talent lifecycle.
Results
3mo → 3wk
Budget cycle cut
Multiple scenarios modeled
in hours, not weeks
Higher leadership confidence
in budget decisions
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