Your Best People Are Not Doing Their Best Work.
That's what we fix.
I get your organization ready to take full value of AI.
People and organization readiness for AI, for mid-market operations, procurement, and HR leaders. Built by someone who ran $400M+ in indirect spend at a $13B semiconductor company.
AI should serve people, not replace them.
Start here. Free AI Readiness Assessment
"What percentage of your senior experts' week goes to repetitive work that does not need their expertise?"
Eight questions. Three minutes. You will get a score and a straight answer about where your time is going.
Time, intelligence, and margin.
Time.
Your experts get their week back for the work you hired them for.
Intelligence.
Better information at hand means better decisions, faster.
Margin.
Those two things together show up in the numbers.
Your Best People Are Deciphering When They Should Be Deciding
of expert time spent on tasks that don't require their expertise.
for new operational hires to reach autonomy. Institutional knowledge stays trapped in individuals, not systems.
of AI pilots ever reach production without operational architecture.
Meanwhile, Shadow AI is growing at 250% year over year inside your organization. Your people are already using AI tools you did not approve, with data you did not authorize, creating risk you cannot see. Organizations with unmanaged AI usage face $670K higher breach costs on average.
"What are the things that only YOU can do?"
If your highest-compensated people cannot answer that question clearly, the problem is not their capability. It is the operational design surrounding them.
How this works
Take the assessment, run the diagnostic, then adoption.
Start where your organization is. Every step is built on the same belief: AI should serve people, not replace them.
Step 1
Take the AI Readiness Assessment
Free. Eight questions. Three minutes.
You get a score and a straight answer about where your senior experts' time is going, including the Shadow AI risk most assessments miss.
Step 2
The Workflow Diagnostic
$7,500 fixed fee.
A two to three week look at one core workflow. We map how the work actually runs, show you where the low-value work concentrates and what it costs, and rank what to fix first.
Step 3
AI Edge Adoption
The full engagement. Engagements typically start at $50,000.
Get your organization ready to take full value of AI: workflow capture, a prioritized roadmap, people-first change management, governance, and the team training that makes it stick.
This is what low-value work looks like in practice.
SOW Contract Review, Three Layers of Value
Each SOW (30 to 80 pages) used to take senior contract specialists 4 to 8 hours of manual cross-checking. Across 150+ SOWs annually, that is 900+ expert hours spent on document comparison. Here is what changes when a Digital Associate runs the workflow.
Time Recovery
The same SOW workflow now runs through a Digital Associate that reviews each contract in 15 to 20 minutes instead of 4 to 8 hours. 900 hours of annual expert time compresses to under 50, about $55,000 in senior expert time recovered from one workflow.
Intelligence Uplift
The Digital Associate also runs cost analysis across rate cards, benchmarks pricing against historical SOWs, and surfaces negotiation tactics the specialist carries into supplier meetings. The freed-up time is spent on strategic negotiation, armed with better intelligence than manual prep could produce.
Hard-Dollar Savings (The Multiplier)
If a quote comes in 12% over market and a sourcing manager does not catch it because they are buried in manual review, the organization overpays. On a $500K SOW, that is $60,000 on one contract. Across 150+ SOWs per year, hard-dollar savings can dwarf the time recovery.
The senior expert did not lose their job. They got their expertise back, better tools to use it with, and are now producing outcomes that were not possible in the manual world. Time back. Smarter decisions. Money kept. That is the point of the work.
The Promise
What you leave with
- Measurable time and money recaptured from low-value work.
- Senior experts returned to the work they were actually hired to do.
- A governed, board-defensible AI position, not a hopeful one.
- Institutional knowledge preserved as a competitive moat instead of a retirement risk.
- A cultural transition where people feel empowered, not replaced.
Proof, not vendor case studies
What 25+ years inside a $13B operation produced.
$400M+
Indirect spend managed at NXP
Global Director of Indirect Procurement at NXP Semiconductors, including a 10,000-contractor contingent workforce program.
150+
SOWs / year reshaped
Contract review compressed from 4 to 8 hours down to 15 to 20 minutes per SOW.
Harvard
Agentic AI Intensive
Certificate of Completion, Harvard Data Science Initiative.
Full client case studies publish as engagements complete. Paula will share anonymized outcomes from current engagements on request during a fit call.
Common Questions
Start here
The questions Paula hears most often, answered without hedging.
Ready to see where your lost time and money are hiding?
Eight questions, three minutes. Or book a call. A conversation, not a pitch.