Seldon Solutions | Workforce Management, Solved.
Accepting new engagements

Workforce management,
solved.

I combine mathematical precision with operational strategy to fix your capacity planning and scheduling. No guessing. No bloated tools. Just answers.

Adrien's experience includes
Stripe AWS Boeing T-Mobile Assembled TikTok
Capacity Matrix Optimized
Erlang C Match
99.8% Accuracy
$150k Saved
Q4 Projection
$10M+
Savings identified for clients
30%
Average efficiency gains
17+
Years of WFM expertise
The Problem

Capacity planning built on
gut feelings breaks.

Overstaffing on weekends. Burning out agents during spikes. Budgets nobody trusts. The same patterns show up in every org I audit.

Schedule Alignment
Static Dynamic
Required
Scheduled
Reactive hiring & static schedules

Decisions driven by last quarter's panic instead of next quarter's forecast. Headcount requests that finance doesn't trust.

Black-box Erlang calculators

Formulas nobody can explain, built on assumptions nobody validated. The three most common mistakes I find cost clients 15-25% in excess staffing.

Transparent, dynamic capacity models

Predictive modeling your finance team actually trusts. Flexible staffing that adapts to reality. Custom tools your team owns after I leave.

AI-aware workforce planning

When 20-60% of volume shifts to AI agents, your capacity model needs to account for new variables. I build the scenario models on your actual data.

Results

What happens after we work together.

"For over a year, our weekend staffing costs were a significant concern. Following Adrien's detailed analysis and optimization, we realized savings of tens of thousands of dollars in weekend staffing costs alone. All without an impact to service metrics."

🏢
VP of Operations
Global BPO

"Adrien's capacity simulation revealed we didn't need more heads. That single insight saved us ~$150k in unnecessary Q4 hiring costs."

🚀
Director of CX
High-Growth Fintech

"The custom-developed tools provided have been instrumental in enhancing our strategic planning capabilities."

📈
Head of Planning
Financial Services

"Our internal Erlang calculator was a black box that nobody trusted. Adrien didn't just fix the formulas; he built a transparent, dynamic model that our finance team actually trusts. We went from arguing about the budget to agreeing on it in minutes."

💻
WFM Manager
SaaS Company
The AI-WFM Bridge

AI is changing your workforce.
Your capacity plan should too.

Contact centers are investing heavily in AI, but most are failing to translate that into updated workforce plans. The result? Capacity models that assume a world that no longer exists.

80%
of common service issues predicted to be resolved by agentic AI by 2029 (Gartner)
66%
of businesses took 6+ months to see ROI from AI implementations (Verint)
56%
of companies reduced new agent hiring due to AI (Metrigy)

I help contact centers model exactly what happens to their staffing when 20%, 40%, or 60% of volume shifts to AI agents. Real scenario models built on your actual data.

Get an AI-Readiness Assessment
Services

Solutions for every stage.

Every engagement follows the same model: audit your data, build the strategy, deliver working tools, and train your team to own them.

📋

WFM Health Check

$1,500+ / fixed · 1-week turnaround

A rapid diagnostic across 8 dimensions of your WFM practice. You get a scorecard, a written assessment, and a prioritized action plan.

  • 2-hour deep dive session
  • 8-dimension WFM scorecard
  • Written assessment report
  • Prioritized action plan
Get Started
📊

Capacity Planning

Scoped per engagement · 4–8 weeks

A complete 12-month capacity model with staffing roadmap, financial impact analysis, and custom tools your team keeps.

  • 12-month capacity model
  • Staffing roadmap & hiring plan
  • Custom Excel/Sheets tools
  • Executive presentation & team handoff
Request Proposal
🤖

AI-Readiness Assessment

Scoped per engagement · 3–4 weeks

Model what actually happens to your staffing when AI handles a chunk of your contacts. Scenario models built on your data.

  • AI deflection scenario model
  • Revised capacity plan
  • True cost-per-contact with AI
  • Transition roadmap & risk assessment
Learn More
🎓

Fractional WFM Director

Starting at $5K/month · 3-month minimum

Ongoing capacity management, hiring season oversight, team coaching, executive reporting, and AI transition guidance.

  • Ongoing capacity management
  • Hiring season oversight
  • Team coaching & development
  • Executive reporting & AI guidance
Discuss Retainer

I work with your existing stack — Assembled, NICE, Verint, Genesys, and more — or even spreadsheets. No forced migrations.

Adrien Seldon
About

Adrien Seldon

Founder & Principal

For over 17 years, I've worked behind the scenes of high-volume support centers at companies like Stripe, AWS, and Boeing. I've seen the same pattern everywhere: teams running on gut feeling rather than data. I founded Seldon Solutions to bring enterprise-grade workforce management science to teams that need it most.

🎤
4x Speaker at SWPP Annual Conference
Nashville — 2022, 2024, 2025, 2026
🔒
Local-first data processing
All client data processed on local hardware using locally-hosted AI models. Zero cloud transmission to third-party AI providers.
$10M+
Savings Identified
30%
Efficiency Gains
17+
Years Experience
Resources

WFM Insights & Guides

Practical frameworks from 17+ years in the field. No fluff.

Capacity Planning

How to Build a 12-Month Contact Center Capacity Plan

The step-by-step methodology I use with every client. What goes into it, where most plans fail, and when to bring in help.

Read Guide
Erlang C

Why Your Erlang C Calculator Is Lying to You

The three most common formula mistakes I find in client capacity models.

Read Article
AI + WFM

Capacity Planning When 30% of Volume Goes to Bots

What actually changes in your staffing model when AI handles a chunk of your contacts.

Read Article
FAQ

Common Questions

Do I need to switch my current WFM software? +
No. I work with your existing stack — Assembled, NICE, Verint, Genesys, and more — or even spreadsheets. The goal is to optimize your processes and logic, not force a migration.
What is the typical ROI? +
Most clients see a return within the first 30 days. By identifying overstaffing leaks and optimizing schedule adherence, projects typically pay for themselves 10x over in annual savings.
How long does an initial audit take? +
A typical Discovery Audit takes 2–3 weeks. I'll need access to your historical volume data and current schedules. You'll receive a comprehensive findings report and a prioritized roadmap.
How do you handle client data security? +
All client data is processed on my local hardware using locally-hosted AI models. There is zero cloud transmission of your data to third-party AI providers. Your staffing numbers, volume data, and financial information never leave my machine.
How does AI change what I need from a WFM consultant? +
AI doesn't reduce the need for workforce planning — it makes it more complex. When 20–40% of volume shifts to AI agents, your capacity model needs to account for new variables: AI supervision tasks, shifted complexity profiles, different handle time distributions, and revised shrinkage assumptions. My AI-Readiness Assessment models all of this on your actual data.
Do you offer long-term retainer options? +
Yes. While many engagements start with an audit and roadmap, I often stay on as a Fractional WFM Director to oversee execution, hiring seasons, and team development.
Get Started

Let's look at
your numbers.

Whether you need a quick diagnostic or a full engagement, it starts with a conversation about your data.

Project Inquiry

Tell me about your situation and I'll reach out.

All client data processed locally. Zero cloud transmission.