Why companies choose us
You have options for getting AI into your workforce operations. Here’s how we compare — and why the companies we work with chose us.
| Antoine Nehme | Full-Time Hire | Big Consultancy | DIY / ChatGPT | |
|---|---|---|---|---|
| Time to first result | 2–4 weeks | 3–6 months | 2–3 months | Ongoing |
| Cost | Fixed per workflow | $180K–$250K/yr | $500+/hr | Free (your time) |
| Who does the work | Senior practitioner | Depends on hire | Junior team | Your team |
| Governance & compliance | Included | If they know how | Extra engagement | You figure it out |
| Training | Role-specific | Ad hoc | Generic workshop | Self-taught |
| Ongoing dependency | None — you own it | On one person | On their team | None |
| Scales across firm | Yes | Slowly | Yes (at cost) | Rarely |
vs. Hiring an AI person
A senior AI hire with workforce domain knowledge costs $180K–$250K/year, takes months to find, and even longer to deliver results. You need someone who understands both AI and people operations — that’s a rare and expensive profile.
vs. Big consultancies
McKinsey, Deloitte, and Accenture have workforce analytics practices — but they target companies with $1B+ revenue and send teams of juniors armed with generic frameworks. A 500-person manufacturer isn’t on their radar.
vs. DIY with spreadsheets and BI tools
Spreadsheet models and BI dashboards are a start — but they report on the past, not the future. They break when someone leaves, require manual updates, and can’t surface patterns in data at the scale that predictive models can.
vs. Other AI consultants
Most AI consultants learned ChatGPT and now pitch automation to anyone who will listen. Almost none have built actual workforce planning systems inside real organizations. We have.
See where AI fits in your workforce operations
30-minute discovery call. We’ll walk through your staffing challenges and show you where AI has the highest impact. No pitch deck.
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