The control of in-house. The reach of a global partner.
MMCY recruits, hires, and manages the day-to-day employment of world-class talent, then embeds them in your team. You set the work, the messaging, and the KPIs. They answer to you.
Best of both worlds
Read the MMCY column top to bottom: it takes the best cell from each of the other two. The economics of outsourcing, the control of in-house.
| Traditional BPO | MMCY | In-house Hiring | |
|---|---|---|---|
| The talent | A vendor’s team, at arm’s length | Your team members, fully embedded | Your team members |
| Directs work, KPIs, messaging | The vendor | You | You |
| Hiring, payroll, people ops | The vendor | MMCY | You |
| Speed to scale | Fast | Fast | Slow |
| Your control of the talent | Limited | Full | Full |
MMCY = hiring, payroll, day-to-day people ops. You = work, messaging, KPIs. The clarity of that split is the point.
Two ways to buy the same world-class talent
Enterprises embed our people directly in their teams. BPOs buy the same people wholesale and run them under their own name. One vetting standard, one talent network, two commercial models.
Enterprises scaling teams
Add world-class CX, engineering, QA, or data talent that operates as your own, without the time, cost, and risk of building the hiring machine yourself.
BPOs sourcing talent
We’re the talent behind the outsourcers, too. When you need vetted professionals fast, we supply the people, you run the engagement.
AI-assisted screening, human final call
Most outsourcers still screen résumés by hand. We built an AI-assisted engine that reads, ranks, and shortlists candidates against the exact skills your role needs, then hands the finalists to a Talent Specialist.
AI handles the routine. People handle what matters.
The routine
Automation is absorbing the repetitive 70% of customer and back-office work. That’s a good thing.
Automation ▸ ◂ People
The high-stakes work that’s still human
The angry customer. The ambiguous edge case. The deal that turns on one conversation. That work belongs to people, and it should belong to people who answer to you, not a black box.
The better AI gets, the more the right people matter.
Building the AI itself? We place ML engineers, data engineers, LLMOps specialists, and AI QA testers, vetted through the same AI-assisted, ISO-certified process, and managed as part of your team.
Tell us the roles. We’ll embed the talent.
human-vetted, AI-accelerated, ISO-certified, embedded in your team, in days, not months.