An agent stack for staying ahead of a fast-moving industry

ManpowerGroup operates at the centre of one of the biggest shifts in the world of work in a generation. AI is rewriting how organisations hire, upskill, and deploy talent, and the pace of change is only accelerating.

For a leadership team operating at that scale, the challenge is not access to information. It is making sense of it quickly enough to act.

• The signals that mattered were fragmented across thought leaders, competitors, AI developments, and workforce sources.
• Executives did not need more information. They needed the right information, filtered, clustered, and delivered in a form they could actually use.
• Like many large enterprises, ManpowerGroup did not just want insight. They wanted to build the muscle of running agents inside the business as a repeatable capability.

Ghost Team built ManpowerGroup's agent stack end-to-end, spanning strategy, architecture, and ship. The result is a custom intelligence system that runs every day.

The stack listens across the industry, identifies what is actually cutting through, clusters related conversations into themes, and surfaces emergent signals that were not yet on the radar.

• Leadership receives a live, progressive brief of what the industry is talking about, what is gaining momentum, and what is genuinely new.
• The system is made up of cooperating agents that scrape, score, cluster, and classify on ManpowerGroup's behalf.
• The stack was designed as production infrastructure owned by the business rather than as a one-off AI experiment.

ManpowerGroup is no longer just reacting to change in their industry. They now have agents doing the listening so leaders can focus on what to do about it.

• Leadership now has a daily pulse on a fast-moving industry without anyone chasing updates manually.
• Emergent signals that once took weeks to surface through analyst cycles are now visible the day they appear.
• ManpowerGroup now has a live agent stack running inside the business, proving that this way of working is real, reliable, and repeatable.
• The stack is a platform rather than a project, with room to extend into new intelligence surfaces, new agents, and new use cases.