Give your best people back to the mission.
Too many mission-driven teams spend their best people on workarounds and spreadsheets instead of the job they were hired for. We design or redesign your people workflows, then build AI and tools customized and shaped to how your team actually works, aimed at the result you care about: getting there faster, at lower cost, or with more impact.
We work with nonprofits, schools, and growing companies whose people teams are stretched. You're likely a good fit if:
- Recurring work takes too much timeHiring, onboarding, performance reviews, or offboarding are a few examples that depend on manual follow-ups, spreadsheets, and the same work done over and over.
- You know what needs fixing, but lack the capacityYour team needs faster, more consistent processes, but day-to-day demands leave little time to improve them.
- You have AI tools, but can't yet show the valuePeople use AI in different ways, without shared practices or clear measures of whether it's saving time or improving results.
- Or you need help getting startedYou want hands-on support to choose a useful first workflow, put AI into practice, and measure results you can show your leadership.
95% of AI pilots fail to deliver a return. We help you be in the 5% that do.
Most teams either use the AI that comes with their HR system, which is built for thousands of companies, or have people each using AI their own way, with no shared approach. Then, they can't articulate how AI is actually helping them realize stronger outcomes or cost savings.
The problem isn't AI. Most organizations never define the outcome they actually want. They don't do the work of redesigning the workflow for both AI and human judgment. And they skip the change management it takes to get staff using AI consistently and with integrity. Worst of all, they bolt AI onto everything before they've proven it works on one workflow that reduces cost or adds measurable impact.
We start with the outcome
Most people processes already have a number attached, but it usually counts effort, not results. We help you rebuild the workflow around the result that matters to your leadership.
We write down where it stands today and measure it again after, so you can show exactly what the work was worth.
We help you find where AI actually pays off first. We offer support in three steps, and you can stop after any of them.
Our approach draws on the Harvard Data Science Initiative's program in agentic AI and twenty years of making the people decisions it supports. Whatever we fix, we write it so AI can run it later, when you're ready. You own what we build, and we train your team to run it.
We look at a whole area, like hiring or performance reviews, and show you what's working, what isn't, and where work is still done by hand. You get a list ranked by what's most urgent and what's costing you the most.
Together we pick the one process that matters most and redesign it step by step. You get a simpler process, written down, that works better right away.
When you're ready, we build the tool or AI agents that run it. A person approves every high-stakes decision. We train your team and track the time and money it saves.
How we decide what to build
Before we build anything, we ask two questions:
If the answer to both is yes, we build it. Most builds take 4 to 8 weeks, including two rounds of feedback from your team on real work.
Which talent workstream is your biggest pain point?
Pick the stage of your talent work that keeps you up at night, and see if it’s ready for an AI agent or tool we can build for you.
Two people-executives. Four decades of talent leadership.
We both build across the full stack, the infrastructure underneath a talent function and the AI agents that run the decisions on top of it. Every engagement draws on whichever of us fits what's actually costing you money.
First CPO at a scaling B Corp, 65 to 378 people in about a year. Five years as first Chief Talent Officer of a multi-state school network. Director of Talent at a large charter network hiring 1,000 people a year. Columbia, M.S. in Human Capital Management. Former Navy SEAL.
fullstacked.ai →
VP Talent at the largest national charter school network, where she built and validated a portfolio of AI agents for role banding and workforce decisions, each tested against senior HR judgment. Led an 18-person recruiting team at Teach For America, hiring 800 to 1,000 people a year nationally. Started in research at CEB: five published titles, 200+ analyses.
thereagentco.com →Start with one conversation.
Tell us the process that's costing your team the most. We'll tell you honestly where to start, even if the answer is that you don't need us yet.