Welcome

  • HR in the age of AI

    AI is transforming work at every level. At People-AI-HR, we help HR leaders bridge this change—ensuring your HR function can support employees, deliver on the CEO’s agenda, and execute business strategy with confidence.
     

Integrate AI
the right way.


AI isn’t exposing one gap in HR.
It’s exposing six.

AI isn’t exposing one gap in HR.
It’s exposing six.

Gartner estimates that roughly 60% of AI projects do not reach real production.

Not because the technology failed, but because the organization wasn’t ready.

Working closely with you, People-AI-HR will help you win executive support and build lasting employee trust by bridging each the following critical gaps:

Data Quality

Vendor Selection & Coordination

Employee Capacity & Adoption

AI Governance

Manager Role

 Read the deep-dive Insight series:
The Six Company Readiness Gaps AI Is Exposing, and
Why They All Lead to HR

Sprint 01

Free the Knowledge

70–80% of how your organization actually works isn’t written down anywhere — it lives in the heads of your most experienced people.

When AI hits those undocumented steps it stalls, and the bottleneck lands on the people you can least afford to lose.

56% of employees already fear for their jobs. “Document your expertise” sounds to them like “train your replacement.”

Working closely with you, People-AI-HR will:

  • Redesign one high-value workflow for AI and humans, with a measured before/after
  • Capture the judgment calls and exceptions that live only in people’s heads
  • Turn knowledge-holders into architects—without asking them to document themselves out of a job

Sprint 03

Own the Architecture

Your next HRIS renewal (Workday, Microsoft, or ServiceNow) will include an AI layer that aims to control your employees’ workflow.

If HR isn’t ready for that conversation, you’ll have agreed to an architecture that shapes how your people work for the next decade — and undoing it costs far more than getting ahead of it.

In four weeks, you make the call deliberately — on your terms, before the renewal forces a default.

Working closely with you, People-AI-HR will deliver:

  • A map of every AI-enabled system in your stack — integration status, contract timing, and where lock-in is already forming
  • A defended front-door decision — which system is your authoritative HR interface, with the rationale IT, Legal, and Finance can align behind
  • Integration standards every new tool must clear before it enters your stack — so you set the terms, not the vendor

Sprint 05

Set the Rules

AI is moving into HR workflows faster than the rules that should govern it.

Even in early pilots, the time to decide who can authorize what — and how it gets explained and audited — is before an agent is embedded, not after it influences a hiring or pay decision no one can explain or defend.

This isn’t a binder on a shelf. It’s a working model your HR, Legal, and IT teams can actually run.

Working closely with you, People-AI-HR will deliver:

  • A decision-rights framework: which AI calls need human sign-off, which run autonomously, and who’s accountable
  • An explainability standard and audit cycle, so people see how AI decides, and the discipline holds as you scale
  • A regulatory gap assessment: your high-risk HR uses mapped to the rules that apply to you, ready for Legal to validate

Sprint 02

Rewire the Data

Ask your CHRO and CFO separately how many people work at your company. You’ll often get two different numbers.

Harmless when a person reads it, dangerous when AI does. It returns confident answers built on broken data—and you carry them to your CEO.

~60% of AI projects fail in production. Not the technology—the data.

This isn’t a data-cleaning exercise—and it isn’t an 18-month replatform. We design the architecture; your team builds from it.

Working closely with you, People-AI-HR will deliver:

  • A scored readiness map across your five HR data dimensions
  • A wiring-failure map—which broken connections hurt which AI use cases, and what to fix first
  • The target architecture and governance your AI investments actually need to deliver

Sprint 04

Fix Your AI Output

Your people want AI to work—84% say they’re eager to use it. But most were handed the tools without the time, training, or norms to use them well.

So they improvise in private and produce workslop: output that looks productive but erodes quality and trust, surfacing later as rework, slower review cycles, and the flat results your CEO asks about.

This isn’t another training rollout. We replace ‘DIY AI’ with norms, proof, and people who sustain it.

Working closely with you, People-AI-HR will deliver:

  • A working-norms playbook: when AI drafts, when a human decides, and what data it never touches
  • One real workflow, redesigned and measured: clean before/after proof, rated by review, not self-report
  • Trained “Collaboration Architects”: your own people, equipped to keep the norms alive and run the next workflow without us

Sprint 06

Redefine the Manager Role

Your managers are now being asked to lead teams that are part human, part software — but no one has redefined the job to match.

Most absorb the change as personal exhaustion — and the bench behind them is backing away: 63% of non-managers now say they don’t want the job.

This isn’t a leadership workshop with an AI module bolted on. We redesign the job itself.

Working closely with you, People-AI-HR will deliver:

  • A capability map: the skills managing human + AI teams now demands, scored against where your managers stand
  • A redesigned manager role and performance standards: what the job is now, and what “good” looks like
  • A trained pilot cohort proving the new role works—a job people can succeed in, and actually want

Take our FREE AI-Readiness Assessment Survey and find out within minutes where you are and where you need to improve.

Sprint 01

Free the Knowledge

70–80% of how your organization actually works isn’t written down anywhere — it lives in the heads of your most experienced people.

When AI hits those undocumented steps it stalls, and the bottleneck lands on the people you can least afford to lose.

56% of employees already fear for their jobs. “Document your expertise” sounds to them like “train your replacement.”

Working closely with you, People-AI-HR will:

  • Redesign one high-value workflow for AI and humans, with a measured before/after
  • Capture the judgment calls and exceptions that live only in people’s heads
  • Turn knowledge-holders into architects—without asking them to document themselves out of a job

Sprint 02

Rewire the Data

Ask your CHRO and CFO separately how many people work at your company. You’ll often get two different numbers.

Harmless when a person reads it, dangerous when AI does. It returns confident answers built on broken data—and you carry them to your CEO.

~60% of AI projects fail in production. Not the technology—the data.

This isn’t a data-cleaning exercise—and it isn’t an 18-month replatform. We design the architecture; your team builds from it.

Working closely with you, People-AI-HR will deliver:

  • A scored readiness map across your five HR data dimensions
  • A wiring-failure map—which broken connections hurt which AI use cases, and what to fix first
  • The target architecture and governance your AI investments actually need to deliver

Sprint 03

Own the Architecture

Your next HRIS renewal (Workday, Microsoft, or ServiceNow) will include an AI layer that aims to control your employees’ workflow.

If HR isn’t ready for that conversation, you’ll have agreed to an architecture that shapes how your people work for the next decade — and undoing it costs far more than getting ahead of it.

In four weeks, you make the call deliberately — on your terms, before the renewal forces a default.

Working closely with you, People-AI-HR will deliver:

  • A map of every AI-enabled system in your stack — integration status, contract timing, and where lock-in is already forming
  • A defended front-door decision — which system is your authoritative HR interface, with the rationale IT, Legal, and Finance can align behind
  • Integration standards every new tool must clear before it enters your stack — so you set the terms, not the vendor

Sprint 04

Fix Your AI Output

Your people want AI to work—84% say they’re eager to use it. But most were handed the tools without the time, training, or norms to use them well.

So they improvise in private and produce workslop: output that looks productive but erodes quality and trust, surfacing later as rework, slower review cycles, and the flat results your CEO asks about.

This isn’t another training rollout. We replace ‘DIY AI’ with norms, proof, and people who sustain it.

Working closely with you, People-AI-HR will deliver:

  • A working-norms playbook: when AI drafts, when a human decides, and what data it never touches
  • One real workflow, redesigned and measured: clean before/after proof, rated by review, not self-report
  • Trained “Collaboration Architects”: your own people, equipped to keep the norms alive and run the next workflow without us

Sprint 05

Set the Rules

AI is moving into HR workflows faster than the rules that should govern it.

Even in early pilots, the time to decide who can authorize what — and how it gets explained and audited — is before an agent is embedded, not after it influences a hiring or pay decision no one can explain or defend.

This isn’t a binder on a shelf. It’s a working model your HR, Legal, and IT teams can actually run.

Working closely with you, People-AI-HR will deliver:

  • A decision-rights framework: which AI calls need human sign-off, which run autonomously, and who’s accountable
  • An explainability standard and audit cycle, so people see how AI decides, and the discipline holds as you scale
  • A regulatory gap assessment: your high-risk HR uses mapped to the rules that apply to you, ready for Legal to validate

Sprint 06

Redefine the Manager Role

Your managers are now being asked to lead teams that are part human, part software — but no one has redefined the job to match.

Most absorb the change as personal exhaustion — and the bench behind them is backing away: 63% of non-managers now say they don’t want the job.

This isn’t a leadership workshop with an AI module bolted on. We redesign the job itself.

Working closely with you, People-AI-HR will deliver:

  • A capability map: the skills managing human + AI teams now demands, scored against where your managers stand
  • A redesigned manager role and performance standards: what the job is now, and what “good” looks like
  • A trained pilot cohort proving the new role works—a job people can succeed in, and actually want

Take our FREE AI-Readiness Assessment Survey and find out within minutes where you are and where you need to improve.

Schedule a conversation with founder Dirk Petersen to explore how your HR team can bridge People, AI, and HR for lasting advantage.

Frequently Asked Questions (F.A.Q.)

Understanding the Six-Gap Approach

What do you mean by “six gaps,” and why do they matter?

AI isn’t exposing one weakness in HR — it’s exposing six: Knowledge & Process, Data, Vendor Coordination, Capacity (Adoption), Governance, and Managers.

Gartner estimates that roughly 60% of AI projects never reach real production—not because the technology fails, but because the organization wasn’t ready.

Each gap is one of those readiness conditions. They are also interdependent: fixing your data won’t stop “workslop,” and capturing undocumented knowledge stalls if your governance is itself ungoverned.

We help you close the gaps in a sequence your CEO and CFO can measure, so pilots finally convert into bottom-line impact.

 Read the deep-dive Insight series:
The Six Company Readiness Gaps AI Is Exposing, and
Why They All Lead to HR

Why does closing these gaps fall to HR rather than IT or the CEO?

Because each gap is, underneath, a people problem: knowledge and identity, data discipline, employee experience, capacity and trust, decision rights, and manager capability.

IT’s ownership ends at the platform layer. The CFO sees the outputs but not the operating state behind them. The CEO has ten functions to integrate and can’t personally inherit this one.

The CHRO is the only executive whose remit spans all six — which is why MIT Sloan frames HR as either the architect of AI transformation or the cleanup crew for it.

Who is behind People-AI-HR?

People-AI-HR was founded by Dirk Petersen. For more than 30 years, Dirk has helped HR leaders deliver measurable business results through their people — from hands-on entrepreneurial leadership to senior HR roles at the World Bank, Gartner, and Insight222. The throughline has always been the same: helping HR enable leaders and employees to achieve more together. When you engage us, you work directly with that level of experience — not a junior delivery team.

Learn more about Dirk and People-AI-HR →

How does your TRUST methodology work?

TRUST stands for Target, Research, Understand, Scale, Train. It’s our structured approach to combining your business goals, rigorous diagnostic work, human-centered adoption, scalable pilots, and lasting capability-building. Every engagement is shaped through this lens, so what you get is sustainable change your team can re-apply as AI evolves—a method you own, not a dependency on us or any single vendor.

How We Work→

How do you avoid over-promising or relying on “black box” AI?

We lead with transparency, explanation, and human oversight. We don’t build proprietary algorithms you can’t inspect; we use explainable tools and frameworks, and always keep HR in the loop interpreting, validating, and applying results. We work with your existing data sources and vendors rather than replacing them wholesale. And we scope every engagement as a fixed, finite sprint with defined deliverables — so the value is concrete and provable, not asserted.

How We Work →

Is This a Fit for Us?

What kinds of organizations do you work with?

We focus on mid-sized and growth-stage enterprises (roughly 200 to 5,000 employees) that are ready to embed AI into their HR function. The partnership works best when HR has executive sponsorship and at least basic foundational data in place. That said, “not ready yet” is rarely a reason to wait: the Six-Gap Readiness Scan is a diagnostic designed precisely to tell you where you stand and what to do first.

The Six-Gap Readiness Scan→

Which regions do you work in?

We’re based on the U.S. East Coast and work primarily with U.S. organizations, with occasional support for DACH-based firms (Germany, Austria, and Switzerland). The U.S. focus matters for AI in HR, because the regulatory ground is already shifting under employers’ feet. New York City’s Local Law 144 has required bias audits of automated hiring tools since 2023; Illinois’s amended Human Rights Act took effect in January 2026; and Colorado’s AI Act — the first comprehensive U.S. state framework covering high-risk employment AI — takes effect on June 30, 2026, with Texas, California, Connecticut, and more than a dozen other states close behind. Federal anti-discrimination law (Title VII, ADA, ADEA) already reaches AI-driven decisions regardless of state.

We help you build governance to a “highest common denominator,” so you’re defensible across this patchwork rather than scrambling jurisdiction by jurisdiction.

Governance: Set the Rules Before You Scale→

What if our AI readiness is lower than we’d like?

That’s common—and it’s exactly what the Six-Gap Readiness Scan is for. If your HR or data readiness isn’t there yet, we typically start with the foundational gaps, build capability, and scale into more advanced work once the base is stronger. You don’t need to be “AI-ready” to begin. You need to be ready to find out where you stand.

The Six-Gap Readiness Scan→

Who from our side needs to be involved?

Engagements are deliberately lean. Expect a few hours of executive time for alignment, focused working sessions with the relevant members of your HR team, and short, modular involvement from managers where a workflow touches them. We design around your team’s bandwidth so the work builds capability without overwhelming daily operations. The one ingredient that matters most is executive sponsorship—usually the CHRO.

How We Start & What You Get

What exactly is the Six-Gap Readiness Scan, and what do I walk away with?

The Six-Gap Readiness Scan is a three-week, fixed-fee diagnostic across all six gaps, and the entry point to every engagement. You receive a scored readiness assessment — a heat map across all six dimensions — benchmarked against our network of CHRO engagements and published research from BCG, EY, Harvard, and the World Economic Forum; a prioritized action plan with the rationale for what to tackle first; and a ready-to-execute first-workflow playbook. The deliverable is a decision, not a recommendation: a clear, evidence-based answer to “where do we start?”

The Six-Gap Readiness Scan→

How is the Six-Gap Readiness Scan different from the free 5-minute survey?

The free survey on our site gives you a quick, self-assessed readiness score to start the conversation. The Six-Gap Readiness Scan is the rigorous, benchmarked diagnostic behind it: where the survey produces a rough score in five minutes, the Scan produces a board-ready sequencing decision and a first-workflow playbook over three weeks. Think of the survey as the doorway and the Six-Gap Readiness Scan as the room behind it.

Our FREE AI-Readiness Assessment Survey→

The Six-Gap Readiness Scan→

Do we need clean data or historical metrics to start?

No. Where the data isn’t there, we build a baseline from proxy signals — things like error corrections, review cycles, and time-to-approval — measured over the first weeks. That baseline becomes your comparison point going forward, so you can prove impact even when you’re starting from a standing stop.

What if our processes aren’t clearly defined or documented?

Almost no organization’s are, and that’s not a disqualifier; it’s the starting point. Research puts 70–80% of how an organization actually works in the heads of experienced people rather than in any document. That undocumented judgment is exactly where AI stalls: agents freeze at steps no one wrote down and bounce every exception back to your most senior people. Surfacing and redesigning those processes is core to the Knowledge Architecture sprint (Sprint 01). We don’t expect clean documentation going in—capturing and rebuilding it is part of the work, and we do it without asking your experts to document themselves out of a job.

Sprint 01—Knowledge Architecture: The Hidden Cost of Undocumented Expertise→

What’s the right sequence to close the gaps — and will the Six-Gap Readiness Scan tell us to buy every sprint?

No: the deliverable is a sequence, not a shopping list. Frequently the answer is one sprint, not six.

The six gaps aren’t a staircase; they’re a system, and three forces set the order for any given company: dependency (you can’t govern decisions you haven’t mapped, over data you can’t trust), severity (which gap is most broken), and timing (a contract renewal or a new state AI law taking effect doesn’t wait for your readiness).

Those forces point to a different starting gap for a 400-person growth firm than for a 5,000-person regulated enterprise. Anyone who hands you a fixed sequence before measuring your organization is selling you their methodology, not your readiness—which is exactly why every engagement starts with the Six-Gap Readiness Scan.

The Six-Gap Readiness Scan→

The Engagement Model

Can we buy a single sprint, or sequence several?

You can do either. Each of the six gap sprints has fixed scope and a fixed fee, so you can run one on its own (many engagements are exactly one sprint) or sequence several in the order your Six-Gap Readiness Scan recommends. You’re never committing to all six at once; you’re committing to the next right step, with the evidence to know what that step is.

The Six-Gap Readiness Scan→

What’s your role versus ours?

You retain ownership throughout. We are your advisor, guide, and capability-builder — not an outsourcing contractor for your core HR operations. Our job is to hand you reusable frameworks, analytic insights, trained internal champions, and governance tools, together with the method to re-apply them. You walk away with capability, not a dependency on us.

Do you build the AI and technology, or advise us?

We deliver the architecture, frameworks, and governance; your team — or your existing vendors — executes the technology build. In a Data Foundation sprint, for example, we design the target data model and the governance that keeps it sound; we don’t replatform your HRIS. This keeps engagements fast and fixed-fee, keeps you in control of your own stack, and avoids locking you into anyone’s proprietary system. We are deliberately not a systems integrator.

How much time will this require from our HR team and managers?

Engagements are designed to be lean: a few hours of executive time for alignment, a handful of focused workshops for the HR team, and short, modular involvement from managers. We balance ambition with bandwidth so adoption doesn’t overwhelm daily work — because a change your people can’t absorb isn’t a change that lasts.

Trust, Data & Compliance

What happens to our data, and is it secure?

Most of the engagement runs through live working sessions over Zoom or Teams (interviews, system walkthroughs, and co-design) where we review your data with you rather than taking custody of it. Some work, the Data Foundation diagnostic in particular, does require analyzing real records to map where your systems break and where data quality falls short.

For that we follow three rules:

  1. We work from the minimum data needed: samples, aggregates, and de-identified extracts wherever they’ll do the job;
  2. We handle it the way you require: inside your own environment where you prefer, or via secure, access-limited transfer you control;
  3. We retain nothing beyond the engagement — your raw data is never shared with another client, never surfaced in identifiable form, and deleted on completion.

Only anonymized, aggregated patterns ever inform our benchmarking. Our methods are deliberately lightweight and explainable, which keeps the amount of sensitive data that has to move to a minimum in the first place.

You benchmark us against other organizations — is our data kept confidential?

Yes, absolutely. Benchmarking is built on aggregated, anonymized patterns and published research—never on any individual client’s identifiable data. Nothing you share is exposed to another organization, and no individual data is ever shared. The benchmark gives you useful network context; it never costs you confidentiality.

Do you provide legal compliance opinions, and what about regulatory exposure?

We are not a law firm and do not issue legal opinions. What we deliver are HR-specific governance frameworks, decision-rights structures, explainability standards, and audit protocols that align with best practice and today’s regulatory requirements—from NYC’s bias-audit rule and Colorado’s AI Act to the federal disparate-impact exposure that applies regardless of state, and the EU AI Act where you operate in Europe—all built for your legal or compliance team to validate.

The Six-Gap Readiness Scan flags where a governance gap creates regulatory risk and weights your sequence accordingly; the deeper work happens in the Governance Architecture sprint. The result is defensible structure you can operate, not a compliance certificate.

The Six-Gap Readiness Scan→

Governance: Set the Rules Before You Scale→

How do you handle employee skepticism or resistance to AI?

We build trust by involving employees early, co-creating use cases, and being transparent about what AI will and won’t do—emphasizing AI as assistant, not replacement. Crucially, we address the real driver of resistance head-on: the fear of becoming obsolete. Rather than ask your most experienced people to document themselves out of a job, we reframe them as the architects who train and govern the system. Adoption that ignores that fear stalls; adoption that addresses it sticks.

Investment & Impact

How do you price engagements?

Everything is fixed scope and fixed fee—no open-ended billing. The Six-Gap Readiness Scan is a fixed-fee, three-week diagnostic; each gap sprint is individually priced by its scope and duration (four to eight weeks). You’ll know the investment before you commit, and you can start small with the Six-Gap Readiness Scan before deciding what, if anything, comes next. We’ll walk through the specific numbers for your situation in an initial conversation.

The Six-Gap Readiness Scan→

How are you different from a Big-4 or generalist consultant?

Three ways:

  1. First, you work directly with a senior practitioner doing the actual work — not a partner who sells and a junior team that delivers.
  2. Second, we’re agile and flexible: fixed, finite sprints scoped to your reality, not an eighteen-month framework rollout.
  3. Third, we use AI within our own work to compress the time and cost of every engagement and to sharpen the outcomes.

The result is Fortune-100-grade thinking delivered at the speed, flexibility, and cost a mid-sized HR function can actually use.

How do you demonstrate impact to the C-suite?

We track both quick wins (error reduction, faster cycle times, fewer HR touchpoints…) and strategic outcomes like adoption, productivity, and employee sentiment. These are presented in executive scorecards and dashboards, so your CHRO, CFO, and CEO see a clear line from the work to business results. Where you lacked a baseline, we built one at the start, so the before-and-after is clean and attributable.

How do you make sure adoption scales beyond pilots?

We embed adoption into daily workflows through shared norms, trained internal “Collaboration Architects,” and leader-led routines — so AI use becomes part of how managers and teams actually work, not a side project that fades when the pilot ends. And because we hand you a replication playbook, your team can run the same activation on the next workflow without us. The goal is a repeatable internal capability, not a one-time success you can’t reproduce.