of CHROs rank AI and digitization as a top priority.
For CHROs, HR heads, and GCC people leaders
Your company bought the AI tools. Your people function hasn't changed.
91% of CHROs call AI their top priority. 39% have actually deployed it. The gap is not software: it's leadership, redesign, and adoption. Closing that gap is the job we do: workshops that convince, sprints that ship working pilots, and a fractional People-AI Officer to run the change.
Led by an ex-consultant and INSEAD MBA with 15+ years driving HR and organisation transformations, who builds production AI systems. Bangalore-based, serving GCC and US time zones.
The adoption gap
The numbers your board has already seen.
of HR leaders plan agentic AI inside 12 months.
of HR activity is automatable; leading analysts expect HR orgs to restructure 30–40% of roles.
have actually deployed AI in HR. The gap between intent and reality is the market's biggest open advantage.
91%
of CHROs call AI their top priority.
39%
have actually deployed it.
The adoption gap
Every quarter the gap stays open, it compounds, in someone else's favor.
Book the Readiness IntensiveThe destination
What an AI-native people function looks like.
Agent-assisted talent acquisition
Sourcing, screening, and scheduling run by agents; recruiters do judgment, relationships, and closing.
AI-literate HR business partners
Every HRBP ships work with AI daily (drafting, analysis, employee comms) at a visibly different speed.
Answers in minutes
People analytics that responds to real questions (attrition risk, comp equity, span of control) without a two-week ticket.
Governance that survives an audit
Bias testing, disclosure, and documentation for every algorithm that touches a hiring or promotion decision.
An org redesigned around judgment
Admin shrinks. Advisory grows. The function gets smaller, senior, and more strategic.
This is not a tool purchase. It's an operating-model change, and someone has to lead it.
Three engagements
Convince. Build. Run.
The People-AI Readiness Intensive
Half-day · your leadership room
- AI-maturity diagnostic across your people function
- Live demos of working agents, not vendor slideware
- A prioritized 90-day map your team keeps
- Fee credited in full against a Sprint
The TA Transformation Sprint
4 to 6 weeks · one workflow
- Redesign one talent workflow end-to-end
- A WORKING pilot shipped: screening agent, scheduling automation, or structured-interview AI
- Change plan and adoption playbook for the team
- Metrics baseline: cost-per-hire, time-to-fill, quality-of-slate
Fractional People-AI Officer
2 to 4 embedded days per month · 2 seats per quarter
- 2–4 embedded days per month
- Owns the roadmap, vendor bake-offs, and governance
- Quarterly board-ready readout
- Your team learns to run it, we design ourselves out
AI does the work. A senior People leader signs off.
The beachhead
Start where the ROI is a number, not a vibe.
Talent acquisition is the one people-workflow where AI's impact lands directly in CFO language: adopters report 20–30% lower cost-per-hire, screening time collapses from days to minutes, and slate quality becomes measurable instead of anecdotal. One funnel, ninety days, a number your CFO respects, that's how transformation earns the right to continue.
The vendor gap
Your ATS or interview-AI vendor sells software and leaves. Implementation stalls in change management: recruiter adoption, hiring-manager trust, candidate experience. That last mile is exactly what the Sprint owns.
Not slideware
We don't demo decks. We demo systems.
The founder builds production AI: a voice-based interview and assessment engine that has run thousands of scored interviews for candidates targeting the world's most selective employers. When we say a screening agent can hold a structured conversation and produce a defensible rubric score, we show you ours.
- 1,000+ candidates assessed
- Voice-native, multi-turn, interruption-capable
- Every conversation produces an auditable score
The second door
If AI touches hiring, it's now a regulated system.
NYC Local Law 144
Annual independent bias audits for automated employment decision tools, with penalties that accumulate daily.
EU AI Act
Hiring and promotion AI is classified high-risk. Obligations are live as of August 2026 for systems serving EU candidates.
India DPDP
Consent, purpose limitation, and data-handling duties for every candidate record your agents touch.
Who you work with
One senior operator. No juniors on your account.
Ashwin is an ex-strategy consultant (INSEAD MBA) with 15+ years driving HR and organisation transformations across consulting and technology, and an AI founder who ships production systems, including the assessment engine you will see in the demo. He has trained 1,000+ professionals and facilitated leadership rooms from Bangalore GCCs to global teams.
I started this practice because I kept watching the same failure: companies buying AI tools for the people function and changing nothing about the function itself. The technology was never the hard part. The operating model is. That's the work I do, personally, in your room.
First engagements now booking.
This practice publishes only real, verifiable client outcomes. As pilot engagements complete, their results appear here, named with permission. Until then: the founder has trained 1,000+ professionals and ships the AI systems you will see demonstrated live.
Points of view
Category notes.
The People-AI Officer: the role your org chart is missing
Someone must own the roadmap, the governance, and the adoption. Today, in most companies, nobody does.
Every technology wave creates a role the prior org chart did not have. ERP produced the CIO. Digital produced the CDO. AI is producing something narrower: an officer who owns how a function actually changes. In the people function that role is not optional. AI now sits inside hiring, promotion, and employee decisions: regulated work that also determines whether HR becomes smaller and more senior, or merely more expensive. Someone must own the roadmap, run honest vendor bake-offs, install bias testing and disclosure before a board asks, and sit with recruiters until the new way of working is the default. Today that someone does not exist. The CHRO cannot absorb it. The CIO will not own HR adoption. The vendor leaves after go-live. A transformation office writes decks. The work falls between chairs, and the adoption gap stays open. The People-AI Officer is the chair. Mid-market companies will not staff this as a full-time executive in year one, and should not. The job is to install the operating model and design itself out. Fractional is how mid-market companies get one this year.
Your ATS vendor will not do your change management
The demo was great. Adoption is your problem now.
Your ATS vendor sold you a demo. The screening agent looked sharp. Procurement signed. Implementation started. Then the work stopped being software and started being people. Recruiters do not change how they source because a vendor trained them for an afternoon. Hiring managers do not trust a slate they did not filter. Candidates notice when a conversation feels automated and unexplained. The ATS team closes the ticket. The CHRO is left with a license, a stalled adoption curve, and a transformation office asking why utilization is at 18 percent. That last mile is not a product problem. It is change management: who owns the new workflow, how the team is measured, what gets retired, and who sits in the room when a recruiter says the agent is wrong. Vendors are not paid to do that. They ship the tool and move to the next logo. Companies that get value treat the vendor as a component, not a transformation partner. They redesign one workflow, ship a working pilot with a senior operator in the room, and measure cost-per-hire before they buy the next module. The software was never the hard part. The last mile is.
The CHRO's 90-day AI map
Skip the two-year roadmap. Ninety days, one workflow, one number.
Two-year AI roadmaps are how people functions stay busy and unchanged. They produce steering committees, vendor longlists, and a slide titled “phase three: scale.” They do not produce a number a CFO will defend. Start smaller and harder. Pick one talent workflow, usually screening or scheduling, where AI's impact lands in cost-per-hire, time-to-fill, or quality-of-slate. Redesign that workflow end to end. Ship a working pilot in weeks, not quarters. Measure the baseline before you start and the delta at day ninety. If the number moves, you have earned the right to expand. If it does not, you have learned cheaply, with evidence. Talent acquisition is the beachhead because the economics are already in the language of the board. Adopters report 20–30 percent lower cost-per-hire. Screening time collapses from days to minutes. Slate quality becomes measurable instead of anecdotal. No other HR workflow gives you that proof this fast. Governance rides along. If the agent touches a hiring decision, bias testing and disclosure start in the same ninety days. You do not bolt compliance on after scale. Skip the two-year map. Ninety days. One workflow. One number. Then decide what the function becomes next.
The adoption gap is open. It will not stay open.
Half a day with your leadership team. Working demos. A 90-day map you keep, and the fee credits against a Sprint.
Book the People-AI Readiness Intensive →