Built, not advised.
On the builder's side of the table.
“The model is never the hard part. Connecting to your Workday, ServiceNow, and SAP is — and that's exactly what a demo can't show. So I evaluate the plumbing, not the demo.”
Your AI works in the demo. It dies in the workflow.
The problem
You have the board mandate. Six months and 20 vendor pitches later, every demo still looks polished — and none of them shows what happens when the AI has to live inside the real workflow. The model is not the hard part. The workflow is.
Every vendor pitch promised the same thing. None of them showed what happens after the pilot — when the tool has to connect to the systems work actually runs on, clear security and approvals, and hold up on an ordinary workday, not demo day.
In the demo
It answers the question.
Clean data, one happy path, and no one's real job on the line. The demo is built to impress — and it does, right up until it meets your workflow.
In the workflow
It has to do the work.
Real work runs through Workday, ServiceNow, and SAP — approvals, exceptions, and edge cases included. The model is not the hard part. Connecting to that plumbing is — and that's exactly what a demo can't show.
The solution
Work redesigned with AI, not decorated with it.
Start with the outcome, not the tool. Most AI projects stall because they start from the technology; WorkEvolve starts from the work itself — redesign the work first, then evaluate the plumbing, not the demo.
Most organizations ask
“Where can we add AI to existing workflows?”
That question bolts a chatbot onto a broken process — and produces a demo employees try once and abandon.
The better question
“What outcomes are we trying to achieve — and how should work be redesigned to reach them?”
That question surfaces the real pain points first, then puts AI — and people — where each does the most good.
The solution · The full journey
The business case is only the start.
The solution isn't just the business case. It's the whole arc — from a case that holds up, to a result people actually use, to the outcome you can point to.
- 01
Understand the goals and the problems
Start with the outcomes that matter and the pain points in the way — before any tool enters the picture.
- 02
Make the business case — with the systems evaluation and the ROI
Redesign the work first, then build the case — it covers the systems evaluation and the ROI, in numbers finance can actually use.
- 03
Get it approved
Win sign-off from the people who own the budget, the risk, and the workflow.
- 04
Showcase it
Show the redesigned work working on the real plumbing — not in a demo.
- 05
Take it into production
I evaluate your systems, propose the build, and build it myself — connected to the systems work runs on, and made to hold up on an ordinary day.
- 06
Get it actually adopted
Make it part of how people do the job, so it doesn't get tried once and abandoned.
- 07
Showcase the outcome
Report what changed, in the terms the case promised — the proof that earns the next one.
The solution · Engagements
Three ways to work together.
Mapped to the stage your organization is in — strategy, evaluation, or adoption. Start with any one; most clients begin with the Workshop or the Evaluation Sprint.
Stage 01 · Strategy
The Workshop
Half-day or full-day
A focused working session with your leadership team. We surface the real pain points, map your workflows as they actually run today, and build a roadmap for where AI moves the needle — and where it doesn't.
Best for: Leadership teams at the start — you know AI matters, but not yet where to place the first bet.
Book a call to scope itWhat you walk away with
Who this is for
A good fit is specific.
WorkEvolve is for you if…
- You're a mid-market or enterprise leader evaluating AI tools for HR, IT, or employee workflows
- Vendor demos all look the same, and you need someone independent to evaluate the plumbing
- You need a business case that survives finance's questions
- You've bought the tool — now adoption is the problem
It's not the right fit if…
- You want a vendor recommendation with a commission behind it — this advice is independent by design
- You're looking for a team to build the product for you — this is advisory, alongside your team and vendors
- The goal is a slide deck about AI strategy with no intent to change how work runs
The proof
Why me?
Swapna Oundhakar
Founder · WorkEvolve.ai LLC
A product leader for enterprise AI, HR technology, and the systems employees actually touch every day. She led the AI for Work agent portfolio at Kore.ai, after building products at ADP, Amazon, and BSI — among them the first HR and payroll integration for Workforce Now and payroll products serving 35M+ users. Now, through WorkEvolve.ai, she helps mid-market and enterprise leaders redesign work with AI — Atlanta-based, working with clients remotely and on-site.
Kore.ai
AI for Work agent portfolio — HR, IT & recruiting agents where employees already work
ADP
First HR & payroll integration for Workforce Now; Onboarding from pilot to $10M ARR; Vantage HCM modernized onto AWS
Amazon · BSI
Talent & career platform across 20+ countries · Payroll & tax products serving 35M+ users
35M+
Users on the payroll & tax products led at BSI
Pilot → $10M
ARR — ADP Onboarding, built and commercialized from pilot
20+ countries
Amazon talent & career platform, in 15 languages
~30% QoQ
Growth of Kore.ai's AI for Work portfolio, pipeline up ~3×
Questions
Before you book.
If you don't yet know where AI should go, start with the Workshop. If you're comparing tools or vendors, start with the Evaluation Sprint. If you've already chosen and need rollout to land, that's the Embedded Advisor. A short call is the easiest way to tell — that's what the booking link is for.
No. WorkEvolve is vendor-independent: no tools to sell, no referral commissions. I can propose the tools that fit, or work with what you already have. Having built at Kore.ai, ADP, Amazon, and BSI means knowing how these platforms work from the inside — the recommendation follows your workflows and your systems (Workday, ServiceNow, SAP, and the rest), not a partner list.
Typically mid-market and enterprise organizations evaluating AI tools or redesigning workflows with humans and AI agents — large enough that HR and IT volume makes the economics real, small enough that one engagement can still change how work runs.
Engagements are scoped individually — a half-day workshop and a twelve-month advisory are different commitments, so pricing follows scope rather than a published rate card. The first step is a short call to scope what you actually need; you'll get a clear proposal before anything is committed.
A small number at a time, deliberately. Embedded work only works if there's real attention behind it, so availability is limited and engagements are scheduled in order.
If you want a thought partner who's been on the builder's side, start with a short call.
Fifteen or thirty minutes — bring the workflow, the vendor shortlist, or the rollout that isn't landing. We'll work out which engagement, if any, fits.
Book on Cal.comWork redesigned with AI, not decorated with it.