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Where This Starts

One starting point.
Four ways forward.

No retainer until the work is understood. Every engagement begins with a diagnostic: a short, focused session that tells both of us whether this is the right fit and exactly what gets built first.

I work with companies across the United States and India. The method's the same in both markets. The problems usually are too.

If something has already been tried and didn't stick, that conversation belongs in the Diagnostic. That is usually where the answer lives.


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01 2-hour session
The Diagnostic

Two hours. One desk. One role. We look at the most repetitive task in your operation, map where AI can replace or reduce it, and leave with a clear build plan, not a slide deck. Not because it is a formality. Most AI failures happen before the build begins. The wrong task. The wrong tool. The wrong order. The Diagnostic prevents all three.

What you leave with
One specific task identified as the highest-value AI intervention at your desk
A written build plan: what gets built, in what order, using which tools
A clear answer on whether AI is the right next step, or something else is
No obligation to continue. This session stands alone

You know something needs to change. You don't know which task to move first. That's what this session settles.

02 Embedded build
Desk-Level Build

I build the thing. Workflows, prompts, automations, and integrations embedded directly into how your team works today. Delivered in weeks, not quarters. The first person who uses it shows you it works, before I leave. There's no pilot period. No training module. No adoption curve. One desk changes. The rest of the organization watches it happen.

What gets built
Custom AI workflows embedded into your existing tools, not new software on top of old processes
Prompts, automations, and integrations built for the specific role and task identified in the Diagnostic
A working system demonstrated live, with the person doing the job, before handoff
Documentation written for the person using it, not for an IT department

Done researching. Ready to have something working this month. This is where that happens.

03 Desk → team
Team Rollout

Once one desk changes, the team follows. I expand the build from one person to the people around them through demonstration, not training days. No workshop. No change management deck. Just the next person who sees it working and wants the same for their desk. This is how real adoption happens. Not mandated from the top. Pulled from the desk up.

How this works
The first desk becomes the proof point: colleagues see it working, not a slide about it working
Build expands desk by desk, role by role, adapted to each person's actual tasks
Team capability builds through use, not training. The habit forms around the result
Resistance drops because nobody is told to change. They watch someone benefit from it first

One desk has changed. Now the question is: how do you get the rest of the team there without a mandate from the top?

04 Both markets
US & India Partner

US-based companies outsource their AI implementation work to me as an embedded partner. In India, I work directly with solopreneurs, founders, family businesses, and export houses who are ready to build rather than wait. Both markets. One practitioner. Twenty years of building across both. This is not a remote advisory role. It is an implementation partnership with someone who has built businesses in both geographies and knows what it takes to actually ship something.

What this looks like
US companies: embedded AI implementation partner: build work outsourced, not managed from a distance
India: direct work with founders and SMBs: implementation at the desk, not strategy in the boardroom
Cross-border context: for companies operating in both markets, a practitioner who understands both
Ongoing relationship: not a one-time project, a practitioner who knows your business and keeps building

For US companies ready to outsource the AI build. For Indian businesses done waiting for the right moment.

Without it

The tool gets bought. Nobody knows which task to give it first.

Manual tasks keep running. Status gets chased. The implementation stays on next quarter's agenda.

With it

Ninety days in,
the work runs itself.
Nobody chases.

One desk changes first. The team watches. Then they want the same.

Book the Diagnostic →

A note

Most people who reach this page have already tried something that didn't work. A tool that went unused. An initiative that lost momentum by week three. That is not evidence that AI doesn't work for your business. It is evidence that the build was skipped. That is a different problem with a different fix.

The four services above are not a menu to choose from. They are a sequence. The Diagnostic tells you where to start. Everything else follows from that one session. If you have been waiting to find the right starting point, you have found it.

Priyankka Wadhwa · Let's Execute AI
Where every engagement begins

It always starts
with the Diagnostic.

Two hours. One task. One person. No retainer required before this session. You leave knowing exactly what gets built, in what order, and whether it is worth building at all. If the answer is yes, we move to the build. If it is not yet, you leave with a plan for when you are ready.

Book the Diagnostic →
Common Questions

Things people ask
before they start.

Do I need to know which service I want before reaching out?
No. The Diagnostic tells both of us what the right next step is. You don't need to have decided anything before we talk. Just one repetitive task and thirty minutes to describe it. The session itself determines what comes after.
How long does the Desk-Level Build take?
Weeks, not quarters. The exact timeline depends on the complexity of the task and how many tools are involved. Most desk-level builds are complete and working within four to six weeks. The person using it sees it working before the engagement closes.
Do you work remotely or on-site?
Both. US engagements are primarily remote with periodic on-site where the work requires it. India engagements can be in-person for the Diagnostic and first build session. The work happens where the person doing the job actually sits.
What if AI turns out not to be the right answer for us?
That's exactly what the Diagnostic is designed to find out. Not every task should go to AI first. Some need a process fix. Some need a hire. Some need a different tool entirely. If that's what the session shows, you leave with a clear answer, which is worth the two hours regardless.
We've tried AI tools before and nothing stuck. Why would this be different?
Because most AI efforts fail at the implementation step, not the tool selection step. The right tool, given to the wrong person, for the wrong task, in the wrong order, fails every time. The Diagnostic addresses each of those before anything is built.
We're a small team. Is this only for larger organizations?
The opposite. The method was built for small teams. One desk is the whole point. A solo founder or a five-person team gets more from this than an enterprise that wants a rollout across 200 people. Small teams move faster and the results show sooner.

The plan is the problem.
Let's build instead.

Ninety days from now, something in your operation runs without anyone asking it to. The desk that changed first shows the team what is possible. That is what the build produces. The Diagnostic is where it starts.

LET'S EXECUTE AI · BOOK A CALL · PW