00 / Workflow automation
Automate the repetitive work
Find the manual, repetitive workflows draining your team’s time and automate them where it genuinely pays off.
ZeroIndex
02 / Adopt
AI Adoption.
Hands-on enablement for teams adopting AI to accelerate the work that matters — workflow automation, internal tools, and the habits that make it stick. Measurable velocity, not pilot decks.
Why adoption
Buying AI tools isn’t the same as adopting them.
Most teams have licenses nobody really uses and pilots that never made it into the daily workflow. Adoption is the part that sticks: the workflows, the internal tools, and the habits that actually change how the work gets done. I embed with your team, build those, and leave them measurably faster.
What you get
Capability that stays after I leave.
01 / Internal tools
Tools built for your team
Purpose-built internal tools that fit how your people actually work — not another generic app to wrestle with.
02 / Engineering teams
Faster engineering
If you have an engineering team, bring AI into how they plan, write, review, and ship — the same accelerated workflow I build with.
03 / Integrations
Connect AI to your tools
Wire AI into the tools and data you already run, so it works with what you have instead of beside it — no rip-and-replace.
04 / Enablement
Habits that stick
Training, playbooks, and patterns so the team keeps moving fast once the engagement ends — capability, not dependency.
05 / Measurable velocity
Track the real gains
I measure time saved and work shipped — not vanity metrics or a pilot deck. If it isn’t paying off, I change course.
Use cases
When teams call me in.
The situations adoption work tends to start from — less about a specific tool, more about a team that’s ready to move.
00 / SDLC
The workflow hasn’t changed
Your engineers have the AI tools, but the way they plan, write, review, and ship looks the same as before. Establishing AI-first SDLC at org scale is what I do daily — with the release-cycle numbers to show for it.
01 / Reliability
You can’t trust the output
You shipped something with AI, but it drifts and the results aren’t consistent — so nobody fully trusts it. Evals, tracing, and observability are what turn a demo into something you can rely on.
02 / Plateau
A team ready to move faster
The team is capable and willing, but doesn’t yet have the patterns or habits to use AI well. You want them measurably faster, for good — not a one-off demo.
How it works
Embed, build, measure.
A retained engagement — ongoing enablement, not a one-off workshop.
00 / Embed
Learn the work
Work alongside your team to understand how things actually run today and where AI will genuinely move the needle.
01 / Build & enable
Ship the workflows
Build the automations and tools, then train the team to run and extend them — capability transfers along the way.
02 / Measure & iterate
Prove the gain
Track time saved and work shipped, double down on what works, and drop what doesn’t.
Investment
Fixed fee, scoped to a goal — not billed by the month.
Adoption is a scoped engagement — anywhere from a focused month to an ongoing partnership, because habits and capability take more than a single workshop to take hold. One agreed price for the scope, set before I start. The goal is to make myself unnecessary: a team that’s measurably faster and can keep going without me. Want to keep me around after that? Great — but it’s your call, not a contract’s.
Why ZeroIndex
Founder-led. You work directly with the senior engineer, not a trainer reading slides.
I’m Abhishek — 21 years of software engineering and engineering leadership, and I build production AI every day. Your team learns adoption from someone who actually ships it — not a deck-and-a-Loom-video.