Overview
Design and verification stay with senior engineers who ship in HIPAA-regulated, EHR- and FHIR-integrated environments.
The trade
How it works
Pick a phase to see who does what, and what exists when it closes.
Describe the outcome you want. Sketch it. Vibe-code it. Write one paragraph of intent. Any of those is enough to start.
This is the entire requirements input you owe — for the whole project. There is no second round of requirements gathering, because there is nothing for it to feed.
Produce one artifact of intent.
Nothing yet. We read it.
A need someone outside your head can react to.
In a working session measured in hours, not weeks, we turn your artifact into one shared picture of the product: the core concepts, the main workflows, how the pieces relate.
Details are left deliberately cheap to change. The skeleton is the part that keeps the build on course.
This picture is the only planning documentation the project will ever produce.
Show up and decide in the room.
Turn intent into structure, out loud, with you.
One shared picture of the product skeleton.
From day one we build in an isolated, production-grade environment — demoable at any moment, announced or not.
Your product owner reacts to working software. Never to code. Never to documents. No ceremony, no approval queue, no written change requests.
Review turnaround is measured in minutes, not days. That bar is the discipline; everything else is downstream of it.
Watch demos. React fast. Redirect freely.
Keep a live build worth demoing, every day.
A live, production-grade engine — demo by demo.
Launch is undramatic by design. The same product your product owner has been reviewing all along gets promoted to production, on your sign-off, and put in front of real users.
No integration crunch. No stabilization phase. There is nothing to reconcile, because nothing was built in the dark.
V1's job is not to be final. Its job is contact with reality — learning the true shape of the product.
Sign off. Bring real users.
Promote the reviewed build. Watch what breaks in the world.
Real usage, and true learning.
Once real usage has taught you what the product should be, rebuilding from a clean base is a legitimate move — often the optimal one. With AI, the rebuild is no longer the expensive part.
This is also when durability spending goes in: scale, observability, compliance depth — layered into a product that has proven it deserves it.
Rewriting here is not a recovery from failure. It is the payoff for not over-engineering V1.
Decide what the evidence says the product is.
Rebuild clean, and harden what earned it.
A clean rebuild based on certain knowledge.
The hard requirement
Your own teams could adopt this model — the tools are the easy part, and any competent team can learn them. What they cannot do is grant themselves permission. For each team running this way, leadership has to issue an explicit mandate:
01
No PRDs. No ticket tracking. No scheduled ceremonies. No design-doc gates. The shared channel, the product-skeleton picture, and the pull-request record are the process.
02
A spec or mockup produced “just to be safe” is the violation, not the safeguard.
03
Nobody outside it may demand status documents, roadmap entries or planning artifacts while it builds. Anyone who wants status watches a demo or reads the pull requests.
Why this is hard in a real organization
The charter has to be enforced against your own immune system. Muscle memory for specs, tickets and gates is strong, and the team that deviates expects a slap on the wrist. Leadership has to mandate the new way, police the quiet return of the old artifacts, and shield the team from every stakeholder who just needs a status deck — while the rest of the company keeps running traditionally.
What Vicert brings
You can still run it yourself. The honest price of that path is not licenses or training — it is months of sustained executive enforcement, spending the scarcest asset executives have. What an engagement changes is who carries it.
The operating model and the permission charter arrive pre-drafted with the engagement. Leadership signs and backs them; nobody has to invent the discipline, defend it, and enforce it from scratch. What runs inside it is a small, senior, cross-functional pod whose seniors build rather than supervise, holding the minutes-not-days review bar from the first week.
An outside partner chartered to work this way is expected to be different. The deviation reads as the terms of the engagement rather than as a team breaking company norms — so no one internally spends standing to defend working without specs, tickets and gates.
Verification is owned by named senior engineers as a standing part of the pod — a role that exists from day one, not something worked out as you go. Agents implement. A human still has to design the right solution, architect it soundly, and own verification of everything that ships. That judgment is what decides whether AI-built software belongs in front of users — and ours is not generic.
The price is a scoped engagement plus your sign-off on demos. The only recurring commitment is a product owner who reacts to working software — no month-after-month draw on executive attention and political capital.
Failure here is visible: there is a live build to demo, or there isn't. Nothing drifts quietly for two quarters, because working software is the only status artifact — and on any given day it is either there or plainly missing.
The failure nobody catches in time
“AI adoption” quietly becomes AI tools bolted onto the old process. The cheapest step gets faster. Every bottleneck stays exactly where it was. And because the artifacts still look right, the reports keep saying the transformation is on track.
No reorganization up front. No retraining program. Your existing teams keep their cadence, their tools and their commitments. The new process runs at full fidelity inside the Vicert workstream, and the organization adopts it by watching it work.
One paragraph of intent is a valid starting point. So is a sketch on a napkin.