You don’t need an 18-month AI transformation. You need a win this quarter.
95% of AI pilots never ship — and it’s rarely the AI’s fault. Vivanti gets you from idea to shipped AI in weeks by pointing AI at the work it’s already great at, on a focused slice of data we curate fast. Ship the win. Skip the moonshot.
- 95%
- of GenAI pilots fail to scale (MIT, 2025)
- 80%
- of AI projects don’t deliver value (RAND)
- 88%
- never reach production at all
Why most AI never ships
The moonshot was too big
A boil-the-ocean transformation that dies in committee before it touches a customer.
The data wasn’t ready
The number one pilot-killer: AI pointed at ungoverned, scattered data.
No one defined the win
Without a metric, “done” is an opinion — and opinions don’t survive budget reviews.
The fastest way to do AI is to do less of it, sooner.
A shipped quick win isn’t a consolation prize — it’s the smartest first step. It teaches you more in six weeks than an offsite does in six months, funds the next win, and earns your board’s trust. Ship small, repeatedly, and you lap the company still workshopping its vision.
Three choices that decide whether you ship
- 01
Play AI’s greatest hits
Reading, summarizing, extracting, drafting, routing — at volume. Not the sci-fi moonshot that stalls.
- 02
Prep the slice, not the ocean
Curate the one slice your first win needs — not the whole estate — so the biggest risk shrinks fast.
- 03
Define the win first
One workflow, one metric, one number that moves. Measurable means defensible means repeatable.
Snowflake gets you there faster: AI next to your data
The quickest path to a win is to not move your data. Snowflake runs AI right next to your data, where it already lives, in one secure platform with the governance tools to curate in place. It stores and secures. The curating is real work — and that’s ours.
Not on Snowflake? We run AI Now on AWS, Databricks and Google Cloud too.
Cortex AI
Built-in LLMs, no new stack
Document AI
Turn the document pile into usable data
Cortex Analyst
Ask questions in plain language
Wins, not workshops
500k+
pages behind a Cortex AI assistant
Siemens Energy · Snowflake
Weeks to minutes
control-matching time
Drata · Snowflake
POC to scale
governed AI taken to enterprise readiness
Blackmores · Vivanti
TMS
transport management modernized
Pacific National · Vivanti
From Pilot to Production: A Quick-Win Framework for Realizing Enterprise AI Value
A Vivanti whitepaper for the data and AI leaders who need to turn experimentation into measured business value — one bounded, governed use case at a time.
- 01The enterprise AI value gap, and why most pilots never reach production
- 02A seven-step quick-win framework, from use-case triage to industrialization
- 03The three-plane model: data foundation, delivery and value realization
- 04An industry use-case selection matrix across five regulated sectors
- 05The seven steps applied to a real document-heavy workflow, end to end
- 06A five-stage roadmap and a use-case readiness checklist
Built for regulated, high-stakes industries
Banking, financial services & insurance
Media, entertainment & sports
Supply chain & logistics
Health & life sciences
Government & education
Bring one workflow. Leave with a quick-win plan.
Give us 30 minutes. We’ll scope an AI win you can ship this quarter — the right workflow, with the data prep scoped to fit, and a metric. No slideware, no obligation.
Book a 30-minute sessionPrefer to write first? jules.trono@vivanti.com