Can we keep using our existing AI contracts?

Yes, we connect them as they are. There's no markup on AI models (0%), and model usage fees aren't included in the seat fee. Your total monthly cost is the seat fee plus external subscription fees and API usage fees.

Where does our data stay?

Reading and writing code, builds, and deployments run on execution machines you designate. Conversations are protected with end-to-end encryption, and SayCode only relays and records.

Which models can we use?

Only models your company has approved. Choose which models to open by team and machine, and set exceptions per person. In one workspace, use Claude and Codex for different purposes.

How do costs go down?

Usage is measured and reallocated each cycle, and auto mode picks the model suited to each request's difficulty. On top of that, work guides filter out unnecessary research and repeated analysis. In Buzzni's internal measurement, monthly AI execution costs fell 49%, and savings in your environment are measured against a baseline in the first month.

How do we get started?

Start with a free 1-month pilot. In week 1, we measure a baseline of your current AI usage and costs. In weeks 2 and 3, we apply it to real work and measure. In week 4, you decide on adoption based on the results report.

SayCode

Manage all the AI in your company in one place

Brings subscriptions and APIs scattered across departments into one control plane. You see who uses which model and how much, and code and prompts stay as assets on execution machines your company designates.

Talk to our team Visit SayCode

SayCode organization console member management screen

What you build stays with the company

When the person in charge changes, work in personal accounts leaves the company with them. Work in SayCode stays with the company.

Work that scatters when used individually

Used individually, it scatters

Output stays on personal PCs and accounts, so the team can't pick it up
Only the creator knows where the reference materials are
Prompts used for work aren't recorded and leave with the person
When the person in charge changes, their work leaves the company

Used by the company, it builds up

In one company-managed place, you see who builds and uses what
What one person builds, the whole team can use as is
Colleagues pick it up, refine it together, and ship it safely after review
It goes live on an internal URL. You get the link to open it right there

From building to deployment, in one workspace

It starts with a one-sentence request, goes live on an internal URL, and the whole process is recorded for the company. Accounts, models, and costs are managed within the limits your company sets.

Internal deployment

Say it, it gets built, and it goes live on an internal URL

One sentence is all it takes. Write "Show me all our outsourced work on one screen, with progress and settlements," and you get an internal URL that opens the finished screen right there.

Chat

Your everyday work, in SayCode

Chat just like the AI you already use. Upload PPTs, PDFs, spreadsheets, and documents to summarize, organize, and edit, and ask about company data in plain language without knowing SQL. Once the direction is clear, the conversation carries straight into building.

Company assets

What you build and the prompts you use stay with the company

The work process is recorded automatically as markdown memory. It stays on machines the company runs, so even when people change departments or leave, their code, prompts, and planning documents become the starting point for other teams.

Screen turning code and prompts into company assets

AI costs

Cut AI costs in half

Manage and adjust AI subscriptions and API usage in one place. Auto mode picks the model suited to each task's difficulty, and work guides built on Buzzni know-how cut unnecessary usage. Across Buzzni's 35-person engineering organization, monthly AI execution costs fell 49%.

Security and permissions

Code and data stay inside the company

Apps, code, and deployments run on computers your company manages, and external AI models come in only through a single encrypted channel the company approves. The company grants and revokes accounts, and every action is logged with who did what and when.

Audit logs and permission management screen

Build more on a smaller budget, and keep the results in the company

Connect the AI contracts you already have, handle the same work with fewer tokens, and the code and prompts you create build up in the company.

CONTROL PLANE

Subscriptions and APIs under one policy

Contracts scattered across departments in one control plane
Users, models, costs, and audits on the same criteria
Same user experience whether it's a subscription or an API key

DATA SOVEREIGNTY

You designate the execution machines

Code and output reside on machines you designate
Conversations are end-to-end encrypted, unreadable even to the operator
Only selected context is sent with model calls

COMPANY ASSET

Code and prompts build up in the company

Work context recorded automatically as markdown memory
Planners and developers work together in one project
A starting point for other teams even when people change

IN PRODUCTION

Proven inside Buzzni

Buzzni's 35-person engineering organization runs on SayCode
Monthly AI execution costs cut 49% (internal measurement, June to July 2026)
Has passed enterprise pilots and security reviews

Frequently asked questions

Find answers to common questions before you get started.

Seats are for members who work, review, and approve directly in SayCode. End users who only use deployed apps or report URLs don't need a seat. Seats are named seats.