AI Build Sprints · AI-Native Transformation

We help enterprises become AI-native organizations.

Start with a single product or workflow, expand to your entire organization with a company-wide transformation.

Our clients

Where our team has delivered

The problem

AI is everywhere. Adoption isn't producing results.

Most companies we talk to have already adopted AI tools. Very few have seen it change how the organization actually works or deliver ROI.

Pilot purgatory

The CEO buys a Enterprise Claude or ChatGPT. Departments run pilots, but the board never sees the increased efficiency promised to them.

Nobody redesigns how work actually happens

The habits, hand-offs, and approval chains built for a pre-AI world quietly outlast every tool rollout.

Adoption hits a glass-ceiling with engineering

Engineers can often be hesitant to adopt AI, fearing job displacement or being left behind.

We realize that AI is first and foremost a people problem, not a technology problem. When you approach transformation with a holistic human-centered approach, you can identify and remove the barriers to real adoption, productivity and performance.

20

job families with dedicated curricula

Finance, Legal, Product, Engineering, Customer Support - each function learns AI through the work it already does, not a generic course.

100

people through one company-wide season

A six-week engagement across every department of a mid-sized tech company: about 80% took the readiness assessment in week one, and 3,200+ personalized daily lessons followed.

Read the AI transformation case study
$120-250k

transformation price range

The range is set by headcount and job families in scope - fixed before we start, with a defined exit: a named internal lead runs everything when we leave. No license, no retainer.

John Ellison and Fatma working through a build together at a workshop table

REAL ESTATE TRANSFORMATION

We built their AI. Then taught them to build.

20 yrs

of expertise, made searchable

7

of their team trained to build with AI

Up to 528 hrs

saved per trained person, per year (estimated: 7–11 hrs a week × 48 weeks)

Meridian Estates · Real estate / PropTech

Read the case study
Over the shoulder of someone on a company-wide video call, a gallery of colleagues from several offices on the laptop screen

TECHNOLOGY TRANSFORMATION

Six weeks to an AI-native organization

~80%

completed the AI readiness assessment in week one

3,200+

personalized daily lessons completed

4.4 / 5

pulse score on how the change connects to daily work

Orion Tech · Technology

Read the case study
Colleagues walking past a wall dashboard of a stalled AI pilot in a large open-plan office

This is for you if

  • You have 150-500 people and your AI pilots aren't scaling past the team that built them

  • You're doing $5M-$50M in revenue and want a fixed price and a defined end, not an open-ended consultancy bill

  • You want every department using AI in their actual workflows, not one innovation team running demos

Operations colleagues maintaining an agentic workflow they built, in the same office in warm light

After 12 weeks

  • Leadership has a transformation roadmap - not a slide deck that collects dust

  • Every team in scope has role-specific AI skills built into its daily workflows

  • Agentic workflows are running in production, maintained by your own people

  • Your team owns a Company Brain for the departments in scope and decides whether to deploy it (Orion Tech chose not to, and the case study says why), with the agentic operating system running in each department you signed off

How we work

Start small. Prove results. Let it grow.

Start with a focused AI Build Sprint, a team curriculum rollout, or a full transformation. Each one stands on its own.

A small cross-functional team around a wooden table, a web app on the wall screen

AI Build Sprint

For teams that need to ship, not study. In 10 business days our senior builders ship one working product or workflow with your people, and your team learns to build the next one.

  • 1Four tracks: Product, Workflow automation, Governance & policy, People & culture
  • 2Real users put it to work before we hand over
  • 3You keep the code, the docs and the keys. Any retainer afterwards is optional.
A laptop showing a company all-hands video call, one colleague per tile

Company-Wide Transformation

We bring AI to the whole company, not just the engineers, one department at a time: one of our engineers pairs with a lead you name. It spreads on proven value, not a top-down rollout.

  • 1A readiness assessment run with your leads: where AI earns its place in your workflows, and where it only adds noise
  • 2Department pods: our engineer and your lead build real workflow automations alongside the team
  • 3The people side runs from day one (cohorts, listening circles, a lead you name), not bolted on after
Two colleagues, seen from behind, working through a learning module on a laptop

Agentic Learning Journeys

Your Finance team and your Engineering team need different things. We built 20 role-specific curricula so each function learns AI through the lens of work it already does.

  • 1Self-paced modules your team leads can deploy without external trainers
  • 2Real assignments tied to live company work - not toy exercises
  • 3Completion tracking and adoption metrics for leadership

The 12-week arc

From stuck pilots to company-wide adoption

Four phases. Each one produces something your teams keep and use after we leave.

01

Map

A team mapping how its work flows, one colleague walking the others through it on the wall screen

With the leads you name, we audit your pilots, interview the people who run the work, and build a Company Brain: a machine-readable map of how work flows between the teams, tools and information in scope. It runs on AIOS, self-hosted on your infrastructure with permissions per department, so no outside party, including us, has to hold it. Your team owns it and decides what goes in.

02

Build

Hands at a keyboard building an automated workflow

Custom agentic workflows and role-specific learning journeys, designed from your Company Brain. Then we roll out the agentic operating system one department at a time, each one scoped and signed off by your team first.

03

Train

Colleagues learning together around a table

Each role gets its own curriculum. We measure progress and adoption across the teams in scope, inside the security and compliance rules you already run. Regular showcases and hackathons let your people show what they built, and you pick who leads next.

04

Embed

A notebook handed across a table beside an open laptop

Adoption isn't a launch event. In the final weeks we measure usage, refine the workflows, and hand everything to the lead you named. The engagement ends on the date fixed at kickoff.

20 roles

One curriculum per function. Personalized for your organization.

Generic AI training fails because Finance and Engineering have unique concepts, workflows, and decisions. We built a curriculum for each function through engagements with other enterprises, covering the workflows, tools, and decisions that reflect each role's reality.

Open source · built in public

We don't just teach agentic work. We build the tools for it.

AIOS is our open-source operating system for agentic teams - the same substrate we deploy inside transformations. Every person gets a structured agent workspace; the team gets one shared brain that learns how you work and helps you collaborate.

The AIOS workspace: a personal agent workspace with tasks, context and chat
01

A workspace for every person

Structured agent workspaces that give each person a repeatable, inspectable way to work with AI - not a chat window and a prayer.

The AIOS team brain home: ask the brain, knowledge growth, recent decisions and open tasks
02

One shared team brain

A team brain that learns how your organization actually works and helps people collaborate - the practical form of the Company Brain, when a client chooses to deploy one.

AIOS

Open source (AGPL-3.0) and self-hosted

Licensed under AGPL-3.0 and self-hosted on your own infrastructure. You decide what leaves your machine - no lock-in, no black box, no data leaving your control by default.

AGPL-3.0 · self-hosted · maintained by Vibrana

Explore AIOS on aiosbrain.dev
Precision resolving into: what are humans for?, who's orchestrating this?, what would you refuse?, who gave you permission?, what did you build today?, what's the real workflow?.

Need company-wide change?

Company-wide transformation starts with the readiness assessment.

Use it when the problem spans leadership, governance, skills, and several workflows, not when one focused build will answer the question.

A sample AI readiness profile: an overall score and a bar for each category