/Terminal AI
Turn AI capability into business momentum
We sit with your team, find the work worth changing, and deploy AI systems that do it.
TerminalTraining · Deployment · Talent
/01 Where the world is
1 in 6
people worldwide now use AI tools.
ChatGPT alone reached 900 million weekly users in February 2026.
Each dot = 1 in 60 people
Sources: Microsoft AI Economy Institute, Global AI Adoption Report (H2 2025); ChatGPT weekly users per OpenAI (Feb 2026)Terminal AI · Intro
/01 Where the world is
79%
of companies say they are adopting AI agents.
Most still have half or fewer of their people actually using them.
Each dot = 1% of companies surveyed
Source: PwC AI Agent Survey, May 2025 (US executives)Terminal AI · Intro
/02 The gap
Access to AI isn’t the hard part. Deploying it is.
Terminal AI turns AI capability into systems that run inside the business.
TerminalTerminal AI · Intro
/03 Case studyGemini AI
Gemini AI’s CEO wanted the go-to-market team to move faster.
An existing Terminal customer asked us to help.
500
people
In-house
engineering team
Existing
Terminal customer
Terminal AI · Intro
/03 Case studyGemini AI

Two weeks from shadowing the team to a working system.

We learned the work before we built anything.
Week 1
Shadow the team
Sat with the go-to-market team to see how the work actually gets done.
Week 2
Build the system
Built a fully agentic system that automates the first critical steps of their go-to-market pipeline.
Terminal AI · Intro
/03 Case studyGemini AI
~40 hours
saved for the go-to-market team.
Time back for the work that needs people.
Source: Gemini AI deployment · To confirm: time period, how it was measured, client permissionTerminal AI · Intro
/04 Demo
Our go-to-market engine
A live look at the kind of system we deploy.
TerminalLive demo
/05 How we work

Every deployment starts the same way.

What we did for Gemini AI is what we do for every customer.
01
Sit with the team
Shadow the people doing the work, inside their tools.
02
Understand the work
Map the steps, handoffs and decisions, and pick what to change first.
03
Deploy on their behalf
Build the system, put it into the real workflow, and measure it.
Terminal AI · Intro
/06 The model

Start very specific. Then expand.

One deployment earns the right to the next one.
Start specific
One workflow, one team, one measurable result.
Expand through training
Help the wider team use what we built and find the next workflow.
Expand through hiring
Place engineers who own and grow the capability.
Terminal AI · Intro