/Terminal AI
Turn AI capability into business momentum
From building the team to building and deploying the capability.
TerminalTraining · Deployment · Talent
/01 Terminal AI

We help companies turn AI capability into business momentum.

Terminal, for years
Helping companies build great technical teams.
Building the team.
Terminal AI, now
Finding valuable applications of AI, building them into real workflows, and making them useful inside the business.
Building and deploying the capability.
Training. Deployment. Talent. One system for building AI capability.
Terminal AI · Internal
/02 The problem we are solving

Access to AI is no longer the hard part.

Companies have models, copilots, APIs, data, and increasingly powerful tools.
What they often don't have is the capacity to turn those ingredients into something that actually changes how the business operates.
The gap is deployment
01
What should we build?
02
How does it connect to our actual systems and workflows?
03
How do we know it works?
04
How do people adopt it?
05
Who owns it after launch?
Terminal AI exists to close that gap.Terminal AI · Internal
/03 What we actually do

We help companies build AI capability three ways.

Train
Help teams understand the technology and become better at using it in their work.
Deploy
Find valuable workflows and build AI systems, automations, agents, integrations, and products around them.
Scale
Help companies build the engineering capacity required to own and expand what works.
These aren't three unrelated services. A company might
01
Start by educating a team
02
Discover a workflow worth changing
03
Deploy something into production
04
Need dedicated engineers to own it
The goal is capability, not a project.Terminal AI · Internal
/04 What we mean by deployment
A deployment is a working capability inside the business.
Not a prototype.
Not an AI strategy deck.
Not a demo that lives outside the way people actually work.
Terminal AI · Internal
/04 What we mean by deployment

A deployment lives where the work happens, and we can measure it.

Connected
It connects to the tools and information the work depends on.
Adopted
People know when and how to use it.
Owned
Someone owns its performance.
And we can measure whether it
Saves time
Reduces cost
Increases capacity
Improves quality
Creates a better experience
Terminal AI · Internal
/05 What that looks likeLeasing · AI lead concierge

Faith turns a leasing workflow into one coordinated lead lifecycle

Before: five places to watch
Listing platforms
Email inboxes
Text messages
CRM
Scheduling
What we built
AI step · Terminal-built
Faith
01  Reads and triages inbound leads
02  Extracts contact and property info
03  Creates CRM records
04  Sends personalized responses
05  Classifies replies
06  Keeps the pipeline updated
Outcome
<5 min
first response
12
sources monitored
24/7
coverage
Source: Faith deployment · To confirm: period, measurement, client permissionTerminal AI · Internal
/05 What that looks likeSwimlane · one lead, start to finish

The system handles the pipeline. People keep the judgment.

01Inquiry
02Respond
03Qualify
04Tour
05Nurture
06Apply
07Screen
08Decide
Faith
Leasing team
AI step
Intake and triage
AI step
First response, follow-up
AI step
Classify replies, update pipeline
Human
Tours and lockbox access
AI step
Post-visit nurture
AI step
Application intake
Human
Screening
Human
Judgment calls and exceptions
For the team
Less channel monitoring and record maintenance.
For managers
A more consistent process.
For prospective tenants
A much faster response.
This is what we mean when we say deployed AI.Terminal AI · Internal
/06 The Terminal method

Get close to the work. Co-create the solution. Build with the team. Deploy and improve.

01
Get close to the work
Understand the people, processes, systems, handoffs, information, and decisions involved.
02
Find something worth changing
Choose a workflow where better technology can materially change time, cost, quality, capacity, or customer experience.
03
Build against reality
Our engineers build using real systems, real requirements, and real users rather than designing something theoretically useful.
04
Deploy and improve
Put it into use, measure what happens, fix what doesn't work, and expand what does.
Deployment produces strategy.
We learn what the business needs by building with the business.
Terminal AI · Internal
/07 How we choose what to build

We begin with the work, not a list of AI use cases.

We look for four things
Value
What changes for the business if this works?
Feasibility
Can we access the systems, information, and actions required?
Adoption
Can this fit naturally into how people actually work?
Ownership
Who will operate, evaluate, and improve it?
The output isn't
A 50-item AI opportunity backlog.
It's
A small number of opportunities with a clear reason to pursue one first.
Terminal AI · Internal
/08 The people who make this work

Expert builders, working as one team

Customer
The customer team
Brings the operating context.
Executive sponsor, workflow owners, subject-matter experts, and end users provide access, feedback, constraints, and decisions.
Terminal AI
Forward Deployed Engineer
Lives at the intersection of the business problem and the technical solution.
Owns discovery, workflow design, coordination, rollout, and adoption.
Terminal AI
AI Engineers
Build the capability.
Integrations, agents, prompts, evaluations, automations, applications, infrastructure, and production systems.
The customer makes sure we're solving reality.
The FDE connects the work to the technology.
The AI engineers make the technology work.
Terminal AI · Internal
/09 How we work

We build with customers, not for them behind a curtain.

We agree on a working cadence and review working software throughout the engagement.
Every review makes three things visible
  What works.
  What we learned.
  What needs a decision.
The workflow, technology, and people develop together
Workflow
Tasks, handoffs, decisions, exceptions, and measures of success.
Technology
Data, integrations, application behavior, permissions, safeguards, and evaluations.
People
Feedback, training, responsibilities, adoption, and eventual ownership.
Terminal AI · Internal
/10 A deployment has a standard

“It works” means more than the model produced the right answer.

Before expanding use, we establish that
The system performs against agreed real-world cases.
Integrations, permissions, and exception handling work.
Users know how and when to use it.
People know when they should intervene.
An owner and support process exist.
Performance can be compared with the starting baseline.
Ownership begins during the build.
The people who will eventually operate the system participate early. Documentation, training, and operating practices are created alongside the technology.
Terminal AI · Internal
/11 Where Terminal AI fits inside Terminal

The easiest distinction: what is the customer buying?

Buying talent
They want a specific engineer.
They manage that person's day-to-day work.
They are building their own internal capacity.
That's the Terminal talent business.
Buying an outcome
They have a workflow, problem, or capability they want deployed.
We determine the right team.
We own how the work gets delivered.
We measure whether the deployment works.
That's Terminal AI.
Sometimes one naturally becomes the other. A deployment may uncover the need for permanent talent. A talent relationship may reveal something worth deploying. That's a feature of the Terminal platform.
Terminal AI · Internal
/12 What this means for Terminal

We can now have a much broader conversation with our customers.

Terminal has historically answered
“Who should I hire?”
Now we can also answer
“What should we build?”
“Can you help us deploy it?”
“Can you help my existing team become AI-native?”
“And once it works, who should own it?”
Terminal AI · Internal
/12 What this means for Terminal

If you hear a customer saying…

“We know we need to do something with AI, but…”
“Our team spends an insane amount of time doing…”
“We've tried a bunch of AI tools, but nothing has really stuck…”
“We have a prototype, but we can't get it into production…”
“We don't know whether we need to buy, build, or hire…”
That's probably a Terminal AI conversation.Terminal AI · Internal
/13 The bigger idea

Terminal is building the infrastructure companies need to become AI-native.

Talentis part of that.
Educationis part of that.
Deploymentis part of that.
The advantage is putting them together.
Every deployment teaches us more about the workflows companies are changing, the systems required to change them, and the engineers capable of doing the work.
It makes our next deployment better.
It makes our talent network better.
It makes Terminal more valuable to the companies we already serve.
Terminal AI · Internal
/13 The bigger idea
We don't just help companies access AI.
We help them build the capability to use it.
TerminalTerminal AI · Internal