AI Copilot

for Teams

The Fastest Way to Access What Your Team Already Knows.
Your team’s real knowledge - searchable, usable, and always on.

Why Now

Remote work has fractured internal knowledge. Docs live everywhere and nowhere at once. LLMs can finally unify context across tools and teams. The result? Copilots that work and work like your company.
The Problem

Too much information is trapped: in Notion pages no one opens, in Slack threads that disappear, in PDFs no one can find, in people’s heads. This slows onboarding, increases support tickets, and burns time across every team.

Our Solution

Your Internal AI Copilot. We build GPT-powered copilots trained on your company’s docs, policies, tools, and terminology. Your team can ask questions and get instant answers, in your voice, from your actual knowledge base. It’s like a second brain for your company. Other copilots answer. Ours understand. Not trained on the internet - trained on you.

What it feels like to have an AI Copilot
A new hire asks: “Where’s the vacation policy?” → Copilot links the exact page and next steps.
What it feels like to have an AI Copilot
Someone types “How do I invoice vendors?” → Copilot returns the approved workflow.
What it feels like to have an AI Copilot
A PM asks “Did we already localize the Figma files?” → Copilot summarizes status and links threads.
No more digging. No more repeating. No more guessing.

Use Cases by Industry

Employee Onboarding

Answers tool access

Answers tool access

Answers tool access

Answers tool access

policy

policy

policy

policy

HR

HR

HR

HR

workflow questions

workflow questions

workflow questions

workflow questions

Internal Support

Cuts down Slack pings

Cuts down Slack pings

Cuts down Slack pings

Cuts down Slack pings

repeats

repeats

repeats

repeats

confusion

confusion

confusion

confusion

Policy Lookups

Pulls from Notion

Pulls from Notion

Pulls from Notion

Pulls from Notion

GDrive

GDrive

GDrive

GDrive

PDFs

PDFs

PDFs

PDFs

templates

templates

templates

templates

Knowledge Search

Unified AI layer across docs and systems

Unified AI layer across docs and systems

Unified AI layer across docs and systems

Unified AI layer across docs and systems

Training & Ops

Accelerates ramp-up and internal adoption

Accelerates ramp-up and internal adoption

Accelerates ramp-up and internal adoption

Accelerates ramp-up and internal adoption

Before / After

Before

Time to onboard a new hire 8 days

Time to onboard a new hire 8 days

Time to onboard a new hire 8 days

Time to onboard a new hire 8 days

Internal tool questions 15 per week per employee

Internal tool questions 15 per week per employee

Internal tool questions 15 per week per employee

Internal tool questions 15 per week per employee

Answers found without human help ~20%

Answers found without human help ~20%

Answers found without human help ~20%

Answers found without human help ~20%

Docs searched across tools Manually, app by app

Docs searched across tools Manually, app by app

Docs searched across tools Manually, app by app

Docs searched across tools Manually, app by app

With Copilot

Time to onboard a new hire 3–4 days

Time to onboard a new hire 3–4 days

Time to onboard a new hire 3–4 days

Time to onboard a new hire 3–4 days

Internal tool questions 3 per week

Internal tool questions 3 per week

Internal tool questions 3 per week

Internal tool questions 3 per week

Answers found without human help ~75%

Answers found without human help ~75%

Answers found without human help ~75%

Answers found without human help ~75%

Docs searched across tools Unified Copilot search

Docs searched across tools Unified Copilot search

Docs searched across tools Unified Copilot search

Docs searched across tools Unified Copilot search

How It Works

01

01
We ingest your docs (Notion, GDocs, PDFs, Confluence, etc.)

01

01
We ingest your docs (Notion, GDocs, PDFs, Confluence, etc.)

01

01
We ingest your docs (Notion, GDocs, PDFs, Confluence, etc.)

01

We ingest your docs (Notion, GDocs, PDFs, Confluence, etc.)

02

02
We map intents, define tone, and QA edge cases

02

02
We map intents, define tone, and QA edge cases

02

02
We map intents, define tone, and QA edge cases

02

We map intents, define tone, and QA edge cases

03

03
We deploy the Copilot in Slack, web chat, or internal tools

03

03
We deploy the Copilot in Slack, web chat, or internal tools

03

03
We deploy the Copilot in Slack, web chat, or internal tools

03

We deploy the Copilot in Slack, web chat, or internal tools

04

04
You monitor, iterate, and expand use cases

04

04
You monitor, iterate, and expand use cases

04

04
You monitor, iterate, and expand use cases

04

You monitor, iterate, and expand use cases

You've got questions,
we've got answers

You've got questions,
we've got
answers

How fast can we get an internal AI Copilot running?

Can we control what the Copilot can and can’t see?

Will the Copilot sound like ChatGPT, or like our company?

Does the Copilot work inside our existing tools?

Can we test the Copilot before a full rollout?

Is our internal data secure with an AI Copilot?

Does the Copilot require our team to change how they work?

How much internal time can an AI Copilot realistically save?

How fast can we get an internal AI Copilot running?

Can we control what the Copilot can and can’t see?

Will the Copilot sound like ChatGPT, or like our company?

Does the Copilot work inside our existing tools?

Can we test the Copilot before a full rollout?

Is our internal data secure with an AI Copilot?

Does the Copilot require our team to change how they work?

How much internal time can an AI Copilot realistically save?

How fast can we get an internal AI Copilot running?

Can we control what the Copilot can and can’t see?

Will the Copilot sound like ChatGPT, or like our company?

Does the Copilot work inside our existing tools?

Can we test the Copilot before a full rollout?

Is our internal data secure with an AI Copilot?

Does the Copilot require our team to change how they work?

How much internal time can an AI Copilot realistically save?

How fast can we get an internal AI Copilot running?

Can we control what the Copilot can and can’t see?

Will the Copilot sound like ChatGPT, or like our company?

Does the Copilot work inside our existing tools?

Can we test the Copilot before a full rollout?

Is our internal data secure with an AI Copilot?

Does the Copilot require our team to change how they work?

How much internal time can an AI Copilot realistically save?

What it means to deploy with Jett

01

A Copilot built around your knowledge, not someone else’s

02

Private, contextual, and updated in real time

03

Embedded where your team already works

04

Designed to reduce support, not add to it

05

No dashboards. No overhead. Just answers

Let's
build the
next big
thing
together

By

clicking

“Submit”

you

agree

to

our

and

Let's
build the
next big
thing
together

By

clicking

“Submit”

you

agree

to

our

and

Let's build the next big
thing together

By

clicking

“Submit”

you

agree

to

our

and

Let's build the
next big thing
together

By

clicking

“Submit”

you

agree

to

our

and