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Visibility

Know what's actually happening

See who's using AI, which tools, and what's working. Stop guessing when leadership asks questions. Have real answers about adoption and impact.

Protection

Move fast without breaking things

Set clear policies. Track compliance automatically. Keep legal satisfied and innovation moving. Manage risk without becoming the bottleneck.

Momentum

Turn wins into compound advantage

When one team discovers something that works, everyone can use it. Knowledge spreads across departments. Small wins become big advantages.

Proof

Show the value you're creating

Track real impact across teams. See what's driving results. Export reports when you need them. Justify investment with data, not stories.

World's first operating system for AI Adoption.
Measure impact, see what's happening, govern safely,
and spread what works.

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Does this sound familiar?

AI Adoption Challenges

Our employees are definitely using AI tools, but we have no idea which ones, for what, or if any sensitive data is being shared.

Someone asked me 'what tools are we actually allowed to use?' and I realized... we never actually defined that. It's just sort of implied.

I have the policy exceptions written down in an Excel file somewhere. It would take me some time to find it and figure out what we actually approved.

We have three different pilot projects going on. I think. Maybe four? I honestly don't know the status on any of them.

Legal keeps asking me for our AI governance framework. I keep telling them we're working on it. It's been four months.

My team keeps asking 'where can I learn how to use these AI tools properly?' We bought the licenses but didn't think about training.

Engineering has apparently been using AI for code reviews for six months. Product had no idea. Nobody tells anyone what's working.

We did a lunch-and-learn with our AI experts. Eight people showed up. We have 200 employees. The content just sits there unused.

I asked my department heads which AI projects are highest priority. They all looked at each other. Nobody knew who was supposed to decide that.

Some people on my team are 10x faster with AI. The rest don't know where to start. The gap is getting worse every week.

My board asked 'what's our AI ROI?' and I just... I had nothing. Just stories about people using ChatGPT. No numbers.

We need people to share what's working, but why would they? There's no recognition, no reward. It's just extra work for them.

We bought ChatGPT licenses for everyone. Maybe 30% have logged in. I'm spending $60K on something most people aren't even using.

Our employees are definitely using AI tools, but we have no idea which ones, for what, or if any sensitive data is being shared.

Someone asked me 'what tools are we actually allowed to use?' and I realized... we never actually defined that. It's just sort of implied.

I have the policy exceptions written down in an Excel file somewhere. It would take me some time to find it and figure out what we actually approved.

We have three different pilot projects going on. I think. Maybe four? I honestly don't know the status on any of them.

Legal keeps asking me for our AI governance framework. I keep telling them we're working on it. It's been four months.

My team keeps asking 'where can I learn how to use these AI tools properly?' We bought the licenses but didn't think about training.

Engineering has apparently been using AI for code reviews for six months. Product had no idea. Nobody tells anyone what's working.

We did a lunch-and-learn with our AI experts. Eight people showed up. We have 200 employees. The content just sits there unused.

I asked my department heads which AI projects are highest priority. They all looked at each other. Nobody knew who was supposed to decide that.

Some people on my team are 10x faster with AI. The rest don't know where to start. The gap is getting worse every week.

My board asked 'what's our AI ROI?' and I just... I had nothing. Just stories about people using ChatGPT. No numbers.

We need people to share what's working, but why would they? There's no recognition, no reward. It's just extra work for them.

We bought ChatGPT licenses for everyone. Maybe 30% have logged in. I'm spending $60K on something most people aren't even using.

Our employees are definitely using AI tools, but we have no idea which ones, for what, or if any sensitive data is being shared.

Someone asked me 'what tools are we actually allowed to use?' and I realized... we never actually defined that. It's just sort of implied.

I have the policy exceptions written down in an Excel file somewhere. It would take me some time to find it and figure out what we actually approved.

We have three different pilot projects going on. I think. Maybe four? I honestly don't know the status on any of them.

Legal keeps asking me for our AI governance framework. I keep telling them we're working on it. It's been four months.

My team keeps asking 'where can I learn how to use these AI tools properly?' We bought the licenses but didn't think about training.

Engineering has apparently been using AI for code reviews for six months. Product had no idea. Nobody tells anyone what's working.

We did a lunch-and-learn with our AI experts. Eight people showed up. We have 200 employees. The content just sits there unused.

I asked my department heads which AI projects are highest priority. They all looked at each other. Nobody knew who was supposed to decide that.

Some people on my team are 10x faster with AI. The rest don't know where to start. The gap is getting worse every week.

My board asked 'what's our AI ROI?' and I just... I had nothing. Just stories about people using ChatGPT. No numbers.

We need people to share what's working, but why would they? There's no recognition, no reward. It's just extra work for them.

We bought ChatGPT licenses for everyone. Maybe 30% have logged in. I'm spending $60K on something most people aren't even using.

Our employees are definitely using AI tools, but we have no idea which ones, for what, or if any sensitive data is being shared.

Someone asked me 'what tools are we actually allowed to use?' and I realized... we never actually defined that. It's just sort of implied.

I have the policy exceptions written down in an Excel file somewhere. It would take me some time to find it and figure out what we actually approved.

We have three different pilot projects going on. I think. Maybe four? I honestly don't know the status on any of them.

Legal keeps asking me for our AI governance framework. I keep telling them we're working on it. It's been four months.

My team keeps asking 'where can I learn how to use these AI tools properly?' We bought the licenses but didn't think about training.

Engineering has apparently been using AI for code reviews for six months. Product had no idea. Nobody tells anyone what's working.

We did a lunch-and-learn with our AI experts. Eight people showed up. We have 200 employees. The content just sits there unused.

I asked my department heads which AI projects are highest priority. They all looked at each other. Nobody knew who was supposed to decide that.

Some people on my team are 10x faster with AI. The rest don't know where to start. The gap is getting worse every week.

My board asked 'what's our AI ROI?' and I just... I had nothing. Just stories about people using ChatGPT. No numbers.

We need people to share what's working, but why would they? There's no recognition, no reward. It's just extra work for them.

We bought ChatGPT licenses for everyone. Maybe 30% have logged in. I'm spending $60K on something most people aren't even using.

I asked Sarah how she's using AI and she said 'am I allowed to?' I realized we never actually communicated what's approved.

Someone told me Support has an amazing AI workflow for tickets. I have no idea what it is, who built it, or how to find it.

My CFO keeps asking which AI projects are worth the investment. I have no way to compare them or track what's actually delivering value.

We don't have anyone officially responsible for AI adoption. It's just kind of... everyone's problem? Which means it's nobody's problem.

I don't even know who to ask about AI in our company. Is there someone who knows this stuff? Do we have internal experts I could connect people with?

One of my best employees asked me 'once AI can do everything I do, what's my role here?' I didn't have a good answer.

Our managers keep asking how they're supposed to help their teams with AI. We haven't given them any guidance or resources.

We track revenue, burn rate, hiring metrics. But AI metrics? No idea where those would even live or what we'd measure.

Someone asked me last week 'what tools are prohibited?' and I realized we only told people what they can use, not what they definitely shouldn't.

We sent everyone to a Udemy course on AI. I checked the completion rate. 11%. The content was too generic, too boring, not relevant to our work.

I know James in Sales is crushing it with AI. But when I asked him to share what he's doing, he said 'why? what's in it for me?' Fair question.

How do we evaluate if an AI project is working? Speed? Quality? Cost savings? Risk reduction? We don't have a consistent way to measure.

My VP asked 'what are our expected outcomes from AI adoption?' I gave a vague answer about productivity. She wasn't satisfied. Neither was I.

I asked Sarah how she's using AI and she said 'am I allowed to?' I realized we never actually communicated what's approved.

Someone told me Support has an amazing AI workflow for tickets. I have no idea what it is, who built it, or how to find it.

My CFO keeps asking which AI projects are worth the investment. I have no way to compare them or track what's actually delivering value.

We don't have anyone officially responsible for AI adoption. It's just kind of... everyone's problem? Which means it's nobody's problem.

I don't even know who to ask about AI in our company. Is there someone who knows this stuff? Do we have internal experts I could connect people with?

One of my best employees asked me 'once AI can do everything I do, what's my role here?' I didn't have a good answer.

Our managers keep asking how they're supposed to help their teams with AI. We haven't given them any guidance or resources.

We track revenue, burn rate, hiring metrics. But AI metrics? No idea where those would even live or what we'd measure.

Someone asked me last week 'what tools are prohibited?' and I realized we only told people what they can use, not what they definitely shouldn't.

We sent everyone to a Udemy course on AI. I checked the completion rate. 11%. The content was too generic, too boring, not relevant to our work.

I know James in Sales is crushing it with AI. But when I asked him to share what he's doing, he said 'why? what's in it for me?' Fair question.

How do we evaluate if an AI project is working? Speed? Quality? Cost savings? Risk reduction? We don't have a consistent way to measure.

My VP asked 'what are our expected outcomes from AI adoption?' I gave a vague answer about productivity. She wasn't satisfied. Neither was I.

I asked Sarah how she's using AI and she said 'am I allowed to?' I realized we never actually communicated what's approved.

Someone told me Support has an amazing AI workflow for tickets. I have no idea what it is, who built it, or how to find it.

My CFO keeps asking which AI projects are worth the investment. I have no way to compare them or track what's actually delivering value.

We don't have anyone officially responsible for AI adoption. It's just kind of... everyone's problem? Which means it's nobody's problem.

I don't even know who to ask about AI in our company. Is there someone who knows this stuff? Do we have internal experts I could connect people with?

One of my best employees asked me 'once AI can do everything I do, what's my role here?' I didn't have a good answer.

Our managers keep asking how they're supposed to help their teams with AI. We haven't given them any guidance or resources.

We track revenue, burn rate, hiring metrics. But AI metrics? No idea where those would even live or what we'd measure.

Someone asked me last week 'what tools are prohibited?' and I realized we only told people what they can use, not what they definitely shouldn't.

We sent everyone to a Udemy course on AI. I checked the completion rate. 11%. The content was too generic, too boring, not relevant to our work.

I know James in Sales is crushing it with AI. But when I asked him to share what he's doing, he said 'why? what's in it for me?' Fair question.

How do we evaluate if an AI project is working? Speed? Quality? Cost savings? Risk reduction? We don't have a consistent way to measure.

My VP asked 'what are our expected outcomes from AI adoption?' I gave a vague answer about productivity. She wasn't satisfied. Neither was I.

I asked Sarah how she's using AI and she said 'am I allowed to?' I realized we never actually communicated what's approved.

Someone told me Support has an amazing AI workflow for tickets. I have no idea what it is, who built it, or how to find it.

My CFO keeps asking which AI projects are worth the investment. I have no way to compare them or track what's actually delivering value.

We don't have anyone officially responsible for AI adoption. It's just kind of... everyone's problem? Which means it's nobody's problem.

I don't even know who to ask about AI in our company. Is there someone who knows this stuff? Do we have internal experts I could connect people with?

One of my best employees asked me 'once AI can do everything I do, what's my role here?' I didn't have a good answer.

Our managers keep asking how they're supposed to help their teams with AI. We haven't given them any guidance or resources.

We track revenue, burn rate, hiring metrics. But AI metrics? No idea where those would even live or what we'd measure.

Someone asked me last week 'what tools are prohibited?' and I realized we only told people what they can use, not what they definitely shouldn't.

We sent everyone to a Udemy course on AI. I checked the completion rate. 11%. The content was too generic, too boring, not relevant to our work.

I know James in Sales is crushing it with AI. But when I asked him to share what he's doing, he said 'why? what's in it for me?' Fair question.

How do we evaluate if an AI project is working? Speed? Quality? Cost savings? Risk reduction? We don't have a consistent way to measure.

My VP asked 'what are our expected outcomes from AI adoption?' I gave a vague answer about productivity. She wasn't satisfied. Neither was I.

We interviewed leaders from various industries, and found AI Adoption challenges that resonate with many.

If these sound like conversations you've had with your leaders, we built the AI Ready Platform for you.


You are on a journey

let us guide you to measurable adoption

You started here

Bought the tools

Your team has licenses for ChatGPT, Claude, Copilot. Some people are using them. Most aren't sure what's allowed or where to start.

Bought the tools
Step 2

Set the foundation

Define what's allowed with policy templates. Create a library of approved tools. Give your team clarity on what they can use safely.

Policy Builder

Tools Library

Set the foundation
Step 3

Help people learn

Curated learning paths show people how to get started. Recognition for contributions keeps momentum going. People improve at their own pace.

Learning Centre

Rewards & Recognition

Help people learn
Step 4

Share what works

Teams submit use cases. Others browse the prompt library. What works in Sales gets adapted by Support. Knowledge compounds instead of staying siloed.

Use Case Submission

Prompt Library

Share what works
You've arrived

See the results

Activity feed shows what's happening. Dashboard tracks adoption across teams. Scorecards measure real impact. You have the data your board is asking for.

Activity Feed

Scorecard

Dashboard

See the results

This isn't a theoretical path... it's what actually happens when you systematize AI adoption. Weeks to clarity, not months of chaos.

Everything you need in one place.

Policy Builder

Start with templates for your industry. Customize what's allowed. Update as you learn. Keep everyone aligned.

Use Case Approval

Team members submit what they want to try. You review and approve. Track everything for compliance. Usually takes less than a day.

Prompt Library

Browse what teammates are using. Copy and adapt what works. Stop reinventing the same solutions. Share knowledge automatically.

Learning Centre

Help people get started. Curated content by topic. Learn by doing, not watching hours of videos.

ROI Dashboard

Track adoption across teams. Measure time saved and value created. Export reports for board meetings.

Activity Feed

See what's working across the company. Celebrate wins. Create momentum through visibility. Make adoption social.

All features included. No tiers, no upsells.

Simple pricing that scales with you

All features included. No tiers, no upsells.

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