How deeply is AI deployed across your company?

AI adoption assessment

1. 01Company team sizeTotal people, including contractors.

   1–10 11–50 51–200 201–500 501–1,000 1,001–5,000 5,000+

   Choose your team size.

2. 02Number of developersSoftware engineers, data engineers and ML engineers.

   Drag to choose

   01–56–2021–5051–100101–250251–500501–1k1k+

   Set the number of developers (drag or use arrow keys).

3. 03AI tools currently usedSelect all that apply.

   GitHub Copilot Cursor Claude Code ChatGPT Team / Enterprise Microsoft 365 Copilot Gemini for Workspace Glean Salesforce Agentforce ServiceNow Now Assist Zapier / Make AI n8n Internal / custom-built None yet

   Other tools (optional)

   Select at least one option, or "None yet".

4. 04AI models currently usedDirectly or through a platform. Select all that apply.

   OpenAI GPT Anthropic Claude Google Gemini Meta Llama Mistral DeepSeek Qwen Azure OpenAI AWS Bedrock Self-hosted / fine-tuned Not sure None yet

   Select at least one option, "Not sure" or "None yet".

5. 05Average monthly AI spendLicenses, API and token usage, and GPU compute combined.

   Average monthly AI spend Select a range $0, not spending yet Under $1,000 $1,000 – $5,000 $5,000 – $25,000 $25,000 – $100,000 $100,000 – $500,000 $500,000+ Not sure

   Choose a spend range, or "Not sure".

6. 06What is running in production?Live on real volume with an owner, not pilots or demos. Your best estimate is fine.

   AI agents in production

   − +

   Software that takes actions with tools, e.g. an agent that triages tickets.

   07AI workflows in production

   − +

   Business processes where AI does a step, e.g. invoice extraction or lead scoring.

   Enter a number for both (0 is a valid answer).

7. Where should we send your summary?A senior engineer reviews every assessment personally.

   Name

   Work email

   Company

   Role (optional)

   Add your name, a valid work email and your company.