Using AI fields

Good Grants AI fields deliver responsible, privacy-first artificial intelligence for grant management, at scale. 

What are AI fields?

AI fields are an optional field type that you can add to your application form. They let you and your team ask natural language questions to:

• Generate summaries
• Draft feedback
• Analyse reviewing results
• Surface key insights

All processing occurs securely within your Good Grants account, ensuring your data remains private.

Should my program use AI fields? 

Optional, secure, and designed to help you work smarter, faster, and more fairly, this field type introduces accessible AI capabilities into Good Grants—all without exposing your awards data to third parties. Each AI field operates within the Good Grants virtual private cloud (VPC), ensuring complete privacy, compliance, and control.

Whether managing fifty submissions or five thousand, AI fields help you scale your decisions, feedback, and efficiency safely.

What AI models can I use?

You can view available models in your region via Settings > General > AI models.

Below is a quick reference showing which models may be available in each region, and whether they require international data transfer for processing.

✅ = Available in region

✈️ = Available via international data transfer (data processed outside your region)

❌ = Unavailable in region

We strongly recommend working with your legal team to evaluate your available options to comply with local privacy and data regulations. 

What are the costs associated with this feature? 

The AI field type is included at no additional subscription cost. Usage is measured in AI tokens, which can be purchased in advance and automatically deducted as you use the feature.

Each account begins with free credit (outlined below) to explore AI fields before committing to additional usage.

Input tokens are what you give the AI.For our AI tool, this is the combination of the prompt and context—for example, the instructions and the full application or judging data.

Output tokens are what the AI gives in response.

To purchase additional credits, contact our client success team. 

Configure an AI field

1. In the Manage workspace, go to Settings > General > AI tools
2. Accept the terms and toggle on AI tools—this is required once
3. Go to Applications
4. Click Edit form and choose a form from the drop-down
5. Choose where you’d like to add the AI field, hover your cursor, and click the + icon
6. In the configuration tray, set the Field type to AI (beta)
7. Add a Label and Short title
8. In the 'Options' section, enter your Prompt — see examples below
9. Select your desired Trigger(s) — see list below
10. Choose an AI model
11. Tick the checkboxes for which data areas the AI field should access under Context provided with prompt
12. As with other field types, configure category visibility, applicant access, conditional logic, and more
13. Click Save

Available triggers

Good Grants currently offers two triggers, with more planned for future releases.
Each trigger uses both entry and judging information for context.

Example prompts to get you started

AI fields allow awards managers to uncover insights quickly and fairly — without compromising security.
Below are prompt examples by purpose and complexity level.

Informational prompts

• Simple
  • Summarise this application in two sentences.
  • List the applicant’s key achievements in this application.
  • Count the total number of words used in this application.
• Intermediate
  • Summarise the applicant's claims of excellence or innovation.
  • Extract all metrics or evidence provided to support the application.
• Advanced
  • Create a concise overview that captures the spirit of the application, what makes it stand out, and why it was submitted for recognition.

Evaluation prompts

• Simple
  • List all reviewers who assessed this application and show their average scores.
  • Summarise the overall sentiment of the reviewers.
  • List the strengths and weaknesses highlighted by reviewers.
• Intermediate
  • Summarise how the reviewers’ comments reflect their scoring.
  • Highlight the main reasons reviewers felt this application should or shouldn’t be selected.
  • Identify recurring themes in the reviewing feedback.
• Advanced
  • Pretend you are an auditor. In fewer than 50 words, evaluate the reviewers’ average scores for this application and identify significant deviations. Summarise your findings in bullet points followed by a one-sentence takeaway.

Insight prompts

• Simple
  • Summarise how effectively this application demonstrates excellence in its category.
  • Identify sentences in this application that appear subjective.
• Intermediate
  • Suggest improvements if this application were resubmitted next year.
• Advanced
  • Generate a three-part summary titled About the application, reviewing feedback, and key highlights, using the application entry as context but excluding identifiable information.

Good to know

• Use descriptive adjectives and clear outcomes in prompts to improve results.
• Explain why you’re asking and how you want responses formatted (e.g. bullet points, numbered lists, under 50 words).
• AI fields can be hidden from applicants and reviewers for internal program use.
• Data protection options are available for programs that collect personal data.
• Monitor usage and manage models under Settings > General > AI models.
• Token usage varies by request—use your account credit to estimate your organisation's needs. 
• Additional triggers and model integrations will be added in future releases.