KPI Fire’s Ai Policy & Approach

At KPI Fire, we believe in using AI to enhance—never compromise—your experience, data security, and trust. As we continue to implement AI-powered features to drive Continuous Improvement and Strategy Execution, we want to be transparent about our principles:

  1. Your Data Is Yours.
    We do not use any customer data to train Large Language Models (LLMs). Your data remains private, secure, and exclusively under your control.
  2. AI Is Opt-In.
    Any use of AI-powered features in KPI Fire will be opt-in only. You will always have the choice to enable or disable AI functionality based on your preferences and needs.
  3. We Build With You.
    We actively welcome customer feedback and collaboration in shaping our AI roadmap. Your insights help us develop AI solutions that deliver real value to your teams and align with your strategic goals.

We’re committed to building responsible, secure, and useful AI tools—always with transparency, accountability, and customer involvement at the core.

Available Ai Related Features:

  • API Integrations for all records in KPI Fire. All major record types are available via API access. This means most ai agents can already have a path to connect with your KPI Fire data.
  • Ai Assistant Chat – “Help me..”  Trained with the documentation libraries from app.kpifire.com help center.
    • On/Off Option per account. This Ai agent is available by via access request through your Customer Success Manager.
    • Currently in-training.
  • Ai Project Charter Enhanced inputs: This Ai Assistant helps create a better problem statement, goal statements, and project scope.  (Technical Documentation sheet)
    • On/Off Option per account.  Request access via your Customer Success Manager.
  • OpenAi Dots, Grokbot, Hermes agents can pass data to KPI Fire Metrics via api.
    • Available to all accounts with Admin Licenses. API Keys required.
  • Using Excel & OpenAi to update KPI Fire metric interval data:  Help me connect this excel spreadsheet to the KPI Fire APis so I can push my daily production report data to KPI Fire.
  • Metric Taxonomy GPT.  This Ai agent takes an input of all of your metrics and provides recommendations for improved naming taxonomy. (video) (gpt link)
    • Export your list of metrics from KPI Fire.
    • Use the GPT to create a set of recommended changes to the naming structure of your metrics.

Ai Roadmap: A few of the Features in Development or Consideration phase:

  • Ask Co-Pilot about our company KPI Fire data:
    • Ask Microsoft Co-Pilot questions about your actual Goal, Metric, and Project data inside KPI Fire. We are exploring options through custom connectors in power automate, co-pilot, and dataverse.
  • MCP Server Integrations
  • Parse my KPIs.
    • This GPT takes any Strategic Plan format (.doc, pdf, xls, ppt) as an input and outputs suggestions for Goals, Metrics, and Projects in KPI Fire based on your plan.
  • Ai Assistant Feature Request or Bug Report:
    • Simplify Feature Request or bug submission process. This agent will simplify the submission of bugs or enhancement requests for customers.
  • Ai Idea Funnel Agent:
    • Help me route ideas to the best possible owner. (improve charter, add tags, change category, change owner)
    • Help me move ideas through the idea funnel.
    • Help me enforce the service levels in my idea funnel.
    • Help me recognize duplicates
  • Ai Metric Data Collection Assistant:
    • Help me update my metrics for a scorecard/huddle board.
  • Project Presentation Agent:
    • Takes a standard project charter and converts it into a pleasing visual presentation or graphic poster.
  • Project Benefit Calculator Agent:
    • Help me calculate the financial benefits of this project using Ai Agent.

If you have an interest in any of these features we invite you to contact your Customer Success Manager and you may be able to participate in beta testing of these features.