AI Services for Teams

Clean data. Clear ownership. Steady automation.

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AI only works when your data and workflows do.
Our AI services help teams prepare, govern, and review automation with human clarity.
No guesswork, no overengineering, no jargon. Just structure and trust.

What We Offer

  • AI Governance Assessment

    Short review of your setup, data, and AI touchpoints. You get a list of risks and a plan to steady them.

  • AI Data Preparation

    Ensure your data is ready for automation. Clean inputs mean clean results.


  • Accountability Framework Setup

    Define who owns what, when reviews happen, and how issues are handled.

  • Human Review & Oversight

    Add checkpoints that keep AI human-centered and safe.

“Our goal isn’t to slow teams down. It’s to make automation explainable.”
— Jeremy Carmona

Start building clarity into your automation.

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FAQs

  • It’s the process of deciding who owns an AI system, what data it uses, how often it gets reviewed, and what happens when it gets something wrong. If you’ve ever said “the model usually gets it right,” this is for you.

  • Yes. If AI touches data, produces recommendations, or triggers automation, it needs oversight. The risk is not how “advanced” the AI is — it’s how quietly it can make mistakes.

  • Four pieces:

    1. Data hygiene

    2. Ownership and review loops

    3. Risk checks

    4. Documentation and audit trails If you’re missing any of these, your AI will behave unpredictably.

  • Salesforce tools still rely on the same rules: clear inputs, clear outputs, and human review. AI native to Salesforce doesn’t remove the need for governance — it simplifies where the guardrails sit.

  • You don’t need one. A two-person loop works: one person checks the outputs, the other owns the workflow. Small teams also have an advantage: fewer systems, fewer surprises.tem description

  • Start with transparent data use, clear opt-ins, review loops on donor-facing content, and a lightweight audit log. AI should amplify impact, not create PR headaches.

  • Only if your current workflows depend on speed instead of accuracy. Governance reduces rework, backtracking, and “why did AI do that?” conversations. The slowdown you fear is smaller than the cleanup you avoid.

  • Run a 20-minute audit:

    • What data do we rely on?

    • Who touches it?

    • Who reviews outputs?

    • What breaks if AI is wrong? Your second step is using the Accountability Checklist.escription

    • High-risk workflows: weekly

    • Medium-risk: biweekly or monthly

    • Low-risk: when system behavior changes If it affects money, access, or donors, check it more often.

  • Yes. CCC supports:

    • AI Accountability Assessments

    • Governance frameworks

    • Human-in-the-loop design

    • Nonprofit AI oversight

    • Salesforce-admin-ready workflows Just ask.