AI Center of Excellence

AI governance for organizations that can't afford to guess.

Most Salesforce orgs are adding AI before they're ready. The problems don't show up in the demo. They show up in production, in audit, and in board meetings. CCC's AI CoE practice builds the governance layer before the AI layer.

Take the AI Readiness Scorecard Book a Consultation
The Gap

82% of nonprofits use AI. Fewer than 10% have governance policies.

That gap is where things go wrong. Wrong donor data fed into a predictive model. AI-generated grant narratives that contradict program reality. Automated outreach that bypasses consent records.

These aren't hypothetical. They're patterns from real implementations that skipped the governance step.

"The AI gave patients two different account balances. An $8,000 governance assessment would have prevented a $30,000 failure."
82% of nonprofits use AI Source: Salesforce State of the Connected Nonprofit, 2024
<10% have governance policies
$30K Cost of a failed deployment
$8K Cost to prevent it
The CoE Toolkit

Three tools. One principle: clean data first, AI second.

AI Readiness Scorecard

15 questions. Five categories. A weighted score in under 2 minutes. Evaluates Data Quality, Governance Readiness, Automation Maturity, AI Preparedness, and Documentation Health.

Take the Scorecard

Human Validation Framework

Human review gates before AI outputs reach production. Defines who reviews, what escalation looks like, and how overrides get recorded. No handwave governance, no checkbox compliance.

Request a Framework Review

AI Decision Log

An auditable trail for every AI-assisted decision. Salesforce-native custom object recording confidence scores, human review status, and override history. Built for audit, compliance, and board reporting.

See How It's Built
Who We Work With

Built for organizations where AI errors have real consequences.

Nonprofit

Donor data, grant reporting, and constituent outreach all carry trust obligations. AI without governance is a compliance and reputational risk, not just a technical one.

Government

Federal and state agencies face OMB M-25-21 and emerging AI procurement requirements. GovCloud implementations need governance documentation that holds up to audit.

Healthcare

Patient data, clinical workflows, and billing systems are high-stakes. AI outputs touching these areas require human review gates and documented override protocols.

Enterprise

Large orgs with multiple Salesforce clouds and AI features activated across business units need a governance layer that works at scale, not just in a single sandbox.

Aligned With
  • NIST AI RMF AI Risk Management Framework
  • ISO 42001 AI Management Systems Standard
  • Salesforce Trusted AI Einstein Trust Layer Principles
  • OECD AI Principles on Artificial Intelligence
  • EU AI Act High-Risk Systems Compliance
Five Gates

Salesforce AI Governance Checkpoints: Five Gates Mapped to NIST AI RMF.

01

Data Quality Baseline

Completeness, accuracy, and consistency checks before any model training or AI feature activation.

Pass/Fail Gate

02

Bias and Fairness Review

Output review across demographic segments and data populations before production deployment.

Pass/Fail Gate

03

Human Review Assignment

Every AI output gets a named reviewer, an escalation path, and a documented override protocol.

Pass/Fail Gate

04

Audit Trail Activation

Decision Log deployed. Confidence scores, review status, and override history captured in Salesforce.

Pass/Fail Gate

05

Ongoing Monitoring

Scheduled reviews, drift detection, and governance report cadence established before go-live.

Pass/Fail Gate
13x Salesforce certified, including Data Architecture and App Architecture
30+ End-to-end implementations across nonprofit, government, and healthcare
160+ Students trained at NYU Tandon School of Engineering

Case Study

Healthcare organization, AI governance implementation.

The client had activated Einstein features across their Service Cloud org without a governance review. AI-generated case summaries were reaching agents without human validation. A billing discrepancy surfaced that was traced back to an AI-assisted recommendation with no override record.

CCC deployed the Human Validation Framework, configured the AI Decision Log as a custom Salesforce object, and documented escalation paths for three agent types. The engagement ran eight weeks from assessment to training.

8 weeks Assessment to training complete
$8K Assessment vs. $30K failure cost
100% AI outputs now reviewed before reaching agents
Services and Pricing

Fixed-scope engagements. No hourly surprises.

Every engagement is scoped before it starts. You know the deliverable, the timeline, and the cost before signing.

Service What's Included Who It's For Investment
AI Readiness Scorecard Free self-assessment, five-category weighted report Any org exploring AI Free
Governance Assessment Scored audit across NIST AI RMF, gap report, priority roadmap Orgs pre-Agentforce or post-Einstein activation $8,000
AI CoE Setup Human Validation Framework, AI Decision Log, governance documentation, training Orgs ready to build governance infrastructure $18,000
Agentforce Governance Agent scope review, guardrails configuration, escalation design, audit trail Orgs deploying or evaluating Agentforce Custom scoped
Data Quality Baseline Field completeness audit, deduplication, standardization, documentation Orgs with data quality gaps blocking AI adoption Custom scoped
Board-Ready AI Report Executive summary of AI usage, risks, governance status, and recommendations Orgs needing to report AI activity to leadership $3,500
Governance Training Half-day workshop for admin and technical teams on governance principles and tools Teams being handed AI tools without training $2,500

All engagements include a scoping document before work begins. No retainers. No surprises.