Anthropic priced its security trade-off and published it. Most Salesforce SOWs never mention one. Clients want an agent that sees everything and exposes nothing, and the consultant who lets both requirements survive discovery owns whatever happens next.

Anthropic had layered defenses, constant monitoring, and a three-week patch. The outcome still left their hands. Your org has dozens of ungoverned flows and an error inbox nobody reads. Audit the automation layer before an AI agent scales what it finds.

Eight weeks of governance. Three weeks of configuration. The eight governance weeks prevented a deployment that would have failed HIPAA later.

12,000 duplicate Account records overnight. The kill switch worked in 90 seconds. Cleanup took nine days. The agent had not tagged its records.

An AI Ethics Committee took four weeks to approve typo autocorrect. The same committee approved a Tier 3 Agentforce deployment in 30 minutes.

Three teams pointed at each other. Nobody was wrong. Everybody was responsible. Nobody was accountable. The fix was a custom object and one job title.

I've spent 9 posts telling you what's wrong with your Salesforce org. Here's the part I actually care about: it's all fixable. This guide covers the 30-60-90 day framework I use in every org health engagement. Assess first, fix second, govern third. Free roadmap template included

Turning on Einstein or Agentforce without checking your data is how AI projects fail. This is the readiness audit Salesforce admins should run before activating any AI feature, covering the five categories that determine whether your org is actually ready.

I assessed an org that deployed Agentforce before running a data quality audit. The agent was surfacing duplicate records to customers. They disabled it after 2 weeks. Implementation cost: $30K. This guide includes an AI readiness assessment covering data quality, duplication, field completeness, and sharing model review.

A board chair, a project manager, a system admin, and an end user walk into an AI policy. Three of them stop reading by paragraph two. Here is the fix.

A client migrated 70,000 records from their legacy system. They skipped deduplication. They skipped field mapping validation. They skipped UAT. The result: 12,000 duplicate Accounts, 8,000 orphaned Contacts, and a $25,000 cleanup project. This guide includes a 15-point pre-flight checklist.

"Human-in-the-loop" is on every AI vendor pitch deck. Almost none of them define what that means in practice. Here is what it actually requires.

Most Salesforce orgs run AI features on a data quality baseline of 58 out of 100. That is below the threshold for safe advisory work. Here is the 10-metric audit that fixes it.

The integration works. Nobody knows how. Nobody knows why. The person who built it left the company 18 months ago. The documentation is a Slack message from 2021 that says "should be good now." This guide includes a one-page integration documentation template for every API in your org.

A nonprofit director needed an AI strategy in 90 days. Her data wasn't ready. That conversation became the CCC AI Center of Excellence.

I ask every new client: "Who designed your sharing model?" The most common answer: silence. The second most common: "What's a sharing model?" This guide walks through a sharing model assessment covering OWD settings, role hierarchy, sharing rules, and permission set audits.

Salesforce mentioned nonprofits exactly zero times during the Headless 360 keynote. That does not mean the announcement does not affect you. It means nobody is translating it for you yet.

Every Salesforce org has a junk drawer. Fields nobody standardized, picklist values nobody consolidated, validation rules nobody documented. Humans worked around the mess. Agents will not. Here is what to fix first.

Your org is about to be operated by software that does not read error messages, does not check its work, and does not care what your page layout looks like. Here is a 5-step audit to find out if your data can survive that.

Your emails aren't reaching inboxes. Bounce rates are climbing. Engagement is dropping. Here's how to diagnose deliverability issues and fix them before your sender reputation tanks.