The Agentforce Readiness Playbook: 7 things to fix before you turn agents on.

Agentforce doesn't fail because the AI isn't good enough. It fails because the org underneath it is a black box — and no agent can reliably act on data, permissions, and processes nobody fully understands.

Placeholder body copy for the article template. This paragraph shows the base reading size, measure, and rhythm of the prose column. Real posts drop in here — long-form playbooks, teardown write-ups, customer stories — all using the same styles so every article on the site looks like it belongs to one publication.

Why AI breaks on messy orgs

Set up the problem the piece addresses. Most Salesforce orgs have accumulated years of fields, flows, and packages added by people who've since moved on. That complexity is invisible until something depends on it — and an AI agent depends on all of it at once.

Continue the argument. Use bold for the ideas that carry weight, and keep paragraphs tight so the piece scans on mobile as well as it reads on desktop.

1. Map what's actually there

Each numbered step in the playbook gets an h2 and a short explanation. Screenshots and diagrams sit inline at full column width:

A sub-point

Use h3 for sub-points within a step. Lists work for concrete, scannable items:

• First concrete thing to check or do.
• Second — kept to a line or two each.
• Third, with the payoff spelled out.

2. Close the permission gaps agents inherit

Placeholder for the next step. Over-permissioned profiles aren't just an audit finding — an agent inherits every one of them. The section explains how to find and close them before go-live.

3. Retire the automations no one owns

Placeholder for the next step, keeping the same structure so the whole playbook reads consistently top to bottom.

The 2-minute starting point

Close by connecting the playbook back to the product without overselling — the scan is how a reader turns the advice into a picture of their own org today.