Review and approve every employee advocacy post before it goes live. Full governance without killing publishing speed.
What is an employee advocacy approval workflow? An employee advocacy approval workflow routes every generated or submitted post through a review queue before it is scheduled or published. Marketing admins review, edit inline, and approve or return posts — from a single view. No post reaches LinkedIn or X without a human review step.
When advocacy programs scale to ten or twenty employees, the brand risk scales with them. One off-brand post, one unsupported claim, one tone-deaf take — and the story becomes about that post, not the product or company behind it. Most advocacy tools solve the distribution problem. Very few solve the governance problem.
The standard workaround is a Slack approval channel: employees paste their draft, a marketing manager replies, and the employee publishes when they get a thumbs up. This works for two employees. It breaks at fifteen. Posts get lost in threads, reviewers miss messages, and urgency pressure leads to posts going live unreviewed.
Bloomberry's approval queue centralizes this. Every post — generated by AI or written by the employee — enters the queue in a pending state. Reviewers process all pending posts from one view. Nothing goes live until a human approves it.
When a campaign runs, every generated post enters the approval queue before it reaches the employee or scheduler. The reviewer sees the post text, the employee it was written for, the platform, and the source signal — all in one card.
Reviewers can approve the post as-is, edit it inline before approving, or return it for revision with a note. Returned posts notify the employee or agency contact. Approved posts move to the scheduled queue — ready to publish at the employee's optimal time.
Employees who draft their own posts in Bloomberry's writer can submit to the approval queue rather than publishing directly. The reviewer sees employee-submitted and AI-generated posts in the same view — one queue, not two different systems.
Approved posts are scheduled and published to the connected platform. The reviewer does not need to handle scheduling — approval is the last manual step before publication.
For financial services, healthcare, legal, and other regulated industries, employee social content carries real compliance risk. Bloomberry's approval queue is the required human checkpoint — every post goes through a review before it is scheduled or published. No AI-generated content goes live unreviewed.
Combined with Bloomberry's AI-level dialect scanning — which removes unsupported claims, generic phrasing, and compliance red flags before the post even reaches the queue — most posts require minimal intervention to approve.
An employee advocacy approval workflow routes every generated or submitted post through a review queue before it is scheduled or published. Marketing admins see every post, can edit or flag issues inline, and approve or return posts for revision — all from a single view without switching between tools or Slack threads.
Yes. Bloomberry's approval queue shows every generated post in a pending state before it reaches LinkedIn or X. Marketing teams can review, make edits, and approve — or return a post for revision with a note. No post goes live without a human review step.
Not if the approval queue is designed well. Bloomberry's approval view shows all pending posts in a single list with inline editing, so reviewers can process multiple posts in one sitting. A centralized queue is faster than Slack DMs and shared docs.
Bloomberry's approval queue gives marketing and compliance teams a step between content generation and publication. Every post is reviewed by a human before it is scheduled. This is the minimum governance layer required by most regulated industries — financial services, healthcare, legal — where employee social content carries compliance risk.
Yes. Employees can draft posts in Bloomberry's writer, then submit them to the approval queue rather than publishing directly. Marketing reviews and approves before the post goes live, maintaining governance over employee-initiated content alongside AI-generated campaign posts.
Posts that fail review can be returned for revision with an inline note from the reviewer. Reviewers can also edit the post directly in the approval queue and approve it immediately — they are not limited to approve or reject. This two-step option means most posts get resolved in one review cycle.
The approval queue is the human checkpoint between AI generation and employee publication. It catches off-brand language, unsupported claims, policy violations, or tone mismatches before they reach an audience. Combined with Bloomberry's AI-level dialect scanning, most posts need minimal intervention before approval.
Every post reviewed before it goes live — without managing it through Slack, email threads, or shared docs.