AI Agents for Social Media
You Keep the Final Say
The follow-through your team loses hours to: chasing approvals, planning calendars, triaging DMs, recovering failed posts, flagging at-risk clients. Every agent proposes; you confirm before anything runs.
The Copilot is the front door.
The agents are the crew.
When you want to ask, instruct, or explore, you talk to the AI Copilot, a conversational assistant on every screen that reads your live account data and executes what you ask, after you confirm. "What's pending approval for Acme?" "Draft next week's posts." "Which clients are at risk?"
The agents on this page are the other half: an autonomous crew working in the background, handling the follow-through nobody should have to ask for. Same rules for both: propose first, run only after your confirmation, log everything.
A specialist for every recurring job.
The Copilot does what you ask. The agents do what you'd rather not: the repetitive, easy-to-drop work that keeps an agency running day to day. Each owns a single job, works on your rules, and escalates the moment a real decision is needed.
Approval Shepherd
Once a post goes to a client for review, Approval Shepherd takes over the follow-through. It routes the post to the right approver, sends polite follow-ups when a review stalls, and reads the feedback that comes back. Minor requested fixes (a caption tweak, a hashtag swap) it applies itself; anything bigger goes to the account manager. Every follow-up, edit, and decision is written to a complete ledger, so when a client asks who changed what, the answer is one click away.
Its autonomy is limited to minor edits only. It can adjust a caption or swap a hashtag when a client asks for exactly that, but it cannot change creative direction, imagery, or strategy on its own. Follow-up pacing runs on your approval workflow settings, and its work counts against the monthly Credits budget you set.
The moment client feedback asks for a real decision (a new angle, a different visual, a strategy question), it stops and hands the thread to the account manager with full context, instead of guessing.
Content Suggestion + Monthly Planner
This agent generates on-brand content ideas grounded in each client's brand voice, best-performing posts, and the goals you agreed at onboarding. Each idea arrives with ready-to-use copy, a suggested platform and date, and a one-line reason it was chosen. Run it on demand or on a weekly cadence, and when you need volume, the Monthly Planner drafts an entire month of content in one pass: review the grid, tweak dates and platforms, and commit it to the calendar in a single click.
Everything it produces is a draft. Nothing lands on the calendar, let alone publishes, until you review and commit it. You choose the cadence, on demand or weekly per client, and generation runs inside your Credits budget.
By design, every idea is an escalation to you: each one carries its rationale and waits for your yes, your edit, or your delete. The agent never decides what a client's feed should say. It gives you a reviewed starting point instead of a blank calendar.
Reporting & Retention
Every week, this agent scores each client's churn risk and writes a plain-English outcome narrative that ties your work to results clients actually pay for (revenue and conversions from Google Analytics and your ad accounts, organic growth from Search Console) instead of follower counts. At-risk clients surface early, while there is still time to act on the relationship.
It analyzes and reports; it never messages clients or touches their accounts. The weekly run is automatic, scoped strictly to each client's own data, and metered through Credits like every other agent.
When a client's risk score climbs, it flags that client to you, on the dashboard and in the Owner Digest, so the renewal conversation starts weeks before the renewal date.
Owner Digest
Instead of checking dashboards every morning, the owner gets one consolidated brief: approvals that need attention, clients drifting toward risk, AI spend against budget, and what the agents did in the last day. You steer it in plain language (“only escalations”, “skip AI spend”, “only clients at risk 80+”) and it adapts to what you actually want to see.
Quiet by default: it sends only when something genuinely needs you, not on a schedule that trains you to ignore it. It summarizes and links; it never takes action on client accounts itself.
The digest is the escalation channel. When another agent needs a human decision (a stalled approval, a rising churn score, a publish failure it could not fix), it lands here, with the context you need to act.
Onboarding
When you add a new client, the Onboarding agent proposes a goals and KPI contract plus a setup checklist (brand voice, account connections, a first content plan) so the relationship starts anchored to a shared definition of success rather than an empty workspace. Agreed KPIs from day one are the strongest retention lever an agency has.
Goals are proposed, never assumed. Nothing in the contract or checklist takes effect until you review it, adjust it, and agree it with the client.
Its entire output is a proposal for your sign-off. If the inputs are thin (a sparse website, little history to ground brand voice on), it presents what it has and leaves the judgment calls explicitly to you.
Inbox Triage
Every incoming DM and comment across your connected accounts is classified (lead, question, complaint, pricing, spam), given an on-brand draft reply, and routed to the right place: leads to the account manager, complaints flagged for a human, spam silenced. Your team opens an inbox that is already sorted, with replies ready to review and send.
Drafts only by default: no reply leaves the building until a human approves it. Auto-send exists, but it is an explicit opt-in you enable per client, restricted to safe, high-confidence reply types, and you can switch it off at any time. Usage runs inside your Credits budget.
Complaints and anything sensitive are escalated to a human rather than answered automatically, and low-confidence drafts stay drafts. Leads route straight to the account manager so a warm prospect never sits in a queue.
Publish Recovery
When a post fails to publish, this agent diagnoses why: an expired token, a rate limit, a transient platform glitch, a media or format issue, a policy block. Failures that are safe to retry, it retries automatically. The rest it escalates with the exact cause and the specific fix, so nobody discovers a missed post days after a client did.
It only retries failures that are genuinely transient. It never alters your content, never rewrites a caption to force a post through, and never switches platforms on its own. Anything beyond a clean retry becomes a human decision.
Persistent failures (a connection that needs re-authorizing, a policy block, a format problem) come to your team with the cause named and the remedy spelled out, not a generic publish error.
What the agents won't do
Trust is easier to keep when the limits are explicit. Out of the box, here's where every agent stops.
Publish, send, or edit without your confirmation
Auto-send for inbox replies and auto-approve for stalled reviews exist in the approval workflow, but both are explicit opt-in settings, off until you turn them on per client.
Make strategy or creative-direction calls
A new angle, a tone change, a budget question: anything with judgment in it escalates to you with full context.
Cross between clients or agencies
Every agent is tenant-isolated. Client A's voice, goals, and history never bleed into Client B's drafts, and another agency's data is architecturally out of reach.
Spend past the AI budget cap you set
Credits budgets come with a warning threshold and an optional hard cutoff, so AI spend can never run away.
Act off the record
Every action (proposed, confirmed, declined, or escalated) lands in the audit ledger, with who ran it and what the result was.
You keep the final say.
Every limit above is on by default, and the few exceptions are opt-in, per client, reversible anytime.
AI you can hold accountable
Most AI tools meter usage in opaque tokens and surprise you at invoice time. CampaignSwift shows agent usage as simple Credits, with per-agent and per-client breakdowns, so you always know which agent is doing what for whom, and what it costs.
Set a monthly budget with a warning threshold and an optional hard cutoff, and AI spend can never run away. When anyone asks "why did this happen?", the audit ledger answers: what was proposed, who confirmed it, and what the result was.
Watch the agents run
AI Agents, answered
Common questions about how the agents work, and where they stop.
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