Marketing Operations
Give good work room to flow.
Explore the processes, handoffs and operating habits that help marketing teams use AI effectively.
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One clearer picture.
Open a perspective to explore the questions at the heart of this subject.
01Intake
Clarify the brief, owner and definition of done.
02Handoff
Make dependencies and review responsibilities visible.
03Delivery
Look back at delays and rework to improve the next cycle.
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Set realistic service levels for AI marketing work
Define turnaround, acceptance criteria and escalation for recurring AI marketing tasks, with expectations that reflect input quality and review capacity.
Read the articleLearn from rejected AI marketing outputs
Classify why AI drafts are rejected and repair the originating brief, source or reusable instruction instead of repeatedly correcting the same symptoms.
Read the articleAdd AI checks to the campaign launch review
Integrate checks for AI claims, links, audiences and tracking into the existing campaign launch process, with clear blockers and accountable approval.
Read the articleFind the manual work hidden inside AI automation
Audit exceptions, cleanup and approvals around automated campaigns to reveal where human effort remains and which process improvement should come next.
Read the articleAgree who approves AI work across agency teams
Define responsibility for AI drafts, factual review, campaign activation and corrections when an agency and an in-house marketing team share delivery.
Read the articleKeep product facts aligned across marketing AI tools
Assign authoritative product records and trace their downstream use so changes to prices, capabilities or availability reach campaign tools and AI assistants.
Read the articleStreamline approvals for English and Dutch AI content
Share factual approvals across EN and NL campaigns while preserving local language review, market conditions and checks on the final rendered experience.
Read the articleMeasure AI capacity through accepted marketing work
Count completed deliverables, review effort and rework to determine whether AI increases usable marketing capacity rather than merely generating more assets.
Read the articleBuild an AI skills library marketers can trust
Organize AI skills by real marketing tasks with owners, tested examples and review dates so colleagues can find a useful workflow and understand its limits.
Read the articleRetire an AI marketing workflow when its owner leaves
Inventory credentials, dependencies and scheduled actions before transferring or retiring an AI marketing workflow whose original owner is leaving the team.
Read the articlePlan releases for marketing workflows that use AI
Coordinate model, connector and policy changes with campaign deadlines and reviewer capacity so AI workflow updates have clear owners and recovery plans.
Read the articleTest marketing workflows before a model rollout
Use a small regression set to compare important marketing outcomes before a model update reaches production, including failures that averages can hide.
Read the articleAllocate AI credit costs to marketing campaigns
Track campaign-level AI costs with simple tags and explicit allocation rules, including retries and shared work, without pretending every charge is exact.
Read the articleRepair the handoffs in AI campaign production
Follow one campaign from approved brief to activation and make the required assets, decisions and status changes explicit at each team handoff.
Read the articlePrepare a marketing AI incident runbook
Prepare clear owners for pausing AI campaigns, investigating affected channels and approving corrections when inaccurate marketing content reaches customers.
Read the articleKeep campaign names and UTMs consistent with AI
Validate campaign identifiers generated by AI against a shared naming standard so analytics stay interpretable across channels, markets and creative variants.
Read the articleVersion the AI instructions your marketing team shares
Give shared prompts, skills and brand instructions an owner, change history and tested rollback path before they become part of recurring marketing work.
Read the articleReduce the bottleneck in AI content review
Separate waiting time from editorial work and route AI marketing outputs to the right reviewers without weakening checks on claims or customer impact.
Read the articleStart AI marketing requests with the business problem
Create an intake process that captures the desired result, available evidence, data needs and accountable owner before choosing an AI marketing tool.
Read the articleMeasure which marketing workflows actually use AI
Connect AI activity to accepted marketing deliverables and recurring tasks so adoption reporting reveals useful work rather than logins alone.
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MARKAIGEN / CHOOSE YOUR NEXT STEP AI marketing operations connects requests, tools, people and evidence. Before automating a task, define who supplies the brief, who checks the result and who may act on it. Record exceptions and rework alongside time saved. A connected workflow is useful when the next person can understand the output without reconstructing the entire conversation.Make the handoff part of the workflow