Define the before state before measuring AI
Marketing brief generation is a good AI ROI candidate because the workflow is repeated, text-heavy, and easy to compare before and after. The RSM middle-market AI survey shows middle-market AI adoption accelerating, but a finance leader should still require proof tied to how the work changes.
Start by baselining brief cycle time, number of revisions, missing inputs, approval delays, handoff quality, and downstream rework. Then define what AI is allowed to do: gather approved source material, draft a structured brief, check for missing inputs, and prepare reviewer questions. The human owner still approves the brief.
Use AI ROI measurement without fake savings as the finance guardrail. Do not count every theoretical saved minute as margin unless staffing, pricing, throughput, or quality actually changes.
Measure rework reduction and approval quality
The OECD report on AI adoption by small and medium-sized enterprises emphasizes that AI adoption depends on process ownership, skills, and data readiness. For a marketing brief, that means approved inputs, campaign context, customer segment definitions, brand guidance, channel requirements, and a reviewer who owns final quality.
The NIST AI Risk Management Framework helps keep the pilot grounded. Map the workflow, define acceptable sources, measure output quality, and manage risks around brand accuracy, client confidentiality, and unsupported claims. AI should prepare a stronger draft, not create a publishable strategy with no review.
The strongest ROI signals are fewer incomplete briefs, fewer strategic rewrites, shorter approval cycles, and less senior-manager time spent reconstructing the ask. Pair the pilot with workflow discovery so the team fixes the brief process instead of only adding a drafting tool.
Connect the pilot to margin and capacity decisions
The Deloitte State of AI report reinforces that process change is where AI value appears. After a pilot, leadership should decide whether the workflow changes staffing, cycle time, quality, or client throughput. If nothing changes operationally, the ROI is mostly convenience.
The Gartner agentic AI project forecast is a useful caution for leaders considering more autonomous marketing workflows. Before agentic content operations, prove the brief workflow with approved sources, reviewer controls, value tracking, and a rollback plan.
The next step is the 90-day AI implementation plan. Use it to move from a single brief-generation demo to a governed marketing operating workflow.
