Strategy and prioritisation
Choose the right AI projects for your marketing team
Move from scattered experiments to an investment decision your team can explain. We examine recurring marketing work, compare potential uses of AI and define a first pilot. The result is a practical set of priorities, with the information, responsibilities and decision points needed to move forward.
The problem to solve
Reporting, research and campaign preparation all look like candidates for AI. But the fastest demo may not solve the most valuable problem. Without comparing input quality, review time and ongoing costs, teams can spend money on tools while the real bottleneck remains unchanged.
What you receive
- A map of recurring tasks, handoffs, existing tools and constraints.
- A ranked opportunity list based on usefulness, feasibility, cost and risk.
- Tool recommendations linked to the selected tasks and data requirements.
- A pilot brief with an owner, required inputs and acceptance criteria.
- A 90-day roadmap showing the next actions and investment decisions.
Illustrative scenario, not a client result
What the work could look like
Imagine a team choosing between weekly reporting and campaign briefing. We compare task frequency, available inputs and the checking each output needs. The deliverable explains which task to test first and why, then sets out the pilot. It is a decision document, not a shopping list of software.
How we assess progress
We establish a baseline for preparation time, corrections and acceptable output quality. These become criteria for the later pilot. The diagnostic's immediate value is a clear decision; any time saving must be established through measured use.
How the engagement works
- 01
Inspect the work
We trace recurring tasks with your team to understand delays, repeat corrections and decisions that need human judgement.
- 02
Compare the options
We weigh expected usefulness against the quality of inputs, operating costs and effort needed to check the result.
- 03
Define a testable next step
We frame a pilot and its decision criteria, then sequence the following actions in a 90-day roadmap.
What we need from you
- Your priority business decision and examples of the work behind it.
- Available performance or time records, plus tool and data constraints.
- An internal owner and people who understand how the work is done.
References behind the approach
NIST provides a voluntary framework for managing AI risks. We use this as a reference when considering ownership and checks. NIST · AI Risk Management Framework
Questions before you start
Is this useful if we already use AI?
Yes, particularly if adoption is uneven or you have several experiments with no shared priorities. Existing examples help identify what to keep, improve or stop.
What if a task should not be automated?
That can be a useful finding. Better inputs, a simpler process or limited AI assistance may be more appropriate than building an automated system.
Find my first AI priority
Prices are in USD, excluding applicable taxes. Your written proposal confirms scope, schedule, access requirements and working language. An enquiry does not commit you to a purchase.