Readiness & Baseline
Where AI is already used — officially and unofficially — and what your data, tools and skills can support today.
AI adoption consultant
From AI curiosity to measurable value
Independent guidance for marketing and commercial leaders who need AI to deliver real results — not more pilots, more licences or more hype.
The adoption gap
Buying AI is easy. Adopting it is not.
Most organisations already pay for AI tools. Far fewer can say what those tools have changed. Teams experiment in isolation, policies lag behind practice, and every vendor claims to have the answer.
As an AI adoption consultant, J Setzer brings the same independence and rigour we apply to digital marketing audits: a clear view of where AI genuinely helps your marketing and sales teams, what it will take, and how to prove the value.
Grounded in hands-on digital marketing experience, the advice is practical by design — built around the work your teams actually do.
What we cover
Adoption, end to end
From the first assessment to everyday use, every recommendation is tied to a business outcome you can measure.
Use-case Prioritisation
A ranked shortlist of use cases by value, effort and risk, from content and search to reporting and sales enablement.
Tool & Vendor Selection
An impartial view of which AI tools and platforms fit your stack, contracts and data — and which are just new licence fees.
Governance & Policy
Practical guardrails for brand, data privacy, accuracy and approvals that teams will actually follow.
Team Enablement
Hands-on workshops that turn AI from a side experiment into an everyday part of how marketing and sales work.
Measuring Value
Clear before-and-after metrics so leadership can see time saved, quality gained and cost avoided.
Ways to engage
Start where you are
AI Readiness Assessment
A short, structured review of where your marketing and commercial teams stand with AI — and where the real opportunities are.
What you receive
- Current-state map of AI use
- Prioritised use-case shortlist
- Risks and governance gaps
- Executive summary and next steps
Best for
Leadership teams being asked "what is our AI plan?" without a clear answer yet.
AI Adoption Roadmap
A sequenced plan from pilot to scale, covering tools, processes, people and the metrics that prove it works.
What you receive
- Pilot design and success criteria
- Tool and vendor recommendations
- Governance and policy framework
- 90-day and 12-month roadmap
Best for
Organisations ready to move beyond scattered experiments.
Team Enablement Workshops
Practical sessions for marketing, content and sales teams, built around your own workflows rather than generic demos.
What you receive
- Tailored half- or full-day workshops
- Prompt and workflow playbooks
- Role-specific use cases
- Follow-up Q&A and review
Best for
Teams that have the licences but not yet the habits.
Fractional AI Adoption Lead
Ongoing senior guidance that keeps adoption on track, vendors honest and leadership informed as the technology moves.
What you receive
- Regular steering sessions
- Vendor and tool reviews
- Adoption and value tracking
- On-call advice as new tools appear
Best for
Leaders who want a steady, independent hand while AI capabilities change month to month.
Vendor-neutral
No platform to sell. Only a plan that works.
AI advice is only useful if it is independent of the tools being recommended. We have no licences to resell and no partner quotas to meet.
What we will never do
- Resell AI licences or take vendor commissions
- Push a platform because we are certified in it
- Promise headcount cuts to sell a project
- Recommend AI where a simpler fix will do
Questions & answers
What leaders ask us about AI
What does an AI adoption consultant do?
An AI adoption consultant helps an organisation move from scattered AI experiments to everyday use that measurably improves the work. That covers readiness, use-case selection, tool choice, governance and training. Our view is that adoption is mostly a people and process problem, not a technology problem: the tools are widely available, and the hard part is changing how teams actually work.
How much does an AI adoption consultant cost?
Pricing ranges from hourly advice to large implementation projects. We start most clients with a fixed-fee AI Readiness Assessment, so you know exactly what you are paying for before committing to anything bigger. We would rather you spend a modest amount proving value on a few use cases than sign a large transformation programme on the strength of a demo.
Where should a marketing team start with AI?
Start with work that is frequent, low-risk and easy to measure: research, first drafts, reporting summaries, content repurposing and meeting follow-ups. Do not start with a customer-facing chatbot. Early wins should build confidence and habits internally before AI ever speaks to a customer on your behalf.
Which AI tools should we use?
It depends on your stack, contracts and data — which is exactly why we stay vendor-neutral. In many organisations, the AI features already included in licences you pay for go further than another point tool. We help you decide what earns its place and what is just a new licence fee.
Will AI replace jobs in our marketing team?
We do not sell AI projects on the promise of headcount cuts. In our experience, the realistic gain is time and quality: faster research, better first drafts, cleaner reporting. Teams that adopt AI well take on more valuable work. Teams that use it as a cost-cutting exercise tend to lose the expertise that made the output good in the first place.
How do we measure the ROI of AI adoption?
Set a baseline before the pilot starts: how long a task takes today, what it costs and what quality looks like. Then measure the same things afterwards. Our rule is simple — if you cannot measure the value of a use case, do not scale it yet.
Do we need an AI policy?
Yes, and probably sooner than you think, because your people are almost certainly using AI already, with or without permission. A good policy is short and practical: what data may go into which tools, what needs human review and who approves what. Guardrails teams actually follow beat a long document nobody reads.
How long does AI adoption take?
A well-designed pilot shows results quickly. Turning that into lasting habits across a team takes longer, because it means changing workflows, not just installing software. Be wary of anyone promising a complete AI transformation in a few weeks.
Related services
AI works best on a sound strategy
01
Enterprise Digital Marketing Consultant
Independent audits, second opinions and senior guidance for enterprise marketing — a clear verdict on what works before the next budget is committed.
Explore →03B2B Digital Marketing Strategy Consultant
A B2B digital strategy built around buying committees, long sales cycles and pipeline — not vanity metrics.
Explore →04Digital Marketing Sales Executive for Hire
An outsourced senior sales executive with real marketing depth — running your product demos and hosting or joining sales calls in English or German. No cold calling.
Explore →Start the conversation
Being asked for an AI plan?
A short, confidential conversation is usually enough to see where AI can help your teams — and where it can't.