What services does TNWmarketing offer?

TNWmarketing provides practical marketing support for growing businesses, including marketing strategy development, fractional marketing leadership, lead generation, campaign optimisation, and marketing workshops. The goal is to help companies increase visibility, attract customers, and grow revenue with measurable results.

Who is TNWmarketing for?

TNWmarketing works with ambitious organisations ranging from early-stage startups to established companies. Services are designed for businesses that need senior marketing expertise but may not yet have the time, resources, or need for a full in-house marketing team.

How is TNWmarketing different from a marketing agency?

TNWmarketing operates as a strategic marketing partner rather than a traditional agency. Instead of focusing only on delivering specific marketing activities, TNWmarketing works with businesses to develop clear marketing strategies, identify the most effective channels, and prioritise actions that drive measurable growth. This ensures marketing efforts are aligned with business goals and resources, rather than simply executing campaigns without a strategic foundation.

Do you offer fractional CMO or senior marketing leadership?

Yes. TNWmarketing provides fractional marketing leadership for organisations that need senior marketing expertise but are not ready to hire a full-time marketing director or CMO. This gives businesses access to strategic guidance, marketing planning, and performance oversight while remaining flexible and cost-effective.

Will my marketing strategy be tailored to my business?

Absolutely. TNWmarketing does not use generic templates or one-size-fits-all marketing plans. Every strategy is built around your organisation's goals, target audience, market position, and growth ambitions. The result is a clear, practical roadmap that focuses on the marketing activities most likely to generate meaningful results.

How does the process work?

Most partnerships start with a short discovery call to understand your business goals, current marketing challenges, and growth targets. From there, TNWmarketing creates a tailored plan that outlines strategy, timelines, and recommended actions to deliver measurable outcomes.

Can you help build a marketing strategy from scratch?

Yes. TNWmarketing helps businesses define their positioning, identify ideal customers, select the right channels, and create a clear roadmap for growth, including measurable KPIs and execution plans.

How is pricing structured?

Pricing depends on the scope of work. Workshops have fixed pricing, while consulting and fractional marketing services are tailored to the specific needs, objectives, and scale of each business.

What percentage of UK marketers use AI tools daily?

According to HubSpot's 2025 State of AI Report, 66% of marketers use AI tools daily for all aspects of their work. However, this level of reliance often leads to poorer quality output as critical human oversight is reduced.

The AI Efficiency Trap—How To Make AI Work For Your Marketing

9 Apr

Written By Tonya Williams

Key takeaways from this blog:

AI tools promise efficiency — but too much choice, over-reliance, and prompt refinements often deliver the opposite
66% of UK marketers use AI daily, yet quality is dropping as critical oversight falls away
The fix isn't a better tool — it's a better process: define your use case, know your output, prompt with intent
Human oversight remains the most important step in any AI workflow
2026 is the year of considered implementation — structured, goal-led, and human-led

Who amongst us does not use AI? I’d be willing to bet not many. The use of generative and agentic AI has transformed how businesses operate over the past few years, thanks to the inception of services like ChatGPT, Gemini, Claude, embedded agents in marketing tools like Salesforce, HubSpot, Canva, Google and Microsoft, and agentic AI platforms like Loveable. All offer marketers the ability to more efficiently perform their functions, from strategic planning, to market research, content generation, email/social media/process automation, lead generation and nurturing, website creation, real-time reporting and analytics.

We all value the efficiencies AI tools bring—but is this a trap? After embracing AI tools for so many aspects of my professional life over the last three years, I am still excited, yet more cautious.

The Paradox of Choice—Is AI Actually Making SMEs More Efficient?

On the surface, AI tools are a positive development for SMEs - in particular, marketers. As of September 2025, 35% of SMEs actively used AI technology, with a further 24% pledging to use it in the future (British Chamber of Commerce 2025). Surveys found that SMEs predominantly use AI for content generation, creating simple graphics or helping shape plans–but are not yet using AI largely for automations, social media scheduling and agentic workflows to reduce manual workload. What’s more, is they don’t expect AI to replace humans (SME Today 2025) anytime soon.

As a cautious advocate of AI innovation, I am genuinely encouraged by this. People are seeing AI for what it is–innovation to help, not replace humans.

As AI reshapes the business delivery models of SMEs, with tools listed on theresanaiforthat flooding the market weekly, we need to take a pause. While more options might sound like a good thing, there is an inherent problem here, too much choice. Quite often this translates to decision fatigue, meaning many marketers start tool-hopping rather than focusing on changing their mindset to outline what they need from the tool itself, and consider training needs for users and the tools themselves.

The rapid increase of AI tools for SMEs and the oversaturation of choice creates a further issue, over-reliance. Hubspot’s 2025 State of AI Report shows 66% of marketers use AI tools daily, for all aspects of their work. While seemingly a helpful tool to aid efficient work, over-reliance often leads to poorer quality of work overall, as critical oversight drops.

The Hidden Cost of AI—Refinements, Reliance, and Trust

The problem with over-reliance doesn’t stop at the tool we choose; it also follows with how we use our chosen AI tools. As we all know from using ChatGPT, it often takes multiple questions (or prompts) to nail down the exact information or strategy we want. What seems to be a time-saving exercise has, in fact, consumed more time through repetitive refinements than simply completing the work ourselves. For pressured marketers this prompting-loop is not just frustrating, it is eroding the efficiencies AI promised in the first place.

While obtaining accurate information or great outputs may take more time with prompting-loops, some argue doing this is still more efficient–I disagree. When over-reliance meets time pressures, the output is rarely of a high standard. In reality it is rushed, sloppy work, and can even result in inaccurate information being published without any oversight at all.

I recently experienced frustrations firsthand, as I explored a multimodal AI tool. What is a multimodal AI tool? Simply put, it's an AI tool that can understand, process and generate multiple types of data simultaneously. Think converting text-to-video or text-to-presentations. In my case, I took a video of myself on my phone, created an avatar, wrote a script to produce a new video of, well, me using the script as my talking points. The appeal was clear: one original recording could produce an infinite number of videos, simply by adding different scripts. What a great tool for mid funnel lead nurturing when the CEO is too busy to learn and record a video.

In reality, it quickly became apparent that I needed to be almost perfect with the original video. I had to take several different videos, as I do not have a professional set up with a green screen, etc. In the end it was easier to just take and use my original video with me learning the talking points. During this experimentation I learned that this type of technology is impressive, however I did not have a clear process, use case, or defined expectations - as I was freely exploring the tool. As a result, what I had hoped to test in a few hours turned into a few days working on this - remaking videos, changing the voice settings, rewriting scripts; no time savings and “good but not great” outputs, so I gave up in the end settling for good. Something I have heard often happens during creative exploration of AI tools.

Even when the output is good, there are so many questions around ethical use and how to use AI technology. Is a personal video better than an avatar for example? I believe transparency is important, and I consider declaring the use of AI in generated content an essential part of publishing.

But is that effective? As per Schilke and Reimann findings in 2025 the answer is no. In fact, AI disclosure in content has a direct link to a loss in trust, despite this transparency being seen as ethical (O Schilke, M Reimann, 2025).

It's worth noting that Schilke and Reimann's research also suggests context matters — mandatory disclosure frameworks may reduce the trust penalty compared to voluntary disclosure, pointing to a future where industry-wide AI transparency norms could level the playing field for those who choose to be open. So what do you, as a marketer do? Keep quiet and risk integrity, or disclose and risk trust? I choose disclosure any day.

The Real Value of AI—With Human Oversight

So we agree. AI can be an effective tool that propels marketing output and results in higher levels of brand awareness, lead generation, nurturing and opportunity deliverables to sales teams. Those businesses that overcome operational and adoption challenges to embrace AI as a further efficiency tool that is human led will thrive, while those that do not will flounder.

However we need to use a phrase from my Scuba diving years - STOP, BREATHE, THINK, ACT (thank you PADI). AI tools become inefficient when used incorrectly. There are many ways to use generative and agentic AI efficiently for marketing, however effective use requires proper planning from the outset - perhaps it is us that needs to adapt to the AI tool? Perhaps we need to change from creator to editor?

The most important principle underpinning AI use is human oversight and final edit.

A New Way of Thinking—Build Your Use Case First

I believe the best way forward is for us to adapt and change our way of thinking. Take a step back and determine (1) what is our goal–are we freely exploring creative AI tools or do we have a specific use case (2) what output do we want (3) what information must we provide, and (4) what question do we need to ask to get our desired output.

As most SMEs have been experimenting with AI in 2025, I believe that 2026 is the year of considered implementation. This emphasises the need to take a step back and treating AI adoption as you would any new technology system implementation. Go through a structured framework to assess your goals, priorities, data considerations, marketing tech stack, desired answers, how to obtain them, and what good looks like.

The Payoff—What This Looks Like In Practice

Back to my avatar experience. Had I taken my own advice — defined my use case upfront, setting goals, expectations and aligned to a schedule — I could have had a working lead nurturing video in an afternoon, instead of several days with continuous refinement loops. Technology was never the problem. The process, or rather the lack of one, was. And that is entirely on me. The honest truth is that AI tools will only ever be as good as the thinking we put in before we use them. Define the goal, know your output, ask the right questions — and suddenly, that avatar might just work in a short timeframe after all.

Come Build This With Me

I offer a solution to the AI Efficiency Trap. I have created a MARKETING LAB workshop series dedicated to AI for Marketing. Each session will take you on a journey from building an AI use case and effective prompt engineering, to being visible across multiple search platforms (SEO, AIO, GEO), and lastly, building an agentic use case and creating your own agent. I believe these focused hands-on sessions will provide the foundations SMEs need, to start embracing AI and drive their businesses forward. Join me at the next hands-on session, 30th April at Tonbridge Old Fire Station, Kent. Can’t make it? email me to register your interest for future sessions.

Whether you are just starting out or stuck in the refinement loop, this is where you build the process. Book your place here.

Before I sign off, I’d like to declare: I wrote this blog, however I have had some help with AI to take my thoughts into a structure, small edits, and create the header image of me (any similarities to other people is purely coincidental).

About the author

I’m a Fractional Marketing Consultant, with 16+ years of "boots on the ground" experience. I’ve built marketing strategy and functions from scratch, fixed underperforming campaigns, and helped established companies find their second wind. From deep-dive research, strategy and brand positioning to the nitty-gritty of lead generation and tech implementation, I’m here to turn your big ideas into real-world impact.

What’s the best part of marketing for me? It’s the people. I love the challenge of telling a story that truly resonates with an audience and leads to a measurable result.

That’s why I launched TNWmarketing here in Kent. Connect with me on Linkedin ,facebook, or Instagram.

FAQs:

What is the AI efficiency trap for marketers?

The AI efficiency trap describes the paradox where adopting AI tools to save time actually costs more time — through tool-hopping, endless prompt refinements, and outputs that require significant human correction before they are usable. The trap is not the technology itself, but the absence of a clear process before using it.

How should SMEs approach AI implementation in 2026?

Rather than experimenting freely with multiple tools, SMEs should treat AI adoption as they would any new system implementation. That means defining a specific use case first, identifying the desired output, considering what data and context the tool needs, and deciding what an acceptable result looks like — before opening any tool at all.

What is prompt engineering and why does it matter for SME marketers?

Prompt engineering is the skill of constructing clear, contextual, and specific instructions for an AI tool to produce useful, reliable outputs. For SME marketers, it matters because vague or poorly structured prompts are the primary cause of the refinement loop — the cycle of repeated attempts that erodes the time savings AI is supposed to deliver. Learning to prompt well is the single biggest unlock for genuine efficiency.

Does disclosing AI-generated content affect audience trust?

Research by Reimann and Schilke (2025) found that disclosing AI use in published content directly reduces audience trust, even when readers view the transparency itself as ethical. This creates a genuine dilemma for marketers. The most effective mitigation is ensuring human oversight and authentic editorial voice throughout — so that AI assists the process rather than defining the output.

Tonya Williams https://Tnwmarketing.co.uk