Return on Time: The New Currency Funded by AI
In the traditional business world, ROI (Return on Investment) has always been the king of the boardroom. But as AI reshapes how we work, a new challenger has emerged that is arguably more indicative of agility and future success: Return on Time (ROT).
What exactly is ROT?
Think of ROT as the precursor to financial success. It measures the hours saved by automating repetitive or cognitively heavy tasks, allowing talent to move faster.
The formula is simple:
By focusing on speed and efficiency gains, ROT highlights how resources are being reallocated. If your team saves 20 hours a week on drafting and responding to emails, those 20 hours aren’t just gone, they are reinvested into high-level strategy and innovation.
The Shift: AI as the “Pre-Agency” Collaborative Tool
The most fascinating application of ROT right now is happening in the relationship between clients and creative agencies. Over the years we’ve seen clients struggle to explain exactly what they want. The idea of ‘I’ll know it when I see it’ results in dozens of billable hours just helping the client find their vision.
AI is a great tool for helping this process if it is used as a briefing tool, not a solution. Presenting a finished looking concept to a creative, rather than a mood board for example, is like saying ‘I want exactly this, but not this’. It’s an unsolvable conundrum that is confusing and hindering.
Clients who get the best results use AI as a briefing collaborator. Using AI to feel out scope, think about execution deliverables, refine a budget and write a comprehensive campaign brief saves time back and forth with a creative partner. It creates a clear scope of work, results in more accurate quoting and finding the right creative fit.
When a you use AI to bridge the gap between “thought” and “brief,” you are significantly increasing your ROT. The agency isn’t spending time guessing; they are spending time elevating a validated concept.
Here’s how clients should be using AI to boost their ROT:
Using AI as a tool has gone far beyond typing your queries into Chat GPT, CoPilot or other LLMs and hoping for the best. While these methods give you a broad overview of what’s available online, it’s only a tiny blip in the potential you could be harvesting from AI in your business. As always, market data is your best friend when it comes to understanding how to elevate your product. And your specific market data lies with you. To get the best out of your creative partner, you need to share this insight, and no amount of blindly searching the internet will hold a candle to what you have learnt about how your customers interact with your product or service.
AI Internal Knowledge Base:
Imagine you had the brain of Stephen Hawking who knew everything about your business and was available to answer all of your questions in an instant. As unrealistic as this sounds, that’s pretty much what an AI internal knowledge base is.
Many larger companies are investing in private Retrieval-Augmented Generation (RAG) models confined to their business eco-systems connected to a chat assistant to achieve ROT. AI assistants are embedded into daily workflows (such as Slack, Google Workspace, Microsoft Teams etc) with the ability to generate documents based on verified internal data rather than AI’s general training. This means business specific data generation in a matter of minutes.
While custom RAG models can be expensive to implement, you may find that your existing workspaces already have something like this baked in. Google Workspace, for example, have a variety of commands that you can input into Gemini to kick off search amongst all of your connected Google Products. While not as extensive as a custom built model, it will still give you personalised results within your business eco-system rather than a generic AI world search.
And if you want a step beyond this, third-party software, such as Anthropic’s Claude, have recently released a native, officially supported method to connect their software to act as an agent that researches and acts on your internal company data.
For a design partner, this means that you can simply and easily provide internal search data on customer segmentation, previous campaigns, budgeting, and a wide range of other queries that will all aid in improving the creative output. It’ll also highlight if you need more knowledge in this area too.
How this benefits your creative partner
- Rapid Briefing: AI connected eco-systems can create comprehensive briefing documents based on company based verified data.
- Drafting the Narrative: Testing core messages or value propositions to explore your current brand’s voice, vision and mission and if this needs to change.
- Unify Brand Assets: Quick retrieval of existing brand assets to provide a current state analysis for quick review. This will also help locate and replace/remove old versions of brand assets.
- Market Synthesis: Providing agencies with pre-digested insights via AI-driven sentiment analysis.
- Brand Testing: Using AI knowledge assistants to check if your ideas have previously been explored by you or others.
The ROT Trap: When AI Costs More Than It Saves
We’ve now established that AI is pretty damn amazing for returning positive ROT but there is a “dark side” to ROT that every business leader must consider…
The Scaling Wall.
While AI is the ultimate tool for researching your idea and refining a creative brief, relying on it for a full brand rollout can actually lead to Negative ROT. The danger lies in the extension and scale of the brand. AI is excellent at generating a single, stunning image, but it often lacks the “connective tissue” required for a complex, multi-channel rollout.
- The Consistency Crisis
A brand is a living system, not a single file. When you scale from a social media post to a 50-page annual report or a physical store front, AI often struggles with version control and applying design assets to a set of predefined brand rules. If AI generates slight variations in colour, tone, or logic across these assets, the “time saved” at the start is quickly eaten up by the “time spent” manually fixing inconsistencies later.
- Architectural Depth
Creative agencies don’t just “make things look pretty”, they build an architectural framework that considers how a brand tiers its messaging based on audience behaviours, psychographics, demographics and geographical information. AI, currently, acts as a soloist, not a symphony conductor. While it may tell you where your brand is sitting and analysing where it can go based on previous data, it lacks creativity and nuance to produce something new.
- The “Uncanny Valley” of Scaling
If a client scales a brand using only AI-generated assets, they risk the “Uncanny Valley” where everything looks professional but feels hollow. Correcting a “soul-less” brand identity six months after launch is a massive time-sink that could have been avoided by involving human strategic oversight during the initial scaling phase.
- The Final Art Flop
If you do create something great in AI, you face the problem of having a flat final art file that has issues with resolution and file formatting. Not to mention minor tweaks to text or images that bring you back to point 1, where the entire image needs to be recreated rather than just quickly editing an element or layer.
Finding the Strategic Balance
Is AI a good use for ROT? Yes—but only if you know when to hand over the baton.
The most successful brands of the next decade will be those that use AI to achieve a Fast Start (High ROT in research, testing and briefing) but rely on human-led agencies to ensure a Strong Finish (High ROI in execution).
The ROT Rule of Thumb: Use AI to shorten the distance to the first draft, but use human experts to lengthen the life and scale of the brand. By treating time as your most precious resource, you aren’t just being “efficient”—you are building a foundation for a brand that can grow as fast as the technology supporting it.
FAQs
Return on time, or ROT, is a performance metric that measures the value of your time invested against the benefit gained. It focusses on maximising efficiency and productivity to gain more freedom and reduce stress. It is often a precursor to Return on Investment (ROI) as having more time to invest back into your businesses should ultimately make you more money.
Using AI assisted systems can help client’s produce clearer, data backed briefings to creative partners, enabling the creative process to occur with more insight and direction. Reducing the back and forth with a creative partner and providing a clear direction expedites the creative process and reduces timelines resulting in positive ROT.
In our experience, clients are yet to write their own website copy always have the worst ROT for their projects as they try to prioritise this amongst heavy workloads. Having an AI internal knowledge base can expedite this process, producing company verified data in a matter of minutes. Of course, you could also use a copy writer for some human nuance and timely delivery.
When AI costs more time than it saves, it results in negative ROT. When AI produces so many results and pathways that it waters-down the brief, this results in negative ROT. When you find yourself down an unrelated rabbit hole based on your AI results, this is negative ROT. And if you can’t build a campaignable idea based on the single output that AI generated? This is also negative ROT.
While AI tools may help generate a solitary image, video, song or document in minutes, the concepts, architecture and single-minded proposition behind the creativity must be understood, especially where versioning is concerned. If you are unable to explain or build upon your concepts in a meaningful and campaignable way, you end up spending more time trying retrofit a concept to make it feel or sound right.
RAG is an AI framework that improves Large Language Model (LLM) accuracy by retrieving data from trusted external knowledge bases. Many publicly available LLMs create accurate responses by scanning uploaded company documents combined with internet results. Private RAG systems work on a closed domain ensuring the model only draws information from trusted internal documents, databases and files to a permitted network of users. This model reduces hallucinations and prevents sensitive data from leaking across the internet. This kind of model can be expensive and is mainly used for enterprise sized businesses with a lot of data and complicated filing processes.
This is a real fear in the industry but our response to this is that AI can enhance thought leadership but if does not replace it. While AI can do a many wondrous things, I don’t human creativity will be replaced by a machine. If you want to read our blog on this, click on this link.