The AI Evaluation System for Agencies and SMEs
Every agency, every consultant and every service provider now has a list of AI ideas, whether that means automating meeting summaries, generating content at the push of a button, qualifying leads with AI or putting reporting on autopilot.
But let’s be honest: how many of these ideas have you actually implemented? Most teams have both the motivation and the tools, so the real obstacle lies in the fact that nobody can clearly answer which idea is genuinely worth pursuing.
The good news is that there is a simple formula that shows you in five minutes which use case is a game changer and which one simply eats up your time.
This graphic shows how marketing automation, lead management and campaign control work together to turn contacts into qualified sales opportunities. Through automated segmentation, scoring and routing, only suitable leads enter the sales process, while unsuitable contacts continue to be nurtured. The result is a continuous, data-driven funnel from lead generation all the way to the closed deal.
Why Most AI Projects Fizzle Out
Does this sound familiar? Someone on the team has an idea, the boss finds it exciting, a tool gets tested, and two weeks later everything has come to a standstill.
There is no measurable effect, nobody takes ownership and the project never becomes a priority. This is no coincidence.
Most companies lack an evaluation system. Without clear criteria, gut feeling makes the decision, and gut feeling tends to prioritize what is cool over what is effective. What is really missing is the answer to a simple question: how much business impact does this use case have, and how much effort does its implementation require?
That is exactly what this formula is for, and it has proven itself in workshops as well as in real projects. It requires no Excel spreadsheet, no consulting framework and no six months of preparation, only five minutes of your time.
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The Formula: Impact × Feasibility
Every use case is evaluated along two dimensions, impact (the effect on the business) and effort (the complexity of implementation), both on a scale from 1 to 5.
Step 1: Rate the Impact (1 to 5)
The only thing that counts here is business impact, regardless of how innovative or fancy the solution sounds.
Score 5 = Game changer: saves more than 10 hours per week, generates revenue directly or creates a genuine competitive advantage
Score 4 = High impact: saves 5 to 10 hours per week or noticeably improves the customer experience
Score 3 = Solid impact: saves a noticeable amount of time or reduces errors in day-to-day work
Score 2 = Nice to have: makes things easier but changes nothing strategically
Score 1 = Marginal: has barely any measurable effect
Step 2: Rate the Effort (1 to 5)
Now the focus shifts to feasibility, which means assessing the solution you can realistically build with what you have.
Score 1 = Immediately doable: existing tools, no development effort, implemented in less than a day
Score 2 = Easy: standard integration with a few days of setup
Score 3 = Moderate: configuration required, possibly with external support
Score 4 = Complex: custom development, multiple integrations and testing
Score 5 = Very complex: months of work, dedicated infrastructure, data pipelines or ML models
Step 3: Calculate the Score
The formula is: Score = Impact × (6 - Effort)
The logic behind it is brutally simple, because high impact is rewarded and high effort is penalized. A use case that delivers little and costs a lot fails mercilessly, no matter how cool it sounds.
Three Real-World Examples
To keep the formula from staying abstract, let’s look at three typical scenarios.
Copywriting pipeline for ad copy: The impact is 5, because it saves every team member hours every day. The effort is 1, because you can set it up in a single afternoon with ChatGPT, a good prompt template and an automation tool. The score is 25, which makes this a no-brainer that hardly deserves to be called a project.
Automated client reporting: The impact is 4, because it eliminates recurring work and clients receive insights faster. The effort is 2, because standard integrations are usually sufficient. The score is 16, which puts it right in the sweet spot and makes it well worth implementing in the medium term.
Custom ML model for lead scoring: It sounds attractive, yet the impact is only 2, because most companies with fewer than 1,000 leads in their CRM simply do not have enough data to make it worthwhile. The effort is 5, because building a data pipeline takes months. The score is 2, and that makes it pure feature theater.
The Four Quadrants: Your Decision Map
Once you have rated all your use cases, they automatically fall into four categories.
Quick Wins combine high impact with low effort. Start on these immediately, because this is where the magic happens.
Strategic Bets combine high impact with high effort. They belong in phase 2 or 3, since they are strategically important but need lead time and resources.
Nice to Have covers low impact with low effort. Tackle these when you have time left over, without making them a priority.
Hands Off covers low impact with high effort. This is the quadrant where most teams get stuck, filled with the projects that begin with “Wouldn’t that be cool?” and end with “Why did we spend three months on this?”
What You Should Do Right Now
Sort your use cases by score in descending order. The top five are your real levers, while everything else goes onto the roadmap for later.
These top five become your quick wins, meaning the use cases you put into action within the next two weeks, moving straight into implementation without getting stuck in the planning phase.
Why the urgency? The biggest enemy of AI projects is a lack of hands-on experience, and even teams with plenty of know-how stay hesitant until they see results for themselves. Your team needs to feel that AI works, that it saves real time and that it changes their everyday work. That feeling comes from a solution that goes live on Monday and is already saving three hours a week by Friday, something even the most polished strategy presentation cannot achieve.
The only mistake you can make now is to read this article, nod along and then do nothing.
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The formula only works if you use it. So take 30 minutes, write down your top 10 AI ideas, rate each one for impact and effort, calculate the score and launch the top scorer next week.
You do not need a strategy paper, a workshop or an alignment meeting to get going, so simply start.
The companies winning right now are the ones that got started last week, regardless of whose AI strategy looks best on paper.
Implement AI now with the market leader: https://calendly.com/apex-consulting-call/ki-beratung
About APEX Consulting
APEX Consulting is an AI automation and growth consulting firm supporting B2B organizations with intelligent workflows, AI agents, CRM automation, and scalable operating systems. The firm focuses on practical, implementation-driven solutions that reduce manual effort and enable sustainable growth.
More information: https://apex-consulting.ai/
