Building AI Agents for Business: The 3 Circle Rule

A sudden shift in Gen AI development leads to fast-tracking present advancements in IT. People are understanding how to integrate AI into their workflow. There has been progress for a few agencies. But for the people who haven’t reached the desired results, we believe the filtering through AI noise is a huge obstacle.

In 2025, AI agents will become one of the most popular topics in the artificial intelligence space. Interest in ‘AI agents’ multiplied by nearly 12.5 times in less than a year. However, success stories tell a different story; despite being on the rise, people will have to wait till 2028 to witness AI agents for business at work in enterprise application software(Gartner said).

Let’s take a look at the flip side. There are 1% (Beginning with 2024) of global businesses that have successfully identified their opportunities to build AI agents for business. Observing their accelerated AI adoption, we found they have focused on three things. Important factors that make the 3-circle rule framework a helpful approach to finding your AI agents for business opportunities.

An Executive’s AI Dilemma

To begin with, let’s explore unique challenges IT agency leadership faces when introducing opportunities to build AI agents for business. These challenges are:-

1. Standout Solutions Need New Tech

Your client wants a standout solution, maybe utilizing cutting-edge technology, which is unquestionably a good strategy. A new technology makes a huge difference not just in the deliverables but also in the development process.

2. AI makes Your Solution Unique

To build that solution, you have to incorporate a new tool, product, or technology into your workflow. We will assume that technology is AI, since AI agents for business is our core theme. Also, a survey states that 87% of global organizations believe AI will give them a competitive advantage.

3. Transformation and Gains

On paper, the idea of integrating AI looks good, but again, we will go past the AI noise in this article. So let’s acknowledge the evolved priority problem of figuring out between the two. Deciding between transformative AI opportunities and mere efficiency gains.

4. Decision Making

Now, after considering and concluding, the use of AI agents for business changes your resource allocation in every possible way.

So it is a very grey area that puts you and your agency at a crossroads of decisions. Hence, a structured evaluation framework is essential for strategic decision-making.

Understanding the 3-Circle Rule Framework

“So can it automate my entire operation?” – The most common question people have is demanding answers. We did not ask our AI developers the same question. Instead, the question should be knowing “where to start”.

The one who starts right has to fight off the delusion of believing  AI Agents are not omnipotent. Once you go past that delusion, you have to understand the pace of implementation. A system of AI agents for business starts with identifying your areas of expertise. The reason is:

• It will require comparatively less research.
• Faster implementation for thorough tests.
• It will clear the fundamentals of dos and don’ts while building AI agents.

The Three Circles Rule Framework

The three core factors, or should I say, three circles of judgment. They are collective evaluation factors for your agency’s progress towards understanding and implementing AI agents for business.

Let’s say your quality analysis team lists down the processes involved in analysing a single website to find anomalies and bugs to fix. Sure, that is a great opportunity for you to consider adding AI agents as an assistant to your QA team. Generally, you will start finding ways to improve your QA automation, but take a step back and consider if it satisfies these three circles.

1. Impact Circle: Potential business value generation (revenue increase, cost reduction, competitive differentiation)
2. Effort Circle: Resource requirements (time, financial investment, talent allocation).
3. Feasibility Circle: Technical and organizational implementation viability. Will your team need upskilling or training in a particular tool centered around AI agents for business?

AI itself is a toolbox—using a screwdriver for a nail wastes potential.

Finding the right AI tool is not just the end of determining the sweet spot at the centre of the circle. We are talking about AI agents that require knowledge bases, instructions, goals, and API integrations.

Circle 1: High Impact in IT Agency Operations

Ask yourself and your team what constitutes “high impact” for IT agencies specifically. Is it revenue growth, yes, but building an AI agent that magically prints money is not an option. Let’s pick the next high-impact area, which is operational efficiency.

So if you automate your operational efficiency, the meaningful impact it will create should directly affect your organization.

Considering these areas:-

• Client delivery processes
• Business development
• Internal operations
• Talent management

Executives should rate AI investments on a 1-5 scale across four key areas, but the critical question is: “What higher-value activities can we pursue with the time this AI saves?”

• High-Impact Opportunities: AI agents based code assistant that frees developers to build custom enterprise solutions (3x higher billing rates).

• Low-Impact Opportunities: Scheduling tools that are part of AI agents for business opportunities that save 30 minutes daily, but don’t create opportunities for strategic work.

Circle 2: Determining True Feasibility

To understand the feasibility of AI agents for business, first let’s help you understand what types of feasibility concerns you have. The successful implementation of artificial intelligence solutions requires careful evaluation of both technical capabilities and organizational preparedness.

Technical feasibility

Whether the AI agent opportunities you are tapping into can be completed using the available tech-stack.

• Questions technical feasibility answers:
  • Can we build this with current technology?
  • Do we have the technical skills required?
  • Will our systems handle the workload that the AI agents for business solutions bring with it?
  • Are there technical barriers we cannot overcome?

Organization feasibility:

The assessment of whether the AI agents for business align with the organization’s structure, culture, resources, and strategic goals. This involves every department’s activities or workflow that they carry out on a daily basis.

• Questions organizational feasibility answers:
  • Do we have the budget and resources?
  • Will employees accept and use these AI agents for business solutions?
  • Does leadership support this initiative?
  • Does this align with our business strategy?
  • Can we manage the organizational change required?

Most importantly, placing your AI agents for business in the feasibility circle requires the five characteristics mentioned below.

1. Decision making: Clear, consistent decision-making rules.
2. Integration & accessibility: Accessible data and systems for automation.
3. End goal: Define success criteria for AI agents for business.
4. Problem management: Error handling or the ability to counter setbacks.
5. Evaluation criteria: Verify the results presented to you before considering their success.

The key rule is simple: AI agents for business built on these foundation models should not require guesswork. Try to keep the rate of exceptions and judgment calls low.

Circle 3: Realistic Effort Assessment

Practicality is a mountain hard to climb. Every possible AI-integrated solution can be theoretically put to test but to consider it from a practical angle requires readiness to change.

A practical effort requires time, budget, resources, and organizational commitment. This puts a lot of pressure on decision makers who are taking responsibility for adopting a new approach for AI agents for business.

Let’s determine whether your efforts are moving forward in the right direction:

1. Documentation: You and your team are tracking every important aspect of the process.
2. Adaption: Your team is willing to document their workflow and accept a significant change.
3. Starting small: Pick a department that first fills the criteria mentioned above and then scale up.
4. Investment: Potential benefits fall under your investment goals.
5. Disruption: Ideating, building, and implementing takes time. Consider the disruption of core operations as a reminder.

The key rule is simple: When building AI agents for business, moving in the right direction should determine “is it worth it?” in the beginning, before they take any step.

Wrapping Up!

The 3 Circle Rule, a systematic approach, ensures that AI agents for business, your investments, align with core business objectives while building organizational capability for sustained innovation.  The framework eliminates guesswork, just like when you onboard Weam AI. We provide your team with a common language for adopting AI initiatives across all levels of the organization.

Leaders must then establish cross-functional AI evaluation committees equipped with the framework and empowered to make investment decisions, ensuring consistent application of the 3 Circle Rule across all departments. 

Frequently Asked Questions