How to Build an AI Strategy: A Business Leader’s Guide

A recent McKinsey report declares that AI-driven automation is set to boost productivity by 40% in the next five years—

the faster business leaders like you embrace this, the faster you can slash costs and speed up decision-making.

With agentic AI for enterprise ramping up, autonomous agents are no longer science fiction and can play to your next strategic advantage.

This guide will help you cut through the noise and craft a plan that makes AI work for your business.

It covers everything from assessing readiness to picking the right solutions, securing buy-in, and measuring real impact.

1. Identify where AI can deliver the most value

What are the first problems you are trying to solve for your business that can be efficiently solved by supplementing human effort with AI computing power?

Here are key areas where AI automation can deliver business value:

Automate standardized business processes

AI agents can accurately and rapidly handle repetitive tasks, which reduces human error and enables your team to concentrate on work that requires higher-level decision-making and creativity.

Improve human collaboration

AI can act as intelligent collaborators to improve human teams by surfacing useful insights, support decision-making, and perform tasks that augment human expertise.

Build your data-driven team

Autonomous agents can analyze, synthesize, and act on information in data-rich environments at a scale that human teams can’t match, helping identify patterns that inform more data-driven decision-making for your organization.

2. Choose the right AI solutions for your business

How much expertise do you need to have in-house in order to have an impactful AI adoption strategy?

We’re going to be honest with you: AI implementation is not a one-size-fits-all.

You need deep technical expertise in AI and you need to keep up with the latest platforms and capabilities being released globally.

With AI talent being too expensive to hire full-time, you can tap AI consulting teams like our Hives on Swarm, to help you architect and build solutions specific to your business.

Hop on a call with one of our dedicated Technical Account Managers today.

Book a call

3. Build or Buy? Weigh your options

You can decide to leverage existing solutions or develop custom AI, depending on your budget and business needs.

Here’s a simple cost-benefit comparison:

1. Build: If your business has unique requirements, invest in a tailored AI solution which requires time, resources, and AI expertise.

We recommend getting advice before making this decision, as it can get costly fast.

Book a call with Swarm to learn more about your options and avoid wasting money and time.

4. Address limitations and risks of AI adoption

Implementing the right AI solutions for your business can bring immense value, but they also come with challenges.

Here are a few issues you need to look out for when implementing AI solutions:

Multi-agent systems are prone to compounding mistakes.

Complex tasks that require multi-agent dependencies have a high risk of malfunction.

According to Chip Huyen, a model’s overall accuracy drops as the number of steps required to accomplish a task increases.

AI may create infinite feedback loops.

An AI automation workflow that cannot create a comprehensive plan or reflect on their findings tend to call the same tools repeatedly, invoking infinite feedback loops.

This means there still needs to be a human-in-the-loop to avoid redundancies when creating automation systems.

There are safety considerations when setting up autonomous workflows.

Building responsible AI entails putting safeguards to what AI can access and making sure to test and moderate your AI models for accuracy.

Ethical AI also places a burden on business leaders to prioritize safe and responsible AI practices.

Ethical AI covers ensuring strong data protection measures, fairness, and transparency, defining when humans should intervene and provide explainability, and even using measures to mitigate risks of malicious use.

5. Actionable steps for implementation

‍Here are some considerations to ensure a seamless AI adoption process:

1. Assess and prepare clean, structured data for AI training.
2. Consider a phased approach, by starting small and scaling up as needed.
3. Do rigorous testing before full-scale moderation.
4. Monitor and optimize, ensuring accurate responses and continuously improving performance.

6. Staying ahead of AI trends

To remain competitive, business leaders can gain insight on the latest AI capabilities through these steps:

1. Engage with AI experts and thought leaders through attending events such as conferences, webinars, and expert panels.

‍Swarm hosts Candid Convos, where AI expert panels share the latest AI developments and issues with our community of business leaders, tech leads, and AI consulting teams.

With the right strategy, businesses can integrate AI and drive transformative growth.

The key is to start with a clear why, involve the right implementation partners early, and measure impact consistently.

Endnotes

1. Manela, M., 2025, '"Everyone will be a manager" – what the world of work will look like with AI agents'.Available at: https://www.calcalistech.com/ctechnews/article/69jq5gv4l
2. BCG, n.d., 'AI Agents'.Available at: https://www.bcg.com/capabilities/artificial-intelligence/ai-agents
3. Olson, P., 2025, 'Skip the Hype, Here’s How AI ‘Agents’ Can Really Help'.Available at: https://www.bloomberg.com/opinion/articles/2025-01-27/skip-the-hype-here-s-how-ai-agents-can-really-help?embedded-checkout=true
4. Ray, S., 2024, 'AI agents — what they are, and how they’ll change the way we work'.Available at: https://news.microsoft.com/source/features/ai/ai-agents-what-they-are-and-how-theyll-change-the-way-we-work/
5. AWS, n.d., 'What are AI Agents?'.Available at: https://aws.amazon.com/what-is/ai-agents/