AI Communication Strategy

Communicating the Increasing Value & Impact of AI

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AI Communication Strategy: Communicating Value and Impact

Every company is talking about AI. The harder challenge is communicating what AI actually means for the business.

An effective AI communication strategy must balance opportunity with reality. Leaders need to explain where the company is going, what it is doing now and how those efforts will create measurable value.

That story will not sound the same to every audience.

Board members want to understand strategy, investment, governance and risk. Investors want evidence that AI is contributing to growth, efficiency or customer value. Customers want to know how AI will improve their experience. Employees want clarity about how their work will change and how they can participate.

When organizations rely on technical updates or broad promises, audiences struggle to understand the value. Some companies overstate the outcomes and lose credibility. Others provide so much technical detail that the central message disappears.

Strong AI communication connects the technology to a business problem, explains what progress looks like and gives each audience a clear reason to care.

Why Every Company Needs an AI Communication Strategy

Everybody’s talking about it.

It’s been called the most significant technology advancement we will see in this decade. Some say in our lifetime. And with all the noise, buzz and focus, communication has become a critical tool in how companies position AI within their strategies.

It’s a different conversation at a dinner party than it is on a work team or in a boardroom. Personally, we\’re having a lot of fun asking AI to plan vacations and solve our everyday problems. We’re all eager for our own personal agent. It seems like Siri’s distant cousin showed up and can do 10x more!

But in our work environment, it gets much more complex and a little less fun. In fact, most technologists say that how we’re experiencing AI as consumers is confusing what we can expect from AI in our workplace. And when it comes to telling the story of corporate AI, communication isn’t quite as clear or compelling.

We’ve had a front row seat over the last two years supporting many companies with AI communication. We’ve heard groups over promise AI outcomes and lose trust with their audiences. We\’ve heard groups over explain AI applications and confuse audiences. And we’ve heard groups downplay AI and disappoint audiences.

Everyone is trying to sprint to early outcomes, but by technology standards, it will be more of a marathon to integrate AI throughout our world. That’s OK. But it does mean that communication will be a critical tool to help AI leaders and business leaders manage expectations, align strategies and bring each of their key audiences along on the journey.

It’s a great example of our storyline methodology because it requires a communicator to focus on audience perspectives, clear messaging and the ability to balance a future state with an actual one. The hype of AI got everyone’s attention as a consumer, but our interest and expectations as a business audience are not the same.

AI Communication Strategy and Sharing Change with Employees

Here are our insights into some of the most critical groups in terms of expectations and how to deliver on them.

AI Communication Strategy – BOARD MEMBERS:

This audience starts with their responsibility. And related to AI, they sit somewhere between the intrigue of what you think you can do and the reality of how fast and how well you’re doing it. They are both an internal and external audience, meaning they learn from your internal teams, but they also bring insights from their own experiences. This audience can get ahead of you, behind you or opposed to you based on knowledge they get from outside the company.

Most boards went into last year with expectations around AI investment and measurement. Your goal at this point should be consistency in how you keep them updated. You should have a storyline in place that they’ve aligned to with views of activity, pace and expected outcomes. Keep them involved enough to understand the misses and resets, so they own the learnings with you. Don’t reset the storyline every time you talk to your Board. If they don\’t know your AI strategy and progress at this point, you are misaligned. Solve for that by repositioning a high-level storyline – and putting an AI report in place that gives them an enterprise view of what you’re doing.

Missteps: Your efforts around AI will pull your technology leaders into the spotlight. While it’s a strategy for a company, it is a career-defining moment for people leading these efforts. Coach them now on the language of Boards. It’s a different audience for them, and if the Board doesn’t have confidence in your AI talent, you’ll struggle to keep them in step with a strategy.

AI Communication Strategy: INVESTORS:

This is the skeptical audience.

Consider them the most knowledgeable in terms of industry perspective and a broad view across your competitors and partners. They’ve heard the AI hype story for a while, and they read between the lines on what you plan to do and what you’re actually doing. Generally, they believe the early adopters will win by getting ahead of everyone else.

They’re tracking progress by digging in on AI investment and AI value. They agree there is potential for AI to transform companies, but most say they don’t truly see it yet. So, they drill down to get to the core elements of what you’re doing. If it’s a new audience for you, know your AI story. It needs to represent a forward view, a current focus and measurable results. All companies are testing how they will report progress in this area. Expect to be held to these measures and get clear on how to communicate about them.

Missteps: Winning at AI from an investor view is delivering customer outcomes. For many companies, a starting point was to talk about their internal outcomes as they learned AI. Companies considered these outcomes; investors consider it activity. Repeatedly, they call out that companies aren’t proving that customers are taking the journey with them. In some cases, this is a lack of good storytelling and knowing how to tell success stories from the customer’s perspective.

AI Communication Strategy – CUSTOMERS:

Customers are eager to hear about AI communication strategy efforts. Like investors, they care less about what you’re proving internally and much more about outcomes for other customers.

They’re also focused on the role of data in this process. We’ve helped many companies illustrate the AI integration journey within a customer’s world, and it gets results. It shows understanding and effort to consider where they can expect the most value and steps toward better outcomes.

Your customers hope to learn from you and other partners, and it’s a great entry point to new relationships within a customer organization. We’re helping elevate and broaden these conversations, so sales teams can use AI to get visibility to other decision makers within companies.

Missteps: Some companies miss the mark by not building AI into their go-to-market message. They give the sales team “hand me downs” from how AI was communicated as a strategy. That breaks a golden rule: the customer comes first. Until it has value to me, I don’t really care what you’re doing to transform, improve or evolve your products and services. That’s your thought leadership and belongs at conferences, not in a sales opportunity.

AI Communication Strategy – EMPLOYEES:

For this group, the storyline around AI should be inspiring! We all believe that AI is going to have tremendous impact on our lives, and we want to be a part of it. Share the strategy, and all the good and bad that comes with it. Talk about learnings, failings and next steps.

This is a group that is counting on you to educate them. Whether they’re literally working with AI or two steps away from it right now, they care about it. And if they learn AI in your company, it’s a huge retention tool. Too many companies are putting it in a small, exclusive space, so they can go fast. It’s fine to corner off the work, but don’t corner off communication. It’s too big of an initiative and too central to where you’re heading. Brand the journey and make AI a tool of inclusion.

This is the audience that will build a ground swell around your efforts. Make it understandable to them, and they’ll talk about it and your work around it. They’re the best PR machine you have. They’ll share stories with friends, examples with neighbors and strengthen your brand with AI efforts.

Missteps: For this group, it’s less about missteps and more about no steps. Don’t just recycle content here. Build a journey around AI that is inspiring and includes the entire organization. Employees are a captive audience right now because they want to be involved. Keep them out of the mechanics and engage them in possibilities and opportunities in their work.

If you’re in a position to communicate about AI communication strategy, we can help you balance a future view with a current one. While your audiences have different perspectives and expectations around this hot topic, your storyline has to get to outcomes. And we can help you do that.

AI Communication Strategy – How to Explain the Business Value of AI

A strong AI communication strategy does not begin with the technology. It begins with the business problem.

What is the organization trying to improve? Is the goal to reduce processing time, improve the customer experience, generate revenue, manage risk or help employees make better decisions?

Once the problem is clear, leaders can explain how AI supports the solution.

That order matters. When communicators begin with models, platforms and technical capabilities, audiences must determine the relevance for themselves. When they begin with a recognizable business challenge, the technology has a clear purpose.

AI Communication Strategy – Move from AI Activity to AI Outcomes

Many organizations update their AI communication strategy through activity:

  • The number of pilots underway
  • The number of employees using a tool
  • The number of AI applications identified
  • The amount invested in new technology
  • The number of teams participating

These measures may show momentum, but they do not necessarily demonstrate value.

Boards, investors and business leaders want to understand what changed because of that activity. Did the organization reduce costs? Did a process become faster? Did employees gain capacity for higher-value work? Did customers receive a better experience? Did the company create a new revenue opportunity?

Gartner recommends tying AI communication strategy -value to business outcomes such as cost reduction, revenue growth and employee experience rather than relying only on adoption or productivity measures.

An effective AI storyline connects three elements:

  1. The business problem the organization is solving
  2. The progress or outcome created by AI
  3. The next decision, investment or action required

AI Communication Strategy – Give Each Audience a Reason to Care

The core AI communication strategy should remain consistent, but the emphasis must change by audience.

A board may need to understand governance, investment and enterprise risk. Investors may focus on financial impact and competitive advantage. Customers want evidence that AI will improve their outcomes. Employees need to understand how AI affects their roles, skills and opportunities.

Audience-specific communication is not inconsistency. It is relevance.

SW&A’s approach of Content, Style and Situation helps leaders decide which information matters, how it should be communicated and what the audience expects from that particular conversation.

AI Communication Strategy – Balance Future Potential with Current Reality

AI communication often becomes too optimistic or too cautious.

If leaders focus only on future potential, the story can sound like hype. If they focus only on current limitations, the organization may appear uncertain or unprepared.

Credible AI communication holds both ideas at once. It describes the long-term opportunity while remaining clear about current progress, unresolved questions and the work still ahead.

Leaders do not need to have every answer. But they should be able to explain what the organization has learned, what it is measuring and how those insights are shaping the next step.

AI Communication Strategy – Create a Repeatable AI Story

AI communication strategy should not restart every time leaders speak to the board, employees or investors.

Organizations need a central storyline for their AI communication strategy that defines:

  • Why AI matters to the business
  • Which problems the company is prioritizing
  • How progress and value will be measured
  • What the organization has learned
  • Which risks and responsibilities are being managed
  • What comes next

That storyline can be adapted for different audiences without changing the central strategy.

Consistency builds credibility. It also helps technology leaders, business leaders and corporate communicators speak with one voice as the organization’s AI strategy evolves.

SW&A helps leaders translate complex AI initiatives into clear, audience-focused messages. Through storyline development, communication consulting and executive coaching, we help organizations explain not only what they are doing with AI communication strategy and why it matters.

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