Most Teams Are Using AI — But Few Know How to Prompt It Well
Teams are adopting platforms like Claude, ChatGPT, Microsoft Copilot, and other AI assistants to support research, communications, analysis and planning.
Yet in many corporate training sessions, a similar pattern emerges. Employees are comfortable opening the tool, but they are often unsure how to communicate with it in a way that produces useful, reliable results.
This isn’t surprising. Most professionals spent the past two decades learning how to interact with search engines. We type a few keywords into Google and review the results.
AI tools work differently. Instead of searching, you are instructing.
One technique that can significantly improve the quality of responses is assigning the AI a role at the beginning of the prompt. Phrases such as “Act as…” or “You are…” help guide the perspective the AI should take.
Below are several examples that illustrate how this works in practice.
Example 1: Executive Communications
Weak prompt
“Write an email about AI.”
Stronger prompt
“Act as a senior corporate communications advisor. Draft an internal email from the executive team announcing the introduction of AI tools across the organization. The tone should be reassuring and transparent, addressing employee concerns about job security while emphasizing productivity and responsible use.”
Why this works better
The AI now understands the organizational context, audience, and tone required for executive communications.
Example 2: Strategic Planning Support
Weak prompt
“Give me ideas to grow the business.”
Stronger prompt
“You are a management consultant advising a mid-sized professional services firm. The firm provides digital transformation consulting to enterprise clients. Identify three potential service expansion opportunities related to artificial intelligence that could be developed over the next 12–18 months.”
Why this works better
Assigning the role of consultant helps the AI respond with more structured and strategic thinking.
Example 3: Market Analysis
Weak prompt
“Analyze this market.”
Stronger prompt
“Act as a market research analyst. Provide a high-level overview of key trends shaping the AI training and workforce development market in North America. Identify three opportunities and two potential risks for organizations entering this space.”
Why this works better
The role signals that the response should be analytical rather than descriptive.
Example 4: Departmental Productivity
Weak prompt
“How can AI help HR?”
Stronger prompt
“You are an HR transformation advisor. Suggest five ways an HR department in a mid-sized organization could responsibly use AI to improve recruiting, onboarding, and internal communications while maintaining human oversight.”
Why this works better
The AI understands the department, responsibilities, and constraints.
Example 5: Executive Briefings
Weak prompt
“Summarize this report.”
Stronger prompt
“Act as a senior policy advisor preparing a briefing note for executives. Summarize the key insights from the following report in five bullet points and include two implications for organizational strategy.”
Why this works better
This prompt clearly defines the format, audience, and decision-making context.
A Simple Structure for Enterprise Prompts
Many organizations find it helpful to structure prompts using a simple framework:
Role + Context + Task + Audience + Format
For example:
“Act as a digital strategy consultant. Our organization operates in the tourism sector and is exploring ways to use AI to improve marketing and customer experience. Suggest four practical use cases and present them as short executive briefing points.”
This type of structure helps the AI generate outputs that are more aligned with business decision-making.
Why Prompting Is Becoming an Important Workplace Skill
As AI tools become embedded into everyday workflows, the ability to guide these tools effectively is becoming a valuable capability for teams.
Professionals are already using AI to support tasks such as research, drafting communications, preparing presentations, summarizing documents, and brainstorming ideas.
However, the quality of results often depends on how clearly the instructions are framed.
Organizations that invest in helping employees develop stronger prompting skills often see more productive and responsible use of AI tools across departments.
A Human-First Approach
AI tools are most effective when they are treated as collaborative assistants rather than search engines.
By providing clear instructions, assigning a role, and adding context, teams can generate more relevant and useful outputs.
As AI becomes embedded in modern workplaces, prompting is quickly evolving from a technical curiosity into a practical leadership skill. The organizations that invest early in developing this capability will be the ones that move from experimentation to real productivity gains.
Have questions about how your team can use AI more effectively? Feel free to get in touch.
