The Most Overlooked AI Productivity Tool May Be Outlook

Sandton: As organisations continue to invest in ChatGPT, Microsoft Copilot, and other artificial intelligence technologies, many are overlooking one of the largest productivity opportunities already available to employees: Microsoft Outlook.

AI is often positioned as the solution to workplace productivity challenges. Organisations purchase licences, provide training and expect employees to become more efficient almost immediately.

However, many businesses discover that productivity improvements are more difficult to achieve than anticipated.

According to Arnold Muscat, Director of College Africa Group, the reason is often surprisingly simple.

“Many organisations are looking for AI to solve productivity problems that actually originate in workflows, Outlook usage and core business skills. Before purchasing additional AI licences, organisations should first understand how work is being performed and where time is being lost.”

Outlook Is Often Underutilised

Managers, administrators and knowledge workers spend a significant portion of their working week managing email, coordinating meetings, responding to requests and searching for information.

Yet many employees are still not making effective use of Outlook features such as:

Rules
Quick Steps
Categories
Search Folders
Scheduling Assistant
Tasks and Flags

These tools can often save considerable amounts of time without requiring additional software investment.

While Microsoft Copilot can further enhance productivity, organisations frequently discover that significant gains are available simply by improving Outlook skills and workflow practices.

AI Cannot Replace Core Productivity Skills

A similar challenge exists with Microsoft Excel.

Many organisations expect AI to simplify reporting, analysis and decision-making. While AI can assist with formula suggestions, data summaries and analysis, it does not remove the need for validation.

Employees still require the skills necessary to:

Verify calculations
Identify errors
Validate AI-generated outputs
Interpret business information
Apply professional judgement

“AI may generate an answer, but somebody still needs to determine whether that answer is correct. Strong Excel skills remain one of the most important safeguards against poor decisions based on incorrect information.”

As AI becomes more integrated into business processes, the value of foundational skills may become even more important rather than less.

AI Adoption Starts With Understanding Workflows

Many organisations begin their AI journey by evaluating technology platforms.

Leading organisations are increasingly taking a different approach.

Before selecting tools, they are analysing:

How work is currently performed
Which tasks consume the most time
Which activities are repetitive
Where information bottlenecks exist
Which processes could benefit from automation
How productivity improvements will be measured

This process, often referred to as AI Workflow Discovery, helps organisations identify practical opportunities before investing further in technology.

Different employees perform different types of work and therefore require different AI strategies.

The opportunities available to a finance professional, SHEQ manager, executive assistant or project controls specialist are rarely identical.

The ROI Question

One of the biggest challenges facing organisations is demonstrating a clear return on investment from AI initiatives.

Many businesses purchase licences and provide training without establishing a baseline for measuring success.

Before implementing AI, organisations should consider measuring:

Time spent managing email
Time spent preparing reports
Time spent creating recurring documents
Time spent searching for information
Time spent managing meetings and actions

After implementation, the same activities can be measured again to determine whether productivity improvements have occurred.

Successful use cases should also be recorded and shared throughout the organisation to reinforce adoption and demonstrate ROI.

Without measurement, organisations may struggle to determine whether AI has delivered meaningful business value or simply introduced another technology platform.

A Better Starting Point

Rather than asking:

“Which AI tool should we buy?”

Organisations may achieve better results by first asking:

“Which business problems are we trying to solve?”

Understanding workflows, improving Outlook and Excel capability, strengthening governance and identifying practical use cases often deliver greater value than simply purchasing additional licences.

The organisations achieving the greatest return on investment are increasingly recognising a simple reality:

AI adoption starts with understanding the work, not just the technology.

About College Africa Group

College Africa Group helps organisations identify practical AI opportunities through AI Workflow Discovery, AI Adoption Assessments, Microsoft Copilot Consulting, ChatGPT Consulting and AI Strategy Consulting.

Organisations can also download the free AI Workflow Discovery Checklist – 16 Questions Every Organisation Should Ask Before Buying More AI Licences to assess AI readiness, workflow efficiency, governance requirements and potential ROI.

Read the Full Article

Organisations looking to improve AI adoption, strengthen Microsoft Copilot implementation and identify practical productivity opportunities can read the full article:

AI Workflow Discovery: Before Buying More AI Licences, Ask These 16 Questions

The article explores why many AI initiatives struggle to deliver measurable ROI, the importance of Outlook and Excel skills, how AI Workflow Discovery identifies productivity opportunities and the key questions organisations should ask before investing in additional AI licences.

Contact:
Arnold Muscat
College Africa Group
+27 (0) 83 778 4903
sales@collegeafricagroup.com
www.collegeafricagroup.com