Studies show that as much as 25% of the funding that enterprises are investing in adopting artificial intelligence (AI) technology is wasted. Why? Because many organizations lack a structured approach to integrating AI tools across their operational infrastructure in areas such as service and finance.
Why should leaders of small- to medium-sized businesses (SMBs) care about the travails of their counterparts at large corporations? Because analysts estimate that SMBs investing AI could boost monthly revenues in fewer than six months.
For example, with AI-enhanced operations, SMBs earning $200,000 a month could gain more than $4,000 in additional revenue each month, recording more than $50,000 new revenue annually.
How can SMBs achieve this type of growth and avoid the pitfalls of wasted funds? We advocate for assessing your AI opportunities before the spending begins. Here’s the process: - Phase 1 “Readiness” – Assess opportunities, uncover gaps and expose risks before deploying AI.
- Phase 2 “Discovery” – Identify high-impact AI use cases across planning and operations.
- Phase 3 “Governance” – Implement responsible-use policies, data safeguards and compliance controls to adopt AI securely.
- Phase 4 “Training/Enablement” – Equip staff with skills for using AI tools (e.g., Microsoft Copilot, ChatGPT, Google’s Gemini, Anthropic Claude, etc.) effectively, fostering the confidence to embrace AI in everyday work routines.
- Phase 5 “Customization” – Align AI agents or assistants with business objectives by automating tasks, generating insights and accelerating workflows in ways specific to your team.
All along the way, think “people come first, tech comes next.” Learn more by visiting teamlogicit.com. |
