How to Create Your Own In-House AI Consultant Role

The Shift from External Agencies to Internal Experts

Companies are moving away from hiring external AI agencies to solve operational inefficiencies. Businesses now prefer to develop AI solutions in-house, creating a demand for employees who can act as internal consultants. This role requires less technical coding expertise and more judgment, taste, and the ability to identify which business constraints to target with AI.

The Four-Step Roadmap to an AI Role

Employees can transition into this position by systematically proving their value through internal automation projects:

• Audit personal workflows: Identify tasks that consume significant weekly hours and carry low risk if the AI makes a minor error, such as status reports, meeting notes, or data cleaning.
• Execute and document: Automate these tasks and track the time saved, such as reducing a two-hour report to ten minutes. This creates a track record of measurable results.
• Increase visibility: Demo these wins in team meetings and share internal documentation, such as prompt libraries or workflows, to make the team dependent on the new processes.
• Formalize the position: Aggregate the total hours saved across all automations into a single business metric, such as the equivalent of a full-time hire, and present this to management as a business case for a dedicated AI role.

Measuring Success

Focusing on constraints rather than simple annoyances is the key to scaling the role. While automating minor tasks builds credibility, attacking the primary bottleneck that prevents business growth is what justifies a higher salary and a formal title. Data from an IBM survey indicates that the prevalence of Chief AI Officer roles grew from 26% to 76% in one year, suggesting that companies are rapidly formalizing these functions.