Skip to main content

Earlier business notes

Home / Journal

Before automating coordination, understand the work

Questions about information, approvals and people when considering AI tools for coordination work inside a company.

By Rajiv Sankarlall · Updated

Meeting summaries, status updates and task reminders can look like obvious work to automate. But a manager's week may also include resolving disagreements, noticing that someone is struggling and explaining why a priority changed. Before redesigning a role around AI, separate those activities.

This note concerns technology choices. Personal coaching on this site focuses on burnout, values and purpose. It is not an AI implementation service or a promise to replace parts of your team.

List what coordination involves

Take a recent project and trace how work moved. Who gathered information? Who followed up on missing details? Who decided between conflicting requests? Who helped someone understand what was expected?

Some of that work may be repetitive. Some requires context that does not appear in a task tracker. Ask the people doing it to explain the difficult parts before assuming a software tool can absorb the role.

Test a limited use

You might start by drafting a status summary from information your team already records. Keep a person responsible for checking it before anyone relies on it. Look for missing details, misleading certainty and changes in meaning.

Ask whether the summary helps the people receiving it. A faster report is not useful if it makes problems harder to see or adds another place they must check. Compare it with a simpler alternative, such as a shorter update written by the project owner.

Preserve a route to a person

Make it obvious how someone can challenge an output, ask for context or raise an issue that does not fit the workflow. An automated reminder should not become the only way a person can discuss why work is late.

Before expanding a tool's permissions, consider what information it handles and what it could change. NIST's AI Risk Management Framework offers a broader way to organize that review.

Discuss role changes directly with the people affected. Be clear about what is being tested and which decisions have actually been made. Avoid presenting a technology experiment as a settled conclusion about someone's value.

If the underlying problem is that everyone waits for the founder, first examine how responsibility is handed over. A new tool may leave the same unclear arrangement in place.

Back to the journal

Make room for the person behind the company.

Private coaching for tech founders facing burnout, lost confidence or questions about what comes next.

Explore coaching