Your team needs one place to see AI work in progress
Hidden in-flight agent work creates duplicate effort, collisions and missed approvals.
Hidden in-flight agent work creates duplicate effort, collisions and missed approvals.
Three agents, one customer, nobody watching
Picture a normal Tuesday in a business that has started using AI properly.
The sales assistant is drafting a follow-up to a prospect. The support agent is replying to the same company about an open ticket. The finance workflow has flagged their overdue invoice and queued a reminder. Each piece of work is reasonable on its own. Together, they send three messages to one customer in an hour, with three different tones, and one of them mentions a discount the account manager never approved.
Nobody did anything wrong. Nobody could see the whole picture either.
That is the problem with AI work in progress. Finished work shows up somewhere: a sent email, an updated record, a closed ticket. Work that is still underway is mostly invisible. It sits inside individual tools, personal chat threads and automations only their builder remembers.
Why in-flight work matters more than finished work
Most teams think about AI visibility after the fact: what did the agent do, what changed, where is the log. That matters. But by the time you are reading the log, the duplicate email has gone out.
The useful moment to see AI work is while it is happening, because that is when you can still do something about it.
Hidden in-flight work causes a predictable set of problems.
Duplicate effort. Two people ask two different tools to research the same supplier, draft the same proposal or summarise the same meeting. Nobody knew the other had started.
Collisions. Separate workflows touch the same customer, record or deadline at the same time, and each one assumes it is the only one acting.
Missed approvals. An agent pauses for sign-off, but the request sits in a notification nobody saw. The work stalls quietly, or worse, someone works around it.
False confidence. Managers assume work is moving because the tools are busy. They cannot tell the difference between progress and spinning.
Nobody knows who to ask. When a customer calls about something an agent is halfway through, the person answering has no way to see where it stands.
What "one place" should actually show
This does not mean another dashboard full of activity charts. It means a single, shared view that answers the questions people actually ask during the day.
- What is running right now? Which agents and workflows are active, and on what.
- For whom? Which customer, project or record each piece of work relates to.
- Who owns it? The person accountable for the outcome, not just the person who set it up.
- What is it waiting on? Approval, missing information, another team, or nothing.
- What is it about to do next? Especially anything that will send, change, book or pay.
If someone can open one view and answer those five questions for any piece of AI work, you have visibility. If they have to check four tools and message two colleagues, you do not.
How to get there without a big project
You can start small.
- List what is live. Write down every agent, assistant and automation doing real work today, who set it up, and what it touches. You may find one you had forgotten about.
- Pick one shared home. A project board, a shared channel, or an operating system built for it. The important part is that it is one place, and everyone knows where it is.
- Make agents report in. Each piece of AI work should post when it starts, when it is waiting, and when it finishes, with the customer or record attached.
- Route approvals through the same view. If a decision is needed, it should appear where the work is visible, not buried in one person's inbox.
- Check it in your daily rhythm. A quick look at in-flight AI work belongs in the same place you already review the day's priorities.
Questions to ask your team
- Could anyone here tell me, right now, everything our AI tools are working on for our biggest customer?
- When an agent is waiting for approval, where does that request go, and who sees it?
- Have two workflows ever contacted the same customer about different things on the same day?
- If the person who built a workflow is away, can someone else see what it is doing?
If the honest answers are no, nowhere specific, probably, and not really, the next improvement is not a smarter agent. It is visibility.
Where Walter fits
At Walter, I think of this as basic chief-of-staff work. A good chief of staff always knows what is in motion, who owns it, and what is waiting on a decision. They stop two people doing the same job and catch the request that would otherwise sit unanswered.
AI makes it easy to start more work in parallel. That is the upside. The cost is that more of your business is moving where nobody can see it. Put that work in one place, and your team can coordinate with it instead of tripping over it.
Join the waitlist at https://hirewalter.ai/
