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Building the Team Is Only Half the Work

By Nick Amis - Head of AI Services

07/29/2026

LinkedIn

The day a specialist goes live inside a team is a milestone. It is not a finish line.

A specialist looks great in the first week. The role is defined, the scope is clean, the specialist is doing the slice of work it was designed for. The team around it feels the lift. That part is the easy part.

The part that takes longer, and gets less attention, is what happens after week one. The specialist keeps running, the team keeps working, the job keeps changing. That work has no established playbook yet.

What running the team actually requires

Running a hybrid team is not the same as running a human team, and it is not the same as running a piece of software either.

The specialist needs attention. Not the constant supervision an early-stage employee needs, but real attention on a different rhythm. Its memory has to be curated as the business context shifts. Its skills have to be extended when the job expands. Its boundaries have to be re-drawn when the team learns what the specialist actually handles well and what it should hand off. None of that happens on its own.

The team around the specialist needs attention too. The humans on the team have to renegotiate what they own, because the specialist is now holding work that used to sit with them. The escalation paths have to be tested and adjusted. The trust in the specialist has to be built through actual observed performance, not assumed on day one.

The specialist changes shape over time

A specialist is not a static thing. It grows the way a role grows, and sometimes it grows in unexpected directions.

The first version of a specialist covers what the team was clear on when the specialist was designed. The second version usually covers what the team discovered they had gotten wrong. The third version usually covers work the specialist has proven it can do, so the team expands its scope. By the sixth or eighth version, the specialist looks meaningfully different from the one that went live.

That is normal. It is also a sign the team is doing the work of running the specialist well. A specialist that has not been updated in six months is a specialist whose team has stopped paying attention to it.

The manager's job changes shape too

Running a hybrid team is a manager's job, and it is a job most managers have not been asked to do before.

The manager still assigns work, coaches through ambiguity, and decides when to trust and when to double-check. The specifics of how they do those things change. Assigning work to a specialist is closer to updating a job description than to giving a Monday morning briefing. Coaching a specialist through ambiguity looks like adjusting its operating rules, not sitting through a one-on-one. Deciding when to trust involves reading system metrics as well as reading a person in a room.

None of that is out of reach. It is a new set of skills for the manager, and they are not skills any playbook has fully written down yet.

Not a one-time project

This is where organizations get in trouble.

Standing up a specialist looks like a project. It has a start date, a scope, a launch. That framing lets the team hand off the specialist to whoever runs it day-to-day and move on to the next project. What gets lost in the handoff is the ongoing work that keeps the specialist useful.

A specialist that has not been touched in a quarter is not a specialist doing its job. It is a specialist waiting for someone to notice it has fallen behind.

The other half of the work is not optional. That half is the running, the updating, the re-scoping, the graceful retiring when the job changes. It is what makes a workforce of specialists actually behave like a workforce, instead of a warehouse of half-forgotten deployments.

That is why building the team is only half the work. The other half is running it.

Nick Amis
Head of AI Services, Arkane Digital

Nick leads AI implementation across enterprise workflows, focusing on turning experimentation into repeatable, operational systems that drive measurable outcomes.

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