The Future of Enterprise Work
Why the companies that win with AI agents will be the ones that choose, up front, where agents act alone and where people decide. The five layers every agent runs on, four ways agents break, and a 36-month plan for leaders.
SuperOrgs Research · October 2026
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Agents got cheap. Most companies are still early.
The paper opens on the forces behind the shift: the cost of running a model collapsed, and analysts expect the number of agents to multiply. Most companies have yet to scale them.
Decide what agents may do alone
Before agents go live, sort every decision they could make into one of three tiers. The paper calls that line the seam between humans and agents, and shows where it belongs.
- The five layers every agent runs on, and where a human stays in charge at each
- Four ways agents break: drift on long tasks, edge cases, prompt injection, and hidden cleanup costs
- Four principles for running humans and agents as one company
- 01
Autonomous
Reversible decisions
Agents decide and act on their own.
- 02
Approval
Reversible but high-stakes
The agent proposes. A human approves before it runs.
Human-only
Irreversible decisions
A named human decides, regardless of the agent's confidence.
From a first pod to a new org chart
The paper closes with a plan for the executive team in three phases. Each one ends with what the next one needs in place.
- Phase 01
Foundational decisions
Write down three to five customer outcomes for all agent work, name one executive to own the seam, and ship a first pod.
Months1 to 6
- Phase 02
Institutional scaffolding
Put the rules agents run under into code, track the price of every completed task, and train the people who run the pods.
Months7 to 18

The firms that win will design the seam
Not the firms with the most agents, or the most people. The paper shows how to draw that line, layer by layer, and how to run a company around it.