Aaron Levie, the CEO of Box, just posted a summary of conversations with "a couple dozen enterprise IT leaders" about AI agents. The thread pulled nearly 500,000 views in 24 hours. It is worth reading carefully — not for the hype, but for what it reveals about where most companies are actually stuck.
The number one theme Levie identified: the operating model challenge.
"Most companies have orgs that have always operated in siloes," he wrote. "But agents are most effective when they are tied to a process, which often cuts across these siloes."
This is the part most coverage will skip. It is also the part that matters most.
The Real Bottleneck Is Organizational, Not Technical
The pattern Levie describes is one I see constantly. A company invests in AI tools. The tools work. But the value stays trapped inside one team, one department, one workflow — because the AI was deployed inside an existing silo rather than across the organization.
The IT leaders Levie spoke with are asking the right question: how do you deploy centrally managed agents that work across organizational boundaries without requiring a full restructuring?
The answer is simpler than most enterprise vendors want you to believe.
Embed the Agent Where People Already Work
The companies getting results from AI agents are not the ones who built custom platforms or hired armies of implementation consultants. They are the ones who embedded agents into the tools their teams already use every day.
Viktor lives inside Slack and Microsoft Teams. You @mention it in a thread the same way you would ask a colleague. The output — a PDF, a report, a task created in your CRM, an email drafted in Gmail — lands where it should land.
That is not a minor architectural detail. It is the entire point.
When an AI agent lives inside the communication layer your company already runs on, it inherits the cross-functional reach that Levie says most companies are struggling to create. Marketing can use the same agent as finance. Operations can hand off to legal. No new software to learn, no new login to remember, no six-month integration project.
What This Looks Like in Practice
Levie also noted that the best AI use cases "fundamentally change the work being done instead of just replacing an existing process and doing it more efficiently." That is exactly right.
With Viktor, a product manager can generate a competitive analysis, build it into a formatted PDF, and drop it into the team channel — all from one Slack thread. A sales leader can pull CRM data, draft a proposal, and schedule a follow-up email without switching applications. These are not incremental efficiency gains. They are entirely new workflows that did not exist before.
Viktor connects to over 3,200 business tools. The cross-silo problem Levie describes — where data is fragmented and agents cannot reach the right systems — is solved by connecting the agent to the tools your teams already use.
The Offer
You get $100 of free credits to begin. No time limit, no commitment. That's enough to do real work and see what Viktor can actually do before you spend a penny. There's also $50 off your first bill. You must use this exact link to receive both benefits:
Disclosure: Some links in this article are affiliate links. If you choose to get started with Viktor using the links provided, I may receive a commission — at no additional cost to you. I only recommend tools I use and believe in.