Eighty-four percent of executives say AI is a strategic priority. Their employees are still spending more than 11 hours a week on manual document tasks.
That disconnect comes from new research published this week by Nitro Software, the document productivity company. The study found that enterprise AI has reached mainstream deployment — but the productivity gains executives expected have not materialized where they matter most. Workers are still formatting reports, chasing signatures, converting files, and copying data between systems. The AI sits in a dashboard somewhere. The work sits in a different tab entirely.
The problem is compounded by what researchers now call "botsitting." A separate study earlier this year found that workers spend more than six hours a week managing, correcting, and babysitting their AI tools — checking outputs, fixing errors, reprompting until they get something usable. The math is brutal: if AI saves you 11 hours but demands six hours of oversight and supervision, your net gain is barely five hours. And that assumes every AI output is usable, which it frequently is not.
Meanwhile, 68% of C-suite executives are bypassing their own approved AI tools and experimenting with unapproved alternatives. The people who chose the tools are not using them. That tells you everything about how well those enterprise deployments are performing.
What does this mean for the business owner watching AI budgets climb while the document backlog stays exactly where it was?
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.
The difference is that Viktor does not wait to be managed. You ask it to build a report from your Google Drive data and it builds the report. You ask it to draft a client email from your meeting notes and it drafts the email. You ask it to format a proposal, pull analytics, or update a spreadsheet, and those things happen. No botsitting. No reprompting loop. No six hours of supervision to recover eleven hours of work.
Viktor runs on Claude, GPT-4, and Gemini — all three included in one credit balance, with the right model selected automatically for each task. It connects directly to the document tools Nitro's research says are consuming your team's time: Google Docs, Microsoft Office, PDF workflows, email, and calendars.
Nitro's finding is not that AI failed. It is that AI landed in the wrong place — in dashboards and chatbot windows instead of inside the workflows where the actual hours are lost. The fix is not buying more AI tools. It is finding AI that works where your people already work.
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.