Copilots, note-takers and ad hoc AI analysis are genuinely saving time. The trouble is where all that output ends up: in email threads, slide decks and meeting transcripts, where it does nothing for the next person who needs it.
That is the central finding of a new white paper from the consultancy SmartCo, reported by Consultancy.uk on 25 June, which argues that most large organizations are mistaking AI adoption for AI transformation. The firm has a name for the result — "delivery intelligence debt." Companies are generating faster content than ever, but because the outputs are never captured with the data structure, metadata and governance that turn them into reusable knowledge, the value evaporates almost as fast as it is created.
It is a quietly expensive problem. SmartCo's researchers note that the compounding cost of accelerating AI use, without the scaffolding to retain what it produces, is real money forfeited in savings that never arrive. And the timing matters. The white paper lands just as many companies discover that their spending on AI tokens is not, in fact, unlimited, with tool providers ramping up their prices. The habit of treating AI output as free and disposable is ending.
This sits inside a wider picture. By several 2026 estimates, more than 80% of AI projects fail to deliver their intended business value — not because the models are weak, but because the work around them is. A copilot that drafts a brilliant summary nobody can find next week has not saved you anything. It has simply moved the cost somewhere the invoice does not show.
What does this mean for the business owner who cannot afford a data-governance function to catch and file everything their AI produces?
It means choosing AI that finishes the job inside your systems rather than scattering half-done output across your inbox. Viktor is designed that way. It is an AI co-worker that acts inside the tools you already use, so the work lands where it belongs instead of in another orphaned transcript.
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.
Where SmartCo describes copilots that hand back drafts, Viktor does the task: it writes the report and saves it to the right folder, updates the spreadsheet, sends the follow-up, files the research where you will find it again. The output is not a transcript you have to act on later. It is the action itself, already taken. Because it runs on Claude, GPT-4, and Gemini from one credit balance and selects the model itself, you are not stitching together three separate tools and three separate bills. And because the credit balance is visible, you can see exactly what each piece of work costs — the opposite of a surprise token invoice you never saw coming.
None of that requires a governance program. It requires a co-worker that puts its output where the work actually lives.
You get $100 of free credits to begin — no credit card, no time limit, no commitment. Explore Viktor properly. Do real work. When you are ready to go further, $50 comes straight off your first bill.
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.