Thomson Reuters released a number last week that deserves more attention than it got. Of the corporate clients surveyed in their 2026 Future of Professionals report — clients of law firms, accountancy practices, and compliance consultancies — 78% said AI-enabled quality improvements were very important or essential to them. Only 6% said most of their providers were delivering it.
That gap is not a rounding error. It is the distance between what the market expects and what firms are actually producing.
The report, published June 22 and based on a survey of 1,816 professionals across 62 countries, documents something that has been building quietly: widespread AI adoption has not translated into widespread AI value. Three in four professionals now use AI every week. Yet 91% believe their organizations are failing to deliver the full value those tools are capable of. The adoption happened. The results did not.
The financial consequences are starting to show. Thomson Reuters calculates that $143 billion in U.S. legal and accounting revenue is now under active reconsideration by clients who expected AI-driven improvements and are not seeing them. Within the next twelve months, 32% of corporate clients plan to reassess provider relationships. The talent side is equally pointed: one in four professionals said they would consider leaving their firm within two years if the gap is not addressed. Meanwhile, 34% of lawyers, accountants, and compliance professionals are already using unsanctioned AI tools their organizations cannot monitor or control.
What does this mean for the business owner who cannot afford a dedicated AI team? The Thomson Reuters data describes enterprise firms with hundreds of professionals and six-figure technology budgets failing to bridge the gap between AI adoption and AI value. If the largest players struggle, the small operator needs tools that close that gap by design.
Viktor is built for exactly this situation. It runs on Claude, GPT-4, and Gemini — all three included in a single credit balance — and selects the right model automatically for each task. You do not configure it. You describe what needs doing and it does it, inside your actual tools.
The Thomson Reuters report describes three specific failure modes: no sanctioned tools that meet professional standards, no strategy for scaling beyond individual use, and AI not embedded into workflows in ways that produce visible client value. Viktor addresses all three without a six-month implementation program.
Here is what that looks like in practice. A legal professional who needs to summarize documents, extract key clauses, and draft a client briefing can hand all three to Viktor as a single workflow — not three separate prompts across three tools. An accountant can use Viktor to flag anomalies, compare figures across periods, and generate draft commentary. A compliance officer tracking regulatory updates can have Viktor monitor sources, identify relevant changes, and produce a formatted digest.
The 6% figure is not a ceiling. It is a benchmark. The firms achieving it are not necessarily larger or better resourced. They are the ones where AI has been embedded into actual work, not held at arm’s length as an experiment.
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.