McKinsey & Company now processes roughly five trillion AI tokens every month. That figure, disclosed in a report published last week, represents the internal consumption of a single consultancy — not an AI vendor, not a hyperscaler, but a firm that advises other firms on strategy. Five trillion tokens a month. Let that land.
The report asks a question most executives are still dodging: is that AI agent worth it? McKinsey's answer depends entirely on how you measure. Inference costs have collapsed — from twenty dollars per million tokens to seven cents in under two years. But enterprise AI spending keeps climbing. The consultancy's own data shows usage growing in waves, with each wave expanding both the user base and the complexity of tasks being handed to AI agents.
The pattern is clear. Early waves involved simple summarization and drafting. The latest wave involves agents executing multi-step workflows — research, analysis, formatting, and delivery — with minimal human oversight. That is where the ROI case becomes compelling, and also where the infrastructure requirements become prohibitive for most businesses.
Here is the part that matters for companies outside the Fortune 500. The economics of agentic AI are not broken. They are hidden behind layers of infrastructure, engineering teams, and governance frameworks that only large organizations can afford to build. McKinsey spent years assembling the architecture to consume five trillion tokens productively. Most companies do not have years. They do not have dedicated AI teams. They have a business to run and a growing suspicion that they are falling behind.
That gap — between knowing AI agents can deliver value and actually getting one to work inside your business — is exactly where Viktor sits.
Viktor is an AI agent that connects to over 3,200 business tools and does finished work — not summaries, not suggestions, but completed tasks inside the systems you already use. It runs on Claude, GPT-4, and Gemini, all three included in one credit balance. Viktor selects the right model automatically. You never choose between them or pay for each separately.
Where McKinsey built an entire operating model around token consumption, Viktor handles the economics for you. One credit balance. Transparent pricing. No engineering team required. It drafts reports, manages data across platforms, runs competitive research, builds dashboards, and coordinates workflows — the same categories of work McKinsey's report identifies as the highest-value use cases for AI agents.
The difference is setup time. McKinsey's agentic architecture took years. Viktor connects to your Slack workspace, your email, your CRM, your spreadsheets, and your project management tools in minutes. The work starts the same day.
A Note on Security
Viktor is SOC 2 certified, GDPR aligned, CCPA compliant, and CASA Tier 3 certified. Your credentials never touch the AI — they are stored in an encrypted vault and injected at runtime. Your data never trains a model (contractual agreements with OpenAI, Anthropic, and Google). Every sensitive action waits for your approval in Slack before it executes. Full security details: viktor.com/security
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.