Viktor for Microsoft Teams - The most powerful AI employee, now in Microsoft Teams
by•
An autonomous AI employee that lives in Microsoft Teams and does real work across 3,000+ tools: reports, reconciliations, approvals, recurring ops. Not a copilot that drafts and waits. It ships. Live today, $100 in credits, no card.
Replies
The "brief him like a new hire" framing makes total sense for Teams users. For teams that are already deep in Microsoft 365, how does Viktor handle permissions — does it need admin access or can individual users connect it themselves?
Dub
This is HUGE, congrats on the launch!! Love Viktor 🤩
The Teams angle makes sense for distribution - that's where the work already happens. But I'm skeptical about "autonomous AI employee" claims when the reality is usually a lot of human review happening in the background. The real test is error recovery - when Viktor closes the books and gets a reconciliation wrong, how does it flag that vs. silently proceeding? That failure mode is what keeps most finance teams from trusting autonomous agents with anything that touches the ledger. $15M ARR is a real signal though. Would love to understand more about what the 30k companies are actually letting it do end to end without human sign-off.
viktor.com
@galdayan Fair skepticism — honestly the "autonomous employee" framing invites it. Here's how we actually think about it. We didn't try to remove the human, we designed around them. Anything irreversible — touching money, sending externally, or writing to a system of record — goes out as an approval draft first: Viktor shows the exact action, its reasoning, and the data it used, and a person clicks approve. That's the default for ledger-touching work, not a fallback. On the failure mode you're pointing at — silently proceeding on a bad reconciliation — that's the one we treat as unacceptable. Viktor is built to surface uncertainty instead of papering over it. If a number won't verify or a match doesn't tie out, it stops and flags the discrepancy rather than guessing to look complete. "I couldn't reconcile these three transactions, here's why" is a successful outcome for us, not a failed one. What runs truly end-to-end without sign-off is the low-blast-radius work: monitoring, research, drafting, data pulls, internal reporting, inbox triage. The closer it gets to the ledger, the more we keep a human on the approve button — on purpose. Happy to go deeper on the reconciliation flow if it's useful.
I'm a Viktor evangelist(lol) in my circle and co-working space. When it comes to ingraining it in my operations, the value is beyond what I expected and its just a fraction of in comparison to what some of my peers have been doing (one is actually featured in one of your ads now lol), but it's already bought me so much more time to be able to stay high level and work on other levers of the business in the last 60 days. Wispr Flow + Viktor once you've got it connected to workflow and economics is the sh*t!
The approval draft is the right boundary. I’d be curious about the receipt after the action runs: who approved, what data Viktor used, which tool it touched, and what changed downstream. Does Teams get that as a durable artifact, or is it mostly in chat history?
I am on support, so I see what real users hit on day one, not the polished demo path. The best tickets are some version of "wait, he just did the whole thing for me," and that genuinely never gets old. If something feels off early or you get stuck, we read everything and we are right here in the thread. Welcome, and do not be shy.
Viktor has completely changed my business set up in 4 weeks. I'm no stranger to AI tools and have been most of them intensively as they developed over the past few years.
The difference with Viktor is - it's like dealing with a team member not a chatbot.
That sounds like the sales pitch but honestly its a different approach and mindset working with Viktor.
Instead of worrying about creating skills, setting up a Mac Mini, prompting and coding - I'm just asking Viktor to do things. Connected to 30+ apps that power my agency he's able to carry out complicated tasks, report, troubleshoot, and provide guidance pro-actively - ultimately learn all about my business and how we work.
My team have been amazed by Viktor's help - and sometimes forget he's "just an AI".
He's a fundamental part of my team now and has been making a difference from day 1.
Thank you Viktor!
I literally created an account on Product Hunt just to write this.
I'm a one-person marketing agency. Viktor's been on my team for a month.
He built the backend of a community media platform — event calendar, directory widgets, sponsorship rate card, SEO research. Then he set up an automated weekly content machine that scouts local events, pulls movie schedules, scans news, and drafts 3 blog posts + a newsletter every week. I just review and hit publish.
For a client, he ran Meta Ads A/B tests with real data tables, found a pixel tracking bug I never would have caught, audited a website and deleted 94 keyword-stuffed pages from the client's previous marketing team, then rebuilt 5 pages with content from a PDF I uploaded.
This is stuff I would've hired someone to do but couldn't afford to.
Viktor got it all done for less than $200 in credits and in under 1 month.
A lot of these tasks I initiated by messaging Viktor from my phone while I was at my regular job.
A whole WordPress website from scratch built during my lunch break just by talking to Viktor on Slack.
Truly a game changer and a life changer.
@viktor.com Congrats on the Microsoft Teams launch, expanding an AI employee beyond Slack is a big workflow step. The edge cases I’d watch are Teams-specific permissions, approval flows, and regressions between Slack and Teams behavior. Want a few Teams-launch QA scenarios?
Congrats on the Teams launch, Fryd. The claim I find most interesting — and hardest — is "runs for weeks without losing context, learning your company deeper." My question: how does Viktor avoid acting on stale context? Say a policy or a price changed last week but it's still operating on what it learned a month ago. For long-running agents that drift is the quiet failure mode. Does it re-verify against the source of truth before it acts, or lean on what it's already learned?