Connect your stack
27 native integrations. 3,200+ tools via managed connectors. Most are one-click OAuth, some use API keys - Viktor handles auth and starts working. No webhooks, no Zapier zaps.
Loading
Viktor is an AI employee that connects to AWS with a scoped API key and helps you deploy and manage cloud hosting and infrastructure, running 23 AWS actions for you like DynamoDB - Scan, DynamoDB - Query, and S3 - Upload Files. Ask in plain English in Slack or Microsoft Teams; Viktor does the work in AWS and reports back. Setup takes about two minutes.
Free to start · No credit card · SOC 2 Type 1 · Works in Slack & Microsoft Teams
Messages you'd actually send. Paste one into Slack or Microsoft Teams, swap in your specifics, and Viktor takes it from there.
“Check AWS for this month's spend and flag anything unexpected.”
— you, in Slack or Teams
“Deploy the latest build to AWS and confirm it's live.”
— you, in Slack or Teams
“Watch AWS for a service going down and alert me right away.”
— you, in Slack or Teams
“Pull last month's usage from AWS and post it to #eng every month.”
— you, in Slack or Teams
Ask in plain English in Slack or Microsoft Teams. Viktor picks the right AWS actions, runs the work, and reports back. No workflows to build.
Run a SELECT query on a database.
The Scan operation returns one or more items and item attributes by accessing every item in a table.
The query operation finds items based on primary key values.
Retrieves available options for the AWS Region field.
Upload files to S3. Accepts either a file URL, a local file path, or a directory path.
Sends a message to an SQS queue.
Sends a message to a SNS Topic.
Accepts a base64-encoded string and a filename, then uploads as a file to S3.
Creates a presigned URL to download from a bucket.
Downloads a file from S3 to the /tmp directory.
Update row(s) in an existing table in Redshift.
Deletes row(s) in an existing table in Redshift.
Insert rows into a table.
Invoke a Lambda function using the AWS API.
Create a Lambda function from source code. This action creates a zip file and deploys it to AWS Lambda.
Sends an event to an EventBridge event bus.
Modifies the settings for a given table. Only one type of modification is permitted per request.
Updates an existing item's attributes, or adds a new item to the table if it does not already exist.
Creates a new item, or replaces an old item with a new item. If an item that has the same primary key as the new item already exists in the specified table, the new item completely replaces the existing item.
The Get Item operation returns a set of attributes for the item with the given primary key. If there is no matching item, Get Item does not return any data and there will be no Item element in the response.
This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL.
Creates a new table to your account.
Uploads a log event to the specified log stream.
27 native integrations. 3,200+ tools via managed connectors. Most are one-click OAuth, some use API keys - Viktor handles auth and starts working. No webhooks, no Zapier zaps.
Message Viktor in Slack like you'd message a teammate. "Check AWS for this month's spend and flag anything unexpected." "Deploy the latest build to AWS and confirm it's live." Plain English, any tool.
Viktor opens AWS, runs the work, and posts back what changed. Sensitive actions wait for your approval. Everything is logged. You stop doing the work and start reviewing it.
A AWS AI agent is an AI that connects to your AWS account and completes work in it - it doesn't just answer questions about AWS, it takes the actions. Viktor is that agent: an AI employee that works in AWS on your behalf and delivers the finished result in Slack or Microsoft Teams.
Unlike workflow builders such as Zapier or Make, there is nothing to configure - no triggers to map, no workflows to maintain. You describe the outcome in plain English, and Viktor picks the right AWS actions, chains them with the other 3,200+ tools it connects to, and asks for approval before anything sensitive runs.
Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.
Scoped API keys - Viktor stores your key securely, uses only the scopes you grant, and you can revoke it at any time.
Review-first approvals: sensitive AWS actions wait for your sign-off before they run.
Isolated compute per team, encrypted in transit and at rest - and your data is never used to train models.
SOC 2 Type 1 compliant, with Type 2 and ISO 27001 in progress.
Yes. AWS is one of the 3,200+ tools Viktor connects to, via a managed connector. Once connected, anyone on your team can put Viktor to work in AWS from Slack or Microsoft Teams - no workflow builder, no code.
Ask for outcomes that span tools — Viktor pulls from AWS, cross-references the rest of your stack, and delivers one finished result.
Viktor connects to 3,200+ tools and works across them in a single run.
