Nanonets AI employee
A Superkind AI employee that finds documents in Nanonets, extracts data, checks workflows, and exports results for you. Message it in Teams or Outlook, it does the work in Nanonets and reports back with the result. Sensitive actions such as exports or access for third parties wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Nanonets AI employee?
A Nanonets AI employee is an AI that connects to your Nanonets account and completes work in it. It searches documents, reads extracted fields, checks workflows, and prepares exports. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. No triggers, no scenarios, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right Nanonets actions, chains them with your other systems, and asks for your approval before sensitive steps run.
Nanonets is an intelligent document processing platform that extracts data from invoices, receipts, contracts, and other business documents and moves it through workflows.
You ask in Teams
Describe the document or result you need in plain English.
Superkind picks the actions
Selects the right Nanonets actions and chains them together.
Superkind works in Nanonets
Finds documents, reads fields, and checks workflows. Your real data.
Superkind reports back
Delivers the finished result to Teams or Outlook.
What can you ask Superkind to do in Nanonets?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Find the latest supplier contract in Nanonets and summarise its term, notice period, and contact person.”
you, to @Superkind“Create a folder in Nanonets for the September invoices and file these attachments there.”
you, to @Superkind“Prepare access to these Nanonets documents for our external tax adviser and ask me before sharing them.”
you, to @Superkind“Let me know here as soon as new invoices arrive in Nanonets, including supplier, amount, and missing fields.”
you, to @SuperkindHow does Superkind work with Nanonets?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect Nanonets to Superkind and add Teams for collaboration. Then add Outlook, SharePoint, or the other systems your team uses. Superkind handles secure sign-in and makes the connection available in Teams.
@Superkind check the new September invoices in Nanonets, list any missing required fields, and prepare the DATEV export.
On it. I am checking the documents and preparing the export in Nanonets.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to find an invoice in Nanonets or check extracted fields. Superkind understands the goal and picks the right steps in Nanonets.
- 12 Nanonets invoices checked
- 3 required fields missing
- DATEV export prepared
DATEV export createdWaiting for your approvalApprove the DATEV export?3Superkind operates, you approve
Superkind completes the work in Nanonets and reports the result in Teams. Reading and summarising can run independently. Exports, deletions, and access for third parties wait for your approval in Teams.
What can Superkind do in Nanonets?
Ask in plain English from Teams or Outlook. Superkind picks the right Nanonets actions, runs the work, and reports back. No workflows to build.
Search documents
Finds documents in Nanonets by filename, document type, status, or date range.
Get document
Gets a Nanonets document with metadata, processing status, and extracted fields.
Upload document
Uploads an invoice, receipt, or contract to Nanonets for processing.
Create folder
Creates a folder in the Nanonets workspace for a case or reporting period.
Delete document
Removes a selected document and its processing results from Nanonets.
List models
Lists Nanonets models with document type, status, and latest update.
Get model details
Shows labels, classes, and settings for a Nanonets model.
Check model status
Checks whether a model is trained, published, or ready for predictions.
Get prediction
Gets a model prediction for a processed document.
Read fields
Reads extracted fields such as invoice number, supplier, date, and total amount.
Read tables
Reads table rows with line items, quantities, unit prices, and totals from a document.
Check confidence scores
Shows confidence scores for extracted fields and flags uncertain results.
Check required fields
Compares extracted data with the required fields in the Nanonets workflow.
Summarise document
Summarises the content and extracted key data of a Nanonets document.
List workflows
Lists Nanonets workflows with triggers, validation rules, and export destinations.
Check workflow status
Checks the current status of a document run in the Nanonets workflow.
Explain validation errors
Explains missing fields and failed validation rules for a document.
Show approval stage
Shows the current approval stage, responsible person, and open decision.
Activate workflow
Activates a prepared Nanonets workflow for incoming production documents.
List export destinations
Lists configured export destinations and their assigned Nanonets workflows.
Prepare export
Prepares validated fields and tables for CSV, Excel, or a destination system.
Export data
Transfers approved Nanonets data to the selected export destination.
Check export status
Checks the status, timestamp, and error message of a Nanonets export.
Invite user
Invites a person to the Nanonets workspace with a specified role.
Show user roles
Shows people, roles, and access scopes in the Nanonets workspace.
Get usage data
Gets processed pages, document volumes, and error rates for a date range.
Superkind uses Nanonets together with your other systems
Ask for outcomes that span tools. The AI employee pulls document data from Nanonets, cross-references your stack, and delivers one finished result.
Superkind AI employees that work with Nanonets
Every role brings its expertise and uses Nanonets as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Nanonets.
Yes. Nanonets is one of the integrations Superkind connects through a managed connector. Once connected, your team can put the AI employee to work in Nanonets from Microsoft Teams or Outlook. There is no workflow builder and no code. The AI employee only receives the permissions needed for the agreed tasks.
An admin adds the Nanonets credentials to the secure connector and selects the workspace, models, and required permissions. The connection is then available to the AI employee. We configure it with you during onboarding, test access with sample documents, and limit it to the tasks you have agreed.
It can search and retrieve documents, read extracted fields and tables, check confidence scores, explain validation errors, monitor models and workflows, and prepare exports. Results from SharePoint, Outlook, or other systems can also be included. We define the exact Nanonets actions your team needs together during onboarding.
No. With Zapier or Make, you build triggers, steps, and field mappings yourself and maintain them when something changes. With the AI employee, you describe the desired outcome in plain English. Superkind picks the right Nanonets actions, connects them with other systems when needed, and asks if information or a decision is missing.
Only with your approval. Reading, searching, summarising, and checking extracted fields can run independently. Sending data to an export destination, deleting documents, and granting access to external people wait for a yes from a responsible person in Teams. Your team decides which Nanonets actions count as sensitive.
Superkind is hosted in the EU and we sign a GDPR data processing agreement. The AI employee receives only the minimum permissions needed for the agreed Nanonets tasks. Model requests are not used for training. Access, approvals, and completed actions are logged so your team can always trace what happened to documents and extracted data.
The public Nanonets Starter plan costs about 100 US dollars per month after the initial credit. Larger plans depend on document volume and features. Zapier starts at about 20 euros per month and Make at about 10 euros per month, both plus setup time. Superkind is priced per use case, a fraction of a full-time hire.