AI assistance for company work
Find the information, prepare the work and review the next action.
Use permission-aware questions, saved workspaces, writing assistance and supported action proposals within the modules your company has enabled.
Useful assistance starts with a specific piece of work.
Ask about a customer, review an open request or prepare a response without first assembling everything in a separate chat. Tsumira's AI capabilities use the sources and tools available to your account. The assistant is not an unrestricted company administrator or an autonomous business decision-maker. Choose a bounded question, inspect its sources and decide what should actually be changed or communicated.
Explore each function
See what each capability does, how it works and where it fits into your team’s workflow.
Find company information with AI
Find permitted customers, work and records in ordinary language, with results that remain tied to the available business sources.
Create working dashboards with AI
Ask for a supported overview, review its data sources, filters and measures, and save a useful workspace for repeat use.
AI drafts for replies and business writing
Prepare wording from the readable conversation, edit the result and decide separately whether it should be sent or used.
Prepare business records with AI
Prepare supported customer records, activity notes and other module actions in ordinary language, with review of target and values before execution.
AI with business record context
Use the current record's readable fields and conversation for a focused summary or question instead of assuming unrestricted company-wide memory.
AI permissions, review and action history
Keep AI reads, proposed changes and saved workspace evaluation subject to current account permissions, source access and ordinary module validation.
Audio transcription and reviewed summaries
Use the supported uploaded-audio flow for transcription and request a summary or stated action items without assuming live meeting automation.
Create images, documents and reports with AI
Prepare supported image, document and report outputs for proposals or team work, with factual, visual and audience review before use.
Find relevant information through authorized sources.
Use ordinary language to search or ask about the available business records. Open the returned record to verify the underlying detail. A record assistant can summarize a specific record and its readable conversation, while broader questions depend on available module tools. Incomplete source data or unavailable conversation context should remain uncertainty, not become a confident assertion that nothing happened.
- Source-linked information and record-specific assistance
Prepare useful drafts and reusable working views.
Draft an answer from a readable conversation, structure a document or create an eligible saved workspace from supported components. These outputs still need review. A chart depends on the chosen measure, filter and record permissions; a well-written reply can still contain a wrong date or unsupported promise. Verify the result rather than treating polished wording or a rendered visualization as evidence of correctness.
- Writing, documents and supported data-driven workspaces
Keep changes and outward actions under review.
Supported record changes can be proposed with their intended target and values. Review them before execution; ordinary module validation and your current permissions remain applicable. Sending a message is separate from generating its draft. AI availability also depends on configuration, allowances and the current service. Uploaded audio and generated material are available through their supported paths; automatic live meeting notes and presentation building remain separate planned capabilities.
- Human review, current permissions and explicit availability boundaries
A concrete workflow
Choose a task
Start with a real record, question or reply.
Inspect sources
Review the information the assistant can actually use.
Review result
Check factual detail and any proposed change.
Act deliberately
Confirm the intended action and verify its outcome.
An illustrative working example
Illustrative scenario: preparing a customer follow-up
A project lead asks for the status of a customer request, opens the relevant record and reads the recent exchange. AI prepares a short response. The lead corrects the delivery date against the actual plan, checks recipients and decides whether the message should be sent. A proposed activity is reviewed separately. The team starts with this narrow flow before evaluating more complex cross-module questions.
Questions about this topic
Can AI see every company record?
No. It uses permitted sources and tools under the current user's authority.
Does a draft send itself?
No. Preparing text and confirming an outward action are separate steps.
Are live meeting notes available?
Automatic live transcripts and meeting-to-task delegation are in development. Uploaded audio has a separate supported flow.
Is AI unlimited on every account?
No. Configuration, plan allowances and current service availability apply.
Explore connections around this workflow.
Ideas for intended connections. Check the actual availability, permissions and supported data for each app before using a scenario.
Notion
Application concept: Identify reviewed Notion planning material as candidate context while checking source access and intended use.
Slack
Application concept: Plan AI-assisted preparation of a Slack handover while keeping factual review and outward action separate.
Confluence
Application concept: Use a maintained Confluence explanation to define which business facts must be verified in an AI answer.