Workday start
Start your day with an actionable plan, not an overflowing inbox
The assistant can compile your meetings, important emails, open questions, and high-priority tasks into a single, concise morning brief.
Sample personalized morning briefing
09:30 — Team meeting
11:00 AM — Client call
Requires attention:
— The client is awaiting a response on the proposal;
— Agreed yesterday to revisit the budget;
— Two important emails remain unanswered.
Priority:
— first, confirm the offer with the client;
— then prepare for the 11:00 AM meeting.
Just tell us what you need
Once integrated into your workflow, the assistant understands natural language and helps manage emails, calendars, tasks, and meeting prep—without the constant need to switch between apps.
The assistant can organize meetings, key tasks, and items that need attention.
The assistant can highlight important emails, urgent inquiries, and threads awaiting a reply.
The assistant gathers available context and drafts a response for manager review.
The assistant compiles meeting schedules, relevant context, and key prep materials.
The assistant can log a task within a configured workflow.
Which emails remain unanswered?
The assistant can highlight threads that require a reply and gather them for review.
Remind me to follow up on this tomorrow.
A reminder can be part of a configured scenario and depend on the connected tools.
What is my top priority right now?
The assistant helps collect ongoing questions and prepare them for prioritization.
Email, calendar, and task actions run only within the connected scenario and may require user confirmation.
The assistant does more than just respond to commands. When configured, it tracks unresolved issues and brings them back to the manager's attention.
Reminder methods and channels depend on your configured scenarios and connected tools.
When tasks and communications become overwhelming, the assistant can gather work items and help prioritize them.
Issues affecting the current workday.
Tasks where results matter, but there is no immediate deadline.
Issues that can be rescheduled without losing context.
Communications where the next step depends on the other person.
The assistant helps prepare an action plan, while the final decision rests with the manager.
Where an AI assistant can help
Examples of possible use cases, not a claim of ready-made universal integrations.
Helps organize incoming emails, prioritize key messages, identify items requiring decisions, and draft responses.
Documents
Helps you find relevant materials, compare information, generate summaries, and prepare work documents.
Calendar and Meetings
Helps manage your calendar, prepare meeting context, structure takeaways, and track action items.
Objectives
Captures tasks, next steps, and commitments from work communications via voice or text.
Corporate Knowledge
Helps find information faster across approved internal sources.
Solution Development
Organizes facts, options, and arguments into an executive-ready format.
Depending on your use case and technical configuration, you can connect Gmail, Yandex Mail, Mail.ru, corporate email, calendars, and other agreed work accounts during setup.
01
Defining the business objective
We identify repetitive scenarios where managers or teams spend significant time.
02
Identifying sources and constraints
We define what information can be used, which actions require human oversight, and what risks must be addressed.
03
Building a limited pilot
We configure the assistant for a single, specific workflow instead of trying to automate everything at once.
04
Tested on real-world tasks
We evaluate quality, usability, and actual utility to decide on the next step.
Data Control
For each scenario, we define in advance which sources to connect, what data the assistant actually needs, and which actions require human confirmation. Access is designed based on the principle of least privilege.
The specific connection, data storage, and data processing architecture is defined during solution design.
What the client gets
— documented workflow
— prototype or pilot AI assistant
— agreed-upon information sources
— Human-in-the-loop rules
— testing on real-world use cases
— Evaluation criteria and recommendations for the next stage