Agent · executive
An executive AI assistant — this is the return of time to strategy,
not a «task helper».
Every executive spends hours a day on assembly: who promised what, what was discussed at the meeting, how projects are running, which deals have movement, who I owe a callback. That's the work of a clerk, not a leader. The personal agent takes the assembly on itself — the owner gets the digest and makes decisions, instead of reconstructing the picture from scratch every morning.
Assembly → decisionsA morning digest instead of crawling chats. A meeting brief instead of «remembering on the fly». A summary after the call instead of «I'll write it later».
No promise gets lostAll commitments are logged: what you promised, what was promised to you, deadlines, follow-ups. The team sees that the leader remembers.
An assistant that doesn't leaveContext about people, projects and agreements stays with the company — even if a personal or executive assistant changes.
Why we built this — and why specifically for the leader.
Over several years working with owners and CEOs of companies of different sizes we noticed something common: leaders spend 30–40% of their day not on decisions, but on assembly. In the morning — crawling chats. Before a meeting — searching for «what did we discuss last time». After the meeting — trying to record what was promised and to whom. In the evening — reconstructing the day. That's a huge volume of intellectual work that creates no value — it only prepares you for the work that does.
In parallel each leader has a personal or executive assistant. That helps — but it doesn't solve the fundamental problem: the assistant is also a human being. They get distracted, fall ill, go on holiday, leave. When they leave — so does the memory of your commitments, people, agreements with clients. You're left with a stack of contacts without context and a calendar without reasons.
The solution we were looking for had to do two things at once: remove the assembly work from the leader and preserve the management context outside of one specific assistant's head. A regular task tracker doesn't do this — it holds tasks but not context. CRM doesn't do this — it holds deals but not commitments. A chat AI doesn't do this — it has no memory of your company. A separate layer was needed — a management assistant that accumulates memory and works for a specific person in their specific style.
And why now
You already have a management history — it lives in chats and in your head.
Every email thread, every meeting, every decision — this is the company's management capital. Right now it's scattered: in Telegram, email, tasks, in the assistant's head, in your memory. A year of working with the personal agent is a year when this capital is structured and made available. Who is connected to whom, what commitments are open, which projects are stuck, who disappointed and who exceeded expectations.
In 2–3 years this kind of management memory will be a default tool for any modern owner. Those who start now get not «a technology» but an accumulated picture of their business and their people. This can't be bought — it can only be accumulated.
Six effects — at the level of the whole company.
Freeing up the time of one leader isn't an «individual perk». It changes how decisions are made, how commitments are kept, how the entire team operates. The speed and memory of one person at the top is the speed and memory of the company.
Decisions are made faster
The leader doesn't wait for someone to compile a report, doesn't call to «clarify the status». In the morning on a single page — what matters today, where the risks are, what decisions are needed. The day starts with actions, not with picture assembly.
Risks become visible earlier
Overdue commitments, stuck projects, alarming signals in the thread, a decision-maker going silent — all of this used to surface at the weekly meeting. Now — in the morning digest, before it becomes a problem. The cost of an early reaction is often 10× lower than a late one.
Company commitments are kept
When the leader forgets nothing — clients, partners and the team feel it. We come back in two hours as promised; send the proposal the next day as agreed; remember the partner's child's name. This isn't «politeness», it's market reputation.
The team stops «waiting for an answer from above»
When the leader is freed from routine — they answer questions faster, unblock issues, approve complex steps. The team isn't stalled for half a day waiting for approval. A company's working speed is largely the speed of one person at the top.
Transparency for co-owners and investors
If the company has multiple owners or investors — management memory becomes a shared source: what was promised, what was delivered, how key directions are evolving. No more «let's hop on a call so I can tell you what's going on» — there's a document everyone can see.
Management capital doesn't leak with the assistant
When a personal or executive assistant quits — memory of commitments, contacts and agreements usually leaves with them. With the agent this doesn't happen: the entire management history stays with the company. A new assistant onboards with full context, not from zero.
Five changes — for the leader themselves.
Before the company-level effects — five specific changes in the leader's daily work. They are not about «convenience», they are about returning focus to what you became a leader for.
Mornings without crawling chats
Previously the first hour of the day — Telegram, email, tasks, CRM, notes. Searching for «what did I miss» and «what's important today». Now — one page: new commitments, risks, meetings, what needs your reaction today. The day starts with decisions, not with collecting.
Meetings without «remembering on the fly»
Before each call — a briefing: who you're meeting, what was discussed last time, open questions, what was promised, leads from public sources. No more «sorry, one second — let me open the thread history». You enter the conversation with full context ready.
No promise hangs in your head
What you promised a client, what a partner promised you, when you owe the investor a forecast — all in the system. No need to carry it in your head, check «did I forget», wake at 3 AM with «I was supposed to call back N». The agent remembers, the agent reminds.
Reports you don't have to compile
Weekly review on sales, projects, team — comes by itself, in your chosen format, at the right time. Not «ask the sales lead to prepare and wait a day», but a finished report you can discuss at a meeting or pass to a co-owner.
Freedom from dependency on a «single assistant»
Your personal assistant on holiday or leaving the company — no longer a catastrophe. Management context doesn't sit in one person's notebook and Telegram. Any new assistant or replacement onboards with the existing memory ready.
Eight actions — across four rhythms of a leader's day.
So all the effects don't sound abstract — here is what the agent does on an ordinary working day of a leader. Not «helps to manage», but eight specific actions performed automatically or on demand.
· Morning · day plan
Prepares the morning digest
What matters today: new commitments, risks, meetings, overdue promises, key deals. In Telegram, on a dashboard, or in email — your choice.
Pulls context on projects and people
For any name or project — a briefing: open tasks, interaction history, prior promises, the latest thread, open questions.
· Meetings
Prepares a briefing before the meeting
Ten minutes before the call — who'll be there, what was agreed, open questions, which topics to «push», which to postpone.
Prepares a summary after the meeting
From the call transcript: agreements, commitments from each side, deadlines, risks, your next step. With links to all systems where it'll be needed.
· Commitments and control
Tracks your commitments and others' to you
What you promised client X, what was promised to you, the deadline on each. A two-way registry that keeps both sides of the relationship in focus.
Reminds about overdue and upcoming deadlines
Two days before the deadline — a soft ping. After — a firm one. With a suggested message draft and deal context.
· Communications and reports
Drafts emails and messages
Meeting recap, reply to a partner, client follow-up, team thanks — in your style, taking into account the tone of the prior thread. You edit and send.
Compiles management reports on schedule
Weekly sales review, project status, team activity, open blockers. At the right time, in the right format, on one page — for you and your co-owners.
Important: none of these actions «makes decisions for you» — all decisions stay with you. The agent works on preparation and control. Sending the message, the final reply to the client, the team alignment — always you.
What we plug in — and what you get
A personal assistant sees the whole stream of your workday: messages, calendar, documents. Left — what it plugs into, right — what it returns at the right moment.
Context for your day
Collects input from all channels and feeds it at the right moment: before a meeting, decision, task
- Collects context from calendar, chats and email
- Prepares a meeting brief 5 minutes ahead
- Summarises long chats and calls
- Reminds about deadlines and follow-ups
- Drafts replies and decision options
Between «too much inbox» and «a clear next step» now stands an assistant. You don't lose context between tasks and meetings.
Where we plug in — six systems of the leader.
The personal agent operates inside the systems where your management life already lives — calendar, tasks, CRM, messengers, documents. No «let's change your stack» — we fit into what's there.
Calendar and meetings
Where the agent sees the schedule, meetings, rescheduling. From this it assembles the day plan and the briefing before each call.
Tasks and projects
Where the agent sees statuses, deadlines, owners. This builds the «project map» showing stuck tasks and risks.
CRM and sales
To see deals, contacts, funnel movement. Not «the whole CRM», but the key segments — what the leader reacts to.
Communications
Where the agent gathers thread context, commitments, the tone of dialogue. Digests and reminders are delivered here too.
Documents and notes
Sources for management context: agreements in Notion, meeting notes, strategy documents, personal notes.
Automation and triggers
Scheduled digests, overdue commitment reminders, periodic reports, reaction to critical signals.
For the pilot 2–3 sources are needed — usually a calendar + one task system + one communication channel. The rest are added in stages once we see the pilot works.
Three levels — not three pricing tiers.
The personal agent is a bit more expensive than Sales — because it works with the company's most complex «process»: the leader's time and decisions. There's no «typical process» as in sales — every owner works in their own way, and the agent is calibrated specifically for them. That requires more setup and calibration.
Compared to any other «investment in the leader's time» — a personal assistant on payroll, an executive assistant from an agency, BI dashboards, consulting — the pilot price is on the order of one month's salary of an assistant. Except the agent doesn't leave and doesn't fall ill.
Minimum working contour
1–2 management scenarios: daily digest, commitment control, meeting preparation, or a recurring report. We connect 2–3 sources — usually calendar, tasks and one communication channel.
What's included: setup for your format and tone, minimal memory of commitments and contacts, the format of reports and notifications, testing on your real tasks and meetings.
What's not included: all systems at once, regular large reports, complex sales/finance analytics, access to sensitive data, enterprise deployment.
The pilot's goal is not to sell you a full implementation. In 2–3 weeks you understand whether the agent frees hours of your day. If it doesn't — we'll say so.
Full management contour of the leader
Now it's not «1–2 scenarios» but the full management layer: connection to all required systems, recurring reports on sales/projects/team, memory across people and projects, roles for co-owners or the assistant.
- ▪Multiple data sources + RAG over corporate documents
- ▪Scheduled reports (daily, weekly, monthly)
- ▪Cron jobs and reminders for commitments and deadlines
- ▪Memory across projects, people and commitments (cumulative)
- ▪Digests on sales, projects, team, finance/documents
- ▪Roles and access limits: you / assistant / co-owner / investor
- ▪Format setup adapted to your work style and schedule
Most often the implementation is deployed on our infrastructure — SaaS style. It's faster and cheaper. If the data is sensitive — there are three other formats (see the general /agents/ page).
When the scope is finance, multiple legal entities or a closed perimeter
Enterprise starts where the personal agent must work with finance, banking data, investor reports, multiple departments or multiple legal entities. This is no longer a «personal assistant» — it's a «management contour» at the level of a corporate group.
- ▪Access to financial systems and banking reports
- ▪Support for multiple legal entities / corporate groups
- ▪Local model in a closed perimeter, no external LLMs
- ▪Roles, audit logs, SLA in the contract, backups
- ▪Integration with BI, DWH, ERP, specialized accounting systems
- ▪Model fine-tuning for the company's style and terminology
The price is calculated after technical scoping. What matters here isn't «how much we promise to save» but «what security contour is needed and which systems must be connected».
Footnote · maintenance
From 40K RUB/month
The personal agent depends on maintenance especially heavily. Your company changes faster than anything else because you are the one changing it: new clients, new projects, new meetings, new priorities. Without maintenance the agent will be running on an outdated picture in 3 months.
40K/month includes: scenario adjustments for changes in your style and priorities, updates for changes in integrated systems, adaptation to new model versions, DevNeuroX local model within the limit, monitoring, incident analysis.
When the personal agent isn't your fit.
If you keep everything in your head and you're fine with that — the agent is overkill here. The personal agent is useful for those whose context volume is already larger than comfortable to carry in memory. If your style is «I remember everything myself» and it works — don't try to break it.
If you're not ready to grant the agent access to personal messaging and calendar — this isn't our format. The personal agent by definition works with your contour: your chats, your email, your meetings. Without access it can't gather context. If there are doubts — in the pilot we discuss which sources are connected, which aren't, and where the boundaries are.
If you're looking for «a bot that writes for you» — this isn't the personal agent. All emails, messages, replies to clients and partners stay with you. The agent prepares drafts; you edit and send. If you expect «autonomous sending in my name» — that's not our approach, there are too many market examples of how this ends.
If you don't have a working rhythm — you need to assemble it first, then connect the agent. If your day is «as it goes», without a plan and without priorities, the agent won't turn chaos into a system. It amplifies an existing order but doesn't create one from scratch.
If you expect a guarantee of «+N hours a day» — we don't work that way. Time freed depends on you no less than on the agent: how much you're ready to delegate assembly, trust the digest, not dive into details the agent already covered. In the pilot we see the real picture and discuss it honestly.
If any of the above describes you, mention it on the first call. We'll either propose a different configuration or honestly say that in your case the agent isn't needed. Your time and ours.
We don't just deploy — we teach people to use AI properly.
In 2–3 years AI tools will be the standard in engineering and business teams. Whoever starts learning now will gain a competitive advantage that latecomers won't have. That's why we have a separate direction: training client teams, so that AI tools and agents don't become «a toy for 3 months», but turn into part of the working process.
Corporate programs for adopting AI in development
For company engineering teams that want to switch to the AI-native approach. A 2–4 week program: review of the team's stack, selecting AI tools for the tasks, training on using them, ramp-up to regular production use. Not a «theoretical course», but a real shift in how the team works.
CTO, tech leads, developers · teams 5–50+
Client team onboarding for working with AI agents
Once we've deployed Sales, Personal, Support, RAG or another agent — we train your team to work with it well. How to adjust scenarios, write prompts for typical tasks, handle complex cases, give the agent feedback for improvement. Without this even a well-deployed agent gets «abandoned» in 3 months.
Client operational teams · typically after agent deployment
«Where to start with AI» mentor sessions for executives
Short individual sessions with CEOs, CTOs, business owners: which AI tools actually work, where to start in your company, how to link AI to business goals, how not to burn budget on «let's try something trendy». Sessions — 90 minutes, with a concrete roadmap as the output.
CEO, CTO, owners · 90-minute sessions
Open learning materials in the Telegram channel
A free column in our Telegram channel @dxaiblog. AI tool reviews, practices from real projects, mistakes and how to avoid them, reviews of new models and platforms. Anyone can subscribe — engineer, owner, product manager. This is the public part of our education, no commitment.
Anyone exploring AI · public channel · free
Training cost is discussed individually — depends on team size, format (online/hybrid/corporate visit), program depth, and whether you need a process built from scratch or accompaniment of an existing one.
If you want to start small — subscribe to the Telegram channel @dxaiblog. All materials there are free. That's our «step zero» of training.
Describe your management rhythm — we'll respond with an analysis within 2 hours
We reply within 2 hours during business hours. In the pilot call we'll show where the agent pays off and where it shouldn't be tried.