Agent · sales
AI sales agent — this is company amplification in the market,
not funnel automation.
Over the last two years we've deployed AI in dozens of sales departments. Same picture everywhere: good product, good tools, CRM in place — and the company hits a ceiling because people leave, juniors take 6 months to ramp, and managers spend 40% of their time on forms instead of customers. So we built the sales agent — not as a «robot salesperson», but as an employee you can't fire, who doesn't forget and doesn't repeat mistakes.
Memory doesn't leakA salesperson quits — clients, phrasings, experience stay. Churn stops being a catastrophe.
Manager with the customer, not the formThe routine moves to the agent. The human does what they were hired for — conversation, trust, negotiation.
In 2–3 years this is the standardThose who start now accumulate memory about their customers. Latecomers get the same tool, without the capital.
Why we built this — and why now.
For several years we looked at how B2B sales are run in dozens of companies — from regional manufacturers to federal integrators. And we saw something that doesn't depend on the industry: the biggest losses in sales aren't because of a bad product or a weak CRM. They happen because people leave and take their experience with them. A top performer quits — and their clients, their phrasing, their understanding of the segment leaves with them. A new hire ramps up for 6 months on their own mistakes. The sales lead spends part of the day just trying to understand what's happening in the funnel.
At the same time we saw that managers don't actually do sales. They work on forms, summaries, draft proposals, CRM field updates. By our measurements — up to 40% of their time. So half the day your best salesperson does administrator work. That's not optimization — that's a loss of focus on what matters: the conversation with the customer, understanding their task, building trust.
The solution we were looking for had to close both: preserve the company's experience regardless of churn and give the manager back the conversation with the customer. CRM automation doesn't do that — it automates rules, but doesn't accumulate knowledge. An AI helper in a chat doesn't do that either — it has no memory of your company, your customers, your style. We needed an employee — but a digital one. One that remembers, holds a standard, and doesn't leave. That's how the sales agent was born.
And why now
In 2–3 years an AI agent in sales — is the industry standard.
It's already visible — in the pace of adoption and the pace of model development. The question isn't «will this happen or not» but «will you be first or last». Companies that start now accumulate memory: a year of agent work is a year of knowledge about your customers, your deals, your phrasings, your loss reasons.
Latecomers will get the same tool — but without the accumulated capital. Algorithms and models can be bought, but your individuality in the market cannot. It's built now — in every thread, every deal, every report. A year later it can't be replicated in a month.
Six systemic effects — at the level of the entire company.
The sales agent doesn't change one manager's work. It changes how the company looks in the market: how quickly it replies, how consistently it holds the standard, how deeply it knows its customers. This isn't a feature — it's a systemic shift, and it compounds.
Speed of response
The customer gets a meaningful reply in minutes, not hours — regardless of team load, day of week or who is on shift. In a market where speed converts to share, this is a direct competitive advantage — not a «workload on managers» issue.
The quality standard is always met
A lead doesn't get «luck of the draw» — they get qualification, summary and follow-up by your company's rules, in the right tone, with the historical playbook of your top performers. The company stops depending on who happens to pick up the request today.
CRM data quality grows
Cards are filled immediately, summaries are written after every call, risks are logged on time. The CRM stops being a «dumpster of half-baked notes» and becomes an analytical asset — reports become honest, forecasts substantiated.
Customer focus rises
Managers stop drowning in routine and actually talk to customers — listening, digging in, answering the customer's question rather than the CRM form. The customer feels it from the first touchpoint. In a market where a competitor is one click away, this is the differentiator.
Less money lost on churn
A salesperson quits — but their clients, their winning moves, their understanding of the segment, the loss reasons on specific deals stay in the agent's memory. The «funnel hole after a departure» is closed. The new hire enters with a «senior teammate» in their pocket, not from zero.
The company's individuality grows
The agent works in your style, on your data, for your segments. This is a unique asset that can't be bought from a competitor and can't be replicated in a month. The longer it operates — the deeper it gets. A year of work is a year of accumulating what makes you different in the market.
Five changes — for those who sell.
Salespeople aren't numbers on a dashboard. They are people with their own strengths and weaknesses, their own workload, their own fatigue, their own ramp-up curve. The sales agent changes their daily life along five lines.
Department memory stops leaking with the manager
When a top performer leaves — their clients, phrasings, deal histories, loss reasons don't leave with them. They stay in the agent and are available to the team from day one. Churn stops being a «funnel hole» — it becomes an ordinary HR situation.
A new hire closes their first deal in 2 weeks, not 6 months
A junior has from day one: «this client had this objection before — here's what worked», a proposal template with the right argument for the segment, the summary of the last meeting with that company. They don't learn from their own mistakes — they start with the department's memory at their back.
The top performer fully unfolds
The best manager stops spending 40% of their time on proposals, summaries and CRM updates. That time moves to conversations with customers — what they were actually hired for. The company's most expensive resource works as intended, not «in administrator mode».
The quality standard for everyone — regardless of seniority
Even a junior produces qualification and follow-up at a mid-level standard because the agent provides context and phrasing. The sales lead no longer has to «poke» every deal manually — they work on the ones that actually need intervention.
Less routine — more customer focus
The manager listens to the customer rather than filling in fields. Thinks about the proposal rather than typing the same email a third time. The customer feels it in every reply and every call — and that's exactly why a business keeps humans in sales, not bots.
Eight actions — across four points of the funnel.
So all the effects from the previous chapters don't sound abstract — here is what the agent actually does in the funnel. Not «helps to sell», but eight specific actions performed automatically or on demand.
· On intake
Qualifies the inbound request
Source, need, budget, urgency, contact role — by your company's rules. Not «hot/cold», but with an explanation of why.
Pulls customer context
Past touchpoints, open deals, prior objections, website, news, documents — in a minute, on one briefing page for the manager before the call.
· In the deal card
Creates and updates the deal in the CRM
Card, company link, stage, owner — no manual duplication. Duplicates are checked by email/phone, nothing «doubles up».
Drafts the post-call summary
From the call transcript: agreements, objections, risks, next step, deal stage update. The manager reviews and confirms.
· On outbound
Drafts the follow-up message
Meeting recap, proposal draft, clarifying questions, deadline reminders — in the tone of the prior thread and your team's style.
Reminds about the next step
If a deal has no next step or the date is overdue — the manager gets a notification with a suggested action and a ready draft.
· On control
Flags risks and stuck deals
Competitor in the thread, decision-maker silent, budget shifted, stuck more than N days — a signal to the sales lead before the loss, not after.
Prepares the daily/weekly summary for the sales lead
New leads, deals without next steps, overdue follow-ups, risks, team activity — one page in Telegram or on the CRM dashboard in the morning.
Steps 1–5 fit into 3–5 minutes from the moment the request appears. That's the speed mentioned in chapter 02: while the customer is waiting for the first reply, you already have a card, a qualification and a prepared draft.
What we plug in — and what you get
Here's how the Sales agent works in one diagram: on the left — channels through which leads arrive, on the right — what appears in your CRM and sales tools, in the centre — what the agent does between them.
No leads slip
Receives the lead, qualifies it, hands it to the manager with a ready card
- Receives leads from any channel 24/7
- Clarifies missing data within 1–2 messages
- Creates a filled card in your CRM
- Assigns the manager and meeting slot
- Follows up if the client goes silent
The agent is a layer between the chaos of channels and the order of the CRM. All channels land in one window. The manager only gets what's ready to work with.
Where we plug in — six points, not a «universal connector».
For the agent to actually be «a company employee» it has to live inside your working systems, not next to them. You pick the specific systems — we connect to what's already in use. Not «let's change your CRM», but «let's fit into what's there».
CRM
The funnel's heart. The agent reads cards, writes summaries, updates stages. We connect via API or webhooks.
Inbound channels
Where leads come from. We start with one primary channel; the rest get plugged in later.
Documents and proposals
Sources for drafting proposals, specifications and customer-facing materials. The agent uses them with source attribution.
Calls and meetings
For post-call summaries and objection analysis. We work with transcripts — call recordings according to agreed rules.
Automation
Triggers, schedules, event handlers. We use ready platforms or custom connectors.
AI models
Chosen for the task and jurisdiction requirements. Not tied to a single provider.
For the pilot we need two integrations: one CRM and one inbound channel. The rest are added after the pilot proves value — usually at the implementation stage.
Three levels — not three pricing tiers.
Straight to the range. The sales agent is not rule-based CRM automation. It's a different category of product — with memory, context, language models, training on your data. That's why the base price is 5–10× higher than configuring a boxed CRM. And much lower than building a custom solution from scratch.
Within our matrix of 8 directions, Sales is the most accessible agent. The 250K RUB pilot is intentionally low so you can verify value in 2–3 weeks and make an informed decision — not pay for «maybe».
Minimum working contour
One sales process. One CRM integration. One inbound channel. 2–3 scenarios: qualification, follow-up, reminders. Tested on your actual requests — not a demo prototype.
What's included: qualification logic setup, prompts and response rules, minimal dialog/deal memory, basic summary for the sales lead, results review with the team.
What's not included: multiple CRMs, a large RAG knowledge base across all products, complex department analytics, autonomous actions without approval, enterprise deployment.
The pilot's goal is not to sell you a full implementation. In 2–3 weeks you understand whether the agent pays off in your funnel. If it doesn't — we'll say so.
Agent for the whole sales team
Once the pilot proves value, we roll the agent out across the full department workload. This isn't «the same thing for more money». It's a qualitatively different project:
- ▪All major inbound channels and full CRM integration
- ▪Catalogs of products, segments, statuses, loss reasons
- ▪Scenarios for different lead types and regions
- ▪Cron jobs: scheduled reminders, periodic reports
- ▪Deep reports for the sales lead: loss reasons, activity, forecast
- ▪Roles and permissions for managers and leads, audit logs
- ▪Team training and rules of engagement with the agent
Most often the implementation is deployed on our infrastructure — SaaS-style. It's faster, cheaper and easier to maintain.
When sales isn't a single department
Enterprise isn't «a more expensive version of implementation». It's a separate infrastructure project that begins with technical scoping: what infrastructure you have, which CRMs/telephony/BI, what data requirements, what SLA.
- ▪Multiple sales departments in different regions or multiple legal entities
- ▪Multiple CRMs / funnels / product lines
- ▪Integration with telephony, BI, ERP, DWH
- ▪Private deployment inside the customer's perimeter, local models
- ▪Roles, audit logs, SLA in the contract, backups
- ▪External LLMs forbidden by security policy
The price is calculated after technical scoping. Not because we hide it — but because an enterprise contour at a bank and at an industrial holding are different engineering problems.
Footnote · maintenance
From 40K RUB/month
The sales agent lives in three constantly changing environments: your team (new salespeople, new products, new segments), the models (every 2–3 months an API or version changes) and the infrastructure (if SaaS — we run servers, certificates, backups).
40K/month includes: monitoring, prompt adjustments for process changes, adaptation to new model versions, SaaS infrastructure (if hosted with us), incident analysis, DevNeuroX local model within the limit. Separately: external model tokens, major new scenarios, on-prem servers (for enterprise).
When the sales agent isn't your fit.
If you have one salesperson and 5 leads a week — configuring the built-in automation in Bitrix24, amoCRM or HubSpot will cost 50–80K RUB. The sales agent is overkill here. Come back when volume grows or when you want to scale the work style of your top performer.
If there's no CRM, or nobody actually uses it — you need to assemble a basic process first. The agent won't fix a broken sales process. It will amplify what already works.
If you want to give the agent full autonomy — with no approval step, no audit log, no limits on what gets sent to the customer — that's not our format. We always leave the final decision on customer communication with a human. Otherwise the risks aren't justified by the value.
If you expect a guaranteed «+30% conversion» — we don't operate on those promises. Only what's measurable: leads don't get lost, follow-ups aren't forgotten, the CRM stays current, the sales lead sees risks before the loss. Conversion depends on you no less than on the agent.
If calls and messaging can't be processed for compliance reasons — you'll be limited to text channels and CRM data without audio. This is a workable scenario but capabilities are reduced — no post-call summary or call-based objection analysis.
If any of the above describes you, mention it on the first call. We'll either propose a different configuration, or honestly point you to the right tool. We don't waste time — yours or 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 funnel — 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.