AI for departments: sales, HR, and support
We help departments remove repeated manual work where leads, candidates, tickets, documents, and CRM updates live across messengers, spreadsheets, and internal systems. The work starts with one concrete workflow, not a vague company-wide AI rollout.
Where AI helps departments
The best first workflows are usually where teams repeat the same actions every day: triage inbound work, search for information, move data between systems, draft replies, and hand tasks to the next person.
Sales and inbound leads
AI parses leads from WhatsApp, Telegram, the website, email, or CRM: contact details, product, city, urgency, and next step.
Managers get a usable customer record and a suggestion instead of a raw message stream.
HR and recruiting
An agent collects candidate details, checks required criteria, answers common questions, and routes edge cases to recruiters.
Recruiters spend less time on the first mile and see qualified candidates faster.
Customer support
AI answers from the knowledge base, collects case details, detects escalation moments, and hands the operator a short summary.
Common questions close faster, while sensitive cases do not get trapped in automation.
Documents and back office
The system searches policies, contracts, PDFs, and sheets, extracts fields, prepares drafts, and shows answer sources.
Staff copy less data by hand and find the current rule faster.
CRM and statuses
AI helps fill fields, classify requests, draft follow-ups, change statuses with human confirmation, and leave an action log.
CRM gets closer to the real workflow instead of living apart from conversations.
Management and quality control
We group reports by frequent topics, errors, handoffs, delays, and knowledge-base gaps that need updates.
The department sees not only response speed, but also why the same problems keep repeating.
When a department needs custom AI
Custom development starts to make sense when a basic bot or CRM automation is no longer enough: data lives in several systems, access rules matter, language matters, answer quality matters, and a person still needs to take over at the right moment.
- The department manually triages leads, candidates, tickets, documents, or statuses every day.
- CRM, WhatsApp, Telegram, email, documents, spreadsheets, or an internal API need to work together.
- AI should prepare the next step: a record, draft, status, summary, or handoff to a person.
- Leadership needs logs, quality control, and clear rules for where automation must stop.
What the build includes
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Task and data audit
We inspect real tickets, documents, spreadsheets, and access rules.
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Scenario design
We define where AI replies, where it acts, and where a human stays in the loop.
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Prototype
We build a working first version against samples from your actual workflow.
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Integrations
We connect CRM, messengers, databases, documents, or internal APIs.
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Testing
We test on real dialogs, questions, and files, not just friendly demo prompts.
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Launch
We put the system into work with clear roles, logs, and control points.
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Quality monitoring
We review wrong answers, edge cases, escalations, and user behavior.
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Support and iteration
We improve scenarios after launch, once real usage starts showing the truth.
Related department workflow work
These projects are close in shape: teams, requests, messengers, documents, roles, CRM, human handoff, and AI logic over real workflows.
Olzhas — Magnum Knowledge Base
An internal AI assistant for Magnum employees: ask a question in plain language, get an answer pulled from the company knowledge base.
Internal Comms · LMS Integration · EnterpriseMagnum Notifications & LMS
Internal notification platform for Magnum: training reminders pulled from the LMS, plus targeted corporate broadcasts to specific stores, departments and offices.
AI Infrastructure · Telegram Mini-App · EventsKaizen Club · TheNext
AI infrastructure for Margulan Seisembai's business summit in Abu Dhabi — one Telegram Mini-App: tickets, entry, networking, AI avatars, and business diagnostics.
Operations · Supplier OnboardingCompass
A supplier onboarding workflow for Compass, focused on moving operational steps out of scattered manual coordination.
Integrations
We usually connect CRM, WhatsApp, Telegram, email, knowledge bases, documents, spreadsheets, internal APIs, and AI services where they genuinely remove load from the department.
- CRM
- Telegram
- Google Sheets
- Notion
- Airtable
- 1C
- Bitrix24
- amoCRM
- PostgreSQL
- Supabase
- OpenAI
- Anthropic
- Custom API
- Vector databases
Security and data handling
We design the architecture around your requirements: roles, access rules, action logs, source restrictions, and answer checks
- Not every data source has to be sent to a public model. Some logic can stay inside your infrastructure.
- Document access and agent actions can be restricted by role.
- For important decisions, we add human-in-the-loop review: AI prepares the answer or draft, a person confirms it.
- Test environments stay separate from production, so scenarios and prompts can be checked safely.
Timeline and pricing
Pricing depends on integrations, data quality, access roles, testing scope, and infrastructure requirements. Each stage is paid separately.
AI agent
A scenario, answers from your materials, handoff to a manager
from ₸1,000,000 · 2–4 weeks
AI in a CRM or 1C
One feature inside the system: request parsing, draft replies, document sorting
from ₸700,000 · 1–2 weeks
Document search
An assistant over your policies and knowledge base, answers with a source link, role-based access, a test set
from ₸1,500,000 · 3–5 weeks
Support
Every month we run the test set, update the knowledge base and review disputed answers
₸100,000–500,000 per month
Why azamat.ai
- We start with the department and workflow, not with buying a model or polishing a demo.
- We can connect LLMs, CRM, messengers, documents, interfaces, and access control.
- We design human-in-the-loop where mistakes cost money, reputation, or legal risk.
- The founder stays involved in architecture and hard product calls.
- Our work covers HR, support, knowledge bases, notifications, events, education, and customer workflows.
Frequently asked questions
Usually the one with repeated inbound work: sales, support, HR, or back office. We pick one workflow where the effect can be checked on real data quickly.
It depends on the workflow. Sometimes a WhatsApp or Telegram agent is enough. Sometimes AI should sit inside CRM, a work panel, or an internal tool so the team does not switch between windows.
Yes. We build on top of the tools you already run: WhatsApp, Telegram, amoCRM, Bitrix24, 1C, Google Sheets, Notion, and internal APIs. We check the access model and limits of each integration before development. Early on we define what AI may write directly and what it should only suggest to a person.
We separate access by role, limit approved sources, and log what the AI does. Financial, legal, HR, and other sensitive decisions require a human handoff. Disputed answers are reviewed against real conversations and added to the test set.
A process owner who makes decisions, 30–100 real requests, conversations, or documents, a list of systems with access to their test APIs, handoff rules, and examples of good team answers. The knowledge base does not have to be perfect: we build the test set together.
Let’s talk
Tell us which department, inbound flow, and systems hold the work today. We will suggest one first AI workflow that can be tested without a vague enterprise rollout.
I read every request myself.