FOR OPERATIONS

Back-office without the manual routine

Requests get lost between departments, deadlines live in someone’s memory, and you hear about a missed one from the customer. The AI assigns each task to an owner with a deadline and flags a delay the minute it happens.

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On top of 1C and your PBX · role-based access, audit logs

Operations department · task flowThe AI employee tracks deadlines16:05

1Request

Customer · TelegramPlease send the September reconciliation statement, we need it by Friday16:05

AI employee: Passed it to accounting. You’ll have the statement tomorrow by 12:0016:05

2Task in CRM

September reconciliation statementOverdue
Nilufaraccounting · owner
created 16:05reminded 10:00due 12:00

Escalated to the head of department · 12:00

3Department board

Today6
Overdue1Reconciliation statementNilufar · 12:00
Done14

43Report to the manager

Department summary · 09:00

  • Closed on time14
  • Overdue: reconciliation statement, Nilufar1

What the AI didSample process, not client data

  • Understood the requestSeptember statement
  • Task to the owneraccounting, Nilufar
  • Deadline and reminder12:00, reminded at 10:00
  • Delay visible at onceescalated to the manager
  • Summary at 09:00to the manager in Telegram
from 2 hourslaunch with no integratorup to 30 daysenterprise with ERP and on-prem24/7processes with no downtime
DEPARTMENT PAIN

Where tasks get lost between departments

The process lives in chats, Excel and people’s heads. At every handoff the task loses its owner and its deadline.

One request’s path without a systemBatch return · four departments · three days

  1. Mon 10:20 · SalesCustomer asks to return a batch. The sales rep jots it in a notebook
  2. Gap: forwarded to a personal chat
  3. Mon 17:40 · WarehouseStorekeeper adds a row in Excel, no deadline
  4. Gap: “thought accounting had it”
  5. Wed 11:00 · AccountingAccountant waits for the warehouse to confirm
  6. Wed 16:30 · customer calls the CEO

The manager learns about the request from a complaint, not from the boardWith AI every handoff is a task with an owner and a deadline

Illustration, not a measurement

  • Routine eats the team’s time

    Statuses and routine questions take hours from people

  • Data scattered across systems

    1C, Excel and chats: reconciling takes longer than working

  • Manual notifications and calls

    Staff phone around by hand — slow, with gaps

  • No single control of processes

    Delays surface late — from a customer complaint

SCENARIOS

Three processes the AI runs on its own

Today rules, call-arounds and statuses rely on staff memory. The AI runs them itself, and every action is visible in the CRM.

Where it works

  • Automation builder
  • AI CRM

What the AI does

  • Starts a workflow on an event: request, call, deal
  • Assigns an owner by department or in rotation
  • Escalates a task that has stalled

Result

No process step depends on someone remembering

Rule “Escalate on deadline”Active · no code
  • TriggerTask open for 4 hoursany departmentConditionHigh priority?yesActionEscalate to the managerand post in TelegramnoActionRemind the assigneerepeat in 1 hourEvery rule run is in the audit logs
Sample rule in the builder
HOW ZUKKO HELPS

What does AI take off an operations team?

Each agent takes its own share of the department’s routine. Connect the ones your processes need.

  • AI CRM

    The department’s tasks, deadlines and statuses on one board

    AI CRM

  • Voice AI

    Makes the calls: confirmations, reminders and surveys

    Voice AI

  • Inbox AI

    Closes routine requests 24/7 across every channel

    Inbox AI

  • Call Analytics

    Every process call scored on one checklist

    Call Analytics

  • Security

    Role-based access and audit logs for every action

    Security

Call analytics on Start: up to 300 a month · AI calls on the Enterprise plan from 15,000,000 UZS/mo

FULL CYCLE

How does AI automate back-office and operations work?

An AI employee (AI agent) for an operations team is an AI CRM with automations: every request becomes a task with an owner and a deadline. The AI closes routine work itself, and every action is written to the audit logs.

  1. Event

    An email, call, message or 1C record

  2. Task

    Creates a task with a type and priority

  3. Owner

    Assigns by department or in rotation

  4. Deadline

    Sets a deadline and reminds ahead of it

  5. Decision

    Staff decide, the AI tells the customer the outcome

  6. Closed

    Task closed, history in the audit logs

One path for calls, email, Telegram and 1C — only the source changes

Six steps: event, task, owner, deadline and reminder, staff decision, closing with an audit log entry.

DIVISION OF LABOUR

What does the AI do, and what stays with the team?

The AI takes the steps that repeat every day. The team decides where judgement, money and accountability are involved.

The AI does

  • Creates tasks on events and assigns owners
  • Reminds about deadlines and escalates delays
  • Calls and notifies customers
  • Answers on statuses from 1C and the CRM
  • Scores process calls against a checklist

The team keeps

  • Exceptions and non-standard cases
  • Money: refunds, discounts, compensation
  • Department workload and moving deadlines
  • New rules and procedures

The AI hands over the task with the full request and call history, so no one asks twice

TRANSPARENCY

Routine moves to AI — the team works with people

Process quality used to be judged on a handful of calls someone listened to. Now every call is scored against a checklist, and breaches are visible by morning.

Spot checks5 of 100

Call Analytics100 of 100

Morning review · 09:00

  • Didn’t give a resolution date2 calls
  • Didn’t offer a next step1 call
  • Didn’t confirm customer details1 call

Illustration of one shift, not client data

  • Routine requests and notifications — automated 24/7
  • One set of data instead of manual reconciliation
  • Audit logs and call quality control
  • Bottlenecks show up at once, not after the fact
NEXT STEP

See the AI on your own department’s processes

On a demo call we’ll build a rule for one of your requests: task, deadline, escalation and summary. Then you connect it and launch it yourself.

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SMB — from 2 hours, enterprise with ERP — up to 30 days

BEFORE AND AFTER

What changes in the back office once AI is live?

The processes stay the same, but steps move with no manual copying. The manager sees the whole department.

ProcessBeforeWith AI
DeadlinesRely on memoryA task with an owner and a deadline
Routine requestsAn agent answers by handAI closes them automatically
NotificationsStaff call by handVoice AI notifies on its own
DataScattered across systemsA single card and stack
ControlNo process visibilityAudit logs and call QA
INTEGRATIONS

Plugs into your stack

Accounting and data

  • 1C
  • MoySklad
  • Google Sheets
  • ERPvia API

Channels

  • Telegram
  • WhatsApp
  • Email
  • Website

Telephony

  • Telephony (any PBX)
  • SIP
  • SMS

Control

  • Role-based access
  • Audit logs
  • On-prem for enterprise

Runs on top of your systems, no need to rebuild your stack · API and webhooks from the Business plan

WHAT IT LOOKS LIKE

Typical scenario

In the morning the manager opens the summary in Telegram: what closed on time, where there’s a delay and who owns it. The stand-up starts with decisions, not with collecting statuses.

A typical operations scenario, not a customer review.

  • 24/7processes with no downtime
  • 11+channels in one stack
  • 3 languagesvoice and chat
QUESTIONS

Frequently asked

Which back-office processes can be automated?

Opening and closing tasks on events, deadlines, reminders and escalations, routine customer and employee requests, order and payment statuses, confirmation calls and notifications, and reconciling data between systems. Decisions that need human judgement stay with the team: the AI prepares the context and hands the task to an owner with the full history of the request and calls.

Does the platform integrate with 1C and our systems?

Yes. It connects to 1C, ERP, telephony and CRM. Products, prices, stock levels and payment statuses arrive from 1C in real time, the other systems are linked through the API and webhooks from the Business plan, or with your own integration on the Enterprise plan by quote, and telephony works with any PBX. You don’t need to rewrite existing systems: automations are configured on top of what already runs.

How safe is this for internal data?

Access is role-based, every action is written to audit logs, and personal data is masked by default. For regulated data an on-premise deployment inside your own perimeter is available, and the list of integrations and role permissions is agreed during the security review.

Which languages does Voice AI work in?

Uzbek, Russian and English, in voice, with the language switching inside a single call. The other person answers in their own language, and the outcome returns to the card as text: a transcript, what was agreed and the next step. There is one call script, with no separate setup per language.

How do we see where a process gets stuck?

Every task and every call stays in the system with a date, an owner and a status, so overdue items and stalled stages appear on the board the moment they occur, not in a report a month later. Call analytics adds the reasons behind repeat requests. Call reviews on the Start plan are capped at 300 a month, and the Business plan lifts that limit.

How long does it take to launch AI in operations?

You launch the SMB scenario yourself: describe the process, connect the channels and switch on the automation rules — from 2 hours to the first automatic task. An enterprise setup with ERP integration, role-based access and on-premise deployment takes up to 30 days, including the security review.

FOR OPERATIONS

Launch AI in your operations

On a demo call we’ll show it on your processes: a task from an event, a deadline, an escalation and a summary for the manager.

Get a demo callContact us

SMB — from 2 hours · enterprise — up to 30 days · role-based access and audit logs