01 Customer → WhatsApp
The customer writes. Support begins.
Camila describes the problem on WhatsApp. Your agent receives it in the same channel.
All apps An inquiry comes in.
Support Agent · Care that follows through
An inquiry comes in.
A solution moves forward.
Your agent handles messages and calls, records the case and connects it with the person who can solve it. See every step, through to closure.
Your channels. Your team. One shared history.
Scroll down. See what happens next.
Support Agent
Actual product screens. Sample data.
Support starts wherever you are needed.
- Telegram
- Phone calls
ONE CASE, EVERY DETAIL
Watch a message become a solution.
Camila has lost her Internet connection. Follow your agent from the first hello to the customer's confirmation that everything works again.
Support
Agent Receiving report Explore modules 02 AI Agent → Customer
Understand what happened first.
The agent replies, asks when it started and checks what the customer already tried. It gathers context before creating a ticket.
03 Customer → AI Agent
A useful question saves starting over.
Camila confirms the time, the restart and the red light. These details will travel with the ticket to its owner.
04 AI Agent · Ticket subject
From the queue to a new ticket.
The agent opens the queue, where other cases are already being handled. It selects New ticket and enters the subject in the real creation form.
05 AI Agent · Incident description
The conversation becomes an actionable report.
The agent records the symptom, start time, scope and troubleshooting already done. The owner receives the full context.
06 AI Agent · Type and priority
The case is classified for support.
It is recorded as an incident with a priority. Classification criteria follow the rules of your operation.
07 AI Agent → Ana López
Ana receives a case with context.
The agent assigns Ana López. The ticket shows who owns the case alongside Camila's original report.
08 BotTasker · Ticket created
The report now has a number: TK-00020.
Requester, description, priority and owner are in one record. The case has a reference for the entire support journey.
09 AI Agent → Customer
Back to WhatsApp, with a confirmation.
Camila receives the ticket number, its owner's name and the next step. The agent keeps the conversation together.
10 Example board · Pending
The case has a place on the board.
The card starts in Pending. Your team can see incoming cases and which ones still need someone to act.
11 Ana López · In progress
Ana starts. The card changes columns.
The owner takes the case and changes its state to In progress. The whole team can see the progress.
12 AI Agent → Ana López’s session
The agent sends it. Ana receives it in BotTasker.
The follow-up sends a reminder to Ana, the case owner. The animation illustrates her receiving it in her session, identifying ticket TK-00020 and opening it to check the connection and record progress.
13 AI Agent → WhatsApp
The customer knows the case is moving.
The agent returns to the same chat with a ticket update. Internal reminders and customer replies both have a place in the journey.
14 Ana López → AI Agent
Ana records the fix. The board reflects it.
The solution is written in the ticket and the card reaches Completed. The agent checks the outcome and asks the customer to verify.
15 Customer + AI Agent · Resolved
The customer gets the final word, too.
Camila confirms the connection works. The agent replies, with the ticket, solution and support history kept as a reference.
16 Dashboard · Service control
From a resolved case to measurable support.
The dashboard brings together volume, backlog, service times, SLA, satisfaction and AI or human resolutions. Figures are illustrative; each indicator uses your operation’s data sources and rules.
Support · AI Agent online
TODAY Support · AI Agent Support · AI Agent Support · AI Agent Support · AI Agent Support · AI Agent Support · AI Agent
Messages and calls are end-to-end encrypted.
Support · AI Agent Hi, Camila. I'll help. When did it start? Have you restarted the router, and which lights are on?
Support · AI Agent Thanks for those details. I'll record the incident and assign a support owner.
Support · AI Agent All set, Camila. I created ticket TK-00020 and assigned it to Ana López. It includes what you already tried. I'll keep you updated.
Support · AI Agent An update on TK-00020: Ana is checking the connection. Your case is in progress; there's no need to report it again.
Support · AI Agent Ana recorded that the connection is restored. Could you check whether your devices connect now?
Support · AI Agent Great! Ticket TK-00020 is resolved. The solution and the full support history stay on record. We're here if you need us.
Support · AI Agent typing…
BotTasker · Support tickets
Sin conexión a Internet
Camila reporta que está sin Internet desde las 9:00. Reinició el router y la luz LOS sigue roja. El problema afecta a todos los dispositivos.
Media
Ana López
TK-00020 ·
Sin conexión a Internet
Camila reporta que está sin Internet desde las 9:00. Reinició el router y la luz LOS sigue roja. El problema afecta a todos los dispositivos.
AL
Ana López
Se restableció la conexión y se validó el servicio con la cliente.
✓
Ticket createdTK-00020
Owner assignedAna López
Pendiente → En curso → Completado
Notify the current owner First reminder → Repeat → Delivery history Stops when the ticket is resolved, closed or cancelled.
ACTUAL INTERFACE · LOCAL VERSION
From message to ticket
Camila reporta que está sin Internet desde las 9:00. Reinició el router y la luz LOS sigue roja. El problema afecta a todos los dispositivos.
The context stays with the case
✓ Owner assigned
01 / 16
Illustrative WhatsApp · System captured from the local versionScroll or play the story
Read the full walkthrough
- The customer writes. Support begins.
Camila describes the problem on WhatsApp. Your agent receives it in the same channel.
- Understand what happened first.
The agent replies, asks when it started and checks what the customer already tried. It gathers context before creating a ticket.
- A useful question saves starting over.
Camila confirms the time, the restart and the red light. These details will travel with the ticket to its owner.
- From the queue to a new ticket.
The agent opens the queue, where other cases are already being handled. It selects New ticket and enters the subject in the real creation form.
- The conversation becomes an actionable report.
The agent records the symptom, start time, scope and troubleshooting already done. The owner receives the full context.
- The case is classified for support.
It is recorded as an incident with a priority. Classification criteria follow the rules of your operation.
- Ana receives a case with context.
The agent assigns Ana López. The ticket shows who owns the case alongside Camila's original report.
- The report now has a number: TK-00020.
Requester, description, priority and owner are in one record. The case has a reference for the entire support journey.
- Back to WhatsApp, with a confirmation.
Camila receives the ticket number, its owner's name and the next step. The agent keeps the conversation together.
- The case has a place on the board.
The card starts in Pending. Your team can see incoming cases and which ones still need someone to act.
- Ana starts. The card changes columns.
The owner takes the case and changes its state to In progress. The whole team can see the progress.
- The agent sends it. Ana receives it in BotTasker.
The follow-up sends a reminder to Ana, the case owner. The animation illustrates her receiving it in her session, identifying ticket TK-00020 and opening it to check the connection and record progress.
- The customer knows the case is moving.
The agent returns to the same chat with a ticket update. Internal reminders and customer replies both have a place in the journey.
- Ana records the fix. The board reflects it.
The solution is written in the ticket and the card reaches Completed. The agent checks the outcome and asks the customer to verify.
- The customer gets the final word, too.
Camila confirms the connection works. The agent replies, with the ticket, solution and support history kept as a reference.
- From a resolved case to measurable support.
The dashboard brings together volume, backlog, service times, SLA, satisfaction and AI or human resolutions. Figures are illustrative; each indicator uses your operation’s data sources and rules.
AI + PEOPLE, IN THE SAME SUPPORT JOURNEY
Autonomy to resolve. Your team can always step in.
Camila’s case needed an owner. Other reports can be resolved by the agent, depending on the knowledge, tools and rules you configure.
Resolve with your knowledge base
With a prepared knowledge base, the agent can consult procedures and solutions, guide customers and resolve reports within its scope without handing every case to a person. It records the work and confirms the outcome before closure.
A person can take control
Your team can join the conversation, reply and continue the ticket with its history in view. Manual intervention allows the agent’s attention to pause while a person takes over.
Hand over when the case needs it
When information is missing, a procedure does not solve the problem or human judgment is needed, the agent can assign the case according to your rules. The owner receives the report, troubleshooting and evidence; the customer keeps the same conversation.
A case closes. The operation stays in view.
Track workload, response speed and service quality. Compare AI resolutions with cases handled by your team and identify what needs action.
On mobile, swipe the dashboard to read every indicator.
Volume and backlog
Received and resolved tickets, backlog, aging and reopened cases.
Service times
First response, resolution time and average handling time. Compare channels, priorities and owners.
Service quality
SLA compliance, overdue tickets, customer satisfaction (CSAT) and first-contact resolution (FCR).
Autonomy and handoffs
AI resolutions, cases handled by people and handoff share. Find opportunities to improve the knowledge base.
Demand and channels
Incoming and resolved tickets over time, channel distribution and queues by status. Identify peaks and buildup.
Priorities and team
Urgent and unassigned tickets, workload per person and cases open for too long.
Define business hours, SLA rules and data sources for each indicator. The sample AI and human percentages refer to resolved tickets; time and satisfaction metrics require service records and survey responses.
Connected support.
A connected team.
Explore the app screens: the conversation, the ticket, its status and the actions that move it forward.
Visible status. Work that moves.
Tickets are organized in columns by status. Your team can see what is new, in progress or resolved.
Your help desk, in one queue.
Review each ticket with its requester, contact, status, priority, owner and deadline. Start a case using New ticket.
Context starts in the conversation.
From the initial report to photo evidence and ticket confirmation. Keep messages and attachments in the history so your team can continue with the full context.
One record to understand and resolve.
Subject, priority, owner and case history together in the support tickets module.
The next step gets a follow-up.
Schedule reminders for the owner, review executions and keep support moving until the case is complete.
Your agent is part of the entire journey.
Your agent talks, records and updates using the tools and permissions you configure for your operation.
Your operation, in indicators.
Volume, service times, SLA, satisfaction, autonomous resolutions and team workload. The dashboard uses native components and illustrative figures for a 30-day period.
Actual product screens. Sample data. The captured product interface is in Spanish.
Give every inquiry
a path to resolution.
Connect your channels, define owners and organize support with tickets, boards and an agent that follows the process.
Configure the channels, permissions and support rules for your business.