Learn Mampu AI step by step
A complete walkthrough, from opening an account to reading the reports. Follow it in order and you will have a published AI agent answering on WhatsApp by the end.
37 min in total · Free, no sign-up to watch
Get set up
Open an account, decide what your agent is for, and connect the first channel.
Platform tour, home dashboard and support
Create an account, pick your industry and channels, then walk the left navigation: Conversations, Flow Agents, Contacts, Reports, Blasting, Help Center and Settings. Ends on where to search and where the guides live.
- Create a workspace and finish first-run setup
- Find your way around the main navigation
- Search conversations and contacts
Plan your setup: objectives, channels and use case
The planning step before you build anything. Works through a customer journey, choosing one channel to start with, picking a single use case, then writing an objective that names the audience, purpose, outcome and the details to collect.
- Write an objective your agent can be measured against
- Choose which channel and use case to start with
- Decide when a conversation should go to a human
Connect your first channel and inbox
Settings, Inboxes, Add inbox. Names the inbox, connects a WhatsApp Business number by QR code, sets who has access, then sends a test message to confirm it lands in Conversations.
- Connect a WhatsApp Business number
- Control who can see an inbox
- Confirm the connection with a test message
Build the agent
Draft a flow with AI, teach it your business, then test and publish it.
Create your first AI agent and conversation flow
Describes the journey in plain words and lets the AI builder draft the flow, then walks the block types: send message, condition, collect, and end or handoff. Edits the welcome message, checks the service-routing branches, and tests the result in the playground.
- Draft a flow from a description instead of building it block by block
- Read and edit send, condition, collect and handoff blocks
- Route by what the customer asked for, and hand off on request
AI Knowledge: add, manage and improve answers
Connects an OpenAI key, then fills the knowledge hub: FAQs, products, promotions, scheduling, tone and topics to avoid. Shows why "price / depends" teaches the agent nothing and rewrites it properly, imports an existing document, and tests retrieval with a question worded differently from the FAQ.
- Write a knowledge entry the agent can actually use
- Import FAQs you already have, and review what lands in pending
- Set tone, and tell the agent what not to answer
Test, connect and publish your agent
The longest guide in the series. Runs the agent in the playground against real questions, connects it to an inbox, then publishes, choosing between Public and Testers only with a list of test numbers so you can trial it on your own phone first.
- Test a finished flow before anyone sees it
- Attach an agent to a live inbox
- Publish to testers only, then to everyone
Run the inbox
Handle, organise and keep track of the people who message you.
Conversations: replies, private notes and folders
Takes one conversation from first message to resolved. Covers the folders (all, mentions, participating, unattended, mine, unassigned), replying versus private notes your customer never sees, canned responses, and resolve, reopen and snooze.
- Tell replies apart from internal notes
- Use canned responses instead of retyping
- Resolve, snooze and reopen a conversation
Organise conversations: assignment, labels and priority
The actions panel: assign an agent and a team so there is a clear owner, set priority by how fast it needs attention, and label what the conversation is about.
- Give every conversation an owner and a team
- Set priority and labels
Contacts: create, import, search and segment
Adds a contact by hand, then internal notes and custom attributes for the things your business tracks. Imports a CSV, searches by name, filters by field, and saves the filter so the team can return to the same group without rebuilding it.
- Store what matters with custom attributes
- Import an existing database from CSV
- Save a filter as a reusable segment
Reach out and book
Send campaigns, set up multi-step follow-ups, and take appointments.
Blasting and message sequences
Builds the audience with a label first, then a campaign with media, a live audience count, a schedule and batch settings. Then the difference that matters: a blast is one message to many, a sequence is several follow-ups over time, with delays and conditions on each step.
- Build a campaign audience from labels
- Schedule a blast and send it in batches
- Choose between a blast and a multi-step sequence
Channel blasting: WhatsApp and live chat
The same campaign on two channels. WhatsApp Business: message, inbox, audience label, schedule, batch and delay. Website live chat: sender, the URL it applies to, and a time-on-page condition before it shows.
- Schedule a WhatsApp Business campaign
- Trigger a live chat message by page and time on page
Calendar booking and scheduling
Sets up a calendar: members, business hours, appointment length, then the settings that decide what customers can actually book, slot interval, buffer, minimum notice and booking horizon. Tests the public booking link as a customer, then verifies the appointment and blocks out lunch.
- Set business hours, buffers and minimum notice
- Share a booking link and test it as a customer
- Verify, cancel and block out time
Measure and improve
Read the reports, and turn what they say into a change.
Reports: conversations, agents, teams, CSAT and SLA
The manager's guide. Live overview of open, unattended, unassigned and pending, then historical volume, first response and resolution times, comparisons by agent, inbox, team and label, and what CSAT and SLA figures are telling you. Closes on a worked example: unattended peaks between noon and 2pm, so move coverage and check again next week.
- Read first response and resolution time properly
- Compare agents, inboxes, teams and labels
- Turn a CSAT or SLA number into a staffing decision
AI agent reports and exports
Bot performance over a date range, flow submissions for completed conversations, choosing which fields the submission table shows, and downloading the data for analysis outside the platform.
- Review AI agent activity over any period
- Inspect flow submissions and pick the columns
- Export report data
