A task, not an open-ended promise
Start with a specific job, such as finding an order status or preparing an appointment request. Define what completion means.
01
WhatsApp AI Agents
From a customer request to a verified next step.
Some conversations need more than an answer. They need the right information, a connected tool, and permission to act.
Explore AI agents designed around specific customer tasks—with a clear role for your team when judgment or approval is needed.
Velflw · Agent task
Illustrative task sequence
“Can I arrange a consultation next week?”
01 · Understand
Clarify the request and preferred timing.
02 · Check
Consult a supported calendar connection.
03 · Confirm
Ask the customer to approve the selected slot.
04 · Verify
Report success only after the booking is accepted.
Example only. No calendar or WhatsApp account is connected.
Define the job. Then give it the tools.
Useful autonomy starts with a clear boundary.
An agent should know the outcome it is working toward, the systems it may use, and the point where a person takes over.
Actions backed by real results
A confident reply is not a completed task. Use reliable system responses to distinguish an attempt from a successful outcome.
02People remain accountable
Keep approvals, exceptions, and sensitive decisions on a deliberate human path. Make ownership part of the design.
03
Explore the task, not just the reply
What happens after “Can you help me?”
Choose an example to see the context, connection, approval, and confirmation a task could require.
Scripted browser-only simulation. Actual capabilities depend on supported integrations and configuration; these examples are not a live Velflw feature demonstration.
Task explorer
Can I arrange a consultation next week?
01 · Context
Collect the preferred date and consultation type.
02 · Connection
Check availability through a supported calendar connection.
03 · Approval
Ask the customer to confirm the selected time before creating a booking.
04 · Verified outcome
Report a booking as confirmed only after the calendar returns success.
Three foundations
Knowledge. Tools. Rules.
Design all three together before handing an agent a customer-facing task.
01
Knowledge gives the task context.
Use reviewed business information to explain options and identify the right next step. Keep changing facts separate from static guidance.
- Define approved reference material
- Identify information that needs a live lookup
- Set a clear response for missing answers
02
Tools make an action possible.
A useful plan needs a reliable connection to the system where the work happens. Scope access to the task, not the entire business.
- Check supported connections
- Limit read and write permissions
- Validate inputs and returned results
03
Rules keep responsibility clear.
A customer request is not blanket permission. Define what the agent may do, what it must confirm, and when it should stop.
- Separate suggestions from actions
- Require approval where appropriate
- Route exceptions to an accountable person
Choose the right kind of help
An answer, a workflow, or an action?
The labels can overlap. What matters is the job, the access, and the responsibility you assign.
| Approach | Primary role | What to define |
|---|---|---|
| AI chatbot | Answer and clarify customer questions. | Knowledge sources, response boundaries, and handoff. |
| Automation workflow | Follow predefined events, conditions, and steps. | Triggers, branches, timing, and exit conditions. |
| AI agent | Select permitted steps toward a defined task, potentially using tools. | Tool access, approval requirements, and verified completion. |
Start narrow. Test the exceptions.
Give your first agent one clear job.
Specify the outcome
Choose a task with an observable result and clear limits.
Map the dependencies
Identify the information, connections, and permissions the task needs.
Define review points
Decide what needs confirmation, what can proceed, and what must stop.
Test the unhappy paths
Try missing data, denied access, failed tools, and changed customer requests.
Authority should be explicit
Let the task set the limits.
Greater access is not automatically better. Use the least access needed and require review when the consequences justify it.
- Read: retrieve only the information the task requires.
- Prepare: draft a change without claiming it has been made.
- Confirm: ask for approval before an action that requires it.
- Act: use only authorized tools and validate the result.
- Escalate: explain uncertainty instead of guessing success.
AI Agents FAQs
Before an agent acts.
Understand the task, the dependencies, and the limits.
01What is a WhatsApp AI agent?
An AI agent combines conversation with a defined task and access to permitted tools. Depending on its configuration, it can gather information, consult connected systems, and take authorized steps toward an outcome.
02How does an agent differ from an AI chatbot?
The terms can overlap. On these pages, a chatbot focuses on answering and clarifying questions, while an agent adds task execution through connected tools. A generated reply alone is not proof that an action happened.
03Can an agent act without human approval?
Only within the authority deliberately granted to it. Define which actions are read-only, which can run automatically, and which require customer confirmation or team review.
04What systems can an agent connect to?
Connections depend on the platform’s supported integrations, APIs, authentication, and permissions. Confirm compatibility with your actual systems before promising live lookups or record updates.
05What happens if a connected tool fails?
A well-designed task should stop or follow an explicit recovery path. It should not invent a successful result. Define how failures are reported, when retries are appropriate, and who takes over.
06Can an agent handle every customer request?
No. Ambiguous requests, missing information, sensitive decisions, and out-of-scope tasks need clarification or human assistance. Start with a narrow task and test the exceptions.
07How should success be measured?
Evaluate confirmed task outcomes, incorrect actions, escalation quality, and unresolved cases—not just the number of replies. Review results before expanding an agent’s authority.
08Is this page connected to a live AI agent?
No. The task explorer is a scripted browser-only simulation. It does not use an AI model, access business systems, save data, or send WhatsApp messages.
Build a useful task. Not unlimited autonomy.
Start with one request your team knows well.
Define the outcome, connect only what is needed, and make every action accountable.
