Human-centered design systems and product experiences
Core services
01UI/UX Design02Web Development03Software Development042D/3D Experiences05App Development06AI Agents & Automation07Website DesignTechnical services
Frontend Engineering
React DevelopmentNext.js DevelopmentWeb ApplicationsEnterprise DashboardsSaaS PlatformsBackend & Infrastructure
API DevelopmentCloud InfrastructureDevOps & CI/CDBackend SystemsCustom SoftwareIndustries we serve
Technology & Software
Outbound Callback AI Agent Development
Promised calls, made on time
An agent that makes the calls your team promised and did not get to.
An agent that makes the calls your team promised and did not get to. It rings people who asked for a callback or agreed to a reminder, confirms or moves the appointment, records the outcome and passes the conversation to a person when the call needs one.
"We will call you back" is the easiest promise to break. The request is written on a note, the afternoon fills up, and the customer books elsewhere. Reminder calls are worse: nobody has time for them, so the empty slot is discovered when the patient does not arrive. An agent can make these calls, but only if it is strict about who it may ring, when, and what it is allowed to say.
This page describes a workflow we propose to build as a custom project. It does not exist as software yet. It would reuse the call logic, the booking rules and the handover that run in our voice receptionist demonstration, which works on call transcripts. Outbound calling, and the consent and calling-hour rules around it, are not built.
What Goes Wrong Without It
Callbacks that never happen
The request sits in a notebook until the customer has solved the problem elsewhere.
No-shows discovered too late
Nobody confirmed the appointment, and the slot stays empty.
Calling people who never asked
A list is loaded and everyone on it is rung, whether or not they agreed.
Calls at the wrong hour
A reminder arrives at a time your rules, or the law where the person lives, do not allow.
Voicemail handled badly
A message with personal details is left on a shared answering machine.
Outcomes that vanish
The call was made, and nothing in the calendar or the CRM says what was agreed.
One Case, Start to Finish
An example of one case, in 6 steps. The same steps play in the picture at the top of this page.
Callback requested
A caller who could not get through asks to be called back, and names a time that suits.
Permission checked
The request is the consent for this call. A do-not-call mark would stop it here.
Call placed
The agent rings at the agreed time, says who is calling and that it is an automated assistant.
Right person confirmed
It asks for the detail you chose before it mentions an appointment or an account.
Request handled
The appointment is confirmed or moved against your real calendar, and the change is read back.
Outcome recorded
The result, the retries and any handover are written to the CRM for your team.
What We Need to Scope This
- The process as it runs today, in a few lines.
- The systems it touches, for example telephony, calendar, CRM, consent.
- Rough monthly volume, and who approves what.
Six jobs it carries through
Callback queue
Works through callbacks that people requested.
- Takes requests from calls, forms and messages
- Calls inside the hours you set
- Retries a fixed number of times
- Stops when the person declines
Appointment confirmation
Confirms, moves or cancels an appointment by phone.
- States the date, time and place
- Offers real alternatives from the calendar
- Applies your cancellation rules
- Updates the booking once
Consent and preference check
Checks permission before every call.
- Reads the consent record for this purpose
- Honours do-not-call marks
- Records a refusal made during the call
- Never calls from a bought list
Identity before details
Makes sure it is speaking to the right person.
- Asks for the detail you choose
- Shares nothing personal before that
- Leaves only a neutral voicemail
- Ends politely on a wrong number
Follow-up after a visit
Makes the follow-up call your process expects.
- Asks the questions you define
- Records the answers in the person's words
- Flags anything that sounds like a complaint
- Offers a person at any point
Transfer with context
Passes a live call to your team.
- When the person asks
- When the request is outside its scope
- When a system cannot be reached
- With a summary of the call so far
It Calls Only the People Who Asked
This is a callback agent, not a dialler. It rings people who requested a call or agreed to a specific reminder, inside the hours and retry limits you set, and it says at the start that it is an automated assistant. Cold calling and campaign dialling are not part of it.
Rules on automated calls differ by country and are your business's to settle. The agent enforces the rules you give it and keeps the record that shows it did.
- Consent checked before every call
- Calling hours and retry limits
- Says it is an automated assistant
- Identity before personal details
- Neutral voicemail only
- A person reachable on every call
What It Reads and Writes
The systems named here are the kind this agent works with. Which ones it connects to in your case is settled in the scope.
Telephony
- A voice provider and your business numbers, chosen and tested for your languages
Calendar
- Your booking or scheduling system
CRM
- Contact records
- callback requests
- call outcomes
Consent
- Consent and do-not-call records
- contact preferences
Calling rules
- Permitted hours
- retry limits
- scripts you approve
Handover
- Your team's phone queue or ticketing system
What Buyers Ask First
No. It is designed for calls a person asked for or agreed to: a callback, an appointment reminder, a follow-up after a visit. Campaign dialling raises legal and reputational questions this agent is deliberately not built for.
The receptionist answers calls that come in. This agent places calls, which adds three things the receptionist does not need: a consent check before dialling, rules about when and how often it may ring, and care about who actually picked up.
A voice provider tested in your languages, your calendar and CRM, a clear record of who agreed to be called and for what, and the calling rules that apply where your customers live. We would evaluate speech quality on real samples before anyone is rung.
Not as software yet. This page describes a proposed workflow. It would reuse the call logic, the booking rules and the handover that run in our voice receptionist demonstration, which works on call transcripts. Outbound calling, and the consent and calling-hour rules around it, are not built. A project starts by mapping your process, then proving the first steps on test data before anything touches a live system.
Start With the Calls You Already Owe
Count last month's callback requests and how many were returned the same day. That gap is the first workflow to map.