AI voice agents built for structured business conversations.
Zrafted builds AI caller agents for repeatable inbound and outbound conversations where speed, consistency and accurate information capture matter. Every implementation defines what the agent may say, what it may do and when a person must take over.
The operational signs that it is time to act.
Start with the constraint you can see. Zrafted will help determine whether the solution requires process, technology, capacity—or a combination.
Calls go unanswered
Important enquiries arrive during peaks, after hours or when employees are already handling other work.
Follow-up is inconsistent
Leads, confirmations and reminders depend on people finding time for repetitive call lists.
Call notes lack structure
Information is captured differently by each person, making CRM records and reporting unreliable.
Simple calls consume specialists
Experienced team members spend time on routine questions that follow a known script and decision tree.
What Zrafted can deliver.
Use a focused capability for a defined need or combine related work into one coordinated engagement.
Inbound enquiry handling
Answer defined questions, collect caller information and route conversations based on intent and urgency.
Outbound lead follow-up
Contact approved lists, ask qualification questions, record outcomes and trigger the appropriate next action.
Appointments and reminders
Confirm bookings, issue reminders, collect simple updates and identify calls that need staff attention.
Structured intake and surveys
Gather consistent responses for service requests, customer feedback and operational follow-up.
Need help defining the scope?
Share the current environment, process, volume or performance gap. We will help frame the requirement before recommending an implementation.
Tangible outputs—not a vague activity list.
Exact deliverables are confirmed in scope. These are the practical outputs normally required to move from assessment to dependable operation.
A delivery sequence built for this service.
Each stage resolves a different decision and creates the evidence needed to advance safely.
We document the call objective, audience, required disclosures, questions, acceptable responses and actions outside scope.
We create the decision path, information capture, retry behaviour, transfer criteria and post-call workflow.
We connect telephony and business systems, then test accents, interruptions, silence, ambiguity, refusal and edge cases.
We start with an agreed volume or call type, review recordings and outcomes, and refine rules before expanding use.
Designed to work with your operating stack.
Platform names identify ecosystems our teams work with. They do not imply endorsement or certification unless explicitly stated.
Trusted across different industries and operating models.
Useful answers before you start.
Scope, responsibilities, timing and commercial terms are confirmed for each engagement.
Can the agent transfer a call to a person?+
Yes. Transfers can be triggered by caller request, defined intent, uncertainty, urgency or another rule agreed during design.
Can it make outbound calls?+
Yes, for approved business use cases and contact lists. The organization remains responsible for applicable consent, telemarketing and recording requirements.
Does the caller know they are speaking with AI?+
Disclosure requirements are defined during implementation based on the use case and applicable obligations. We recommend clear, non-deceptive communication.
Can it update our CRM after every call?+
Often, yes. The agent can save structured fields, summaries and outcomes when the CRM supports an appropriate integration.
What languages can it support?+
Language suitability depends on the voice platform, audience and required accuracy. We validate representative calls before recommending production use.
What needs to work better?
Share the business problem, current environment and desired outcome. Zrafted will help identify a practical next step.
Discuss this service →