Customer support
Answer recurring requests, collect context and route only the cases that need a person.
- Technical support
- Order and service status
- Priority routing
Call → support record → team
Explore this use case
For customer service and operations teams
Natural phone conversations. Real business actions.
Qfix answers inbound and outbound calls, understands each customer in context, then updates CRM and support records, creates tasks, schedules the next step, or hands off with the full conversation when a person is needed.
- Conversation
- Natural turn-taking
- Action
- CRM, tickets and tasks
- Handoff
- Full conversation context
- Record
- Transcript and outcome
One connected flow
See how one call moves from answer to resolution.
The conversation, business context and operational follow-up stay in one controlled flow. Review how Qfix understands the request and turns it into the next operational step.
Illustrative product scenario using example data; this is not a customer call recording.
Incoming service call
Service appointment follow-up
Conversation
Customer
I need an update on today’s service appointment.
Qfix
I found the open request. I’ll check the status and notify the service team.
Understood context
- Intent
- Service support
- Priority
- Today
- Owner
- Field team
Operational result
Customer record matched
Support record updated
Follow-up assigned
Current step
Connected to the customer
Qfix answers according to the operating rules configured for this call flow.
Start with the work that matters
One platform, three clear starting points.
Choose a high-volume call flow, prove the outcome and expand from there.
Sales and qualification
Reach leads, understand intent and prepare the next action for the sales team.
- Lead qualification
- Outbound campaigns
- CRM follow-up
Call → qualification → CRM
Explore this use caseAppointments and follow-up
Book, confirm and follow up without leaving the operational loop open.
- Appointment booking
- Payment reminders
- Satisfaction calls
Call → action → confirmation
Explore this use caseLifecycle automation
From incoming call to resolved work.
Qfix can answer the call, create the work record, notify the right team, and keep the customer follow-up connected to the same workflow.
Resolving
The full workflow runs from call to resolution. Automatically.
Relevant team notified with the full call context
Support ticket
#QF-2481 Service appointment
- Intent
- Support
- Priority
- High
- Owner
- Field team
Automated execution
Example state- Urgent case transferred to a human representative
- Relevant team notified with the full call context
- Customer callback scheduled after service completion
Ticket journey
- Voice layer
- Operations layer
- Resolution layer
Technical capabilities
Built for real call operations, not scripted demos.
Working hours, customer context, call records, integrations, follow-up channels, and agent behavior remain configurable before and after launch.
Operating principle
Every call enters as a conversation and leaves as a tracked business outcome.
Use working-hour rules, CRM data, ticket fields, customer history, and custom terms inside the conversation.
Voice flowsRun inbound and outbound calls with natural turn-taking, context memory, routing, and multi-language support.Context layerUse working-hour rules, CRM data, ticket fields, customer history, and custom terms inside the conversation.Conversation intelligenceTurn every call into a record your team can inspect, search, measure, and act on.Operations controlConnect Qfix to your stack, open or update work items, notify teams, and configure each agent for the business process.
Qfix turns the call into work
Voice flows
Run inbound and outbound calls with natural turn-taking, context memory, routing, and multi-language support.
- 1Smart voice agents
- 2Inbound and outbound flows
- 3High concurrent call volume
- 4Multi-language calls
Qfix turns the call into work
Context layer
Use working-hour rules, CRM data, ticket fields, customer history, and custom terms inside the conversation.
- 1Working hours and callback timing
- 2CRM, form, queue, and ticket data
- 3Custom vocabulary for brands and products
Qfix turns the call into work
Conversation intelligence
Turn every call into a record your team can inspect, search, measure, and act on.
- 1Call recording and transcript
- 2Summary, topic, result, and tone
- 3Custom analysis fields and red flags
Qfix turns the call into work
Operations control
Connect Qfix to your stack, open or update work items, notify teams, and configure each agent for the business process.
- 1Ticket and task automation
- 2WhatsApp and multi-channel follow-up
- 3Two-way integrations and webhooks
- 4Configurable scenarios, voices, and rules
Execution timelineCall outcome
- Answer the configured flow
- Understand the request
- Take action
- Follow through
- Turn it into data
Human control
AI does the work. Your team keeps control.
Qfix follows the rules of your operation and transfers the cases that require judgement, empathy or authority with the full conversation context attached.
Transferred to operations
Conversation context arrives with the handoff.
Intent, urgency, transcript and completed actions arrive together.
Business-hour rules
Control when to answer, call back or route.
Human handoff
Define exactly when a person should take over.
Critical alerts
Surface urgent or sensitive conversations immediately.
Records and reporting
Keep the conversation and outcome inspectable.
Works with your operation
Work with the systems you already use.
Qfix becomes the voice and action layer between your phone lines, customer records, support tools and internal workflows.
Customer systems
- CRM
- Support records
- Forms
Communication
- Phone infrastructure
Operations
- Tasks
- Notifications
- API and webhooks
Operational readiness
Control the data flow before going live.
Permissions, retention, routing and escalation rules are mapped with the selected pilot workflow before launch.
Permissions
Limit access by role and workflow.
Data flow
Define what is read, written and retained.
Call records
Set recording and transcript policies.
Escalation
Keep a clear route to the responsible team.
Inside the product
Call outcomes stay visible to your operation.
Inspect the conversation, extracted signals, operational workload, call records, and sentiment from one controlled workspace.
Illustrative interface data
Understand the entire conversation
Operational metrics, an AI-generated report, and the full transcript stay connected to the same example call.
Illustrative product data
Operational metrics
7.8/ 10
Satisfaction
Positive24%
Churn risk
Safe rangeAI analysis report
The customer called about overdue invoices. The assistant identified the account, explained the balance, captured the request for an email summary, and scheduled a clear follow-up action.
Sentiment flow
NeutralAnxiousPositive
Conversation transcript
Example state
Search this conversation...
Customer08:18:49
I am not sure about the balance. Could you send the details by email?
AI agent08:18:50
Of course. I recorded your request and will send the invoice summary to your current email address.
Customer08:19:09
That works. I will review it and get back to you.
Turn speech into operational signals
Topics, key phrases, entities, intent, and detected actions become structured inputs for the workflow.
Intent signals
- Qfix signal extraction and intent radar showing topics, entities, and detected actions
Review active call flows
Queue state, completed calls, and exceptions can remain visible in one operational view.
Operations overview
- Illustrative Qfix operations dashboard showing active, completed, and unsuccessful calls
Keep a searchable operational record
Review call direction, status, company, assistant, and detail from a single call ledger.
Call records
- Qfix call records table with call status, assistant, phone number, and detail actions
See customer signals in context
Sentiment, priority, satisfaction, and the main topic appear alongside each conversation record.
Sentiment intelligence
- Qfix sentiment intelligence table showing priority, satisfaction, emotion, and conversation topic
Conversation intelligence
Every call becomes structured business data.
You do not just know that a call happened. You know what it means and what needs to happen next.
Conversation stream
Analyzing in real time
Illustrative product data
Sentiment intelligence
AI core onlineSearch customer or topic...
All time
All sentiments
All priorities
All sources
Asteron Labs
+90 5XX XXX XX 87
IncomingAI agentAnxious
- Priority
- High
- Satisfaction
- 42%
- Main topic
- Urgent issue with the POS device
Veluna Hotels
+90 5XX XXX XX 40
OutgoingVoice analysisPositive
- Priority
- Low
- Satisfaction
- 88%
- Main topic
- Technical support request
Nexora Retail
+90 5XX XXX XX 34
IncomingAI agentNeutral
- Priority
- Medium
- Satisfaction
- 67%
- Main topic
- Portal Plus assistant request
- 01
Customer intent
Extracted from speech
- 02
Sentiment
Available for workflow routing
- 03
Urgency level
Extracted from speech
- 04
Required action
Available for workflow routing
- 05
Transfer reason
Extracted from speech
- 06
Resolution status
Available for workflow routing
The operational pressure
Customer operations were not built for today's call volume.
Fragmented call handling creates high cost, low visibility, and follow-ups that are easy to miss.
Qfix replaces fragmented call handling with one controlled operations layer.
Where work gets stuck
- CRM notes stay incomplete.
- Support quality changes by person.
- Managers see issues too late.
Qfix operations layer
Live call pressure
Qfix replaces fragmented call handling with one controlled operations layer.
Illustrative interface data
Call volume
142/min
Teams are overloaded.
Wait time
Rising
Customers wait too long.
Follow-ups
At risk
Manual follow-ups get missed.
Inspectable by design
Evaluate the workflow, controls, and output—not a logo wall.
- 01Call objective
- 02System action
- 03Handoff rule
- 04Quality review
Workflow evidence
Start with one defined call flow.
Scope the call objective, required business-system action, handoff rule, and acceptance criteria before launch.
Defined scopeAcceptance criteriaPilot review
Operational evidence
Review what happened after every call.
Example product views expose the transcript, classification, action, and handoff context so evaluation can focus on observable output.
Call recordWorkflow outputHuman handoff
Visual product overview
See the operating model at a glance.
A short visual overview of how a call can become a structured workflow your team can inspect, route, and follow through.
- AI voice call
- Workflow execution
- Call intelligence
Video description
This visual overview represents an AI voice call entering Qfix, the conversation becoming structured call intelligence, and an operational workflow being created for the team. It is not a customer call recording. Instrumental music plays; there is no spoken dialogue.
Before the pilot
The questions teams ask before going live.
Does Qfix replace our phone or CRM system?
No. Qfix is designed to work with your existing phone, customer and support systems. The pilot maps the required read and write actions before integration.
Can a call be transferred to a person?
Yes. Handoff rules can use intent, urgency, customer request or your own business conditions. The receiving team gets the available conversation context.
How do we start?
We start with one measurable call flow, define the systems and rules it needs, launch a controlled pilot and review the outcome before expanding.
How does Qfix connect to our phone infrastructure?
The pilot maps the existing number, provider and routing rules first. The connection approach is then selected for that infrastructure and workflow.
Which languages and voices are available?
Language and voice options are selected for the workflow and audience. Pronunciation, terminology and call quality are verified during the pilot before launch.
How are security requirements handled?
Access, data flow, recording, retention and escalation requirements are reviewed for the selected workflow before launch. Contractual and regulatory requirements are documented during the pilot.
Pilot
Start with one call flow.
No heavy transformation project. Just one clear workflow, live with Qfix.
- 1
Map
- 2
Connect
- 3
Launch
- 4
Measure
- 5
Scale
Operations
Your voice operations layer is ready for every call.
No heavy transformation project. Just one clear workflow, live with Qfix.
A controlled start
Start with one call flow.
Tell us which call is creating the most operational load. We will map the flow, identify the required systems and define a measurable pilot scope.
- 01
Map
Choose the call, owner and expected outcome.
- 02
Connect
Define context, integrations and handoff rules.
- 03
Measure
Launch a controlled pilot and review the result.
The Qfix team will respond with the next step for the selected workflow.