Platform
Voice. Intelligence. Action.
Voice agents, structured data and connected systems — from first ring to updated record.
A — Voice engine
Natural conversations, inbound and outbound.
Natural, context-aware voice agents, configured for each workflow and language.
- Natural speech interactions
- Configurable voice experiences
- Conversational pacing
- Inbound and outbound calling
- Multilingual configurations
- Context-aware conversations
STRUCTURED OUTPUT
- Availability
- Available
- Employment preference
- Full-time
- Start date
- Next week
- Screening status
- In progress
B — Conversation intelligence
Structured flows that still handle the unexpected.
Structured conversations that adapt, ask follow-ups and apply qualification logic.
- Dynamic questioning
- Structured conversation flows
- Context retention
- Response interpretation
- Conditional questioning
- Qualification logic
- Handling unexpected responses
// Conditional flow — illustrative
C — Structured data extraction
Every conversation becomes a usable record.
Spoken answers become actionable records.
- Candidate profiles
- Qualification results
- Screening scorecards
- Call outcomes
- Appointment details
- CRM records
- Follow-up actions
Screening scorecard
Sarah M.
- Position
- Warehouse Operative
- Location
- Within 15 km of site
- Availability
- Full-time, from next week
- Relevant experience
- 3 years, forklift licence
- Work preferences
- Day shifts
- Screening outcome
- Qualified · Interview
- Availability matches
- Experience requirement
- Location within range
- Licence verified by recruiter
Recruiter notes
Confirm licence at interview. Prefers early shifts.
D — Workflow orchestration
Calls triggered, sequenced and routed automatically.
Events trigger calls. Outcomes trigger bookings, updates or handoffs.
- Automated call triggers
- Call scheduling
- Multi-attempt follow-up sequences
- Conditional workflow branches
- System updates
- Notifications
- Human escalation
Applicant enters ATS
New application event
Workflow triggers call
Outbound within minutes
AI screening call
Structured questions
Structured result
Scorecard back to ATS
E — Analytics and reporting
Visibility into every call and outcome.
Activity, completion, outcomes, transcripts and recordings in one view, so workflows can be measured and refined.
- Call activity
- Conversation completion
- Call outcomes
- Transcripts
- Recordings
- Qualification results
- Performance trends
Voice activity overview
Sample data — not customer resultsTotal calls
1,248
Completed conversations
1,106
Qualified interactions
412
Booked interviews
186
Call outcomes
- Qualified37%
- Not suitable28%
- Callback requested21%
- No answer14%
F — Integrations
Connected to the systems teams already use.
Voice workflows were connected to business systems through APIs and configured workflows. Historical integration examples include:
Historical integration examples; not partner endorsements or claims of current availability.
G — Human-in-the-loop
AI for the repeatable conversations. People for the judgment calls.
iDial was designed to handle structured, repetitive conversations — first contact, screening questions, availability checks, confirmations — while leaving decisions that require judgment to human teams.
Escalation paths, recruiter handoffs and full transcripts keep people informed and in control.
Architecture
How the layers connect.
Input
- Inbound calls
- Outbound campaigns
- CRM and ATS events
- Business triggers
Conversational layer
- Speech recognition
- Conversational intelligence
- Context management
- Dynamic questioning
- Voice generation
Processing
- Qualification logic
- Information extraction
- Workflow decisions
- Structured outputs
Output
- CRM/ATS updates
- Interview bookings
- Follow-up notifications
- Call recordings
- Transcripts
- Performance reporting
iDial is the product and workflow layer. Underlying speech, telephony and language models are third-party infrastructure.
See where the platform was applied.
Explore the solutions and documented deployments built on this conversational layer.