Voice elicitation builder

Create adaptive voice interviews. Get qualified data at scale.

Crea agenti vocali AI configurabili che chiamano, ascoltano, fanno follow-up mirati e trasformano ogni conversazione in dati lead strutturati, citazioni fonte e prossime azioni.

Adaptive interview workflow

Scenario

Lead qualification

Ask purpose, urgency, budget, friction, and concerns.
1 Open with context
2 Use KB + tools
3 Trigger follow-up

Live call

"Would you rather be called now, in 30 minutes, or at a specific time?"

Channel Local PSTN + browser
Automation Retry + WhatsApp

For teams that need more than static forms

Forms collect answers. Interviews collect context.

01 Ask

Static forms stop where context starts.

Everyone gets the same field list, even when the next question is obvious from the last answer.

02 Scale

Manual qualification is expensive to repeat.

External consultants and call-center teams collect rich context, but every extra call adds coordination, cost, and inconsistent notes.

03 Act

A transcript alone is not an operating system.

Teams need lead cards, scores, missing fields, supporting quotes, and automatic next steps, not another call log.

What adaptive means

Not a form read out loud. A conversation that changes as people answer.

Static forms and scripted call centers ask the same questions in the same order, even when the answer already changed the direction of the conversation. Adaptive voice interviews listen to the flow, adjust the path, and make the experience feel closer to a natural human conversation.

Static script

Answer these questions.

Fixed order. Repeated fields. Little sensitivity to urgency, tone, context, or what the person has already explained.

Adaptive interview

Tell me what is going on.

  • Skips questions that are already answered or no longer relevant.
  • Rephrases the next question in language that matches the respondent.
  • Changes pace when someone is busy, confused, careful, or ready to go deeper.
  • Follows the why when the important signal is hidden behind the first answer.

How it works

Build Call Analyze Act

Elicitra is built around elicitation: interview design, adaptive follow-up policy, always-on call agents, transcript mining, scoring, missing fields, supporting quotes, and automated actions after the call.

Build

Create adaptive interview workflows from a template, a brief, or an existing form.

  • One-click import from Typeform, Google Forms, and intake docs
  • Interview goals, follow-up policy, extraction fields
  • Scoring rules, output schemas, and report formats
  • Scenario logic that stays configurable without code changes
Call

Run voice-led interviews over the channel that fits the respondent.

  • Dedicated local phone numbers for traditional outbound calls
  • Instant browser or mobile web voice conversations
  • Immediate, delayed, scheduled, and auto-retry call flows
  • Knowledge-base and MCP tools available during the call
Analyze

Turn raw conversations into inspectable data and next actions.

  • Structured extraction, summaries, and source quotes
  • Completeness and intent scoring with missing fields
  • Email, WhatsApp, reminder, and owner-handoff actions
  • Dashboard analysis and custom transcript mining

Automation after the transcript

The call becomes a configurable workflow, not a dead recording.

A completed Elicitra call can produce structured data, suggest the next best action, and execute configured follow-ups while the conversation context is still fresh.

Scale beyond human calling capacity

Run high-volume intake without hiring a team for every repetitive qualification call. Capacity can grow with configured telephony and provider limits.

Use trusted call channels

Reach respondents through dedicated local numbers in their country, or open an instant browser voice session when a web call is better.

Automate the next step

Send the user an email or WhatsApp message, remind them later, notify an owner, or route the lead once the call has been analyzed.

Adapt during the interview

Agents can use knowledge bases, MCP tools, and workflow rules in real time, so interviews can react to answers instead of reading a static script.

Use cases

One builder for many high-context intake moments.

Start with a narrow workflow, then reuse the pattern anywhere a buyer, advisor, or operations team needs richer context before a human takes over.

View all use cases

Templates

Start narrow. Reuse the workflow pattern.

Start from a proven workflow pattern, then adapt the same builder to any moment where a team needs structured context before a human takes over.

From manual intake to intelligent workflows

Every call should leave more than a note.

Elicitra replaces repetitive qualification calls with voice agents that collect context, preserve the transcript, and produce structured data your team can search, score, route, and act on.

Scale thousands of configured call attempts when provider capacity allows
24/7 intake, scheduling, retries, and follow-up logic without waiting for a team member
100% of completed conversations can leave a transcript and analyzed record behind

Usage-based pricing

Free to build. Pay for analyzed results.

No platform fee. No seats. No setup tax. Create scenarios, test workflows, and configure interviews for free. Billing starts only when a conversation turns into a usable outcome: analyzed outputs, recommended next steps, and follow-up actions ready for your team.

Usage $20

per 1,000 analyzed results

An analyzed result includes transcript analysis, extraction, scoring, summaries, missing fields, supporting quotes, and custom data-mining logic.

Start now

Build the interview once. Let voice agents run it at scale.

Launch a workflow, let Elicitra call and follow up, then get a dashboard of analyzed transcripts, qualified data, and next actions.

Create your first workflow