Voices
Select pace, warmth, firmness and energy for the job—not a generic demo sentence.
Hear samples ↗AdaptiveX Platform
The operating system for agent behaviour.
One connected system to configure how an agent should behave, prove it against difficult callers, run it with traceable decisions and learn from every call.
AdaptiveX Behavioural OSAgent operating canvas
System cycling01 / Configure
Set the specialist, knowledge, tools and behavioural boundaries.
Specialist loadedrecoverer.v12
ObjectiveAgree a workable payment path
VoiceFirm · fair · calm
May useLegitimacy · compliant options
Must not useOut-of-policy concessions
Priority rule
Vulnerability and hardship signals always override commercial progress.
One operating loop
Configure. Prove. Run. Learn.
The lifecycle is the product. Behaviour is specified before launch, exercised under pressure, enforced during the conversation and evaluated after hangup. Production evidence becomes the next regression test.
01Explore ↗02Explore ↗03Explore ↗04Explore ↗05Explore ↗
Behavioural Engine
A versioned policy system that determines what the agent should do next—and what it must not do.
Proving Ground
Synthetic caller populations and regression tests that expose weak behaviour before release.
Voices & Call Samples
Audition different voices, languages and recorded call moments before choosing the production experience.
Call Intelligence
Recording, transcription, QA, extraction and routing across every completed call.
Integrations
APIs, tools and webhooks that keep the agent connected to the systems your teams already use.
Complete platform
Everything needed to run a voice operation.
AdaptiveX combines the voice experience, behavioural control, campaign operations and evidence layer in one platform. Start here for the full picture, then open the specialist pages when you need the detail.
Languages
Configure multilingual flows, code-switching, market knowledge and local escalation routes.
One standard across marketsElastic scale
Turn approved campaigns and queue coverage up or down without a hiring or retraining cycle.
Pilot → live → peakCall operations
Control lists, queues, schedules, retries, exclusions, transfers, tools and human handoffs.
Inbound and outboundReporting
See connect, containment, qualification, objections, QA, language demand and outcomes by campaign.
Explore reporting ↗Connected systems
Read context before the call, use approved tools during it and write structured outcomes back.
Explore APIs ↗Scale without a staffing event
Campaign capacity becomes a control.
Launch with a bounded population. Increase approved capacity when a list, queue or seasonal peak demands it. Scale back with the same click while the agent configuration, boundaries and reporting remain consistent.
- 01Increase outbound coverage without recruiting another team.
- 02Absorb overflow and seasonal demand without permanent headcount.
- 03Keep campaign limits, calling windows and exclusions explicit.
Elastic campaign controlCapacity changes without a hiring cycle
Limits governedLive capacity6×
Add campaign or queue capacity without recruiting another calling team.
What sits underneath
A system, not a voice wrapper.
Natural speech matters. But the differentiator is what decides which specialist should lead, which behaviours are allowed and how the outcome is reviewed.
Versioned configuration
Objectives, knowledge, tools, specialist behaviour and hard boundaries are defined for each deployment.
Turn-level decisioning
Signals are classified, priority rules arbitrate conflicts and the chosen action is logged.
Regression testing
Caller populations and expected behaviours are re-run when models, policies or workflows change.
Post-call intelligence
Recordings, transcripts, QA, extraction and outcomes are attached to the same operating loop.
Reporting after every call
The operation explains what happened.
Every completed call can be recorded, transcribed, scored and converted into structured fields within seconds. Report by campaign, market, language, caller population, objection, outcome or behavioural failure.
- 01QA every completed call instead of sampling a small fraction.
- 02Extract customer facts, commitments, objections and next steps.
- 03Route alerts and structured outcomes into your existing systems.
After every completed callCall intelligence
Processing 01 / 04
Live processRecording closed and attached to the call record.
- Now01HangupRunning
Recording closed and attached to the call record.
- Queued02TranscriptWaiting
Speakers separated and the conversation transcribed.
- Queued03AnalyseWaiting
QA, behaviours, outcomes and customer facts evaluated.
- Queued04Write + alertWaiting
Structured fields written back; exceptions routed.
Example extraction
- intent
- Cancel → save opportunity
- objection
- Price / perceived value
- competitor
- Named competitor plan
- budget_signal
- Sensitive to monthly cost
- sentiment
- Frustrated → regulated
QA dimensions
- Emotional handling
- Diagnosis
- Framework execution
- Influence & resolution
- Care & compliance
- Outcome
Example output shown. Fields, rubrics, retention and downstream actions are configured for each deployment.
Hear the platform
Voice is easier to judge by listening.
Edited demonstration excerpts show the agent handling service boundaries, requirements discovery and a useful next step.
Compare voices and full samples ↗Call sample 01 · Inbound supportReady
Warranty triage and clean handoff
The agent acknowledges urgency, stays within its authority, avoids repeating failed troubleshooting and offers a clear route to a specialist.
“Since you’ve already tried those steps, I’ll get you over to a specialist who can sort that replacement out for you.”
Call sample 03 · Requested callbackReady
From campaign idea to design brief
A requested website callback turns an early campaign idea into a scoped call-flow conversation and identifies who needs to approve the next step.
“Designing the call flow and tailoring the conversation is a core part of what we do.”
Technical walkthrough
Bring the hardest call in your operation.
We will map the specialist, boundaries, proof suite, live tools and post-call output it needs.