The Laboratory
Where AI Concepts Become Things You Can Touch.
We don't just build AI — we study it, take it apart, and make it make sense. Each experiment below is something you can play with.
Experiment 01
The Intent Detector
How AI understands what you mean, not just what you say.
Intent classification is the backbone of every voice AI agent. When a caller speaks, the system doesn't just transcribe words — it maps the entire utterance to a category of intent (scheduling, cancellation, complaint, etc.) and extracts a confidence score. This happens in milliseconds, before the agent even begins forming a response. The sentiment layer adds emotional context so the agent can adjust its tone dynamically.
Experiment 02
The Persona Mixer
How voice, tone, and personality shape an AI agent.
Agent Response Preview
“Hi there, thanks for calling. How can I help you today?”
Every brand has a personality, and your AI agent should carry it. The Persona Mixer demonstrates how three core dimensions — warmth, pace, and formality — combine to create distinct voice personalities. In production, these parameters feed into prompt engineering and voice synthesis to create agents that sound exactly like your brand. A luxury hotel and an urgent care clinic need fundamentally different agents.
Experiment 03
The Extraction Lab
How AI pulls structured data from conversation.
Press play to start the conversation.
Extracted Data
During every call, the AI agent is silently extracting structured data from unstructured conversation. Names, dates, phone numbers, sentiment — all captured in real-time and formatted for your CRM, EHR, or booking system. This isn't post-call transcription; it happens live, mid-sentence, so the data is ready the moment the call ends. Zero manual data entry required.
Experiment 04
The Workflow Wires
How extracted data triggers automated actions.
Click a node for details. Drag to rearrange.
Once data is extracted from a conversation, it needs to go somewhere. Workflow Wires shows how Workforce Wave connects the dots — a new lead triggers CRM entry, SMS follow-up, and calendar booking in sequence. An urgent request escalates to a human while simultaneously notifying the team. These workflows run autonomously, 24/7, turning every conversation into a chain of automated actions.
Experiment 05
The Signal Tower
How multilingual detection works in real-time.
Voice Comparison
Audio samples coming soon
Language detection happens in the first 200 milliseconds of a call. The system analyzes phonetic patterns, character sets, and common phrases to identify the caller's language with high confidence. Once detected, the agent can either continue in that language natively (Tier 2) or route through real-time translation (Tier 1). This means a single phone number can serve callers in 30+ languages without any menu prompts.
More experiments are being built. The Laboratory grows every month.
Common Questions
Frequently asked about Workforce Wave AI capabilities.
Questions buyers ask when exploring what an AI voice agent can actually do.
How does a Workforce Wave AI agent understand what a caller means, not just what they say?
Workforce Wave uses intent classification to map every caller utterance to a category — scheduling, cancellation, complaint, information request, and more — with a confidence score computed in milliseconds. A sentiment layer adds emotional context so the agent adjusts its tone dynamically. This intent detection backbone powers every Workforce Wave agent across all verticals.
Can an AI voice agent be configured to match a brand's personality and tone?
Yes. Workforce Wave agents are configurable across three core personality dimensions — warmth, pace, and formality — which feed into prompt engineering and voice synthesis to produce a distinct brand voice. A luxury hotel and an urgent care clinic need fundamentally different agents, and Workforce Wave generates each with the appropriate persona from the start.
How does Workforce Wave extract structured data from a phone conversation?
During every call, Workforce Wave extracts structured data — names, dates, phone numbers, intent category, urgency, and custom intake fields — in real time, mid-sentence. This data is ready the moment the call ends and is pushed directly to your CRM, EHR, or booking system. There is no post-call transcription step and no manual data entry required.
What automated actions can a Workforce Wave agent trigger after a call?
Workforce Wave connects extracted call data to downstream workflows: a new lead triggers a CRM entry, an SMS follow-up, and a calendar booking in sequence. An urgent request escalates to a human while simultaneously notifying the on-call team. These workflows run autonomously 24/7, turning every conversation into a chain of automated actions without staff involvement.
How does Workforce Wave handle callers who speak languages other than English?
Language detection happens in the first 200 milliseconds of a call. Workforce Wave analyzes phonetic patterns and common phrases to identify the caller's language with high confidence, then responds in that language natively. A single phone number can serve callers in 30 or more languages without any menu prompts or manual configuration.