Loading…
Portland, OR
Interactive voice response systems from fifteen years ago transfer callers into loops. They do not resolve anything. Your team knows this. So do your callers.
WayFind Labs builds AI voice agents that hold a real conversation, take action in your systems, and hand off to a human when that is the right call. WebRTC, Twilio, and LiveKit stacks. Latency under 400ms end-to-end. Designed for lean Portland engineering teams that do not have bandwidth to babysit an IVR.
Project scope and cost depend on call flow complexity and integrations. Most are in production within 12 weeks.
Start a conversation about your call automation project
You are a VP of Engineering at a Portland company with a call-heavy workflow that humans are currently handling manually. Inbound scheduling, support escalation, dealer or partner inquiries, or internal helpdesk calls. You have probably looked at off-the-shelf IVR products and found them either too rigid or too expensive to configure correctly.
You want something built to your call flows, integrated with your CRM or ticketing system, and deployed on infrastructure your team understands. You do not want a vendor relationship that requires you to go through a customer success manager to change a prompt.
Portland companies we have worked with or built for include hospitality platforms managing property scheduling calls, outdoor and sporting goods companies handling dealer support lines, and software infrastructure teams replacing internal IT helpdesk calls with self-service voice automation.
Every voice agent we ship is built on the same four technical foundations. The specific vendors and models change per project. The architecture does not.
We do not wait for a full utterance to begin generating a response. Streaming speech-to-text and text-to-speech pipelines run in parallel. Deepgram for transcription, ElevenLabs or Cartesia for synthesis depending on voice quality requirements. End-to-end latency targets are set in discovery and tested under load before go-live. Most projects land under 350ms first-response time.
Voice agents are not stateless. They need to know what was said two turns ago, what data they have already retrieved, and what the caller confirmed. We build explicit state machines for each call flow rather than relying on context window alone. This makes the agent predictable, auditable, and easier to test. State persists across call legs for multi-step workflows.
PSTN inbound and outbound calls use Twilio Media Streams and Programmable Voice. Browser-based or WebRTC-first use cases use LiveKit or Daily for lower-latency audio transport. We have production deployments on both and pick based on your call type. Existing Twilio numbers and SIP trunks carry over with no number porting required in most cases.
Every call flow has a designed exit. When confidence is below threshold, when a caller asks for a human, or when a workflow requires judgment the agent cannot provide, the call transfers with full context passed to the receiving agent. Warm transfers include a spoken summary. Async handoffs write a structured ticket to your CRM. No caller hits a dead end.
Portland has a specific engineering culture: lean teams, high ownership, and a preference for infrastructure that works without constant maintenance. Voice agents we build here reflect that.
Vacation rental and hospitality platforms in the Pacific Northwest handle a high volume of inbound calls around check-in, maintenance requests, and booking changes. Voice agents can handle the tier-one call volume without adding headcount, routing complex issues to property managers with full call context.
Outdoor and sporting goods companies with national dealer networks field repetitive calls about order status, product availability, and return authorization. These are well-defined workflows with clear data sources, making them good candidates for voice automation with system integration.
Portland software infrastructure companies with distributed teams use voice agents for internal helpdesk automation: password resets, access provisioning status, incident acknowledgment, and on-call routing. These reduce L1 ticket volume and give engineers back time.
A fixed-scope engagement. No retainer required to keep it running after handoff.
Every conversation path mapped as a state diagram before a line of code is written. Approved by your team before build starts.
Deployed to your infrastructure or ours, with Twilio or LiveKit wired to your existing phone numbers or new ones provisioned during the project.
Call outcomes written to your CRM, support platform, or scheduling system. Structured data, not call notes.
Warm transfer logic, callback scheduling, and dead-end prevention for every call flow branch.
Concurrency tests at 2x your expected peak call volume. Latency measurements at p50, p90, and p99 before go-live sign-off.
Written for your engineers, not a vendor support team. Covers monitoring, prompt updates, model swaps, and incident response.
Most projects run 8 to 14 weeks from signed contract to production call traffic. Discovery and architecture take two weeks, build and integration take six to eight weeks, and load testing plus go-live take two weeks. Timeline depends on the complexity of your existing telephony setup and the number of call flows in scope.
We work with both. Twilio is the default for most inbound and outbound call workflows because of its PSTN reach and Studio integration. LiveKit suits browser-based WebRTC use cases where sub-200ms latency matters more than PSTN coverage. We pick based on your call type, not preference.
Every agent we ship has a designed fallback path. That might be a warm transfer to a human agent, a callback scheduling prompt, or a structured handoff to your ticketing system. We map these paths in discovery and test them before go-live. Callers never hit a dead end.
Yes. We configure language detection at the start of each call and route to the appropriate TTS and STT models. We have shipped bilingual agents and can scope that as a requirement in discovery. Separate language models are used per language for best accuracy.
Tell us about your call volume and current process. We will come back with a scope estimate, not a sales deck.