Advisory board perspective
TJ Rulapaugh
Product design · Industrial software
Co-founder and product leader at IOTA Software, bringing product design, industrial software, and data-visualization judgment to complex systems work.
Voice AI development
Voice AI built for the call after the happy-path demo.
We design production voice systems for intake, support, scheduling, and operational coordination—connected to the systems behind the conversation and able to hand off cleanly when a person should take over.
Why teams choose Ashlr
Natural turn-taking
Human handoff
CRM and workflow integration
Monitored outcomes
The short version
What a production voice AI system includes.
Voice AI combines speech recognition, language understanding, business logic, voice generation, telephony, and system integrations into a conversation that can complete a real job. The quality of the voice is only one part. A production system must handle interruptions, silence, accents, noisy connections, missing information, policy limits, system latency, and moments when the right answer is to transfer the caller to a person with context intact.
Company evidence & perspective
Company delivery record. Advisory perspective.
This engagement shows Ashlr’s broader delivery record; the advisor bio reflects individual experience—not participation in, or proof of, this specific service.
What we bring
Everything behind a reliable conversation.
We build the call flow, integrations, knowledge access, action layer, escalation logic, monitoring, and review experience—not just the prompt that drives the voice.
AI Systems
Private AI, agents, retrieval, assistants, copilots, evals, and model workflows that operate inside real business constraints.
LLM APIsRAGAgentsEvalsPrompt systemsGuardrails
Custom Software
Internal tools, portals, SaaS products, dashboards, integrations, and automation built around the way your organization actually runs.
Next.jsReactTypeScriptNode.jsPythonAPIs
Workflow Automation
Systems that move work across CRM, ERP, email, documents, forms, tickets, and approvals while keeping people in control.
CRMERPEmailDocsApprovalsWebhooks
Data & Intelligence
Cloud data models, pipelines, BI surfaces, executive command centers, and narrative reporting for faster operating decisions.
PostgresSupabaseWarehousesDashboardsPipelinesAlerts
Cloud Delivery
Modern deployment, observability, secure environments, integrations, and maintenance for systems that need to keep moving.
VercelAWSCI/CDMonitoringAuthStorage
Security Assurance
Application reviews, permission design, dependency audits, penetration testing, and remediation support before fragile systems become business risk.
AppSecPentestingIAMDependency reviewAudit trailsPolicy
Why Ashlr
What makes this different.
01
The conversation is designed around the job
We map caller intent, required information, system actions, disclosures, escalation rules, and completion criteria before tuning voice personality. The operating outcome defines the experience.
02
Handoff carries the context forward
When a person takes over, they should receive the caller, a concise summary, the gathered details, and the reason for escalation. A transfer that starts the conversation over is not a successful handoff.
03
Latency and failure are product decisions
We design for interruption, delayed tools, incomplete records, low-confidence transcription, and unavailable downstream systems so the conversation remains clear when infrastructure is imperfect.
04
The call updates the operating system
A completed conversation can create a record, schedule an event, route a case, prepare follow-up, or update the system of record with the permissions and review steps the workflow requires.
Best fit
Who this is for.
- Service teams with high-volume intake, triage, scheduling, or status calls
- Organizations that need after-hours coverage with a dependable escalation path
- Operations teams coordinating field, facility, logistics, or appointment workflows
- Enterprises that need voice interactions integrated with CRM and internal systems
- Product companies adding a voice channel to an existing workflow
How it runs
How we build the voice channel.
01
Design the call and control model
We define intents, required data, disclosures, approved actions, human handoff, retention boundaries, and the exact conditions for a completed call.
02
Connect one end-to-end call flow
We build the conversation, telephony, integrations, action layer, and operator handoff around a bounded use case that real callers can exercise.
03
Review calls and harden behavior
With appropriate data handling, we examine transcripts, outcomes, latency, failure paths, and transfers, then improve the system against representative call scenarios.
Keep exploring
Related services and use cases.
Questions buyers ask
Common questions about voice AI development.
What can a voice AI agent do beyond answer questions?
With the right permissions and integrations, it can gather structured intake, look up approved information, schedule an appointment, create or update a case, route a request, trigger follow-up, and transfer to a person with a useful summary. The allowed actions should match the risk of the workflow.
How does the system handle callers it does not understand?
The call flow should confirm important details, ask focused recovery questions, recognize low confidence, and transfer or create a follow-up when the interaction cannot be completed safely. Pretending to understand is never the correct fallback.
Can voice AI integrate with our CRM and scheduling tools?
Yes. We connect the voice channel to APIs, webhooks, databases, and internal tools so it can retrieve approved context and write back a structured outcome. Integration design is typically more important than the voice model itself.
How do you approach call recording and sensitive data?
We define the data that is actually required, where transcripts and recordings may exist, who can access them, how long they are retained, and which disclosures or controls the organization needs. Legal and compliance requirements remain specific to the client and use case.
Does voice AI replace the service team?
It is most useful as a new front door for bounded, repetitive work and as a preparation layer for people. Complex, sensitive, or unusual conversations should reach a person quickly with the context already gathered.
Start the conversation
Turn one call flow into a complete operating workflow.
Bring the conversation, the systems behind it, and the moments that require a person. We will design the voice channel around the whole job.