Softment

AI Development

Voice Agent Development

We build voice agents that handle real call workflows: answer questions, collect details, book appointments, and complete actions via tools—while keeping latency low and human handoff seamless.

TimelineTypical: 3–6 weeks (scope-dependent)
Starting at$2k
Security-first AI integrations • Evals + logging + guardrails included

Overview

What this service is

Voice agents combine telephony with real-time STT/TTS and tool access to complete workflows over calls.

We design call flows with safety and compliance in mind: consent, escalation, and strict action allowlists.

Delivery includes monitoring for latency, failures, and user outcomes so you can iterate confidently after launch.

Standard

AI delivery standard

Quality and safety practices we ship with AI builds so the system stays measurable, maintainable, and production-ready.

Logging + tracing

Conversation and tool traces with request IDs, error visibility, and debug-friendly runbooks.

Guardrails + safety

Tool allowlists, PII-safe patterns, refusal behavior, and escalation routes for edge cases.

Evals + regression tests

Golden queries, scorecards, and regression checks so quality improves over time instead of drifting.

Cost + latency controls

Caching, prompt discipline, retrieval tuning, and routing so your app stays fast and predictable at scale.

Documentation + handoff

Architecture notes, environment setup, and next-step roadmap so your team can iterate safely after launch.

Security-first integration

Secrets isolation, role-based access, audit-friendly actions, and minimal data retention by design.

Benefits

What you get

Handle after-hours calls without losing leads

Automate scheduling and basic support workflows

Reduce agent time with structured call summaries

Keep latency low for natural conversations

Transfer to humans with full context

Measure outcomes with call analytics and evals

Features

What we deliver

Inbound and outbound call flows

Greeting, intent detection, verification steps, and outcomes (book, route, resolve) with robust fallback behavior.

Real-time STT/TTS

Low-latency transcription and natural speech synthesis tuned for your brand and call environment.

Knowledge grounding (optional RAG)

Answer from your policies and docs with citations available in transcripts and post-call summaries.

Tool actions

Create tickets, book appointments, update CRM fields, and trigger workflows via allowlisted tools and approvals.

Human transfer + agent assist

Warm transfer with a structured summary, extracted fields, and call transcript so humans continue smoothly.

Observability + evaluation

Latency metrics, failure tracking, call outcome dashboards, and regression checks on common intents.

Process

How we work

1
2–4 days

Discovery

Call intents, compliance needs, integrations, and success metrics.

2
4–7 days

Flow design

Scripts, prompts, escalation rules, and tool allowlists.

3
2–4 weeks

Build

Telephony wiring, STT/TTS, tool actions, and UI for transcripts.

4
3–7 days

QA

Latency testing, edge cases, and failover paths.

5
2–4 days

Launch

Monitoring, rollout, and handoff documentation.

Tech Stack

Technologies we use

Core

Twilio Voice / SIPVapi (optional)Whisper / Deepgram (STT)ElevenLabs / TTS

Tools

OpenAI / AnthropicWebSockets (streaming)Node.js / PythonCRM / scheduling APIs

Services

Sentry / tracingQueues + retries

Use Cases

Who this is for

Appointment scheduling agent

Handle inbound calls, check availability, book appointments, and send confirmations automatically.

After-hours lead capture

Qualify callers, capture structured requirements, and route leads with summaries to your team.

Tier-1 support hotline

Resolve common issues and create tickets with details when escalation is needed—reducing agent load.

Collections and follow-ups

Run compliant outbound workflows with opt-outs, scripting, and clear audit trails.

Internal ops call assistant

Summarize calls, extract action items, and create tasks automatically for faster follow-through.

AI Case Examples

Micro case studies (anonymous)

A few safe examples of outcomes we build for real operations—no client names, just results.

Secure Mobile Solution in Australian Defence Ecosystem

Problem: Secure data workflows were required in a regulated environment with strict access controls.

Solution: Hardened architecture with strict auth, encrypted storage, and audit-friendly engineering patterns.

Outcome: Deployed securely within a regulated ecosystem with clear handoff and operational guidance.

AI Knowledge Base Across 2,000+ Pages

Problem: Teams needed fast answers across long PDFs, but search was slow and results were inconsistent.

Solution: RAG with hybrid retrieval and reranking, plus grounded answers and safer fallback behavior.

Outcome: Reliable answers with <10s response times and measurable improvements on real queries.

Ops Automation with AI + n8n

Problem: Manual approvals and CRM syncing created delays and data inconsistencies across tools.

Solution: Event-driven automation with validation gates and AI-assisted classification where it improved routing.

Outcome: Reduced manual workload significantly with more reliable workflows and operator visibility.

Decision Guides

Not sure which to choose?

FAQ

Frequently asked questions

We use streaming STT/TTS, tight prompt/tool routing, caching where appropriate, and careful model selection to keep responses fast and conversational.

Yes. We implement warm transfer with a summary and transcript so humans have context immediately.

Yes, where allowed. We design outbound flows with compliance and opt-out handling based on your region and policies.

Yes. We can book appointments, update CRM records, and create tasks via API integrations and tool allowlists.

We can support recording where appropriate. Recording policies and consent requirements vary—so we implement clear consent flows and configurable retention rules.

Start with 2–3 core intents (scheduling, FAQ, lead capture) and a clean human handoff, then expand based on analytics.

Ready to start?

Want help with voice agent development?

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