[ Custom Voice AI Agent Development ]
A voice agent built for your workflow, not a template.
Inbound, outbound, and omnichannel agents developed end to end, on an orchestration layer with fallback, evaluation, and monitoring built in from day one.
[ Why custom ]
Demos are easy. Real calls are not.
A production voice agent has to read and update real data, stay reliable when providers fail, and handle the messy edges of real conversations. We build for that from the first line, not after the demo breaks.
- Live data
- A demo fakes the data; production reads and writes your real systems mid-call.
- Provider failure
- One LLM, STT, or TTS outage drops the call without orchestrated fallback.
- Messy calls
- Accents, interruptions, and noise break a script that only handled the happy path.
[ Agent types ]
What we develop.
| Agent type | What it handles |
|---|---|
| Inbound | Call answering, qualification, routing, bookings, intake, after-hours coverage. Read case |
| Outbound | Follow-ups, confirmations, reminders, surveys, and information collection. |
| Omnichannel | Shared context across phone, SMS, WhatsApp, webchat, and internal systems. |
| Task agents | Agents that act: updating records, triggering workflows, closing the loop. Read case |
[ What we build ]
The full agent, end to end.
- Custom conversation flows for your use case
- Provider orchestration across LLM, STT, and TTS
- Multi-provider fallback for production reliability
- Telephony and channel routing
- CRM, PMS, EHR, and booking-system integration
- Human handoff and escalation logic
- Per-call quality evaluation
- Observability, latency, and cost tracking
[ Use cases ]
The calls we put agents on.
Legal intake
Qualifies cases, captures details, and schedules consultations around the clock.
Hotel reservations
Handles bookings, requests, and guest questions across every shift.
Customer support
Resolves tier-1 questions instantly and escalates the rest with context.
Appointment scheduling
Books, confirms, and reschedules against live calendar availability.
Lead qualification
Screens inbound and outbound leads and routes the qualified ones.
Post-call follow-up
Confirmations, reminders, and surveys that actually get completed.
[ Built for production ]
Engineered to survive real calls, not just demos.
- Architecture matched to the use case
- Stable under provider rate limits and outages
- Quality measured on every call, not sampled
- Tuned for latency and cost at real volume
- Auditable: transcripts, logs, and traceability
- Improved continuously after launch
[ How a build runs ]
From scope to production.
-
1–2 weeks
Discovery
Map the workflow, callers, goals, risks, and success criteria.
-
1–2 weeks
Conversation design
Call flows, escalation rules, tone, and the business logic behind them.
-
1–2 weeks
Architecture
The voice stack, providers, integrations, and deployment model.
-
4–8 weeks
Build
Develop the agent, connect your systems, and implement monitoring.
-
1–2 weeks
Validate
Test across real scenarios, accents, latency, and edge cases.
-
1 week
Launch
Deploy with dashboards, reporting, and a continuous-improvement loop.
[ What you receive ]
What lands in your hands at launch.
- A production voice agent, live on your lines
- Conversation flows and business logic, documented
- Integrations with your CRM and internal systems
- Monitoring dashboard and alerting
- A testing plan that covers your real call patterns
- Documentation your team can operate from
- Launch support and an improvement backlog
[ Proven in production ]
Voice agents we've shipped.
Two builds where real calls, real integrations, and real failure modes decided whether the agent shipped.
[ Common questions ]
Asked before most builds.
| Question | Answer |
|---|---|
| How long does a build take? | A working prototype in weeks. Pilot and hardening time depends on integrations and call complexity. |
| Inbound and outbound? | Both, plus omnichannel agents that keep context across phone, SMS, and chat. |
| Can it connect to our CRM or internal systems? | Yes. Reading and updating your systems mid-call is the point: CRM, PMS, EHR, and booking engines. |
| How do you test before launch? | Simulated and real-call sets across accents, noise, and edge cases, scored against a rubric. |
| Can we start with a pilot? | Yes, a limited production pilot on real calls is the standard path before full rollout. |
6 yrs
in complex B2B software
20+
experts across AI, product, design, and engineering
4.9/5
average client satisfaction
5+
industries: SaaS, hospitality, LegalTech, MarTech, support
"What truly stood out was Softcery's deep AI expertise. They were able to take our vision and turn it into a reality, and the final product has exceeded our expectations. Working with Softcery has been a game-changer for our business."
Jeanette Kreft
Managing Director, The Compliance Company & Upskill AI
"Softcery is not your typical software development agency – they're a full-scale product consultancy. The benefit of working with them is the collaboration."
Ryan Tabb
Founder, Bullseye