`AI AGENTS & VOICE`
Agents that hold up on a real call.
Voice and workflow agents that take routine calls and tasks, decide the next action and write it back to your system of record, with a person kept in the loop where it matters.
Start a conversationWhat we build
Voice agents with STT, LLM and TTS orchestration
Inbound and outbound call flows: intake, follow-up, scheduling
Workflow agents that read, decide and write back to CRM, EMR or core systems
Hybrid deployments: sensitive steps on local open-weight models, the rest in your cloud tenant
What we own in production
Turn-taking and interruption handling
Escalation rules and human handoff
Scripted conversation evals on every prompt change
Audit logging of every decision
Monitoring on real conversation outcomes
Typical team shape
** PM, AI engineer, back-end engineer, evaluation engineer, QA.
START
One line is enough.
Tell us what you need to build or improve, and what the solution has to work with. We will reply with a practical next step.
GOOD TO KNOW
Frequently asked questions
What does Digital Gateway build in AI agents and voice?
We build voice and workflow agents connected to the systems where work happens, including call handling, transcription, decisions, escalation and downstream updates.
How is a production voice agent different from a demo?
Production requires reliable turn-taking, interruptions, evaluation, monitoring, exception handling, human escalation and integration with live workflows.
Can agents hand a case to a person?
Yes. Human review and escalation can be designed into the workflow when the agent reaches an uncertain, sensitive or out-of-scope decision.
Can an AI agent write back to business systems?
Yes, when appropriate controls are defined. Our healthcare case describes voice agents that write the next action back to an electronic medical record.
How do you evaluate an agent?
We define representative conversations and failure cases, run scripted evaluations when prompts or models change, and track whether the operational workflow performs as intended.
Can voice agents be used with protected health information?
Architecture must follow the client’s data and security requirements. In our published healthcare case, PHI-touching steps use local open-weight models and de-identified reasoning runs in a HIPAA-covered tenant.
Do you only use one AI model provider?
No single provider defines the service. Model selection depends on latency, data residency, quality, integration and the client environment.
What surrounding systems do AI agents need?
Agents often depend on identity, APIs, event flows, audit logs, observability and reliable data pipelines. We can build or integrate those components.
Do you support launch and ongoing improvement?
Yes. Staged rollout, monitoring, evaluation and support can be included so the system remains useful after release.
What should a CTO send to start a voice-agent project?
Share the workflow, call types, system integrations, escalation rules, data constraints and intended result. We can then scope the real production work.