NaviCS AI
Tech Leaders

The engineers who own the platform your agents run on

Each part of the NaviCS AI platform has a named technical owner. When something matters to your deployment — call quality, an integration, a security question — there is one person accountable for the answer.

Chief Technology Officer

Owns the AI agent platform — its architecture, reliability and security — and the engineering standards behind every deployment.

  • Platform architecture and roadmap
  • AI safety, quality and evaluation
  • Security and engineering standards

Engineering leadership

Six owners, one platform

What each leader is responsible for, and what they are accountable to clients for.

Voice & Conversational AI Lead

Responsible for how agents listen, speak and hold a natural conversation on calls and chat.

Focus

  • Speech recognition and synthesis
  • Dialogue design
  • Latency and call quality

Accountable for

  • Voice pipeline from audio in to audio out
  • Conversation quality benchmarks
  • Language and accent coverage

Platform Engineering Lead

Responsible for the core platform that runs agents, workflows and tenants at scale.

Focus

  • Multi-tenant architecture
  • APIs and services
  • Performance and scale

Accountable for

  • Agent runtime and orchestration
  • Tenant isolation and platform APIs
  • Capacity and performance

Integrations & CRM Lead

Responsible for connecting agents to the CRMs, calendars, telephony and business systems clients already use.

Focus

  • CRM connectors
  • Telephony and messaging
  • Workflow triggers

Accountable for

  • Connector library and its reliability
  • Data mapping between agents and CRMs
  • Credential handling for integrations

Data Platform Lead

Responsible for the data foundations behind analytics, reporting and model training.

Focus

  • Pipelines and storage
  • Data quality
  • Analytics serving

Accountable for

  • Conversation and outcome data models
  • Pipeline monitoring
  • Analytics performance

Security & Reliability Lead

Responsible for the controls that protect customer data and keep the service available.

Focus

  • Access and credential controls
  • Monitoring and incident response
  • Release safety

Accountable for

  • Authentication, access and audit logging
  • Incident response process
  • Security review support for clients

AI Quality & Evaluation Lead

Responsible for proving an agent behaves correctly before launch and keeps doing so afterwards.

Focus

  • Test scenarios and evaluation
  • Guardrails and escalation rules
  • Post-launch review

Accountable for

  • Evaluation suites for each deployment
  • Launch readiness sign-off
  • Ongoing conversation review

Bring your hardest technical question.

Book a session and we'll put the relevant technical owner in the room — architecture, integrations, security or AI quality.