AI Voice Readiness Sprint
For organizations that need a grounded starting point before selecting technology or launching a pilot.
- Journey and use-case inventory
- Data, integration, and risk assessment
- Prioritized roadmap and business case
AI Voice Programs
Structured programs for moving conversational AI into production.
Each program combines experience design, integration, testing, governance, and operational readiness with clear milestones and measurable outcomes.
Contact Center Voicebot Pilot
Prove a high-value customer journey with production-minded architecture and measurable acceptance criteria.
- Conversation and persona design
- Contact-center and CRM integration
- Evaluation, containment, and handoff testing
Chat-to-Voice Continuity
Connect chatbot and voicebot experiences so customers retain context when moving between channels.
- Shared identity and conversation state
- Channel-aware workflow orchestration
- Consistent knowledge and policy controls
Human Handoff Modernization
Improve how automation recognizes limits and transfers customers to the right person with useful context.
- Escalation intent and policy design
- Warm transfer and agent context delivery
- Transfer quality and resolution analytics
AI Voice Governance
Establish ownership and controls for models, prompts, knowledge, recordings, customer data, and production change.
- Evaluation and release gates
- Privacy, consent, and audit controls
- Incident and change-management framework
Managed Conversation Operations
Continuously improve deployed agents using conversation evidence and business outcomes.
- Quality and failure analysis
- Prompt and knowledge optimization
- Monthly outcome and risk governance
One conversation architecture
AI voice, digital chat, contact-center routing, business data, secure actions, and human agents should operate as one customer experience rather than separate automation projects.
