Describe the goal, current systems and constraints. We will review the scope and identify the next evaluation step.
Expected value, implementation cost, and the measurement method are agreed before development begins.
Milestones are set around data readiness, integrations, security review, and the production environment.
Current cost, cycle time, quality, capacity, or risk is established before improvement is measured.
Results are reported against approved source data, a defined system boundary, and an agreed measurement period.
ALLTIPLY designs, builds and runs voice AI agents for enterprise call flows. Agents answer inbound calls, place outbound calls, identify intent, qualify and route callers, book appointments and write a structured record back to your CRM, all inside the phone and business systems you already run.
Every agent works from approved scripts, knowledge and business rules, and hands the call to a person with full context when it reaches the edge of what it should handle. Voice AI for sales practice and certification is a separate service, Voice AI Training and Certification.
These firsthand reports distinguish production use from proof environments and prototypes.
Explore our work and evidence status or read the research library directly.
Four phases from call flow mapping to a monitored agent in production.
We review call types, volumes, scripts, escalation paths and the systems each call touches, then agree the flows to automate and how success is measured.
We build the agent on your approved knowledge and rules and connect it to telephony, CRM and scheduling with scoped permissions and logging.
We test against recorded and scripted calls, tune intent handling and escalation, and run a controlled launch on part of the live traffic.
The agent runs in production with transcript review, outcome reporting and regular updates to knowledge, rules and escalation paths.
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