AWS Premier Tier Services Partner · 200+ cloud launches delivered · AI call answering built on Amazon Connect, Amazon Lex, and Amazon Bedrock
We connect the AI voice agent to your phone system and route selected calls, such as peak-period, overflow, or after-hours enquiries. We can also connect calendars, CRM platforms, and ticketing systems.
We configure customer intents, FAQs, operating hours, pricing, service areas, booking rules, and human-handoff requirements.
The AI phone agent can create leads or tickets, schedule appointments, send confirmations, record call outcomes, and update connected business systems.
We launch a focused use case with encryption, access controls, monitoring, and audit logs. Once performance is validated, the voice AI solution can expand across more phone lines, locations, or teams.
AI call answering handles peak periods and after-hours demand so fewer customers reach voicemail.
Qualify leads, book appointments, take orders, and resolve common support requests during the call.
The AI phone agent captures routine information so your team can focus on complex or high-value conversations.
Apply the same routing, qualification, and booking rules across every call.
Send confirmations, reminders, and status updates immediately after the conversation.
We combine AWS contact-center, generative AI, and integration services to deliver secure AI call answering at scale.
Combine your voice agent with adjacent conversational and advisory services:
The highest AWS partner tier, held since December 2024.
Generative AI, Migration and Modernization, Managed Service Provider, DevOps, Small and Medium Business, and Healthcare.
Backed by 200+ AWS certifications across the team.
Through our partnership with AWS, eligible companies may receive partial or full funding for an approved proof of concept, depending on projected AWS consumption and project scope. Eligibility is assessed during the discovery call.
Call data and integrations stay under your security, access, and retention controls.
Validate one call flow with a proof of concept before expanding across lines, locations, and teams.
Head of Support, ShopSmart
96 percent average intent match accuracy
50 percent lower support costs after go-live
A healthcare startup needed a compliant, scalable way to answer and route patient calls, accelerate follow-ups, and support remote staff without building a call center from scratch.
Avahi stood up an Amazon Connect cloud contact center as the voice front door, which was deployed on a Well-Architected AWS foundation that also leveraged AWS HealthLake and Amazon WorkSpaces for healthcare data and secure agent access.
Omnichannel patient outreach and intelligent call flows on Amazon Connect, ready to qualify, book, or route by business rules.
Secure, cloud-native operations aligned to healthcare needs using HealthLake and WorkSpaces (PHI stays in your AWS account).
Faster go-to-market: no on-prem telephony - queues, IVRs, and analytics configurable in days.
Elastic scale for peaks and after-hours, with centralized recordings and metrics for QA and optimization.
An AI voice agent is software that answers phone calls, understands natural speech, and completes tasks such as lead qualification, appointment booking, order capture, and call routing. Unlike a basic phone menu, it can respond conversationally and connect with calendars, CRM platforms, and support systems.
An AI voice agent converts speech into text, identifies the caller's intent, retrieves relevant information, and completes an approved action. It then responds using a natural-sounding voice or transfers the call to a person based on your handoff rules.
Customers are more likely to use an AI voice agent when responses are brief, accurate, and relevant to their request. Clear human-handoff options should also be available when the caller asks for a person or the agent cannot complete the task.
The agent is designed to handle repetitive and predictable calls rather than replace every customer-facing role. It captures basic information and completes routine tasks so your team can focus on sensitive, complex, or higher-value conversations.
The solution can use encryption in transit and at rest, role-based access controls, audit logs, and defined data-retention policies. Because it runs on AWS, the architecture can be configured around your organization's security and compliance requirements.
Launch time depends on the number of call flows, integrations, languages, and compliance requirements involved. A focused AI call answering use case can usually be launched sooner than a company-wide contact-center deployment.
The agent can be configured for multiple languages and different speech patterns, although accuracy should be tested against the accents, terminology, and call conditions common to your customers.
Phone systems, calendars, CRM, and ticketing tools, plus custom integrations you need.
