User-Defined Workflows.
Real-World Execution.
AZcare is built for the billions of hours businesses still spend completing work over the phone, turning user-defined intent into flexible workflows that adapt in real time from request to outcome.
While competitors build one-off workflows for narrow use cases, AZcare is designed for the reality of enterprise work, where every request can involve different systems, departments, routing, hold times, and handoffs.
The business side of the phone
Many critical workflows still depend on dynamic phone interactions. Teams navigate phone trees, wait on hold, and coordinate across fragmented systems to complete everyday tasks.
These workflows are multi-step and unpredictable, often requiring multiple calls to complete. Scheduling, verification, and coordination tasks frequently take 2 to 5 calls, with hold times totaling billions of hours each year.
Dynamic phone-based tasks cost employers over $100B annually in lost productivity, representing a massive and largely unaddressed layer of enterprise work.
AI has focused on improving call centers. The business side of the phone, where work actually gets done, remains unsolved.
A flexible solution for real work
AZcare is an AI calling agent that executes real-world tasks across the phone systems businesses still rely on.
Instead of an employee directly calling someone, AZcare handles the workflow.
The system can navigate phone trees, wait on hold, speak with agents, gather information, and complete any related tasks on behalf of the business.
What used to take hours of phone time can now be completed automatically.
Try AZ Call
Explore how real-world phone workflows can be completed without manual calls.
Why Now
AI Can Now Execute, Not Just Respond
AI has reached a point where it can reliably execute multi-step workflows across real-world systems, not just assist users.
At the same time, phone-based work represents a $100B+ opportunity, driven by millions of employees spending time on coordination, scheduling, and verification tasks.
This creates a clear inflection point where automation of real-world workflows becomes both possible and compelling.
Why AZcare
Built for Dynamic Workflows, Not Conversations
AZcare is purpose-built to execute multi-step workflows across real-world systems, focusing on the business side of the phone where work actually gets done.
At the same time, the platform is designed for coordination, reliability, and completion, with architecture and experience grounded in enterprise AI and communications.
This positions AZcare to lead the shift from AI that assists to AI that executes real-world work.
Proven team in enterprise AI and communications
The AZcare team previously built BabbleLabs, an AI communications company backed by Dell Technologies and Intel Capital, delivering over 10x ROI and acquired by Cisco in 2020.
With over 50 years of combined experience in machine learning, voice, and enterprise AI platforms, the team is focused on executing real-world workflows across the systems businesses rely on.
Samer Hijazi PhD
CEO and Founder
Former executive at Cadence and Qualcomm. Co-founder of BabbleLabs, leading AI innovation through its acquisition by Cisco Webex.
Martha McClatchie
CFO and Co-Founder
Led finance and operations at BabbleLabs. Background across startups, GE Capital, and Silicon Valley organizations.
Support teams across the business
AZcare is building a new execution layer for real-world workflows across the business.
Start with calls
AZcare handles phone-based coordination across vendors, providers, agencies and support teams.
Repeatable workflows
Common tasks become structures processes with routing, follow-up and resolution steps.
Connect systems
Workflows bridge the gaps between people, platforms, record, and outside organizations.
Intent execution
Teams request outcomes, and AZcare helps complete the real-world-based task autonomously.
The future of operational workflows
Phone systems still power critical business processes. AZcare is building a new layer to automate that work, turning time spent into completed outcomes.
