News
Key Takeaways
- Lifecycle framework launch. Synthflow AI introduces BELL to manage voice AI deployment risk.
- Integrated AI operations. BELL unifies building, testing, launching and learning within one platform.
- Enterprise reliability focus. Call center leaders gain better control over voice AI performance and compliance.
Synthflow AI introduced the BELL Framework to mitigate deployment risks in enterprise voice AI through an integrated lifecycle management system.
The December 3 release addresses common failure points in enterprise deployments. It integrates into a platform powering 65 million calls across 1,000 implementations. Company officials claim the system targets issues beyond model performance that cause projects to fail in production, including testing, routing, latency and compliance.
Table of Contents
- Synthflow's BELL Framework: Key Capabilities
- The Biggest Barriers to Voice AI Deployment
- Frameworks That Reduce Risk
- A Look at Synthflow's Background
Synthflow's BELL Framework: Key Capabilities
"BELL ensures your voice agents behave as expected before customers ever hear them. It is the difference between hoping your AI works and knowing it will perform on every call."
- Hakob Astabatsyan
Co-Founder & CEO, Synthflow AI
The four-stage system addresses specific voice AI deployment challenges:
| Key Stages | What It Does |
|---|---|
| Build | Visual flow designer for logic mapping and orchestration |
| Evaluate | Test center simulating calls for accuracy and task completion |
| Launch | Global telephony infrastructure with sub-100ms latency |
| Learn | Analytics dashboards with Auto-QA for continuous monitoring |
Related Article: AI Governance Isn’t Slowing You Down — It’s How You Win
The Biggest Barriers to Voice AI Deployment
Voice AI deployments face technical barriers that undermine ROI, with accuracy and hallucination risks remaining significant obstacles. Even large language models (LLMs) require human oversight to manage hallucinations, as conversational AI struggles with complex languages and context-specific nuances.
Testing presents unique complications. Security vulnerabilities necessitate continuous red teaming while multi-modal interactions span text, audio and video.
Inefficiencies also emerge during multistep processes. When IVR systems fail, agents cannot complete intended tasks.
Frameworks That Reduce Risk
Organizations should map real use cases and prioritize governance. Internal tools like agent assist offer lower-risk entry points by operating within the organization's domain. The 65% of organizations using generative AI face quality assurance challenges in ensuring systems work without introducing new risks.
Still, AI alone cannot solve all service challenges. In fact, research indicates that customers value accuracy over availability, meaning they're willing to wait longer and speak to human service agents rather than receive incorrect or ineffective information.
A Look at Synthflow's Background
Synthflow targets contact center leaders at mid-market and enterprise organizations. The 2023-founded startup automates high-volume interactions to reduce operational costs.
The platform offers a no-code flow builder and CRM integrations. Operations teams refine call logic without deep engineering support.
