Inside Aigent™: How Peak Support’s AI Suite Elevates Agent Performance and QA at Scale
- Peak Support
Article Overview: Aigent™ is Peak Support’s AI suite for improving agent performance, QA coverage, workflow efficiency, and compliance at scale. This blog breaks down how its AI agent assist tools, QA automation, Voice Clarity Suite, and workflow automation help CX teams move faster without adding more complexity. It also shows how Peak Support pairs secure AI infrastructure with practical agent training, so companies can adopt AI with more confidence.
Support Teams Are Moving Faster Than Their Systems
Customer support teams are expected to deliver faster responses, better experiences, and more consistent quality across every interaction. But many agents still juggle multiple tools just to handle a single conversation, while QA teams review only a small portion of customer interactions.
That gap is one reason many companies struggle to get real value from contact center AI tools. More software does not always mean better operations.
Aigent™ was built to solve those operational gaps more practically. Peak Support designed its AI agent assist tools to streamline workflows, improve QA visibility, and reduce repetitive work without disrupting how CX teams already operate.
How Aigent™ Uses AI Agent Assist Tools to Improve Live Support
At the center of Aigent™ is Coach Console, a workspace designed to support agents during live customer conversations. Instead of switching between multiple systems, agents can access:
- Knowledge base support
- AI-assisted response drafting
- Grammar recommendations
- Compliance guidance
- Workflow prompts
The platform works as agent assist software that reduces the friction slowing agents down and creating inconsistent customer experiences. Newer agents ramp faster, while experienced agents spend less time on repetitive manual work.
Because Aigent™ operates in-browser, deployment is faster and less disruptive than many traditional contact center AI tools. Clients can improve workflow efficiency and agent performance without rebuilding their existing support environment.
QA Autopilot and Why 100% Interaction Scoring Matters
Most QA teams can only review a small percentage of customer interactions, making it harder to spot recurring issues, coaching opportunities, and compliance risks across larger support operations.
Aigent™ addresses that through QA Autopilot, which uses QA automation for customer support to score interactions at scale instead of relying on limited sampling. This gives support leaders a clearer view of performance trends, customer pain points, and agent consistency.
Peak Support is also developing proactive QA capabilities planned for Q4 2026 to help teams identify risks earlier before they become larger operational issues.
Voice Clarity Suite and Better CX Communication
Clear communication plays a major role in customer experience, especially in high-volume voice support environments where small misunderstandings can slow conversations down and frustrate customers.
Aigent™ includes Voice Clarity Suite, which supports accent neutralization by improving speech clarity in real time without removing the individuality of agents themselves. The goal is to reduce repetition, improve comprehension, and help conversations move more smoothly across global support teams.
AI Workflow Automation Removes Repetitive Backend Work
A large portion of support work happens after the customer conversation ends. Agents still need to:
- Update records
- Move information between systems
- Trigger follow-up workflows
- Complete repetitive administrative tasks
Aigent™ uses AI workflow automation, robotic process automation in BPO environments, and agentic AI to reduce that manual work across tools and systems. This helps teams lower administrative workload, reduce manual errors, and give agents more time to focus on customer interactions.
These changes can create day-one impact by reducing tool-switching, speeding up post-conversation work, and helping teams see workflow improvements without a long implementation cycle.
Security and Compliance: Built into the Foundation
Adopting AI in customer support also raises concerns around compliance, data security, and customer privacy, especially in regulated industries.
Aigent™ was designed with compliance built into the foundation. All tools operate within a secure browser layer, while AI integrations are managed through Peak Support’s backend infrastructure to reduce unnecessary data exposure.
The environment is backed by:
- PCI-certified infrastructure
- SOC2-certified infrastructure
- ISO-certified infrastructure
Sensitive data filtering is also in place to help protect customer information during AI-assisted workflows. This helps companies adopt compliant AI customer service capabilities without compromising BPO data security or operational standards.
How Peak Support Trains Agents to Use AI Effectively
AI tools are only part of the equation. How agents are trained to use them determines whether AI improves performance or creates unnecessary operational and compliance risks.
Peak Support approaches contact center AI adoption through two training tracks.
The first covers:
- AI fluency
- Approved tools
- Responsible use policies
- Data protection guardrails
The second is client program-specific training built around each client’s workflows, requirements, and operational standards. This helps agents use AI tools for CX agents confidently while staying aligned with client expectations and security policies.
Why Operational Readiness Matters in AI Adoption
AI works best when it improves the systems support teams already rely on instead of adding more operational complexity. That is the approach behind Aigent™. From AI agent assist tools and QA automation for customer support to workflow automation and secure AI deployment, the suite was built to help teams work more efficiently without losing visibility, compliance, or human oversight.
Peak Support combines practical AI implementation with experienced support operations and secure infrastructure, helping companies improve CX performance without disrupting existing workflows. Before adding another AI platform to the stack, it helps to understand where operational friction already exists. Peak Support helps companies streamline those workflows first, so AI adoption creates measurable impact instead of more complexity.