Case Studies

May 08, 2026

From Fragmented IVR to Intelligent Automation: G&A Partners’ Contact Center Overhaul

From Fragmented IVR to Intelligent Automation: G&A Partners’ Contact Center Overhaul

TARGET OUTCOMES

~ 0 %

target automation of inbound enquiries

0 %

of calls answered within 20 seconds

0 secs

wrap-up time reduction via AI & automation

0

core system integrations eliminating critical handoff failures in contact centre
01

ABOUT G&A PARTNERS

G&A Partners is a US-based professional employer organisation (PEO) operating in the human resources and business services sector. The company manages payroll, benefits, compliance, and HR administration on behalf of client businesses so those businesses can focus on growth. They handle over 60,000 inbound enquiries from both employees and client organizations every month.

The contact centre is central to service delivery. G&A Partners wanted to reduce agent workload, improve first-contact resolution, and bring full visibility to a contact operation that had grown fragmented over time.

Business team shaking hands during office meeting

Employees

501-1000

Location

USA

Industry

Human Resources & Business Services
02

THE BUSINESS CHALLENGE

G&A Partners’ contact centre had grown fragmented over time. Customers reached the team through multiple disconnected channels, with chat and voice operating as separate systems. The legacy IVR had a deeper problem: callers had learned button sequences to skip identity verification and reach an agent faster. This regularly sent them to the wrong team, created compliance risk, and meant agents spent time on rework rather than resolution.

When calls were transferred internally, agents had no reliable way to confirm whether the receiving party was actually available. Calls disappeared into dead ends. Because portions of the operation ran outside the core contact centre platform, there were no reliable metrics for responsiveness or service levels. The business could not measure what was invisible, and accountability gaps kept growing.

03

THE SOLUTION

Ciklum rebuilt the contact centre architecture from the ground up, migrating from Talkdesk to Amazon Connect. The static IVR was swapped for an AI-driven virtual agent. A unified interface gave agents everything they needed in one place. Live presence data stopped calls from being transferred into dead ends. And a restructured analytics pipeline finally gave the business accurate, real-time reporting. The result is a system where customer intent is identified at entry, agents have the right context, and the business has clear visibility across the entire operation.

AI chatbot icon for conversational IVR system
Replacing Static IVR with Conversational AI

The old IVR offered fixed menus that callers had learned to bypass. Ciklum replaced it with Boost.ai's LLM-driven virtual agent that identifies intent in real time and routes calls accurately. Where interactions can be resolved automatically, they are. Where an agent is needed, Boost.ai passes the full conversation context to AWS, so the agent has the full picture and the customer never has to repeat themselves. Identity verification was built directly into this flow, so it could no longer be skipped

Dashboard interface icon for AI agents system
A Single Interface for Agents

Agents were juggling multiple tools to handle one call. The new Single Pane of Glass (SPoG) pulls live CRM data, provides real-time call transcriptions, and automatically creates service cases upon completion. Agents spend less time entering data and more time resolving issues.

Power BI dashboard icon with bar chart and upward trend line in blue and green.
Restructuring the Analytics Pipeline

Reporting was slow, expensive, and incomplete. Ciklum rerouted interaction data through Snowflake, feeding it directly into Power BI. The result is live dashboards covering service levels, customer sentiment, and data that was previously inaccessible or unreliable.

Gear icon representing integrated system architecture
Integrated System Architecture

Every integration was chosen to remove a specific failure point, not to add features. ClientSpace for CRM access, WorkSight for employee data, Microsoft Teams for presence, and Lumen SBCs for call routing. This led to a clear, coherent system where no interaction falls through the cracks.

04

BUILT ON BEST-IN-CLASS INFRASTRUCTURE

Amazon Connect logo
AWS Lambda logo
Azure Entra ID logo
Boost ai logo
Microsoft Teams logo
graphql logo
Power BI logo
Snowflake logo
SQL logo
05

TARGETED OUTCOMES

~ 0 %

target automation of inbound enquiries

0 %

of calls answered within 20 seconds

0 secs

wrap-up time reduction via AI & automation

0

core system integrations eliminating critical handoff failures in contact centre

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