customer success story
How Galp Transformed Contact Center Quality Analysis from Manual Sampling to Full AI-Powered Coverage
An AI-driven quality analysis solution helped Galp move from manual, sample-based auditing to full-coverage analysis across voice and written interactions, accelerating incident detection and elevating service quality.
results in figures
About Galp
Galp is one of the leading players in the Public Utilities sector, with an established presence across the entire energy value chain, from production to the supply of electricity, natural gas, fuels, electric mobility, and renewable solutions.
With a strong focus on customer experience, Galp operates several outsourced contact centers, managing a high volume of daily interactions across voice, email, digital forms and chat, including support for its reseller network and physical stores.
The Sector
For an energy company like Galp, a contact center support solution must meet a demanding set of requirements.
- High-precision NLP in European Portuguese
Essential given the diversity of customers and the technical nature of the topics handled. - Native system integration
Seamless connection with CRM, ERP and reporting tools. - Large-scale analysis
Capable of handling thousands of monthly contacts. - Compliance and data protection
Full alignment with GDPR and the AI Act. - Fast critical topic detection
Automated identification of outages, billing, meter readings, electric mobility and other key touchpoints. - Actionable insights
Directly applicable to processes, training and CX improvement.
Challenges
Before implementing PCA, Galp faced limitations typical of large-scale contact center operations, which made it difficult to gain a true, timely view of performance.
- Delayed incident detection
Product and service "alarms" often took several days to identify and act on. - Limited auditing coverage
Small manual sampling didn't reflect the real scale or diversity of the operation. - Inability to scale during peaks
Volume spikes in calls or written interactions couldn't be matched by proportional auditing. - Slow pattern recognition
Emerging trends and shifts in customer behavior were hard to detect in time. - No automatic summarization
Manual review of voice and email interactions was time-consuming.
“Post Contact Analytics (PCA) has allowed us to significantly elevate our ability to analyze and monitor the contact center. Today, we have a cross-cutting, timely view of what customers are really telling us, enabling us to act faster, train better, and continuously improve our processes.”
CX & Contact Center Team
Galp
Solution
Visor.AI's Post Contact Analytics (PCA), a GenAI-powered solution with high accuracy in European Portuguese and strong data processing capacity, proved the right fit for Galp. It enabled automatic auditing of post-interaction calls and emails, generated structured summaries, and supported the scorecards used by the quality team to identify critical themes and trends.

Features Used
- GenAI-powered understanding
Natural, human-like interpretation of customer speech. - Full configuration autonomy
Galp can dynamically manage scorecards and analysis models. - Cross-channel extension
Easily extends from voice to email. - Simple integration
Connects seamlessly with GoContact and other internal platforms. - Multilingual support
High accuracy in PT-PT, with support for Spanish and English, adapting to Galp's different geographies. - High-volume processing
Built to handle Galp's large daily volumes of calls and written communications.
Results
The implementation of PCA generated benefits across the organization, moving Galp from small-sample auditing to a much broader, more representative view of the operation.
- Automated auditing
Contributing directly to cost reduction. - 100% call transcription
Ensuring complete, analyzable records (previously nonexistent). - 100% written communication summaries
Full documentation of every customer interaction. - Audit coverage up from ~1% to ~5%
A significantly more representative view of performance. - Reduced manual evaluation time
Freeing teams for higher-value analysis. - Operational impact tools
Including Copilot-driven topic alerts, procedure changes and campaign tracking.
Impact on the Team
- Quality Team (Galp and providers)
More complete, consistent analysis based on a much larger volume of interactions, with greater focus on calibration and process improvement. - Operational Areas
Immediate visibility into constraints and decisions backed by a far more representative sample. - Operations Coordinators
Instant access to interaction summaries and key critical topics, supporting agent training. - Supervisors and Agents
Faster, more objective feedback, with greater clarity on improvement areas and recognition of best practices.
Impact on CX
- Greater service consistency
Supported by improved training and service quality. - Faster response to recurring topics
Enabled by early pattern identification. - Better-aligned communication
Grounded in continuous analysis of real customer context and operational feedback.
Overall Impact on the Contact Center
- Strengthened operational efficiency
Significant reduction in time spent on manual auditing. - Elevated service quality
Across the entire contact center operation. - Accelerated digital transformation
Backed by actionable insights supporting strategic decisions.
Results in Figures
- Calls transcribed (Q1 2026) ~400,000 (previously 0)
- Calls audited (Q1 2026) ~16,500 (4.2%) (previously ~4,896, 1.2%)
- Written communications summarized (Q1 2026) ~150,000 (previously 0)
- Written communications audited (Q1 2026) ~8,000 (5.3%) (previously ~1,521, 1%)
Conclusion
Galp's partnership with Visor.AI transformed the contact center's analytical capability, replacing limited manual sampling with full, AI-powered coverage across voice and written channels. The result is a faster, more consistent and more strategic approach to quality, training and customer experience.
Talk to our team to see how Broadvoice can help you transform your quality operation.
