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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

~400,000

calls transcribed in Q1 2026 (up from 0)

4.2%

of calls audited, up from 1.2%

~150,000

written communications automatically summarized

5.3%

of written communications audited, up from 1%

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.

Source: Galp

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.

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