Skan AI For Contact Centers

# Map contact center operations, cut handle times and costs

[Request a demo](/request-demo)

Reduction in cost per call for a Fortune 250 insurance provider

90%

90%

Increase in workforce capacity for a Fortune 100 healthcare payer

20%

20%

Reduction in call processing time for a Fortune 250 financial services firm

45%

45%

![Focus Icon](https://cdn.sanity.io/images/3xg3qj5k/production/e8605089e46c0bd0fdd99f3db3ab303bc9e316e6-45x46.svg)

### Standardize on your team's best work

Identify the most efficient call handling patterns and replicate best practices.

![Focus Icon](https://cdn.sanity.io/images/3xg3qj5k/production/e8605089e46c0bd0fdd99f3db3ab303bc9e316e6-45x46.svg)

### Cut after-call work and handle times

Reduce after-call work by up to 40% and cut average handle time by up to 30%.

![Focus Icon](https://cdn.sanity.io/images/3xg3qj5k/production/e8605089e46c0bd0fdd99f3db3ab303bc9e316e6-45x46.svg)

### Increase first-contact resolution rates

Identify root causes behind call transfers and solve cases faster.

Uncover how the best work happens and make it the new standard

## Uncover how the best work happens and make it the new standard

-   Prioritize
-   Transform
-   Scale

See what’s slowing your agents down: handle time, after-call work, and transfers

-   [Explore Blueprint](/blueprint)

![Featured Media Placeholder](https://cdn.sanity.io/images/3xg3qj5k/production/edfc55b422de068a73d2812be26a15d0c6c68a9e-1047x687.svg)

-   Use work observation to inform existing turnover diagnostics so you can see how inefficient processes impact the agent experience.
    
-   Analyze handle-time root causes to identify what’s costing agents the most time during and between calls
    
-   Determine where the most time is wasted on after-call work to map transformation priorities onto your roadmap.
    

Turn your best agents’ work into standardized processes for your team

-   [Explore Process Intelligence](/process-intelligence)

![Differentiate high-performance work](https://cdn.sanity.io/images/3xg3qj5k/production/af5aff444d1b36ecae9d30d221004e395b1f9d49-660x211.svg)

Differentiate high-performance work patterns and determine how to incorporate insights into process design

![Detect friction points](https://cdn.sanity.io/images/3xg3qj5k/production/ecdfd9889bc1ebd08531c13788a2fa6797062c37-366x319.svg)

Detect friction points like frequent app switching or call transfers to identify how to improve processes and training.

![Track performance metrics](https://cdn.sanity.io/images/3xg3qj5k/production/6321703df7b404c62a5133a702076224553aee1f-366x319.svg)

Track performance metrics like first-contact resolution rates to evaluate the success of transformation efforts over time.

Extend optimized and automated processes across contact center teams

-   [Explore Agents](/agents)
-   [Explore the Context Graph of Work](/context-graph-of-work)

![Featured Media Placeholder](https://cdn.sanity.io/images/3xg3qj5k/production/1c336af2d8868f0847d8ace6aadaa19d70b8143f-1047x687.svg)

-   Capture full operational context in a Context Graph of Work that keeps agentic transformation grounded in reality.
    
-   Deploy AI agents trained on real contact center work so they can handle exceptions and edge cases.
    
-   Continuously track performance and establish new baselines to keep improving work and measure ROI.
    

Stop chasing productivity metrics, see what your workforce can really do

## Stop chasing productivity metrics, see what your workforce can really do

[Learn more about security](/security-trust-and-transparency)

![AICPA SOC2 Logo](https://cdn.sanity.io/images/3xg3qj5k/production/b612005c774d3e31d65b499cf106225845b37bd3-84x84.svg)

![ISO Logo](https://cdn.sanity.io/images/3xg3qj5k/production/fd53a9ea84472acd60057d7ff97071f1adeea33c-78x79.svg)

![GDPR Logo](https://cdn.sanity.io/images/3xg3qj5k/production/0b81211035bd1661703e5e85dfc9c73e6f40f1f3-81x81.svg)

![CCPA Logo](https://cdn.sanity.io/images/3xg3qj5k/production/4db1c5a60f63578d579d64471771b55b32d5a2dd-80x80.svg)

![HIPAA Logo](https://cdn.sanity.io/images/3xg3qj5k/production/453e601bc5e27cb443052e3c85d3e7e6768d360b-101x54.svg)

![iso 42001](https://cdn.sanity.io/images/3xg3qj5k/production/680b6fc9f3d4465494d0b6ec9dc35740d1b5bbd5-120x120.svg)

Frequently asked questions

## Frequently asked questions

How does Skan AI protect sensitive customer data?

Skan AI observes process flows without capturing sensitive content. All images captured are masked and stored locally so your organization maintains complete control and stays in compliance with privacy regulations.

Will our agents feel like they’re being monitored?

No, Skan AI platform is not designed for productivity monitoring or individual performance evaluation. All process data captured is anonymized by default and used to inform process improvement and standardization.

How is Skan AI’s approach to observing contact center work different from our current process mining tools?

Skan AI captures work in all applications, including non-integrated systems. For contact centers, this comprehensive work observation is important as it ensures work activity in both cloud and legacy systems (e.g., CRMs, contact center software, workforce management, quality monitoring) is completely captured instead of relying on event logs, documentation, or SME interviews.

We’ve tried desktop monitoring tools before. What makes Skan AI better?

Most desktop tools capture snapshots or can't scale beyond small teams. Skan AI continuously monitors work across thousands of agents and dozens of teams at once, capturing every action across every application. That data is then turned into patterns and insights into what behavior leads to higher productivity and better outcomes so you can see the hidden workflows that make top performers shine.

Our contact center spans multiple countries and systems. Can Skan AI handle this?

Yes. Skan AI scales to thousands of users across any location. We don't need integration with your systems, so we can observe work across all your global teams and show you which process variants are more efficient or more effective and why.

What specific metrics can Skan AI help improve in our contact center?

Skan AI directly impacts your key contact center metrics including:

-   Average Handle Time (AHT) by reducing unnecessary steps and application switching
-   After-Call Work (ACW) time by identifying automation opportunities
-   First Call Resolution (FCR) by showing how top performers solve issues the first time
-   Cost per call by identifying more efficient workflows

How does Skan AI find savings that our current tools miss?

Skan AI platform helps your organization build a digital twin of operations that shows exactly how work happens across all applications. We commonly find:

-   Excessive application switching (often 40+ times per case)
-   Hidden steps in non-integrated systems
-   Unnecessary workarounds your best agents don't use
-   Repetitive tasks perfect for automation

What makes Skan AI better than our current approach of having supervisors observe agents?

Manual observation is limited by sample size, human bias, and the Hawthorne effect (i.e., people working differently when watched). Skan AI objectively observes thousands of agents continuously, finding patterns humans can't see. Our customers typically identify 30% efficiency improvements beyond what manual studies find.

Can Skan AI integrate with existing contact center technology?

Skan AI requires no integration with your existing systems. Our lightweight agent observes all applications but doesn't interact with them. This means quick deployment without IT complexity. You can keep all your current tools while gaining new insights about how they're used.

How long does implementation take?

Typically, Skan AI engagements for contact center optimization take 2-8 weeks from kickoff to initial insights.

-   [
    
    ![Avinash Misra picture](https://cdn.sanity.io/images/3xg3qj5k/production/f4d5d1a8c70a4a56a98d7de07a71b16760e789be-2048x1360.jpg?q=80&fit=max&auto=format)
    
    Blog postAug 12, 2026
    
    5 mins
    
    ### The Context Enterprise AI Is Missing: How Work Actually Gets Done
    
    
    
    ](/blogs/the-context-enterprise-ai-is-missing-how-work-actually-gets-done)
    
-   [
    
    ![Why Process Intelligence Is the First Step to Fixing Payer Revenue Cycle](https://cdn.sanity.io/images/3xg3qj5k/production/8df7477479f5dcde54356848516fe345ce43f87b-736x491.jpg?q=80&fit=max&auto=format)
    
    Blog postJul 10, 2026
    
    9 mins
    
    ### Why Process Intelligence Is the First Step to Fixing Payer Revenue Cycle
    
    
    
    ](/blogs/why-process-intelligence-is-the-first-step-to-fixing-payer-revenue-cycle)