Skan AI For Engineering

# Untangle the processes blocking your engineering excellence

[Request a demo](/request-demo)

Increase in team productivity in a global high-tech organization

50%

50%

Improvement in workforce utilization in a global high-tech organization

40%

40%

In OPEX savings for a Fortune 100 technology leader

$13M

$13M

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

### See work across the full SDLC

Including utilization across IDEs, repos, Slack, and meetings, all unified.

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

### Uncover and analyze hidden bottlenecks

Pinpoint the root causes behind costly context switching and tool usage patterns at scale.

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

### Quantify productivity impact with precision

With a developer productivity index built on a large, detailed data set.

Gain 5+ hours/week per developer with total SDLC visibility

## Gain 5+ hours/week per developer with total SDLC visibility

-   Prioritize
-   Transform
-   Scale

See exactly where dev time disappears before deciding what to fix

-   [Explore Blueprint](/blueprint)

![Featured Media Placeholder](https://cdn.sanity.io/images/3xg3qj5k/production/b0b46f46f09a5d06f03ee6b37e296c811fed343e-1778x1242.jpg?q=80&fit=max&auto=format)

-   Observe how engineering work flows across tools through the software development life cycle.
    
-   Detect frequent context switching, the top cited blocker of developer productivity.
    
-   Map data silos holding back collaboration across Jira, GitHub, and more.
    

Turn engineering best practices into processes everyone can learn

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

![Gain a single source of truth](https://cdn.sanity.io/images/3xg3qj5k/production/bbbe1d72715e66f81ac6db8e0baab79ea0b85046-1047x687.svg)

Gain a single source of truth that unifies performance analytics across tools

![Quantify engineering productivity](https://cdn.sanity.io/images/3xg3qj5k/production/2c40789f94ea1112c8925cecbc772860912a3d87-366x319.svg)

Quantify engineering productivity over time using rich work context

![Analyze high-performance patterns](https://cdn.sanity.io/images/3xg3qj5k/production/2207e7b7b9445ad39ce1fee056866ce02e59470f-493x319.svg)

Analyze high-performance patterns that drive developer success

Accelerate engineering wins with AI across teams, repos, and regions

-   [Explore Agents](/agents)

![Featured Media Placeholder](https://cdn.sanity.io/images/3xg3qj5k/production/c4296998f6d77193993deb8ca74f1e3a055b46ba-1744x1168.png?q=80&fit=max&auto=format)

-   Help new hires onboard faster with automated training processes.
    
-   Track platform adoption rates to confirm the right tools and agents are in use across teams.
    
-   Continuously reset process performance baselines as teams and tools change
    

Engineering velocity without performance theater

## Engineering velocity without performance theater

[See Engineering Intelligence on Skan AI](/engineering-intelligence)

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

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

Frequently asked questions

## Frequently asked questions

Does Skan AI replace our engineering metrics platform (e.g., DORA dashboards)?

No, Skan AI should be used to complement engineering metrics platforms. The platform adds the human-activity layer on top of those metrics, capturing the activity (e.g., context switching, collaboration overhead) that those tools can’t capture.

How does Skan AI affect developer trust and morale?

Skan AI is not a productivity monitoring tool, and all work captured is anonymized and stored locally from Day 0. Using Skan AI helps fix process and tooling friction, which can help free engineering teams from repetitive tasks and inefficient workflows and give them more time to focus on high-value work.

How quickly will engineering teams see results from using Skan AI?

Typical engagements with Skan AI have taken 4-8 weeks from kickoff to initial insights, and you’ll first start seeing productivity patterns within days of deploying our zero-integration platform.

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