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Skan AI For Technology

Uncovering work context for tech organizations

Skan AI gives you the work observation, analysis, and context to find bottlenecks and their root causes, so you can improve productivity and accelerate AI transformation.


Trusted by 1 in 4 of the Fortune 50

OpEx savings in customer service for a Fortune 50

$13M

Improvement in processing time

45%

Reduction in average time spent per case

34%
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Drive engineering productivity

Standardize your team’s best work, then automate with AI to cut variability and turnaround time.

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Optimize the customer experience

Reduce rework so customers spend less time waiting on responses and resolutions.

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Scale operational excellence

Close context and governance gaps so you can safely use agentic AI across your organization.

Why is Skan AI the right choice for tech companies?

Engineering

Accelerate engineering by automating repetitive work

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  • Capture how developer teams spend time across every tool in your stack, including cloud apps and legacy systems.
  • Pinpoint process inefficiencies and the highest-volume, most repetitive tasks.
  • Use productivity index scoring to see the biggest bottlenecks and where work is lagging the most.

Customer Experience

Resolve customer requests faster and cut support costs

customer lifecycle

See how work is done across the entire customer lifecycle, from sales and onboarding to case handling and renewals.

Observe which work patterns

Observe which work patterns and process variants lead to faster resolution, and set the baselines to improve from.

Identify automation opportunities

Identify automation opportunities and build a transformation roadmap, with dollar estimates for each.

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"We've seen that there's one clear differentiator between companies that have thriving agents and those that don’t — the successful ones have AI that truly understands how every process is done. That is exactly what Skan AI has built. Their Context Graph of Work lifts AI from being an assistant into a transformational powerhouse that can act with real judgment, at scale, with governance built in."
Nagendra Bandaru,
CEO, Wipro AI-Native Business and Platforms

AI Transformation

Turn automation opportunities into a practical path to agentic ROI

  • Observe work

    Observe work, set baselines, and identify opportunities for AI investment across teams, domains, and departments.

  • Prioritize and execute transformation

    Prioritize and execute transformation efforts where they’ll have the greatest business impact.

  • Build AI agents

    Build AI agents from your optimized processes, trained on verified operational context, so you can deploy with confidence.

Frequently asked questions

Skan AI observes the human interaction layer through computer vision, so the platform captures work across modern cloud tools and legacy platforms within the same unified view.

Yes, Skan AI has helped insurance organizations save millions in annual customer support operating expenses by:

  1. Identifying tasks with high volume, inefficient steps, and productivity gaps in process variants (e.g., frequent app-switching, unnecessary number of handoffs)
  2. Establishing performance metrics and process baselines to measure the success and impact of automation and optimization efforts
  3. Standardizing best practices across customer service processes and optimizing for faster case resolution

No. Those tools monitor system performance, whereas the Skan AI platform observes and helps optimize the work and decision-making that happens on top of those systems.

Client onboarding, AML, KYC, lending operations, account servicing, payments, compliance and risk management, and shared services all benefit, across both customer-facing and back-office processes.

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