Skan AI

Skan AI AI-Powered Process Intelligence Platform: Enabling the modern enterprise to understand the true nature of work.

Every CX leader has an agentic AI mandate. Almost none have the visibility they need to decide which workflows agents sh...
06/16/2026

Every CX leader has an agentic AI mandate. Almost none have the visibility they need to decide which workflows agents should actually run.

Come visit our expert team at Customer Contact Week Las Vegas, June 24-25, to talk through some of the biggest agentic AI questions contact center and CX leaders face today. We look forward to seeing you at booth 1608.

https://hubs.ly/Q04lcgC40

Claude Mythos can find and exploit vulnerabilities in minutes, but the human InfoSec operation might not respond for day...
06/15/2026

Claude Mythos can find and exploit vulnerabilities in minutes, but the human InfoSec operation might not respond for days, or even weeks.

By observing global InfoSec functions, we’ve found that up to 80% of a security patch cycle is attributed to structural wait times.

In other words, teams have the technical competence and resources to act faster, but the operational process itself is effectively slowing them down.

This is not what any CISO wants. In fact, the introduction of Mythos has made the act of ignoring any gaps in the operational observability of the InfoSec function a board-level risk that must be addressed.

Read this blog post by our Chief Customer Officer, Vinay Mummigatti, to learn how CISOs can close this gap by gaining continuous, comprehensive visibility of how their security operations run across every application, geography, and shift boundary, every day.

https://hubs.ly/Q04lqLVy0

For years we’ve been watching how individuals at some of the world’s largest companies perform their work at a very gran...
06/11/2026

For years we’ve been watching how individuals at some of the world’s largest companies perform their work at a very granular level. Why? Because we believe that to build out successful AI agents, they need to be trained on the specific tasks that each person does in the role.

But we also know that there is so much we don’t yet know about how workers make decisions in their roles, and how this impacts the future of AI in their jobs.

So we're delighted to share that today we’re taking this observation to the next level, launching a research collaboration with the University of Missouri to study knowledge work in the age of AI.

This is exciting news for Skan AI, as it’s a great opportunity to understand more about how professionals make decisions, how judgment is applied in hybrid human-AI workflows, and how to build AI you can trust to operate in complex, highly regulated enterprise environments.

Tanu Malik, Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri-Columbia, commented:

“This collaboration enables us to combine large-scale empirical observations with rigorous scientific inquiry to better understand - and ultimately improve - how work is done.”

Read the full announcement below.

https://hubs.ly/Q04l2Lm30

You need to ask this question when deploying AI agents into complex enterprise processes:Where, exactly, is your source ...
06/10/2026

You need to ask this question when deploying AI agents into complex enterprise processes:

Where, exactly, is your source data coming from?

This matters because even a 1% gap between what you observe and how work really gets done in your organization can compound to a ~40% agent failure rate in production.

There are countless ways those differences can manifest themselves that won’t be picked up by SOPs:

- How new vendor invoices are handled vs existing ones

- Quarter-end behavioral shifts in your compliance team

- The 40-second cross-reference check one of your experienced processors carries out before an approval

Crucially, the impact of these differences isn’t felt most acutely in routine tasks, but in the exact exceptions and edge cases where the stakes are highest.

The solution lies in having better context and is the basis of our Agentic Business Context Foundation (ABCF) approach.

Our ABCF whitepaper outlines the framework for your organization to close these gaps and ensure the intelligence you train agents on is right from the start.

Download it today, and dig in to all the details.

https://hubs.ly/Q04kLZ0y0

Many contact center and CX leaders piloting agentic AI are stuck on this same question:What should an agent own, and wha...
06/09/2026

Many contact center and CX leaders piloting agentic AI are stuck on this same question:

What should an agent own, and what still requires human intervention?

We're hosting a closed-door executive lunch at Customer Contact Week Las Vegas on June 24 to work through this challenge. The lunch will include a small group of CX and contact center leaders sharing candid takes on what's working, what's stalling, and practical advice on what’s next.

Request a place at the table with Aman Rangrass and the team below.

Drop by booth 1608 on June 24-25 if you’d like to meet us there too.

https://hubs.ly/Q04ksgV60

Whenever execs talk to us about the challenges they have building out their AI agents, it always seems to boil down to t...
06/03/2026

Whenever execs talk to us about the challenges they have building out their AI agents, it always seems to boil down to this one issue:

They thought they could train the agents based on the Standard Operating Procedures (SOPs) they’ve created for their teams.

But (and often with good reason), employees rarely follow those procedures to a letter. The SOPs may not account for the Excel detour someone takes because the tool they work in can't run a certain calculation. Or having to switch between their email tool and their claims processing software 18 times.

We’ve identified that the gap between what’s written down and how the team really does its job is one of the primary reasons agentic pilots can’t scale.

And that's why we've been working on a different concept entirely: the Agentic Operating Procedure, or AOP.

Think about it this way: an SOP is a rulebook. An AOP is a playbook. A rulebook tells you what should happen but a playbook shows you how the game is actually played.

The AOP is built from live observation of real work happening on real desktops, and it captures not just the steps, but the reasoning behind them.

If you're thinking seriously about deploying AI agents to work on complex processes, this is the most important concept to get right before you scale. Our Aman Rangrass wrote more about it here:

https://hubs.ly/Q04jXL3z0

We'll be at Customer Contact Week Las Vegas, June 24-25.Find the Skan AI team at booth 1608, ready to talk through the a...
06/02/2026

We'll be at Customer Contact Week Las Vegas, June 24-25.

Find the Skan AI team at booth 1608, ready to talk through the agentic AI challenges facing contact center leaders today.

We're also hosting a closed-door peer roundtable lunch on June 24 for senior customer operations and contact center leaders.

Details below - book a meeting with the Skan AI team and/or join our peer roundtable lunch.

Looking forward to seeing you there!

https://www.skan.ai/events/ccw-las-vegas-2026

Gartner predicts 85% of enterprises won’t reach expert-level AI autonomy by 2028. Why? Because most organizations deploy...
06/01/2026

Gartner predicts 85% of enterprises won’t reach expert-level AI autonomy by 2028.

Why? Because most organizations deploy AI before they’ve put the foundations for success in place.

So to help you create that platform for AI success, we've released our Enterprise AI Maturity Guide, a step-by-step roadmap to ensuring the fundamentals are in place.

You'll learn:

➤ Where your organization really sits on the maturity curve today.

➤ Where the capability gaps actually surface.

➤ What the proven roadmap to agentic AI excellence looks like for healthcare payers, insurance carriers, and tech enterprises specifically.

Download it today.

https://hubs.ly/Q04jz7VK0

05/28/2026

Most banks can't deploy agentic AI effectively because they don't have full visibility of how work really gets done inside their own walls.

That was the through-line of Guy Mettrick's conversation with Fintech Finance News at Banking Transformation Summit 2026: why banking's complexity poses a major challenge to agentic AI projects, and what changes when you ground agents in process reality instead of process documentation.

If your organization’s agentic AI initiatives are getting stuck in the pilot phase, you’re not alone. In fact, 80% of e...
05/26/2026

If your organization’s agentic AI initiatives are getting stuck in the pilot phase, you’re not alone.

In fact, 80% of enterprise agentic AI projects don’t get beyond the proof-of-concept stage, and that could mean missing out on 50-75% productivity gains and $10M-30M in annual savings.

Read our white paper to guide you through the four-phase roadmap to transform these experiments into ROI, using process intelligence as the foundational layer to train AI on how your organization actually works.

Backed by data points from real enterprise deployments, this is essential reading for anyone tasked with driving real value from agentic AI.

https://www.skan.ai/whitepapers/four-phase-roadmap-from-process-discovery-to-agentic-automation

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