Skan AI

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

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

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.

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

05/21/2026

We're proud to share that Skan AI has been recognized by Gartner across three separate research publications:

✅ Honorable Mention - Gartner Magic Quadrant for Process Intelligence Platforms

✅ Representative Vendor - 2026 Gartner Market Guide for Task Mining Tools

✅ Featured - Gartner Innovation Insight on AI Agent Mining

But here's what we think matters more than the recognition itself. Gartner explicitly flagged that vendors lacking native task mining have a capability gap. That caution was applied to some of the most established names in process intelligence.

The message is clear: desktop-level observation has shifted from optional to foundational.

It's easy to understand why. You can't build a reliable AI agent on incomplete data. Event logs tell you what the system recorded. Task mining tells you what the human actually did. It includes the workarounds, the judgment calls, the exceptions that never make it into any log.

Skan AI was built around this insight from day one. While others are scrambling to bolt on task mining as an afterthought, our platform was architected from the ground up for continuous, 100% work visibility across every application employees touch.

The path to reliable enterprise AI runs through operational reality.

We're grateful for the validation, and even more energized about where we're headed.

🔗 Learn more at https://hubs.ly/Q04hwBdr0

05/20/2026

Every bank can spin up an AI agent overnight. Few can run one in production at scale.

How to tackle that scale-to-production gap sat at the center of the conversation between Skan AI CEO Avinash Misra and Lloyds Banking Group CIO, Insurance, Pensions & Investments, Amit Thawani at the Banking Transformation Summit in London yesterday.

Avinash and Amit discussed the challenges facing the banking industry, where probabilistic AI models meet the realities of a deterministic environment.

For decisions like loan approvals or insurance claims, judgment and context are critical. They covered key decisions, from developing agents in a regulated environment through to ownership of data, processes and AI agents.

A huge thank you to Amit for joining Avinash on stage and bringing such depth of real-world experience to the conversation. Skan AI was proud to sponsor and exhibit at the Summit. We'll be sharing the full recording soon, so follow this page to catch it when it drops.

05/14/2026

If your bank has tried to deploy AI and watched it stall somewhere between the demo and going live, you're not alone. There's a specific reason it keeps happening.

On May 19th at 4:25pm at the Banking Transformation Summit in London, Skan AI's Co-Founder & CEO Avinash Misra sits down with Amit Thawani, CIO Insurance, Pensions & Investments at Lloyds Banking Group, to get to the root of the problem: AI and banking are fundamentally wired differently.

Banks run on precision (fixed rules, strict controls, zero tolerance for ambiguity) while AI works in probabilities. That gap is exactly where most AI projects go to die.

Avinash and Amit will explore how to bridge that divide, what it takes to make AI actually work within the constraints of a regulated institution, and - critically - who's accountable when AI starts making real decisions.

Register now: https://hubs.ly/Q04gCdR30

05/12/2026

Back in March, we shared that Skan AI CEO Avinash Misra was joining Jan Malmendier, COO of Allianz Versicherungs-AG, on the main stage at Insurtech Insights London for a conversation titled "How Allianz is Finding the Happy Path to Customer Value."

The session is now live on-demand.

For anyone who couldn't make it to London, or anyone who wants a refresher on what was covered, the full conversation is worth your time. Jan and Avinash discuss how Allianz gained a deeper understanding of how customers interact with the company, and how this knowledge will help build a strong context layer that they can use as a foundation for their AI initiatives.

Watch now 👉 https://hubs.ly/Q04gfSD90

Discover how Skan AI leverages first-party process data to optimize insurance operations and train AI agents for faster claims and smarter underwriting.

05/06/2026

LIMRA Workplace Benefits 2026 is a wrap, and the conversations we had made it clear that executives in the industry are done debating whether AI belongs in the stack.

Now they’re asking these key questions:

- Where do we deploy AI first, and how do we prove the impact to our CFO?

- How do we keep policyholders safe from AI-driven harm, and who owns those guardrails?

At the booth, in our session, and over our executive dinner, nearly every conversation we had focused on those questions.

We’ve been working with benefits providers to answer both of these questions. If you’d like to discuss how your organization can answer them, drop a comment below. Our experts will follow up directly.