Evidence on how work actually happens.
Articles, whitepapers, and case studies on agent-ready process intelligence, automation discovery, and IT cost optimization.
How to Make a Claude Agent Follow Your Company's Real Process
You put real budget into Claude, but it still runs a generic version of your work. This is how you ground a Claude agent in how your business actually operates, exceptions included, so it automates the real process instead of the textbook one.
↗Process Mining vs. Task Mining: Why Neither Gives AI Agents What They Need
Process mining reads system logs. Task mining records desktops. Neither produces the operational context that AI agents need to act. This paper explains the gap and introduces a third approach.
↗WhitepaperThe Operational Context Layer: A Reference Architecture for the Agentic Enterprise
Gartner called 2026 the Year of Context. This paper defines the operational context layer, explains where it sits in the enterprise AI stack, and lays out the components a working implementation needs.
↗WhitepaperProcess Discovery Without Interviews: Why Observation Beats Workshops
Interview-based process discovery produces maps that are clean, confident, and wrong. This paper explains why, and how observation-first discovery captures the process as it is actually performed.
↗Case StudyHealthcare Revenue Cycle: Finding the Work Between the Systems
A regional health system's revenue cycle team could not explain why claim denials kept rising. Observation-first capture across the EHR, billing platform, and payer portals showed exactly where the work was breaking, and where an agent could safely take over.
↗WhitepaperAre Your Processes Agent-Ready? A Readiness Framework
Most AI agent pilots fail on process readiness, not model capability. This framework gives operations and automation leaders five criteria to assess whether a process is ready for an agent, and what to do when it is not.
↗Case StudyShared Services Procure-to-Pay: One Process, Six Countries, Zero Standard
A global shared services center ran Procure-to-Pay for six countries and could not say why invoice cycle times differed so widely between them. Observation across every desktop showed six different processes wearing one name, and which one to standardize on.
↗ArticleWhy AI Agents Stall — and How Ground-Truth Context Fixes It
Most enterprises deploy AI agents on top of static process maps and outdated SOPs. Here's why pilots stall, and what 'agent-ready context' actually means.
↗ArticleThe Hidden Cost of Swivel-Chair Workarounds
20%+ of enterprise work happens off the books — in email, Excel, and copy-paste bridges between apps. How to find it before it walks out the door.
↗WhitepaperFrom Process Mining to Agent-Ready Intelligence
A technical deep dive on how edge UI telemetry plus an LLM 'Process Brain' replaces heavy log pipelines and static PDFs with deployable agent code.
↗Case StudyHow a Midsize Insurer Found $4.2M in Hidden Friction
A 1,200-person insurance team used ground-truth process capture to find swivel-chair friction and underused software — and acted on it in six weeks.
↗Case StudyBanking Compliance: From Quarterly Audits to Continuous Evidence
A regulated bank replaced point-in-time audits with real-time, auditable evidence that regulated processes match policy — without more headcount.
↗REQUEST DEMO
See your real process, today.
Fill in your email. We'll set up a live walkthrough.