Mindflow

If your ticketing workflows still depend on humans copying data between tools, the issue is not process. It’s integration depth. Ideas, incidents, customer requests, internal tasks. They sit in different systems. When integrations are shallow, automation stops at ticket creation. A ticket is opened. Then someone has to push it forward manually. Ticketing only scales when every status change, field update, comment, and assignment is accessible through the API. Full read and write coverage. Not just “create ticket.” @Atlassian Product Discovery · @GoIvanti Cherwell · @HubSpot Tickets · @Zendesk · @trello

Compliance work has a talent for hiding in 14 tools, 37 Slack threads, and one spreadsheet named “final_final_v3.” Not ideal 😵‍💫 This week’s AI Agents carousel shows 5 agents built to keep audits, contracts, continuity plans, and risk workflows moving without the chaos. Less chasing, less guessing, and fewer “who owns this?” moments. Swipe through the agents.

Tomorrow, 4 PM CET. LinkedIn Live. Umberto MATTEI and Ruben Gueunoun are walking through Zero-Touch ITSM Resolution with Agentic AI, a real workflow, built and presented by the people who built it. Bring your questions. 🔗 Join here: linkedin.com/events/7453453…

If your endpoint protection workflows stop at alerts, the issue is not detection. It’s integration depth. EDR signals, antivirus events, file integrity, network controls, phishing data. They live in different systems. When integrations are shallow, automation stops at isolation. You can flag the endpoint. You can’t coordinate the full response. Endpoint protection only scales when containment, remediation, validation, and follow-up actions are fully executable through APIs. Full read and write coverage. Not alerts. Not manual playbooks. Trellix MVISION EDR · Kaspersky · Acronis Notary · pfSense · Fortra Agari

Measuring Agentic AI is genuinely tricky; it's not like measuring traditional automation. So we put together a framework we think makes sense: 15 metrics across three dimensions, the leverage agents create, the trust they build over time, and how you spot drift before it becomes a problem. Full breakdown in the blog: mindflow.io/blog/metrics-t…

Umberto from Mindflow and Ruben from Siit work with IT teams to elevate their operations. On May 19, they're going live on LinkedIn to walk through one of these workflows. The focus: Zero-Touch ITSM Resolution with Agentic AI, a real workflow, from the moment a ticket is submitted to the moment it’s resolved. AI agents handle operational tasks, while humans remain in control when decisions matter. Siit brings the employee context; Mindflow orchestrates the agents. They’ll also cover other ITSM automation use cases they work on in the field, the teams building them, and where agentic workflows are making a difference. 📅 May 19, 2026. 4:00 PM CET 🔗 Register here: linkedin.com/events/7453453…

Your tool “integrates with everything.” (Everything = 12 tools.) At Mindflow: If it has an API, it’s integrated. That’s it. Currently 4341 and counting.…

If your DevOps automations still rely on manual steps, the problem is not tooling. It’s API depth. Pipelines, logs, cloud resources, tokens, and risk signals sit across different systems. When integrations are partial, automation stops at notifications. You get alerts. You don’t get action. DevOps at scale requires full read/write access across your stack. Search, token rotation, cloud operations, risk checks. All executable. Not screenshots. Not exports. Real API coverage. @exabeam Search · @databricks Token Management · 3DS OUTSCALE · @Trellix MVISION · @UpGuard CyberRisk

Most “automation” fails at the handoff? Enterprise teams do not work in silos, and automation should not either. Most friction comes from poor handoffs between tools and teams. Mindflow connects existing stacks across functions and improves how work flows between them. Start with one agent or coordinate many, each with a clear role. From there, automation naturally expands to ITOps, CloudOps, enterprise operations...That is how modern enterprises are built. Step by step, toward real hyperautomation.

Most “automation” fails at the handoff? Enterprise teams do not work in silos, and automation should not either. Most friction comes from poor handoffs between tools and teams. Mindflow connects existing stacks across functions and improves how work flows between them. Start with one agent or coordinate many, each with a clear role. From there, automation naturally expands to ITOps, CloudOps, enterprise operations...That is how modern enterprises are built. Step by step, toward real hyperautomation.

Your SOC team just got a new addition. It’s called Neo. In this demo, Neo, the incident responder agent, coordinates a swarm of AI agents to handle security investigations end-to-end. It decides which agents to call, gathers context across tools, correlates findings, and produces a structured investigation with next steps. Behind it: • Threat intelligence enrichment • Activity analysis across systems • Communication checks • Ticket creation All orchestrated through a controlled, auditable multi-agent system. Watch the full video on YouTube: youtube.com/watch?v=Ad9fs0…

If your data security automations are still brittle, the issue is not detection. It’s integration depth. Access risk, identity signals, user context, and external exposure data often live in separate tools. When integrations are shallow or incomplete, automation stops at visibility. You can see the risk. You can’t act on it. Data security only scales when identity, access, and exposure data are fully accessible through APIs. That means full read and write coverage. Not dashboards. Not exports. SailPoint Access Risk Management · Kaspersky · Imperva User Management · Microsoft Graph Identity · ONYPHE

Less talk, more build. Umberto (Mindflow) and Ruben (@siitapp) are hopping on LinkedIn Live on May 19 to show you Zero-Touch ITSM Resolution with Agentic AI. A real agentic workflow, built by them and walked through by them, from ticket submission to ticket resolution. 📅 May 19, 2026, 4:00 PM CET Register here: linkedin.com/events/7453453…

If your cloud security workflows still rely on switching between consoles, the issue is not visibility. It’s integration depth. Traffic controls, access policies, threat signals, logs, and behavior analytics. They live across different platforms. When integrations are shallow, automation stops at detection. You can see the anomaly. You can’t enforce the response. Cloud security only scales when policy updates, traffic controls, detections, and response actions are fully executable through APIs. Full read and write coverage. Not dashboards. Not alerts alone. Netskope · Zscaler · Imperva SIEM · Logpoint XDR · Lacework Polygraph

How to build a culture of Automation at enterprise scale? Teams buy platforms, skip change management, and wonder why no one uses the workflows they built. They automate in silos, measure the wrong things, and treat automations as one-time projects instead of living systems. The enterprises winning at automation aren't the ones with the most tools. They're the ones where every analyst, engineer, and ops lead thinks, "Can we automate this?" before doing it manually. That shift doesn't happen overnight. But it compounds fast. Full breakdown on our blog: mindflow.io/blog/culture-o…

If your application management still depends on manual approvals and fragmented tooling, the issue is not process. It’s integration depth. App connectivity, service tickets, API gateways, service mesh configs, data streams. They live in different systems. When integrations are shallow, automation stops at provisioning. You can request access or changes. You can’t execute them end-to-end. Application management only scales when policy enforcement, service configuration, API control, and data flow operations are fully executable through APIs. Full read and write coverage. Not tickets. Not manual handoffs. @TufinTech SecureApp · @GoIvanti Cherwell · Azure API Management · AWS App Mesh · @lensesio

GRC teams don’t need another dashboard. They need faster, consistent analysis. In this demo, Umberto MATTEI, Solution Designer at Mindflow, demonstrates how AI agents handle end-to-end contract compliance and gap analysis. Upload a contract → Compare it against multiple frameworks → Get a structured analysis with risks, scores, and remediation steps. Watch the full use case on YouTube: youtu.be/qdz2XgzTliQ?si…

Practices that separate production-grade AI agents from expensive prototypes. Read the full breakdown: mindflow.io/blog/the-produ…

If your credential management still relies on manual reviews and periodic cleanups, the issue is not policy. It’s integration depth. Tokens, identities, user permissions, service accounts, access relationships. They live across multiple systems. When integrations are shallow, automation stops at visibility. You can audit access. You can’t enforce it in real time. Credential management only scales when provisioning, deprovisioning, token rotation, and access updates are fully executable through APIs. Full read and write coverage. Not audits. Not spreadsheets. @Databricks Token Management · @Imperva User Management · @Microsoft Graph Identity · @Acronis Account Management · Veza

Umberto MATTEI, Solution Designer at Mindflow, shows how AI··Agent swarms handle security alert investigations end-to-end. A lead incident responder agent orchestrates multiple specialized agents to: · Analyze alerts across systems · Enrich context with threat intelligence · Correlate findings · Generate a structured investigation report · Recommend next steps or create a ticket Each action is controlled, auditable, and tied to specific integrations. The result is a faster, more consistent way to investigate alerts without manual back-and-forth across tools. Watch the full use case on YouTube: youtu.be/Ad9fs03EVS4?si…