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  <title>Monarch Blog</title>
  <id>https://www.monarchagents.ai/blogs/</id>
  <link href="https://www.monarchagents.ai/blogs/" />
  <link href="https://www.monarchagents.ai/atom.xml" rel="self" type="application/atom+xml" />
  <updated>2026-09-24T00:00:00Z</updated>
  <author><name>Monarch</name></author>
  <subtitle>Practical writing on system access and the infrastructure AI agents need to move from answers to action.</subtitle>
  <entry>
    <title>Mainframes Aren’t Dinosaurs</title>
    <id>https://www.monarchagents.ai/blogs/mainframes-arent-dinosaurs/</id>
    <link href="https://www.monarchagents.ai/blogs/mainframes-arent-dinosaurs/" />
    <published>2026-09-24T00:00:00Z</published>
    <updated>2026-09-24T00:00:00Z</updated>
    <summary>Alex Nauda on mainframe workloads, existing integrations, and bringing agentic workflow development to terminal applications.</summary>
    <category term="Application access" />
  </entry>
  <entry>
    <title>Your next software builder might work in finance</title>
    <id>https://www.monarchagents.ai/blogs/your-next-software-builder-might-work-in-finance/</id>
    <link href="https://www.monarchagents.ai/blogs/your-next-software-builder-might-work-in-finance/" />
    <published>2026-09-22T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <summary>What OpenAI’s non-engineering teams suggest about enterprise work over the next three years.</summary>
    <category term="AI strategy" />
  </entry>
  <entry>
    <title>Monarch Sydney Panel with BCG X and Airtree: When AI Moves Faster Than the Enterprise</title>
    <id>https://www.monarchagents.ai/blogs/leading-through-change-sydney-panel/</id>
    <link href="https://www.monarchagents.ai/blogs/leading-through-change-sydney-panel/" />
    <published>2026-09-09T00:00:00Z</published>
    <updated>2026-09-09T00:00:00Z</updated>
    <summary>Sam Senior, Michael Schniering of BCG X, and Claire Smith on what separates the companies getting returns from AI. Full video and transcript.</summary>
    <category term="AI strategy" />
  </entry>
  <entry>
    <title>Your Business Can Do More Than Your AI Connectors Allow</title>
    <id>https://www.monarchagents.ai/blogs/your-business-can-do-more-than-your-ai-connectors-allow/</id>
    <link href="https://www.monarchagents.ai/blogs/your-business-can-do-more-than-your-ai-connectors-allow/" />
    <published>2026-09-08T00:00:00Z</published>
    <updated>2026-09-08T00:00:00Z</updated>
    <summary>A connector logo does not mean your agents can finish the work. Expect deeper application discovery, reusable execution, and people leading the business change.</summary>
    <category term="Application access" />
  </entry>
  <entry>
    <title>Same model. 23% more workflows completed.</title>
    <id>https://www.monarchagents.ai/benchmarks/</id>
    <link href="https://www.monarchagents.ai/benchmarks/" />
    <published>2026-08-17T00:00:00Z</published>
    <updated>2026-09-08T00:00:00Z</updated>
    <summary>We ran 591 AutomationBench workflows with and without Monarch. Opus 5&#39;s completion rate rose 23%; GPT-5.6 Sol and Kimi K3 improved too.</summary>
    <category term="Reliability" />
  </entry>
  <entry>
    <title>AI Agents for Telecommunications: Recover Orders That Fall Between CRM and Provisioning</title>
    <id>https://www.monarchagents.ai/blogs/ai-agents-telecommunications-order-fallout/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-agents-telecommunications-order-fallout/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>An accepted broadband order can still leave a customer without service. Recovering it means following the work through provisioning, inventory, and billing, then proving the records agree.</summary>
    <category term="Automation" />
  </entry>
  <entry>
    <title>AI Agents for Employee Offboarding: Close the Gaps Across HR and IT</title>
    <id>https://www.monarchagents.ai/blogs/ai-agents-employee-offboarding/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-agents-employee-offboarding/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Carry an approved departure through access removal, work handover, and records preservation, with evidence of what each system actually completed.</summary>
    <category term="Automation" />
  </entry>
  <entry>
    <title>AI Agents for Supplier Delays: Give Planners a Delivery Date They Can Use</title>
    <id>https://www.monarchagents.ai/blogs/ai-agents-supplier-delays/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-agents-supplier-delays/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Follow a late purchase-order line from a supplier&#39;s revised promise through split deliveries, production decisions, and actual receipt.</summary>
    <category term="Automation" />
  </entry>
  <entry>
    <title>AI Agents for Accounts Payable: Resolve the Invoice Exception Before the Payment Run</title>
    <id>https://www.monarchagents.ai/blogs/ai-agents-accounts-payable-invoice-exceptions/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-agents-accounts-payable-invoice-exceptions/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Follow an invoice discrepancy through purchasing, receipts, supplier correspondence, and AP, then verify that the approved correction reached the records that control payment.</summary>
    <category term="Automation" />
  </entry>
  <entry>
    <title>How to Evaluate an Enterprise AI Pilot: A Scorecard for Completed Work</title>
    <id>https://www.monarchagents.ai/blogs/how-to-evaluate-enterprise-ai-pilot/</id>
    <link href="https://www.monarchagents.ai/blogs/how-to-evaluate-enterprise-ai-pilot/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Define which cases enter the pilot, what counts as a useful result, and how you will compare it with today&#39;s operation before the first live run.</summary>
    <category term="AI strategy" />
  </entry>
  <entry>
    <title>AI Agents for Airline Disruption: Close the Gap Between Rebooking and a Place to Stay</title>
    <id>https://www.monarchagents.ai/blogs/ai-agents-airline-disruption-accommodation/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-agents-airline-disruption-accommodation/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Rebooking leaves work across hotel suppliers, ground transport, and case systems. Start with one overnight assistance workflow and verify every arrangement.</summary>
    <category term="Automation" />
  </entry>
  <entry>
    <title>AI Agents for Financial Hardship: Stop Making Customers Repeat Their Story</title>
    <id>https://www.monarchagents.ai/blogs/ai-agents-financial-hardship-operations/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-agents-financial-hardship-operations/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>A useful banking agent connects the customer&#39;s request, account history, and existing support arrangement, then helps the team carry its decision into the systems that administer the loan.</summary>
    <category term="Automation" />
  </entry>
  <entry>
    <title>AI Agents for Insurance Claims: Build the Evidence Before the Settlement</title>
    <id>https://www.monarchagents.ai/blogs/ai-agents-insurance-claims-evidence/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-agents-insurance-claims-evidence/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>An insurer&#39;s AI workflow should connect the policy, repair estimate, and claim history, then help the team complete the next action with the customer properly informed.</summary>
    <category term="Automation" />
  </entry>
  <entry>
    <title>Your AI Strategy Won’t Work If Everyone’s Job Stays the Same</title>
    <id>https://www.monarchagents.ai/blogs/ai-strategy-job-redesign/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-strategy-job-redesign/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>AI adoption requires changes to people’s workloads, incentives, and responsibilities. Give them time to improve the work and authority to lead the agents doing it.</summary>
    <category term="AI strategy" />
  </entry>
  <entry>
    <title>Monarch vs Workato for enterprise AI agent integration</title>
    <id>https://www.monarchagents.ai/blogs/monarch-vs-workato/</id>
    <link href="https://www.monarchagents.ai/blogs/monarch-vs-workato/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Compare how Workato and Monarch make enterprise application operations available to AI agents, and test the maintenance work behind a complete workflow.</summary>
    <category term="Application access" />
  </entry>
  <entry>
    <title>Monarch vs Google Gemini: what your Google stack covers</title>
    <id>https://www.monarchagents.ai/blogs/monarch-vs-google-gemini/</id>
    <link href="https://www.monarchagents.ai/blogs/monarch-vs-google-gemini/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Google already supplies models, workplace AI, connectors, and agent infrastructure. Compare the application access your workflow still needs.</summary>
    <category term="Application access" />
  </entry>
  <entry>
    <title>Monarch vs Microsoft Copilot, Copilot Studio, Foundry, and Fabric</title>
    <id>https://www.monarchagents.ai/blogs/monarch-vs-microsoft-copilot-foundry-fabric/</id>
    <link href="https://www.monarchagents.ai/blogs/monarch-vs-microsoft-copilot-foundry-fabric/" />
    <published>2026-09-07T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Microsoft&#39;s AI products serve different roles. See how Monarch discovers application operations and runs cross-system agentic workflows alongside your existing stack.</summary>
    <category term="Application access" />
  </entry>
  <entry>
    <title>Why AI Agents Need an Application Map</title>
    <id>https://www.monarchagents.ai/blogs/why-ai-agents-need-an-application-map/</id>
    <link href="https://www.monarchagents.ai/blogs/why-ai-agents-need-an-application-map/" />
    <published>2026-06-18T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>An application map connects records, actions, permissions, and validation checks so AI agents can execute workflows with explicit business rules.</summary>
    <category term="Application access" />
  </entry>
  <entry>
    <title>How AI Agents Work With Legacy Systems Without a Suitable Public API</title>
    <id>https://www.monarchagents.ai/blogs/why-ai-agents-need-an-application-map-for-legacy-systems/</id>
    <link href="https://www.monarchagents.ai/blogs/why-ai-agents-need-an-application-map-for-legacy-systems/" />
    <published>2026-06-24T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>See how AI agents can use authorised private web interfaces and UI paths in legacy systems, with an application map, approval steps, and verified results.</summary>
    <category term="Application access" />
  </entry>
  <entry>
    <title>AI Agent Integration Platforms: How to Choose</title>
    <id>https://www.monarchagents.ai/blogs/ai-agent-integration-platforms/</id>
    <link href="https://www.monarchagents.ai/blogs/ai-agent-integration-platforms/" />
    <published>2026-07-02T00:00:00Z</published>
    <updated>2026-09-07T00:00:00Z</updated>
    <summary>Compare Workato, Monarch, Composio, and Merge Agent Handler, then separate integration needs from the choice to build with Microsoft, Google, OpenAI, or Claude.</summary>
    <category term="Application access" />
  </entry>
</feed>
