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No one documents their own integrations, and that’s why modernizing hurts so much | TI INSIDE Online

Translated title. Original: Ninguém documenta as próprias integrações, e é por isso que modernizar dói tanto | TI INSIDE Online

Documentation of integrations is rare, and the resulting complex web of connections across growing systems creates hidden costs during modernization. AI agents can simplify connections by acting as adaptive intermediaries, but complete elimination of legacy integrations will take time.

IBM Integration Intelligence Hub gives AI the context to act, not just access

AI systems require enterprise context to act reliably; IBM Integration Intelligence Hub provides governance and awareness of existing integrations so AI tools understand assets and permissions before acting.

ASCII.jp: HIX AI greatly updates its "app integration" feature! Directly connects with Microsoft 365 and Google Workspace to automate daily tasks

Translated title. Original: ASCII.jp：HIX AIが「アプリ連携」機能を大幅アップデート！Microsoft 365やGoogle Workspaceと直結し、日常業務を自動化

HIX AI releases a全面 update to its app integration, enabling seamless links between AI and major business apps like Microsoft 365 and Google Workspace to automate both content creation and daily tasks; the company offers a free trial and mentions potential affiliate revenue.

AI Integration: requirements for a reliable operation

Translated title. Original: Integração de IA: requisitos para uma operação confiável

The document argues that AI integration into business operations requires more than linking APIs. It stresses the need for controlled, role-based access, data integrity, and defined responsibilities to ensure reliable, scalable use, with a shift from pilot projects to production as a key challenge.

AI implementation is stalling not because of the model, the main brake is integration / Habrahabr

Translated title. Original: Внедрение ИИ буксует не из-за модели, главный тормоз — интеграция / Хабр

AI projects stall due to integration gaps in corporate systems, not model quality or hardware. The document argues six architectural properties of the integration layer drive time-to-market and offers a hybrid architecture to connect monolithic and API-first approaches, treating AI nodes as standard connectors and emphasizing end-to-end data and access controls across enterprise systems.

Say yes to AI context without losing control: a new way to set up and govern connectors in Atlassian Administration - Inside Atlassian

Atlassian introduces a new connector experience that ties Jira, Confluence, and other apps to third-party tools via Teamwork Graph, enabling cross-system queries and summaries while preserving source permissions. The update emphasizes upfront setup clarity, security disclosures, and governance that speeds decisions, addressing admin concerns about data flows, access, and incident response.

Developers Can Now Build Apps For Google Search In The Connected Apps Platform

Google announces a Connected Apps Platform for Search and Gemini, enabling developers to publish apps that integrate with Google's search and AI surfaces; apps register and manage via a console, can be live on Search or Gemini, and are growing with dozens of integrations from partners and across domains.

Connected Apps Platform: Google opens Search and the Gemini app to developers via MCP - Abondance

Translated title. Original: Connected Apps Platform : Google ouvre Search et l’app Gemini aux développeurs via MCP - Abondance

Google unveils a pre-release Connected Apps Platform enabling third-party app integration with Google Search and Gemini via MCP or Android AppFunctions, managed from a new console, with 50+ apps already available and brand-focused enhancement of Search as an action space.

As AI agents reshape the web, Google opens Gemini and Search to more apps | TechCrunch

Google expands its Connected Apps Platform to let developers link third-party apps with Gemini and Search, enabling actions through AI experiences. The beta program in the U.S. supports MCP-based integrations, with analytics and branding controls, and a growing list of partners and upcoming broader availability.

Build a JTL Cloud App with an AI Agent

An AI agent builds a JTL Cloud App from a prompt, registering it, connecting to On-Prem ERP data, and deploying a customer dashboard and a purchase-history panel. The process uses the MCP server and JTL Developer Docs to enable code generation, setup, and deployment within an organization.