Automation & Integration

Empower teams with seamless automation and integration across your enterprise portfolio and software delivery.

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Break Down Silos. Accelerate Delivery. Scale with Confidence

Large-scale strategic portfolio management requires more than moving data between tools. It requires a reliable, governable flow of information that keeps strategy, funding, and execution aligned as complexity grows.

ConnectALL® by Broadcom, provides an enterprise-grade integration foundation that creates a bi-directional synchronization of data across planning and execution systems. As AI accelerates how work is created and changed, ConnectALL closes the data quality gap, ensuring decisions are driven by accurate, trusted information that can scale without introducing risk.

Enterprise-Grade Automation for Reliable Execution

ConnectALL acts as the integration backbone of your enterprise portfolio, synchronizing data across planning, funding, and engineering systems. This ensures leaders have consistent, trustworthy information in the tools they already use, enabling confident decisions, operational control, and scalable execution without increasing complexity.

  • Unified Strategic Visibility

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    ESD_FY26_ValueOps Microsite.Blog.Why Point-to-Point Integrations Aren’t Enough.featured

    When tools operate in isolation, visibility fragments and decisions lag behind reality


    Leaders are forced to rely on partial data, outdated reports, and manual reconciliation to understand what’s actually happening. ConnectALL synchronizes data across your portfolio ecosystem in real time, ensuring the systems leaders rely on have access to trusted, governable data, so decisions are made with clarity, confidence, and control.

    >> Read about AI-Driven Enterprise Integration Strategy

  • Clean Data for AI Readiness

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    AOD_FY26_ValueOps Microsite.Blog.Taming the Data Beast - How ConnectALL Delivers Data Purity and Governance.Featured

    Clean Data Is a Prerequisite for AI Readiness


    AI is only as dependable as the data feeding it. Disconnected systems introduce gaps, inconsistencies, and hidden risk that undermine AI outcomes. ConnectALL synchronizes and refines data across your planning, funding, and engineering ecosystem, creating a reliable, real-time foundation that leaders can trust to safely scale automated decision-making.

    >> Read the Blog

  • The Manual Burden

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    AOD_FY26_ValueOps Microsite.Pillar Page.Automation and Integration.Data Chaos eBook.Featured

    The manual burden introduces operational risk


    When systems aren’t integrated, teams rely on manual updates, spreadsheets, and workarounds to keep tools aligned. This creates inconsistent data, delayed visibility, and avoidable failures. ConnectALL automates synchronization across your planning, funding, and engineering ecosystem, reducing operational drag while restoring confidence in the data that runs your delivery engine.

    >> Read the eBook

BG-cirlce-pattern
ESD_FY26_ValueOps Microsite.Blog.Why Point-to-Point Integrations Aren’t Enough.featured
When tools operate in isolation, visibility fragments and decisions lag behind reality


Leaders are forced to rely on partial data, outdated reports, and manual reconciliation to understand what’s actually happening. ConnectALL synchronizes data across your portfolio ecosystem in real time, ensuring the systems leaders rely on have access to trusted, governable data, so decisions are made with clarity, confidence, and control.

>> Read about AI-Driven Enterprise Integration Strategy

BG-cirlce-pattern
AOD_FY26_ValueOps Microsite.Blog.Taming the Data Beast - How ConnectALL Delivers Data Purity and Governance.Featured
Clean Data Is a Prerequisite for AI Readiness


AI is only as dependable as the data feeding it. Disconnected systems introduce gaps, inconsistencies, and hidden risk that undermine AI outcomes. ConnectALL synchronizes and refines data across your planning, funding, and engineering ecosystem, creating a reliable, real-time foundation that leaders can trust to safely scale automated decision-making.

>> Read the Blog

BG-cirlce-pattern
AOD_FY26_ValueOps Microsite.Pillar Page.Automation and Integration.Data Chaos eBook.Featured
The manual burden introduces operational risk


When systems aren’t integrated, teams rely on manual updates, spreadsheets, and workarounds to keep tools aligned. This creates inconsistent data, delayed visibility, and avoidable failures. ConnectALL automates synchronization across your planning, funding, and engineering ecosystem, reducing operational drag while restoring confidence in the data that runs your delivery engine.

>> Read the eBook

Frequently Asked Questions

Choose a question
  • How does an integration hub differ from standard point-to-point APIs?
  • Will our teams need to change how they use their current tools?
  • How does the platform maintain performance during high-volume syncs?
  • Can we use LLMs to audit our data quality?
  • How are governance rules managed for sensitive data?
How does an integration hub differ from standard point-to-point APIs?

Most standard integrations function as simple bridges that move data from point A to point B. ConnectALL acts as a centralized governance layer. Instead of managing dozens of fragile, individual connections, you manage a unified integration logic that enforces business rules and maintains data integrity across the entire portfolio simultaneously.

Will our teams need to change how they use their current tools?

Not at all. The goal is "work where you are." Your developers stay in Jira or Azure DevOps, while your finance and leadership teams stay in ServiceNow or virtually any other tool. The automation happens in the background, updating fields and statuses across platforms so that no team has to learn a new tool or alter their established day-to-day processes.

How does the platform maintain performance during high-volume syncs?

The architecture is built for enterprise concurrency. It utilizes an event-driven model to enable real-time bi-directional synchronization of data the moment changes occur. This prevents "sync-storms" and ensures that even during peak development cycles, your reporting dashboards reflect the current state of work without impacting tool performance.

Can we use LLMs to audit our data quality?

ConnectALL enables a "Governance Loop" where data synchronized between tools is sent to an AI for real-time analysis. For example, it can trigger a prompt to an LLM of your choice to check if a new requirement meets your "Definition of Ready." If the AI identifies missing criteria, it can flag the item automatically, preventing poor-quality data from moving downstream.

How are governance rules managed for sensitive data?

Governance is centralized within a visual dashboard, typically managed by your Admin. You can set "Field-Level Policies" that dictate exactly which data is allowed to flow. For example, you can sync technical specs between engineering tools while strictly blocking any PII or budget data from moving into non-secure environments, ensuring compliance is automated.

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Read the latest Automation & Integration Resources

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Reclaiming Strategic Capacity with Global Payments

Global Payments used ValueOps by Broadcom to automate time tracking, saving 116 days of rework quarterly and $556K annually while improving data accuracy for finance.

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The Planning Paradox: Why Your Annual Plan Is Already Obsolete

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