Most Business Leaders Don’t Know What’s Possible
Your architecture team holds critical information about your technology landscape. Which applications are aging. Where your systems depend on each other. What changes are in flight. Which technologies support your most valuable business capabilities. But right now, accessing that information requires scheduling a meeting with an architect, waiting days or weeks for them to compile a response, and receiving information that’s often already out of date by the time it reaches you.
It doesn’t have to work this way.
When your enterprise architecture tool—the system your EA team uses to document your technology landscape—is connected to the business tools you already use, something fundamental changes. Questions that once required a meeting can now be answered directly, in seconds, from live data. Your business leaders can query your architecture without waiting for intermediaries. Teams can make faster decisions. And your architecture team can focus on strategy instead of answering recurring operational questions.
This is what happens when a connectivity layer connects your architecture repository to Microsoft Copilot, Power BI, and other business intelligence platforms. The architecture data becomes immediately accessible to the stakeholders who need it.
Technology Decisions: What’s Really in Your Portfolio?
The Question: Which of our current applications reach end of life in the next 18 months?
What this currently requires: You email your architecture team. They search through spreadsheets and documentation, cross-reference vendor support timelines, compile a list, and send you a PowerPoint. This takes three to five business days. By the time you receive it, one application has already passed an important deadline.
What this looks like when data is live: You open Power BI (or Copilot) and ask the question directly. You get an instant list of applications, sorted by end-of-life date, with vendor names, current owner, number of users affected, and which critical business processes depend on them. You have what you need to make a decision before your next meeting.
The Question: What applications don’t have a clear owner?
What this currently requires: You schedule a meeting with the architecture team to discuss ownership gaps. They show you an old org chart and a spreadsheet from last quarter. The list is incomplete and possibly inaccurate.
What this looks like when data is live: You ask the question and get an instant dashboard showing every application without an assigned owner, grouped by criticality. You can see which teams are overloaded and which applications are at risk of becoming “orphaned.” You can act on this in minutes, not weeks.
The Question: Which capabilities have the most technical debt?
What this currently requires: A working meeting with architects. They walk you through documentation and code reviews. You leave with a vague sense of where problems are, but no clear prioritization. Nothing changes.
What this looks like when data is live: You ask for a ranked list of business capabilities ranked by technical debt. The system returns immediate visibility into which capabilities are built on aging technology, which ones have the highest support costs, and which ones are blocking your transformation roadmap. You can now prioritize modernization efforts based on actual data.
Transformation Programmes: Understanding What Changes
The Question: Which capabilities are in scope for this programme?
What this currently requires: The programme manager creates a scope document. It gets reviewed by architects. Questions about downstream impacts come up in workshops. Three months later, you’re still discovering gaps.
What this looks like when data is live: You ask the system what capabilities and applications fall within your programme’s scope. You get a complete picture instantly—including which systems integrate with those capabilities, what data flows between them, and what will break if you change something. Nothing gets missed.
The Question: What downstream systems are affected by this change?
What this currently requires: You guess based on what you remember about how systems connect. You ask architects to trace it out. You get a diagram three weeks later that may or may not be accurate. You proceed with uncertainty.
What this looks like when data is live: You identify the system being changed and ask what depends on it. You get an instant map of every downstream system, the type of connection (data, API, batch, real-time), and the business processes affected. You know exactly what needs to be tested before you deploy.
The Question: Which applications will be decommissioned as part of this initiative?
What this currently requires: You compile a manual list based on conversations and estimates. You compare it against project documentation. You spend weeks identifying overlaps and dependencies.
What this looks like when data is live: The system shows you which applications are planned for decommissioning as part of your programme, what they currently do, who uses them, and what systems will replace their functions. You have certainty instead of guesswork.
Risk and Compliance: Finding Hidden Problems
The Question: Where are our single points of failure?
What this currently requires: Your risk team knows this is a question worth asking, but answering it requires manually mapping your entire technology landscape. It doesn’t happen. You discover single points of failure when they fail.
What this looks like when data is live: You ask the system where your critical business capabilities depend on a single application or infrastructure component. You get an instant list, ranked by business impact. You can now address these risks before they become problems.
The Question: Which of our integrations are undocumented?
What this currently requires: You hope your integration team has good records. Usually they don’t. You discover undocumented connections when systems fail or when you’re trying to integrate with something else and realize there’s already an undocumented connection doing the same work.
What this looks like when data is live: You ask for all integrations between two systems. The answer is immediate and complete. You can see which connections are documented, which are ad hoc, and which need to be formalized. You can eliminate redundancy and establish governance.
The Question: What systems process customer data that haven’t been reviewed this year?
What this currently requires: You send a questionnaire to application owners and hope they respond accurately. You spend months compiling the answers. Auditors are unhappy because the list is incomplete.
What this looks like when data is live: You ask for all systems that process customer data and when they were last security-reviewed. You get an instant list, filtered by review date. You can assign audit work and verify compliance immediately. No spreadsheets. No guessing.
Operational: Understanding Your Technology Now
The Question: What does the handover between these two systems actually look like?
What this currently requires: You ask the developers or architects who support these systems. They describe it from memory. The answer is often incomplete or technically complex. You don’t fully understand it.
What this looks like when data is live: You ask the system to describe the connection in business language. You get an instant summary: what data moves, how often, in what direction, and what happens if the connection fails. You understand it immediately.
The Question: Who owns this process end-to-end?
What this currently requires: You follow the process through your systems and try to figure out which teams own each piece. You schedule meetings with team leads. The ownership picture is fragmented and unclear.
What this looks like when data is live: You ask who owns the end-to-end process. The system shows you every system involved, every team that plays a role, and who is ultimately responsible. You can now hold someone accountable.
The Question: What changed in our application portfolio this quarter?
What this currently requires: You review old presentations and compare them to today’s reality from memory. You ask architects if anything major changed. The answer is vague.
What this looks like when data is live: You ask for all changes to your application portfolio in the last quarter. You get an instant list: new applications, decommissioned applications, ownership changes, and technology updates. You stay current automatically.
This Is What Changes When Architecture Data Is Live
The transformation doesn’t happen because your EA team is suddenly more responsive. It happens because architecture information moves from being trapped in expert knowledge and outdated documents into a live, queryable system that business leaders can access directly.
The questions that used to require a meeting with an architect can now be answered in seconds, in your own tools, from data that’s updated in real time. Your architecture team shifts from answering operational questions to focusing on strategy and innovation. Your teams make faster decisions. Your stakeholders get the visibility they need to do their jobs.
This is what Connect delivers: a direct connection between your architecture data and the business intelligence and productivity tools your teams already use every day.
Ready to give your business leaders instant access to your technology landscape? Connect offering page
