Enterprise Architect
Review and govern technology decisions
What You Do Today
You participate in architecture review boards, evaluate project proposals for architectural fit, and ensure new solutions align with enterprise standards and strategy.
AI That Applies
AI pre-screens proposals against architecture standards, identifies potential conflicts with existing systems, and generates assessment reports before review board meetings.
Technologies
How It Works
For review and govern technology decisions, the system identifies potential conflicts with existing systems. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — assessment reports before review board meetings — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Review preparation becomes faster when AI pre-screens proposals and identifies the key architectural questions to address.
What Stays
The governance judgment — knowing when to enforce standards strictly and when to grant exceptions, and maintaining credibility as a helpful guide rather than a gate.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for review and govern technology decisions, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long review and govern technology decisions takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CEO or executive sponsor
“What data do we already have that could improve how we handle review and govern technology decisions?”
They set the strategic priority for transformation initiatives
your CTO or CIO
“Who on our team has the deepest experience with review and govern technology decisions, and what tools are they already using?”
They own the technology capability that enables your strategy
the leaders of the business units you're transforming
“If we brought in AI tools for review and govern technology decisions, what would we measure before and after to know it actually helped?”
Their buy-in determines whether your strategy actually gets implemented
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.