Brad Arnst

Architecture consulting and AI delivery governance

EN FR

Consulting offer

Architecture consulting that helps delivery move with less ambiguity and less waste.

The work is aimed at teams dealing with delivery risk, architectural misalignment, modernization pressure, or AI initiatives that need governance before they scale.

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Service pillars

Five ways the engagement typically creates leverage

These pillars can stand alone or combine into a broader engagement, depending on where risk, ambiguity, or delivery friction is highest.

AI delivery oversight and governance

Define guardrails, ownership, review cadence, and delivery discipline so AI work can move beyond demo energy without accumulating invisible risk.

  • review loops
  • risk posture
  • decision rights

Integration and modernization

Map operational constraints, sequence technical change, and reduce dependency knots without pretending the legacy estate can be replaced in one move.

  • legacy constraints
  • incremental change
  • integration strategy

Architecture leadership

Provide senior technical direction when teams need sharper decisions, clearer trade-offs, and stronger alignment across disciplines.

  • cross-team alignment
  • technical direction
  • trade-off framing

Transformation support

Support programs that need architecture thinking tied directly to delivery reality, stakeholder alignment, and execution pacing.

  • program alignment
  • delivery pacing
  • change sequencing

Hands-on prototyping where useful

Use lightweight prototypes or decision-enabling technical spikes when a concrete artifact will unblock strategy faster than another round of slides.

  • technical spikes
  • decision support
  • pragmatic prototypes

Engagement model

A typical arc: diagnose, align, govern, prototype, unblock

The exact shape changes by situation, but the work usually follows a progression from ambiguity reduction into active delivery support.

  1. 01

    Diagnose

    Identify where delivery is failing: architecture ambiguity, ownership gaps, integration friction, or unrealistic sequencing.

  2. 02

    Align

    Create a shared frame for trade-offs, priorities, and technical direction across product, engineering, and leadership.

  3. 03

    Govern

    Add practical decision forums, review loops, and guardrails so complex work stays legible as it moves.

  4. 04

    Prototype

    Build just enough artifact or working spike to validate a path when alignment alone is not enough.

  5. 05

    Unblock

    Remove the specific architecture or coordination bottlenecks that are keeping delivery risk high.

Where this is useful

Brad is most valuable when the situation is technically complex and organizationally messy.

The strongest fit is when a team needs senior architecture help that can operate across strategy, delivery, and hands-on technical reality.

  • Multiple teams are shipping into the same space without clear architectural decision ownership.

  • An AI initiative needs production-minded governance before it expands beyond prototypes.

  • Modernization has to happen under operational constraints, not in a greenfield fantasy.

  • Stakeholders need a technical translator who can connect product goals, engineering reality, and delivery risk.

  • A transformation program needs architecture leadership that is visible in execution, not just in principles.

Consulting offer

If the challenge is already visible, the architecture conversation should start early.

Use contact for a direct discussion, or review the placeholder work section to see the kinds of situations this site is being shaped around.

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