AI Execution Readiness Audit

AI does not fix unclear operations. It amplifies them.

Most companies are adding AI faster than their operating structure can absorb it.
The failure point is rarely the tool.

Technically enabled. Operationally confused.

Teams are experimenting with AI across functions. Usage is inconsistent. Results are unclear. Decisions still route through the same few leaders. Work is duplicating.

The issue is not the technology. It is the operating structure underneath it. Workflows were unclear before AI arrived. Now they are unclear at higher speed.

AI tools are in use, but nobody owns
the outcomes.

Decisions are slow because authority lines are unclear.

Multiple AI experiments are running with no governance model.

Workflows still depend on specific people to function.

Teams are unsure what AI can
handle and what they still own.

Technology investment is not
producing measurable operational value.


THIS AUDIT IS

  • A structured operational review of how your team makes decisions, owns workflows, and integrates AI into daily execution

  • A diagnostic of where AI adoption is being slowed by structural friction

  • A clear map of what needs to change before you scale further

  • An executive-ready set of findings with a prioritized roadmap

THIS AUDIT IS NOT

  • An AI strategy engagement

  • A tool selection or vendor recommendation

  • A change management or training program

  • An implementation or automation project


WHO THIS IS FOR

Leadership teams navigating AI adoption without clear operational footing.

This audit is usually a fit for operations, transformation, and leadership teams at companies between 100 and 1,500 employees that are investing in AI but not yet seeing clear execution value.

TYPICAL BUYERS

  • COO / VP of Operations

  • Chief of Staff

  • Head of Transformation or Business Operations

  • CIO / Head of AI or Digital Transformation

  • Director of People Ops or Change Management

GOOD FIT SIGNALS

  • AI tools are in use but adoption is inconsistent

  • No clear model for who owns AI use cases

  • Workflows, handoffs, or approvals are still unclear

  • AI investment is not producing measurable returns

  • Governance, accuracy, or risk questions are unresolved

  • A scale decision is approaching and readiness is uncertain

WHAT YOU RECEIVE

Six deliverables. Delivered to your leadership team at the end of three weeks.

Workflow Friction Map

A structured map of where work is currently breaking down: duplicated effort, unclear handoffs, approval delays, inconsistent AI usage, manual workarounds, and fragmented documentation.

1.


Decision and Escalation Map

A clear picture of what decisions are being made, who owns them, where they stall, and where AI-supported work requires human review. This is where execution is most often slowing down.

2.


AI Use Case Readiness Review

A polished executive readout covering current state findings, scorecard results, workflow friction, decision and ownership gaps, key risks, and priority stabilization areas.

3.


Executive Findings Deck

A readiness assessment of your current or planned AI use cases. For each, the review covers workflow fit, ownership, review requirements, risk boundaries, and whether the use case is ready to scale, test, pause, or redesign.

4.


AI Execution Readiness Scorecard

A leadership-level assessment across six domains: workflow clarity, decision ownership, role and accountability clarity, data and process reliability, adoption and behavior fit, and governance boundaries. Shows where the operating structure is ready and where it is not.

5.


30/60/90-Day Execution Roadmap

A prioritized roadmap covering what to clarify in the first 30 days, what to stabilize in 60, and what to scale in 90. Not a general recommendation list. A sequenced operational path forward.

6.


HOW IT WORKS

Three weeks. Contained scope. Clear output.

The audit is designed to move quickly and produce an executive-ready output without requiring significant time from your leadership team.

WEEK 1

Intake and Review

Kickoff session. Stakeholder intake survey. Review of current workflows, AI use cases, process documentation, and operating rhythms. Up to six stakeholder interviews.

WEEK 2

Analysis and Mapping

Scorecard assessment. Workflow friction mapping. Decision and escalation analysis. AI use case readiness review. Pattern identification across functions.

WEEK 3

Findings and Roadmap

Executive findings deck assembled. 30/60/90-day roadmap finalized. 60-minute leadership readout session. All deliverables transferred.


ABOUT ALIGNED OPS

Operations background. No consulting jargon.

Jessica Murray is the founder of Aligned Ops. Her background is in program management and operations at enterprise technology companies, where she spent years building the infrastructure that kept complex organizations running without constant firefighting.

The AI Execution Readiness Audit applies that same structural lens to a specific problem: teams that are technically enabled but operationally unprepared for what AI requires of them.

This is not an AI strategy engagement. It is an operational one.

Before you scale AI further, clarify the operating structure it has to live inside.

GET STARTED

The audit begins with a 30-minute readiness call to confirm fit and scope before any commitment is made.

$15,000 fixed fee  |  3 weeks

Send a message to hello@alignedopsusa.com or use the link above to request a call.