Principal advisory practice

The messy middle of executive technology decisions

Modernize the platform. Fund the AI pilot. Close the security gap. Consolidate the providers. Hold the cost line. Each of those decisions can be defended on its own.

They also interact. They compete for the same budget, the same people, and the same executive attention.

The visible technology problem is not always the actual problem.

Senior technology judgment, grounded in operating experience.

I help executive leaders determine what is connected, where the friction sits, and what should come first.

The Executive Technology Flywheel

See how reasonable decisions can create friction

Six areas make up the Executive Technology Flywheel. When they reinforce one another, execution can become more consistent. When they do not, friction can appear elsewhere.

Spin the Flywheel to explore representative executive situations.

A diagram of six connected areas of technology readiness: Business & Technology Alignment, Technology Environment & Modernization, AI & Intelligent Automation, Cybersecurity & Resilience, IT Operations & Operating Model, Governance, Investment & Execution. They reinforce one another when they move together, and create friction when they do not. Alignment Modernization AI Cybersecurity Operations Governance Technology readiness

Explore representative executive situations. This interaction does not score or diagnose your organization.

Representative executive situations

Technology investment is not clearly aligned to strategy

What leadership sees

Every technology project on the list has a reasonable business case. Leadership is less certain which of them matter most right now.

What may be happening

Projects may be prioritized one at a time rather than against a shared enterprise direction.

Flywheel areas

  • Business & Technology Alignment
  • Governance, Investment & Execution

Why it matters

Budget and execution capacity can be consumed without clear confidence in business outcomes.

Are our technology priorities clearly tied to the outcomes that matter most now?

AI is moving faster than governance or data readiness

What leadership sees

Licenses are bought and pilots are running, while acceptable use, data permissions, ownership, and priority workflows are still being worked out.

What may be happening

AI adoption may be moving faster than the governance, data, security, and operating practices needed to support it.

Flywheel areas

  • AI & Intelligent Automation
  • Cybersecurity & Resilience
  • Governance, Investment & Execution

Why it matters

Adoption can move faster than leadership's confidence in responsible use or business value.

What needs to be in place before we scale AI further?

Modernization is constrained by ownership or execution capacity

What leadership sees

The legacy platform replacement is well understood technically, yet milestones keep moving and new dependencies keep appearing.

What may be happening

Ownership, integrations, decision rights, or execution capacity may be limiting progress more than the technology itself.

Flywheel areas

  • Technology Environment & Modernization
  • IT Operations & Operating Model
  • Governance, Investment & Execution

Why it matters

More project activity may not remove the constraint.

What is actually preventing this program from moving at the pace the business expects?

Internal IT and an MSP have unclear accountability

What leadership sees

Internal IT and the MSP are both doing useful work, yet important issues keep moving between them and no one clearly owns the outcome.

What may be happening

Responsibilities may be defined at the task level while architecture, security, modernization, vendor management, or decision rights remain unclear.

Flywheel areas

  • IT Operations & Operating Model
  • Governance, Investment & Execution

Why it matters

Issues can remain unresolved even when each team appears to meet its responsibilities.

Is the provider the problem, or is accountability between the provider and the organization unclear?

Security tooling is strong, but resilience ownership is unclear

What leadership sees

MFA, endpoint protection, backups, training, and security providers are all in place. Who decides during a serious incident, and how fast operations recover, is less clear.

What may be happening

The friction may sit in resilience planning, ownership, business continuity, vendor responsibilities, or executive visibility rather than another tool.

Flywheel areas

  • Cybersecurity & Resilience
  • IT Operations & Operating Model
  • Governance, Investment & Execution

Why it matters

Technical controls can be present while recovery and accountability remain unclear.

If a serious incident happened tomorrow, are decision ownership and recovery priorities clear enough to act?

Technology spending has accumulated without clear priority

What leadership sees

Cloud, SaaS, security tools, consultants, AI pilots, and managed providers have built up over years, one reasonable decision at a time.

What may be happening

Overlap, underused technology, fragmented ownership, and competing priorities may have accumulated with them.

Flywheel areas

  • Technology Environment & Modernization
  • IT Operations & Operating Model
  • Governance, Investment & Execution

Why it matters

Leadership can see the cost while remaining less certain about what creates value, what should continue, and what should stop.

Which technology investments still earn their place against the priorities the business has now?

AI automation exposes an inconsistent business process

What leadership sees

A team sets out to automate a manual workflow with AI. Mapping it turns up different practices, scattered data, informal approvals, and no clear owner.

What may be happening

AI may be exposing an operating and process problem that needs clarification before automation can create durable value.

Flywheel areas

  • Business & Technology Alignment
  • AI & Intelligent Automation
  • IT Operations & Operating Model

Why it matters

Automating an unclear process can reproduce inconsistency rather than remove it.

Is the process ready to automate, or do ownership and operating rules need to be clarified first?

Find where attention may be needed

Get a directional view in about 10 minutes

The Executive Technology Readiness Assessment gives you a self-reported, directional read across the same six areas. Twenty-four questions, about ten minutes, and a view of where friction may warrant attention before you decide whether deeper work is needed.

It is not an audit, certification, vulnerability assessment, peer benchmark, or substitute for professional judgment.

Go deeper on one area

Domain deep dives

A domain deep dive takes one area further. It helps identify what may be creating the friction and what should be investigated next, on the same self-reported basis: more detail, not more assurance.

Your results, reports, and completed deep dives stay together in My Readiness, reached with the email address you used.

Business & Technology Alignment Deep Dive
Business & Technology Alignment
Technology Environment & Modernization Deep Dive
Technology Environment & Modernization
AI & Intelligent Automation Deep Dive
AI & Intelligent Automation
Cybersecurity & Resilience Deep Dive
Cybersecurity & Resilience
IT Operations & Operating Model Deep Dive
IT Operations & Operating Model
Governance, Investment & Execution Deep Dive
Governance, Investment & Execution

Open My Readiness

When a directional view is not enough

Technology, AI & Cybersecurity Executive Assessment

Some decisions need evidence rather than a screen. The professional Executive Assessment goes beneath the visible issue. Over four weeks, it uses stakeholder conversations, evidence review, analysis, and executive judgment to establish what is actually happening, what is material, and what should come first.

The outcome is a prioritized 90-day roadmap grounded in what the organization is realistically ready to execute.

Experience behind the judgment

  • Operator

    Executive Operator

    As CEO of WMI Worldwide, I built and led a global services organization of more than 75 professionals across five countries. I have had to fund the roadmap, build the team, manage the vendors, and answer for what happened next.

  • Consultant

    Principal Consultant

    More than 18 years across technology strategy, transformation, cloud, cybersecurity, operations, and enterprise AI. I start with the business position, work out what is material, and make the tradeoffs clear enough for leadership to decide.

  • Technologist / Builder

    Hands-On Technologist & Product Builder

    As Founder and Chief Technology Officer of TractionGRC, I still work directly with AI, cloud architecture, cybersecurity, and governance. That keeps my judgment connected to what is practical now.

Advisory areas

Sometimes the issue is already clear and a full assessment is more than the decision requires. What is missing is an independent view before leadership commits to modernization, AI, cybersecurity, an operating model, a provider, or a significant investment.

The work starts with the decision, not a service category.

A practical standard

Every recommendation gets the same test. Can this organization actually do it, with the budget, people, vendors, governance, and execution capacity it has? A recommendation the organization cannot execute is not a recommendation. It is a preference.

Michael K. Mpare

About

Michael K. Mpare, MBA

Mickom takes on work where senior judgment and a practical path forward matter more than the size of the consulting program.

More about my background

Let's talk about what you're seeing

Start with what changed, what leadership is trying to decide, and where the friction or uncertainty sits. If a Mickom engagement would not create enough value, I will say so.