AI Governance and Management Advisory
Organizations are adopting AI faster than they can control, secure, fund and manage it. SeaVic connects governance, security, accountability, cost, value and transformation so leaders can scale AI with evidence and control.
Who We Work With
AI rarely sits neatly inside one function. Technology may own the platforms. Security sees the exposure. Finance sees the spend. Business teams are expected to deliver the value. In larger organizations, that accountability may sit at enterprise level, within a division, or with a specific function or geography.
SeaVic works with leadership teams that need a practical way to govern, manage and scale AI, and with selected SIs, MSPs and MSSPs that want to take those capabilities to their own clients.
SeaVic works with enterprises, regulated and risk-sensitive organizations, business units, and selected SIs/MSPs/MSSPs that need practical control over how AI is governed, managed and scaled--or want to deliver those capabilities to their own clients.
01
CEO, President, Managing Partner, Division President, General Manager and business-unit leaders. You are responsible for the outcome and need to know where AI is being used, who owns it, where the risk sits, what the organization is spending and whether the investment is producing enough value to continue.
02
CIO, CTO, CAIO, Head of AI, Enterprise Architecture and Digital Leadership. You are being asked to move quickly, while the operating model around AI often develops more slowly than the technology. The challenge is connecting platforms, governance, security, cost, business ownership and implementation into something the organization can actually operate.
03
CISO, General Counsel, GRC, Risk, Compliance, Privacy and Data Protection. You need a reliable view of how AI is being used and where exposure exists. Policies matter, but so do ownership, controls, exceptions, evidence and the ability to show leadership, customers or regulators how AI is being managed in practice.
04
COO, CFO, FinOps, Transformation, Operations and functional leaders. You are trying to turn AI investment into operating results. That means knowing what is worth funding, which workflows should change, how value will be measured, and what has to be true before a pilot is ready to scale.
05
Service-provider executives, managed-services leaders, AI practice leaders, CTO/CISO, platform and solution leaders. You may be facing the same governance and management questions across multiple customer environments. The issue becomes how to make the approach repeatable without rebuilding the assessment, control model, evidence and reporting process for every client.
When to Engage SeaVic
SeaVic typically gets involved when AI adoption has moved far enough that leadership needs better visibility, clearer accountability or a more disciplined way to make the next decision.
01
AI is scaling across teams, business units or geographies. Different parts of the organization are adopting tools and building use cases independently, and what worked at pilot stage is becoming an enterprise operating issue.
02
Leadership cannot get a reliable view of the AI estate. There is no single answer to what is being used, who owns it, what it costs, where the risk sits or what evidence exists.
03
A major AI rollout, investment or agentic initiative is approaching. Leadership wants to understand readiness, controls, economics and accountability before committing to broader adoption.
04
The board, a regulator, an auditor, a customer or an internal risk team starts asking for evidence. Leadership needs a defensible view of AI use, ownership, controls and management oversight--not simply another policy document.
05
A service provider wants to make AI governance and management repeatable for clients. An SI, MSP or MSSP wants a practical offer it can resell, co-sell or deliver with SeaVic without rebuilding the operating model, evidence and reporting approach for every customer.
A SeaVic Discovery Call is a focused conversation about the AI decision or operating issue in front of you. We will look at what is happening, what leadership needs to decide, and whether there is a useful next step for SeaVic to support.
Offerings
SeaVic organizes enterprise AI control through the three connected offering areas approved for launch.
Secure
SeaVic helps organizations understand where AI is being used, what risk it creates and who is accountable for it. The work connects visibility, ownership, risk, governance, controls, evidence and a prioritized path to remediation.
Manage
SeaVic helps leadership manage AI as an enterprise capability rather than a collection of disconnected tools and projects. The operating model follows four management disciplines--Register, Observe, Govern and Control--across ownership, risk, usage, cost, value, policy, evidence and emerging agentic AI.
Transform
SeaVic works from the business workflow outward--prioritizing use cases, redesigning how work should operate with AI, defining human accountability and exception boundaries, and establishing the measures needed to move from pilot to practical scale.
Executive questions
Those questions connect visibility, risk, ownership, cost and business value into the decisions leaders need to make.
How we work
The firm-wide method connects evidence gathering, decision rights, controls, adoption and recurring executive visibility.
Establish the current state, risks and decision priorities.
Define decision rights, ownership and approval boundaries.
Put controls, evidence and workflow changes in place.
Drive adoption across the affected teams and workflows.
Sustain oversight with recurring executive visibility.
This method underpins the entry pathway below, from the AI Control Diagnostic through Managed AI Governance.
See How We WorkEntry pathway
The approved pathway begins with an AI Control Diagnostic and can expand into comprehensive readiness, implementation and managed governance.
AI Control Diagnostic
Security, Governance & Value Readiness
Operating-Model & Control Design
Technology Enablement
Managed AI Governance
Business outcomes
SeaVic is built for leaders who need enterprise AI to become visible, accountable and measurable.
Senior-led model
SeaVic Consulting is a senior-led advisory firm connecting executive strategy, security, governance, accountability, cost, business value, workflow redesign and implementation discipline.
Principal Consultant, AI Solutions & Strategic Partnerships
Lui Sieh is a digital transformation and AI advisor with extensive experience leading enterprise technology, operating-model and transformation initiatives across multiple industries and international markets. His work focuses on translating executive strategy into practical operating models, governance, workflow redesign, implementation roadmaps and measurable business change. At SeaVic, Lui leads AI solution development, client discovery, enablement and transformation advisory, and strategic partnerships--helping organizations connect AI strategy with the operating realities required to implement and scale it.
Managing Partner, Cybersecurity, Governance & Client Delivery
Victor Gan is a technology, cybersecurity and consulting leader with experience across enterprise solutions, security, delivery, partnerships and regional market development. His work combines technology risk, business priorities and practical implementation, helping organizations address complex technology and security challenges without losing sight of operational outcomes. At SeaVic, Victor provides leadership across security and governance, client engagement, delivery oversight and strategic business development, complementing SeaVic's broader AI governance, management and transformation capabilities.
Next step
A SeaVic Discovery Call is a focused conversation about what is happening, what leadership needs to decide and whether there is a useful next step for SeaVic to support.
