AI Solutions
AI Strategy and AI Governance Consulting
Decide where AI will create the most value, organize to deliver it, and put proportionate controls in place so every use case can move from idea to production without avoidable risk.
Scale AI with a Clear Plan and the Right Guardrails
AI adoption usually begins bottom up: a team tries a chatbot, another buys a tool with built-in AI, a third trains a model on a spreadsheet. Within a year, leadership faces dozens of initiatives, unclear returns, overlapping licenses and growing questions from legal and security. A strategy turns that activity into a portfolio with priorities, owners and budgets, while governance makes sure each use case is assessed, approved and monitored in proportion to its risk.
Hanoi Technology helps you do both together. We connect AI opportunities to your business goals, assess data and technology readiness, design an operating model that fits your size, and implement a practical governance framework drawing on the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act. The result is a plan your board can endorse and your teams can execute.
The Challenge
Common Barriers to Responsible AI at Scale
Strategy and governance gaps are the most frequent reasons AI programs lose executive support.
Too Many Ideas, No Prioritization
Business units submit long wish lists with no consistent way to compare value, feasibility and risk. Resources are spread thin across small experiments, and none receive enough investment to reach production.
Shadow AI and Unmanaged Tools
Employees paste sensitive information into public AI tools and buy AI features without review. Without an inventory, the organization cannot answer basic questions about where AI is used and what data it touches.
Regulatory Uncertainty
The EU AI Act, sector regulators and data protection authorities are setting new expectations for transparency, human oversight and documentation. Teams are unsure which obligations apply to them and when.
Governance That Slows Everything Down
Some organizations respond to risk with heavy, one-size-fits-all approval processes. Low-risk use cases wait months for sign-off, frustrating teams and pushing them back toward shadow AI.
Business Value
What You Gain from a Strategy and Governance Program
Investment Focused on Value
A scored, ranked portfolio directs budget to the use cases with the strongest business case and the highest likelihood of success. Leadership sees expected returns before committing funds.
A Single View of AI Across the Business
An AI inventory records every system, its owner, purpose, data and risk level. You can answer auditors, customers and regulators quickly and accurately.
Faster, Proportionate Approvals
Risk-tiered controls mean low-risk use cases move through a light-touch review while high-risk ones get the scrutiny they need. Teams know the path in advance.
Readiness for Regulation and Certification
Policies, documentation and controls aligned with recognized frameworks prepare you for EU AI Act obligations and, if you choose, an ISO/IEC 42001 certification audit.
Trust from Customers and Employees
Clear rules on transparency, fairness and human oversight reassure the people affected by AI decisions. Employees understand what they may and may not do with AI tools.
Capabilities That Last
A defined operating model, roles and skills plan means AI delivery does not depend on a few individuals or one vendor.
Governance Is What Lets You Go Faster
Clear rules remove uncertainty. When teams know which data they can use, which models are approved and what evidence a reviewer needs, they stop waiting and start building. Good governance is an accelerator, not a brake.
Our Services
Hanoi Technology’s AI Strategy and Governance Services
Advisory and hands-on services that connect boardroom ambitions with practical delivery.
AI Opportunity Assessment
We run workshops with business leaders, map processes where AI can help and score each idea on value, feasibility, data availability and risk.
- Use-case long list and scoring
- Value hypotheses and KPIs
- Prioritized shortlist
AI Roadmap and Business Case
We sequence the portfolio into waves, estimate costs and benefits, and define the platform, data and talent investments needed to deliver it.
- Multi-year AI roadmap
- Business case per wave
- Investment and resourcing plan
AI Operating Model Design
We define how AI is delivered, choosing between central, federated or hub-and-spoke models, and set out roles, decision rights and funding mechanisms.
- Target operating model
- RACI and decision rights
- AI center of excellence charter
AI Governance Framework
We create policies, risk tiers, review workflows and control sets aligned with the NIST AI RMF functions of Govern, Map, Measure and Manage.
- AI policy and acceptable use
- Risk classification method
- Review and approval workflow
Regulatory and ISO/IEC 42001 Readiness
We assess your AI systems against EU AI Act categories and ISO/IEC 42001 requirements, identify gaps and plan remediation.
- AI system inventory
- Gap analysis report
- Remediation plan
Responsible AI Implementation
We put governance into practice with model documentation templates, bias and robustness testing, monitoring and incident response procedures.
- Model cards and impact assessments
- Fairness and robustness tests
- AI incident playbook
Our Approach
Our Approach to AI Strategy and Governance
A structured program that produces decisions, not just slides, typically within eight to twelve weeks.
- 01
Understand Ambition and Context
We interview executives and key stakeholders to capture strategic goals, risk appetite, regulatory exposure and current AI activity across the organization.
Deliverables: Stakeholder interview summary · Current-state AI inventory
- 02
Assess Readiness
We review data quality and access, technology platforms, skills, existing policies and security controls to identify what must be in place before AI can scale.
Deliverables: Readiness scorecard · Key gaps and dependencies
- 03
Prioritize the Portfolio
Through facilitated workshops we score use cases, agree on the first wave and define success metrics and owners for each initiative.
Deliverables: Prioritized portfolio · Use-case canvases
- 04
Design Governance and Operating Model
We define risk tiers, controls, review boards, roles and the delivery model, tailoring the depth of each to your size and sector.
Deliverables: Governance framework · Operating model blueprint
- 05
Launch and Embed
We help launch the first use cases under the new framework, train reviewers and teams, and set up reporting so governance improves over time.
Deliverables: Pilot governance cycle · Training and communication kit
Use Cases
Typical AI Strategy and Governance Engagements
Examples of situations where clients bring us in.
Enterprise AI Roadmap for a Growing Scale-Up
A fast-growing software company wants to add AI features across its product line. We prioritize features by customer value and build cost, and define a shared platform to avoid duplicated work.
Generative AI Acceptable Use Policy
A professional services firm sees staff using public chatbots with client data. We introduce an approved toolset, clear usage rules and training within weeks.
EU AI Act Exposure Assessment
A company selling into Europe needs to know whether any of its AI features fall into the high-risk category. We inventory systems, classify them and plan required documentation and controls.
AI Center of Excellence Setup
A regional enterprise wants to stop every department hiring its own data scientists. We design a hub-and-spoke model with shared standards, tools and a pipeline of reviewed use cases.
Model Risk Management for Financial Services
A lender uses credit scoring models and now adds generative AI to customer service. We extend its model risk framework to cover language models, vendors and new failure modes.
Board-Level AI Briefing and Strategy
Directors want a clear view of opportunities and risks before approving investment. We deliver an executive briefing, a risk appetite statement and a first-wave investment proposal.
Technology
Frameworks and Tools We Use
Recognized frameworks give your governance credibility; practical tools make it work day to day.
- NIST AI RMF
- ISO/IEC 42001
- ISO/IEC 23894
- EU AI Act
- OECD AI Principles
- Microsoft Purview
- Azure AI Content Safety
- Amazon Bedrock Guardrails
- Google Vertex AI Model Registry
- MLflow Model Registry
- Fairlearn
- SHAP
- Model Cards
- Jira
- Confluence
Platforms
Deliver AI Strategy and AI Governance on Your Preferred Platform
- Microsoft AzureModernize data, analytics and AI within your Azure tenant.Explore
- AWSBuild, migrate and run data and AI workloads on Amazon Web Services.Explore
- Google CloudBigQuery, Looker and Vertex AI for data-driven organizations.Explore
- MicrosoftPower BI, Power Platform, Fabric and Dynamics 365.Explore
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · HR tech
AI candidate screening and matching for an HR tech startup
An HR tech startup processing thousands of applications a month needed recruiters to spend less time screening CVs. We built resume parsing, job matching and an automated shortlisting workflow.
Read the Full StoryMore Success Stories
Fintech
+162%monthly active usersAll-in-one digital banking app for a traditional bank
A traditional financial institution wanted to compete with neobanks for mobile-first customers. We replaced a set of separate banking, investing and payment apps with one product that people use every day.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Build an AI Strategy Your Board Can Back
Book a free consultation to discuss your AI ambitions, current initiatives and risk concerns. We will outline a practical program to prioritize use cases and govern them proportionately.
AI Strategy and AI Governance FAQ
What does an AI strategy engagement actually deliver?
You receive a prioritized portfolio of AI use cases with value estimates and owners, a sequenced roadmap, an assessment of data, platform and skills readiness, and a recommended operating model with roles and funding. Where governance is in scope, you also receive policies, a risk classification method, review workflows and templates. Everything is written for action: each first-wave use case has defined success metrics and a next step that can begin immediately after the engagement.
How long does it take and what does it cost?
A focused strategy for one business unit typically takes six to eight weeks; an enterprise-wide strategy combined with a governance framework usually takes ten to fourteen weeks. Cost depends on the number of business areas, stakeholders and AI systems in scope, and on whether we also implement controls in tooling. After an initial conversation we provide a fixed-price proposal with a clear list of deliverables, so there are no open-ended consulting fees.
Which governance framework should we follow?
Most organizations benefit from combining them. The NIST AI Risk Management Framework offers a practical, voluntary structure around four functions: Govern, Map, Measure and Manage. ISO/IEC 42001 defines a certifiable AI management system, useful if customers expect formal assurance. The EU AI Act is law for systems placed on the EU market or affecting people there. We map your obligations and build one integrated framework instead of three parallel ones.
Does the EU AI Act apply to us if we are not based in Europe?
It can. The regulation applies to providers and deployers of AI systems placed on the EU market or whose outputs are used in the EU, regardless of where the company is headquartered. Obligations depend on the risk category, ranging from prohibited practices to high-risk systems and transparency duties for certain AI. Requirements are being phased in over several years and implementation details continue to evolve, so we review the current official text with your legal counsel during the assessment.
How do you prevent governance from slowing teams down?
We make controls proportionate to risk. A low-risk internal productivity tool might need only a short registration form and an automated check, while a system affecting customers’ access to credit or employment needs a full impact assessment and human oversight design. We also publish approved patterns, models and data sources, so teams reuse pre-reviewed components instead of starting reviews from scratch. We measure approval cycle times and adjust the process when it creates bottlenecks.
Can you also implement the use cases in the roadmap?
Yes. Unlike pure advisory firms, Hanoi Technology has engineering teams in generative AI, machine learning, optimization, data and cloud. Many clients ask us to deliver the first-wave use cases immediately after the strategy, which keeps continuity and ensures the roadmap is realistic. You are equally free to deliver with internal teams or other partners; we document everything so the strategy stands on its own.