AI CONSULTING

Guiding your AI journey

From finding your next use case, developing AI strategies, to model creation and deployment assistance, Zai Node’s experts can guide you along the way.

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What we do

AI strategy

Most AI projects fail because there’s no overarching board-level vision and AI strategy. AI strategy requires corporate strategy and AI experience.
ROI proof

Defining success criteria and ROI models for AI use cases based on your goals and data platforms.
Education

AI education for boards and executive leaders, our training builds mindset, knowledge and skills needed to create, use and govern AI.
Deployment advice

We help you deploy any model anywhere. Multiple options are available from managed deployment (including hyperscalers), to self-deployment and edge.
AI safety

Defining risk and govern AI responsible use with standards for ethics, privacy and compliance. Avoid biased/wrong outputs and leaked data.

CUSTOM LEARNING PROGRAMS

Courses & workshops for all levels*

C-SUITE

For CEOs and C-suite leaders who want to understand how to shape strategy that uses AI to drive the growth and transform performance.

BOARD DIRECTORS

Half-day Board workshop for NEDs who want to build up their AI knowledge to engage with confidence on AI topics.

SENIOR LEADERS

One-day course to understand how best to deploy and use AI.

TECHNICAL LEADERS

Multi-day program for digital and tech functions who oversee high-impact AI projects.

* For each participant, we’ll show you personally how to build and use AI to best suit your role.

Our typical consulting approach

1. Current state

Business context, profit drivers, goals, risk appetite, processes, systems, tech readiness, capability, AI vision etc.
2. Data

Assess available data, cleanliness, structure etc. for AI models.
3. Opportunities

Possibilities and probabilities for AI, aligned to strategy and competitive advantage. Translate commercial problems into opportunities that tech may solve.
4. Design framework

Establish policies, governance, and ethical standards to guide responsible AI adoption.
5. Design architecture

Define the tech, infra and tools needed to support scalable AI initiatives. Choose the algorithms and methods that fit the specific tasks.
6. Roadmap

Clear, phased plan, outlining quick wins and long-term investments to deliver measurable results.
7. Change management

Our team includes world leading HCI and registered CM practitioners to give our clients the best chance of successful AI implementation.

Where should we start our AI journey? What should we use AI to do?

Our view is to look at business processes which is highly used, human bound and resource intense. It might be revenue and/or cost related. It’s tempting to start with an internal chatbot, but often they don’t make enough difference.

HUMAN-COMPUTER INTERACTION

Good change management & HCI are critical success factors

Our work is underpinned by HCI and change management expertise. We’ve seen many AI projects fail because humans find workarounds and don’t like change, and poorly developed or threatening tech frustrates humans. Led by a world renowned HCI and change expert, Zai Node’s team prioritises HCI and how people could be impacted by AI.