CONSULTING

Unlocking AI opportunities starts with good planning

Zainode provides expert AI strategies, frameworks, education and advice so your organisation can use AI effectively, efficiently and safely.

WHAT WE DO

Bespoke AI consulting services

AI Strategy

>80% of AI projects fail because there’s no AI strategy, and it’s misaligned to corporate strategy. A good AI strategy requires deep business, tech & industry knowledge, plus understanding AI tools, LLMs & data necessary to build solutions. Our strategies pinpoint where AI adds most value.

Roadmaps

Zainode’s detailed AI implementation roadmap outlines the steps, resourcing, timelines, integrations, change management, and dependencies needed to develop an AI project, ensuring a seamless and successful integration of AI into your business.

Education & coaching

We help leaders and teams understand, use and strategically apply AI, plus manage change. Our training builds mindset, knowledge and skills needed in an AI-driven world. Our team workshops and individual sessions are complimentary for our clients.

Risk, governance & policies

We can define how an organisation manages risk and governs the responsible use, development and management of AI. This sets clear standards for ethics, privacy, accountability, risk management and compliance.

Our typical consulting approach

1. Assess current state

Understand the business context, goals, risk appetite, market dynamics, business processes, data environment, existing systems and infrastructure, your tech readiness, capability and gap analysis, your innovation and AI vision etc.
2. Data

Assess relevant available data. Zainode specialises in gathering relevant data sources then being able to clean, structure and optimise data for the AI models.
3. ID opps

Identify opportunities to use AI. Possibilities and probabilities for AI use cases aligned to strategy and competitive advantage. Translate commercial objectives into problems 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. Develop roadmap

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

Many of us in our careers will never experience change as significant as this, thanks to AI. Theoretically sound AI projects have and will continue to fail without excellent change management. Humans find ways to workaround and manipulate AI.
Our team includes world leading HCI and registered CM practitioners to give our clients the best chance of successful AI implementation.

HUMAN-COMPUTER INTERACTION

Good change mgmt & HCI are critical success factors

Our recommendations are underpinned by HCI & 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 & change expert, our team prioritises HCI and how people could be impacted by AI.

FAQ

“Where should we start with our AI journey? What should we first use AI to do?”

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