Design an AI Strategy That Keeps You Ahead - And In Control
Turn AI from a buzzword into a secure, practical advantage for your organisation
Eva Consulting helps companies of any size design and execute AI strategies that are grounded in reality, aligned to your business goals, and safe for your data, customers and brand.
For many leaders, AI feels both urgent and uncertain
The Problems We Solve
- You know competitors are experimenting with AI, but you’re unsure where to start
- Internal teams are testing tools without a clear strategy, guardrails or governance
- You’re concerned about data security, confidentiality and regulatory obligations
- You don’t have a clear view of which AI use cases will actually move the needle
- Your technology stack wasn’t designed with agentic AI or large language models in mind
- You need a path from “interesting prototype” to stable, production-ready capability
Frequently Asked Questions
Explore how Eva Consulting approaches AI strategy, implementation, and integration. These FAQs clarify our methodology, what to expect when working with us, and how we help organisations adopt AI safely, pragmatically, and at scale.
What does “AI Strategy” mean in the context of Eva Consulting’s services?
For us, AI Strategy is the structured plan for how your organisation will identify, prioritise, and implement AI capabilities—such as agentic AI, large language models, and automation—so they align with your business objectives, risk appetite, data landscape, and technology architecture. It connects high-level vision with a practical execution roadmap.
How does Eva Consulting approach designing an AI roadmap for an organisation?
We start with discovery: clarifying your strategic goals, constraints, and existing platforms. We then identify and qualify AI use cases based on impact and effort, assess data readiness and integration options, and define an incremental roadmap with clear phases—pilots, scaling, and operationalisation—along with guardrails for security, governance, and change management.
How do you ensure AI initiatives are secure and compliant, especially for banking and financial services?
Security and compliance are embedded from the outset. We align AI architectures with your existing controls, including data segregation, encryption, and access management, and consider relevant regulatory expectations (such as data residency and auditability). We also design processes for human oversight, model monitoring, and incident response, so AI remains transparent, explainable, and controlled.
Can Eva Consulting help integrate AI with our existing systems and data platforms?
Yes. Integration is a core part of our work. We design and implement patterns for connecting AI services to your core systems, APIs, and data platforms—whether on-premises or in the cloud. This includes orchestration, data adapters, and workflow automation, ensuring AI capabilities are embedded into real business processes rather than operating as isolated experiments.
What is different about Eva Consulting’s approach to AI Strategy for SMEs compared with larger enterprises?
For SMEs, we focus on pragmatic, cost-conscious adoption: prioritising a small set of high-impact use cases, leveraging cloud-native and managed AI services, and offering CTO-as-a-Service to provide ongoing strategic oversight without a full-time leadership hire. For larger enterprises, we place greater emphasis on governance frameworks, integration with complex legacy systems (such as core banking platforms), and scaled delivery models across multiple business units.
Our Customers
