Data & AI

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Data & AI

Your stakeholders are keen to ‘do more’ with AI – but without the right foundation, it’s easy to misfire. We help organisations move beyond AI exploration into real, working capability integrated into business operations, governed by design, and architected for scale. Our approach bridges business priorities with emerging capability, enabling confident, strategic steps toward sustainable AI adoption.

Agent-Oriented Architecture

How do you future-proof your move into AI when technology advancements are so rapid and uncertainty is so high? Intelligent Pathways’ Agent-Oriented Architecture-led approach is grounded in the fundamentals of successful technology adoption – strategic alignment, business outcome-led and practically executed around core business operations and workflows.

Agent orientation modularises tasks, actions and decisions for us to design adaptive solutions leveraging human skills, AI and agentic technologies to deliver business value sensitive to the change management required for sustainable adoption.

With Outcome-Focused Agent Lifecycle Management, we help businesses achieve immediate value while staying adaptable to AI’s rapid evolution.

Building the Business Value of Data & AI

Our Data & AI services build the business value of your data through strategic alignment and engineering excellence.

We grow your data capabilities with modern platforms built on Microsoft Azure, Databricks, and AWS, creating secure, scalable foundations to support your AI systems.

These strong data foundations enable us to deliver data solutions, digital experiences and transformed processes leveraging AI to unlock value and recalibrate risk.

Strategic Stakeholder Engagement for AI Adoption

We take a business-first  approach to AI, ensuring solutions drive measurable value rather than chasing hype. Our Agent-Oriented Architecture enables scalable, event-driven AI solutions that enhance decision-making and automate high-value tasks.

With Value-Led Prioritisation, we focus on AI opportunities that deliver real business impact—enhancing efficiency, unlocking new capabilities, and driving smarter decision-making. Our Agile AI Agent Delivery model ensures iterative, outcome-driven AI implementation that evolves alongside your business.

Crafting New Solutions

Digital Experience Creation

Leveraging our two decades of development experience we craft new applications injected with fit-for-purpose AI patterns and functionality. Our strategic approach ensures business value is front and centre whilst our development rigour provides for a scalable and performant solution.

Data Solutions

Creating solutions to enable the growing data workforce to easily search, discover, access and interrogate trusted data sets critical to delivering insights and data products with confidence. We deliver efficient and optimised data structures including cloud databases, lakehouses and real-time/ CDC data pipelines.

Process Transformation

AI capability has the potential to rewrite business processes. We work with you to explore existing process and business workflows to identify where and how AI patterns can facilitate process improvement.

Built on Solid Foundations

Strategy & Design

We work closely with you to develop and implement a Data & AI Strategy aligned with your organisational goals. Through deep stakeholder engagement, facilitated by structured workshops and consultations, we ensure alignment between business objectives and data opportunities using our AI Application Framework. By designing AI programs and exploring use cases through focused, contained pilots, we help you evaluate and unlock the potential of AI in a practical and impactful way.

Platform Architecture & Delivery

We architect the technical foundations for scalable and secure data ecosystems, including the design and delivery of cloud-native data platforms. We facilitate strong data enablement through automated ingestion pipelines, classification, and metadata management, coupled with MLOps and AIOps capabilities to support AI-driven innovation.

Engineering & Operations

We operationalise data and AI solutions with a focus on end-to-end lifecycle management, from data engineering and pipeline optimization to model management, deployment, and monitoring. We leverage DataOps/ MLOps practices to ensure efficient data handling, model reliability, and continuous delivery of insights.

Service Options

Getting Started: Discovery Workshops Structure

Intelligent Pathways’ AI Discovery Workshops are a catalyst for turning curiosity into capability. Designed for business and operational leaders, these sessions offer a structured yet flexible approach to uncovering how AI can deliver real impact within your organisation.

By combining practical exploration with foundational education, our workshops cut through the hype, demystify key concepts, identify high-value use cases, and assess readiness across people, processes, and platforms.

The outcome is a clear, prioritised pathway to AI adoption – grounded firmly in your business context and ready for immediate mobilisation.

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Technology Partners

Microsoft Partner
AWS Partner

Our partnerships with Microsoft and AWS ensures that we have the skills and experience to leverage the AI and supporting services to create robust, secure and performant solutions that fit into your technology ecosystem. In a rapidly evolving technology landscape we also adapt to and leverage technologies such as Databricks for advance data management, bringing our deep skills in DevOps and integration to create strong data pipelines. We continually assess language models to meet the needs of our various customer domains and use cases.

Use Cases

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Frequently Asked Questions

How do organisations see value from AI in the first year?

The fastest returns come from automating repetitive knowledge work, improving decision-making with reliable data, and deploying AI tools that accelerate business processes. We focus on use cases that deliver measurable improvements in efficiency, accuracy, and cost reduction.

How do we move beyond pilots and POC?

We scale AI by building on strong foundations: governance, risk mitigation, and security first; then deploying under technical and organisational control parameters; then expanding through reusable system components. This ensures investment translates into sustainable capability, not isolated experiments.

What governance do we need for responsible AI?

 Responsible AI requires visibility and accountable control across:

  • Data lineage, consent, and sovereignty
  • Risk monitoring for bias, drift, and hallucination
  • Human review at critical decision points
  • Audit trails and explainability

We embed these guardrails into your technology platforms (Azure, Databricks, AWS) in ways that align with regulatory obligations and organisational risk requirements.

How do you handle privacy, security, and data residency?

Your data stays under your control. We enforce rigorous security measures including identity and access management, encryption, data masking, and network safeguards. Our implementations respect data residency and sovereignty rules, and comply with your internal policies and relevant standards.

Can you work with Microsoft, Databricks, and AWS?

Yes. We’re platform-independant and build on Azure OpenAI/Fabric, Databricks (Lakehouse, MLflow), and AWS (Bedrock/SageMaker). We choose platforms based on what delivers the best business value, leverages your current investments, and avoids lock-in.

What if our data isn’t ready?

That’s common. We focus on the data required for the highest-value use case. In parallel, we uplift your data foundations (governance, pipelines, catalogs) so capability grows alongside delivery.

How do you ensure adoption across the business?

We embed adoption into every engagement. We provide executive briefings, training, playbooks, and KPIs tied to business outcomes. AI isn’t delivered and forgotten – it’s embedded into daily workflows so teams use it confidently and consistently from day one.

How do I know which use case to pursue?

Selecting an initial use case depends on business goals, challenges, and available data. The best starting points are often where automation, predictive insights, or operational efficiency will deliver clear benefits. Our discovery sessions align potential solutions with your strategy to prioritise the right path.

AI model categories

We work with a range of AI models, including:

  • Machine Learning – predictive analytics, classification, detection
  • Generative AI – text generation, summarisation, chatbots
  • Natural Language Processing (NLP) – sentiment analysis, transcription, customer interaction
  • Computer Vision – image recognition, feature extraction, detection
What does a typical engagement look like?

We begin with a discovery and roadmap session to understand your goals and challenges. From there, we co-design tailored solutions, deliver prototypes or proofs of concept, and guide implementation to ensure seamless integration into existing systems. Our approach is consultative, agile, and outcome-focused.

What differentiates Intelligent Pathways from others?/

We deliver fit-for-purpose solutions that align technology with business outcomes. You get deep integration expertise, architecture-led delivery, ensuring AI outcomes are secure, scalable and measurable. Unlike many vendors who stop at pilots or experiments, we focus on turning ideas into reliable production capability.

Insights