Sendient AI Services

AI Consulting

Sendient’s consultancy services that are tuned to empower businesses to harness the full potential of AI, turning complex challenges into growth opportunities.

Highly collaborative

Sendient is highly collaborative, working closely with clients to uncover unique AI opportunities specific to their industry and business needs. Our AI Services extend across various AI applications including machine learning, natural language processing and data analytics. We can provide guidance on when to build new AI models and when to integrate with pre-existing frameworks. 

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Understanding The Art of The Possible

Our goal is to demystify AI for our clients, offering insight and strategic guidance that is accessible and actionable. Through understanding your organisation, your data, your processes and your 3rd party interconnects, our AI consulting services identify areas where AI can bring immediate value, and develop a roadmap aligned with your organisational goals and objectives. 

Focusing on building efficiencies, optimising processes and reducing costs

Empower

Through personalised workshops, training, and ongoing support, we aim to not only implement AI solutions but also empower your team with the knowledge and skills necessary to navigate the AI journey independently. We are committed to driving innovation, enhancing operational efficiency, and instilling a culture of continuous learning and adaptation.  This helps our clients maximise the opportunity from AI whilst reducing costs, and maximising efficiencies.

AI Services For All Organisations, No Matter Where They Are On Their AI Journey

Sendient AI creation horizon

Every engagement is different – however Sendient operates to a defined methodology to ensure each engagement is approached consistently.

AI Kick Off

In the AI Kick Off stage, we work closely with organisations that are new to AI, helping them lay the foundation for a successful AI strategy. Our team of AI experts collaborates with key stakeholders to understand business objectives, identify opportunities for AI adoption, and define a clear AI value proposition tailored to the organisation's needs. We provide guidance on AI best practices, industry trends, and potential use cases to kick start the AI journey with confidence.

Horizon 1 - Data Modernisation and Preparation

For organisations that already have an AI strategy in place but require assistance in preparing their data infrastructure, our horizon 1 engagement focuses on data modernisation and preparation. We conduct a comprehensive review of the organisation's data landscape, including both structured and unstructured data sources, to assess data quality, availability, and maturity. Based on our findings, we develop data management plans, access policies, and operating models to ensure data readiness for AI deployment. Our goal is to empower organisations to leverage their data assets effectively and lay the groundwork for future AI initiatives.

Horizon 2 - Identifying AI Augmented Capabilities

In the horizon 2 engagement model, we partner with organisations to identify specific areas where AI can add value and drive business impact. We collaborate with stakeholders to identify AI augmented capabilities, such as predictive analytics, natural language processing, or computer vision, that align with strategic objectives and operational needs. Our team develops robust business cases and defines clear return on investment (ROI) metrics to quantify the value of AI initiatives. Additionally, we assist in defining architecture and implementation plans that leverage internal and external datasets to support AI-driven solutions effectively.

Horizon 3 - Building Intelligence AI Solutions

Our Horizon 3 engagements focus on building intelligent AI solutions and insights that propel organisations towards digital transformation. We deploy Advanced AI integrations with leading cloud platforms such as AWS and Azure, to develop tailored solutions that address bespoke business challenges. Our team of data scientists and data architects frequently utilise private GPTs to build nuanced AI models that capture the unique nuances of each organisation's data and domain. We create fully autonomous systems that seamlessly integrate human expertise with machine intelligence, ensuring full coherence and alignment with business objectives.

AI Consultancy - A Recipe For Success

Every engagement is different – however Sendient operates to a defined methodology to ensure each engagement is approached consistently.

Discovery and Horizon Setting: Where are we going and why?

1. Discovery

Review business goals and objectives, and identify current situational awareness

  • Understanding your organisation: What’s important to you and your strategic goals and objectives. What ambitions, values and challenges are currently faced?
  • Current Assessment: What types of systems, what types of connections, what types of processes, what types of data. challenges, opportunities, and objectives.
  • Data Review: Identify high value data, understand access and security and what needs to be focused on/put aside

2. Strategy Definition

Determine value creation opportunities, align and articulate where AI can drive adoption of strategic goals & objectives

  • Value creation: Identify the high level areas where AI can transform efficiency and business objectives
  • Define AI Goals: Specific, measurable AI goals aligned with business objectives aligned with the strategy identified in the initial discovery/review phase
  • Strategic roadmap: Developed to outline key milestones and timelines
  • Signoff: Submit back to stakeholder group to determine initial appetite, approval and governance requirements

3. Solution Design

Architecture design and prototype build out services.

  • Data Modernisation: Design a data management plan that focuses on high value data, harmonising access, use and confidentiality, integrity and availability within the field of AI use and adoption
  • Architect the AI system: Design, focusing on scalability, security and integration capabilities
  • Define functional requirements for AI solutions: Including feature sets and user interactions
  • Prototyping: Build prototypes to validate concepts and demonstrate potential impact

Implementation and Operationalisation: Delivering Intelligent Insights

4. Development & Implementation

Building & Integrating

  • Agile development: Build initial pilot phase, leverage existing partnerships, resources and technology to deliver rapid AI solutions with continuous client feedback
  • Integrate: Build and pilot robust integrated AI solutions into your systems and workflows
  • Validation: Quality assurance built into our AI with rigorous testing for accuracy, performance, and user acceptance

5. Deployment & Monitoring

Go-Live & Support

  • Deploy: Pilot the solutions and service and deploy AI solutions in production environments in line with change control
  • Training: Provide user training and assist with material development
  • Continuous monitoring: Support for operational teams overseeing the performance and scalability of the services. Providing ongoing support and maintenance

6. Evolution & Optimisation

Continuous Improvement

  • Continuous review: Regular reviews of AI solution impacts and new opportunities.
  • Operational value: Iterative improvements and updates to ensure alignment with evolving business goals.

Sendient’s consultants support organisations of all sizes and of all data and AI maturity levels achieve their desired goals and outcomes from Artificial Intelligence.  Our  AI consultancy services provide a structured and comprehensive approach to AI adoption, guiding organisations through each stage of their AI journey with expertise and confidence. Whether you're just starting with AI or looking to advance your existing initiatives, Sendient is here to empower your organisation and drive meaningful results with AI.

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