0333 444 0881
0333 444 0881

AI Project Deployment Advisory Service

 

It is not always easy for organisations to incorporate Artifical Intelligence (AI)/ Machine Learning (ML) into their existing Business Intelligence (BI) systems. However, combining AI/ML with BI can have a widespread impact on the insights an organisation can get from its data. We provide experienced AI leadership and a safe hand to help marshal the delivery of your AI/ ML projects. Our AI Project Deployment Service provides a catalyst for effective project management by enabling a systematic approach to capability delivery in your AI conscious organisation. Whether you have an in-house or third-party team, our consultants will guide you on how to integrate AI in your organisation to ensure your implementation is a success.

 

Our AI Project Deployment Service is designed to help Project Teams, Product Teams and other stakeholders to understand and prioritise the actions that will have the greatest impact on an AI project in their unique context. It will help with

  • the development of a business case for the project
  • defining the success metrics
  • scoping the work required
  • looking at the risks involved and managing those risks
  • dealing with changes
  • ensuring the project delivers the expected outcomes and benefits.

 Service Features

Identify high ROI AI projects and help determine the business value and feasibility of the AI projects.

Conduct technical, business, and ethical due diligence of the AI project.

Support implementation of best practices for data collection and data normalisation.

Oversee engineering and roll out of AI Proof of Concept (POC), and implementation of AI Pilot deployment.

Investigation and resolution recommendations for any AI/ML project problems.

Comparison and evaluation of the performance of learned models using suitable metrics.

AI/ML Delivery Assurance and Quality Assurance to ensure projects deliver expected results.

Change management and transformation support.

Service Benefits

Establish consistent governance throughout an AI project with project and product teams.

Establish strategies for mitigating unwanted bias in the model and project.

Comply with legal, regulatory as well as organisation’s own requirements to drive trust in the use of AI by stakeholders.

Development of methodology, standards and other technical and data related documentation to sufficiently skilled resources to support the AI project.

Build an AI project team that can manage data and test product efficacy.

Establish ongoing strategies for measuring the success of AI projects.

Understand impact of existing control gaps to drive improvements.

Experienced ownership and leadership of your project’s AI function.

Getting Started

During a Client engagement our Consultants pass through six key phases that form the anatomy of how we manage a typical consulting project.  We appreciate every assignment is different, so we have flexible processes in place to bring our experts onboard quickly and effectively without disrupting existing work programmes. We are happy to provide our services at any stage of the lifecycle.

AI Service Engagement Lifecycle

Helping You Build An AI Enabled Organisation

 AI can be used by organisations to provide new goods and services, boost productivity, enhance competitiveness, ultimately leading to economic growth and better quality of life.
Learn more about how we can help you achieve your critical priorities:

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