Leveraging AI to augment Growth

Our experts spend time understanding what AI must achieve for your business. We survey your technology estate and views of stakeholders. We use a comprehensive Irada AITM framework to report the state of readiness, opportunities that can be leveraged and the areas to strengthen.

Extend the Readiness Assessment to a master blueprint that sets the right vision, strategy, plan, and business need for AI. Get a line of sight to your AI roadmap comprising quick wins, investments, changes to technology, and uplift in data governance practices. Use it to gain the personal buy-in of stakeholders as the business case builds. 

 Analyse the net returns of a project, evaluate the cost and benefit equation, resolve the dependencies. Use it to prioritise initiatives, seek management approvals, secure funding, and monitor its performance in a project portfolio.

Validate before you buy. We can create a data and AI environment testbed on Microsoft Fabric to run experiments and trials to confirm viability and make a comprehensive risk assessment.

We architect, design, procure, build, and hand over a complete AI tech stack for a transparent and accessible data supply chain. We integrate the data pipeline, configure the appropriate data storage architecture, analytics databases, AI-assisted BI reporting, and monitoring dashboards. . We configure and set your data governance tools for managing metadata, reference data, and master data. Your existing vendor arrangements are leveraged and assist in setting up new ones. The Irada delivery methodology instils confidence among data-dependent stakeholders and builds trust in the data they use.

Identify the data needs of the enterprise and develop the master data blueprint to meet those needs. The output, tailored to your needs, may include several aspects such as implementation roadmap, enterprise data definitions and model, and data architecture comprising security, storage, flows, environments, and continuity, etc. Use it to guide the infrastructure and solutions design.

 Discover, analyse, and scope data requirements to produce the conceptual, logical, and physical data models. 

 Implement solutions to ingest, store, unify, and share data. Build datasets for data scientists and business users to analyse, report, and train AI.

Create the blueprint for AI related changes that lead to the new desired state. Understand the impact, assign leadership accountabilities, and know the sequence and timing of change. Institute a model for monitoring and reporting the impact of data governance and AI activities.

Have our change specialists assist in executing your Change Plan with communicating, coordinating, and supporting staff as they adopt the new practices. Have our specialists support your technology RFP for vendor evaluation, selection, and onboarding processes.

Powerful, visual, interactive dashboards on Power BI, Tableau, and Streamlit that deliver information to users on desktops, tablets, and mobile devices. Leverage the natural language queries and interactivity with in-built error or anomaly detection and data summarisation of the embedded copilot.

Engage us and our team of data scientists to analyse your business challenge and build AI models based on your data, deploy them in your AI Estate, integrate them to automate your business processes, and keep them optimised over time.

Build bespoke Copilot solutions for enhanced productivity. Implement Copilot to organise your enterprise data into a natural-language access and retrieval system, finding information encoded in audio or text and summarising it on the fly.

Enable your staff to collaborate better with seamless integration between Microsoft Fabric and M365. Harness insights to improve productivity, training, and compliance.

IFRS 9 compliant expected credit loss models used in financial reserving process, disclosure reporting and powerful credit scorecard models.

AI recommendations for next best offers  with generative AI copilot personalising the experience without human intervention. 

24/7 monitoring, alerting, backups, billing management, support ticket management and escalation procedures to meet agreed service level agreements. 

Scheduled review of your AI Estate performance and consumption patterns for opportunities to optimise cost. All these optimisations are possible now and into the future with your AI Estate. 4