Global Industry Consulting Firm – AI Advisory & Getting Started, and AI-Driven Engineering & Safety Workflows
US-based industry consulting firm with regional headquarters in Singapore, serving oil & gas, chemicals, and manufacturing clients across Asia-Pacific.
Engagement scope: AI Advisory and Getting Started engagement with top management, AI automation across engineering document workflows, process safety, and field operations.
The client was highly-technical, experienced and AI-savvy, representing numerous AI vendor partners to its clientele. However, adoption of agentic AI internally had yet to take off. The services arm of the client faced high manual effort across four parallel workflows: Hazard & Operability (HAZOP) documentation analysis, Piping & Instrumentation Diagram (P&ID) redline extraction, Quality Assurance/Quality Control (QA/QC) defect detection, and Process Safety Management (PSM) system integration. Each was handled manually with significant engineer time and error risk.
B-Sharp AI held AI Advisory and Getting Started sessions with the management team to get them up to speed using agentic AI in their daily routines. B-Sharp AI also deployed custom AI pipelines for each manually-intensive workflow using Claude and Anthropic APIs. The solutions included an agentic AI integration for one of their client’s PSM systems, as well as integration to a mobile 5G & IoT hub for field deployment using head-mounted tablets and similar devices. Additionally, an AI platform comparison analysis was conducted to support the client’s broader agentic AI strategy.
Management team brought up to speed to gain the power of agentic AI. Automated pipelines deployed across all four engineering workflows, reducing manual engineer effort and improving accuracy of safety-critical documentation. Platform comparison analysis delivered as a structured decision framework for the client’s agentic AI investment planning.
Major Australian Retailer – Agentic AI for S&OP
Australia’s largest home improvement retailer. Engagement with head of Sales & Operations Planning (S&OP).
Engagement scope: agentic AI adoption across S&OP and supply chain execution.
Manual S&OP exception management was creating bottlenecks across a high-volume, high-SKU supply chain. Forecast exceptions and supply execution alerts required human intervention at a scale that was not sustainable. The organization needed AI that could triage, prioritize, and act on exceptions – not just flag them.
B-Sharp AI conducted a structured agentic AI readiness assessment and designed a two-platform architecture taking advantage of tools and infrastructure the client already had in place but was not utilizing: Microsoft Copilot / Copilot Studio for supply chain execution exception automation, integrating with existing Microsoft infrastructure; and Blue Yonder Cognitive Solutions for demand forecast exception management, enabling an AI-driven S&OP workflow automation. A phased adoption roadmap was delivered covering 24 months of deployment, with projected benefits modeled against current manual intervention costs and lost margin from unresolved exceptions.
Projected benefits of A$42–80 million over 24 months across inventory optimization, exception resolution velocity, and demand forecast accuracy.
Deliverable: board-ready roadmap and business case.
Singapore Healthcare Provider – AI Getting Started & Website Automation
Independent dental clinic, Singapore.
Engagement scope: AI in-housing, systems analysis, and agentic website automation.
The client had limited resources for internal administrative and systems support, relied heavily on outsourcing for website and application development, and had no clear view of how to optimize AI usage internally. The objective was to establish self-sufficient AI use and automate routine digital tasks – without adding headcount while reducing reliance on outsourcing.
B-Sharp AI delivered an AI getting-started program covering tool selection, governance, and prompt engineering, alongside a full systems analysis for integration planning. An agentic AI pipeline was built for website development, improvement, and deployment using Claude / Cowork, Vercel / GitHub, WhatsApp MCP, and LinkedIn MCP.
Client achieved self-sufficient AI use across core business functions within the engagement period. Website now maintained and deployed through an automated pipeline with no developer dependency. In-housing plan delivered with defined roles, tools, and governance framework.