Hexaware’s Agentic AI Consulting for Manufacturing

As your consulting partner, Hexaware helps manufacturers overcome critical challenges posed by siloed data, legacy software, and the resulting functionality gaps that hinder agility. We diagnose key value levers and build a pragmatic roadmap that leverages Microsoft Azure to bridge these systems, using our Agentverse of agentic AI accelerators on Azure

Operational Intelligence (OI)

• Visual quality & defect detection: Inspection, labeling, thresholds
• Anomaly detection & early warning: Alert taxonomy, confidence thresholds
• Digital-worker guidance: Upgrade to conversational guidance
• Predictive maintenance: Prioritize assets; align data to failures
AI-enabled training: Choose VR/web/3D; enable SME no-code updates.

Supply Chain

• Planning & forecasting workflows: Fix signals for S&OP; simulated decision making
• Control tower: Unified data and alerts; tiered responses; SLA-driven actions.
• Risk, compliance & resilience analytics: Central risk register; thresholds; monitoring; stress tests; approval switches.
• Supply-chain copilot: Automate routine; design guardrails; triage exceptions; escalate material.

Customer Experience

• Configure-Price-Quote (CPQ): Product/price governance, approvals, telemetry; faster quotes
• Omnichannel engagement driven via unified customer/data model
• After-sales service & warranty: fraud signals; predictive parts; lower TAT
• Unit economics & outcomes (section wrapper): Transparent tokens/compute/storage; per-quote/per-case payback

Consulting engagement framework (with agentic data & platform choices)

• Initial set-up: Agentic data plane - Connect the right data, define key events, assign ownership, and set access controls
• Platform strategy & MCP decisions - Buy, build, or augment; shortlist vendors; weigh fit, cost, risk, timeline
• Discover & assess - Baseline KPIs, map constraints, confirm data readiness, and prioritize use cases by value
• Design & plan - Blueprint, governance and approvals; define success measures, resources, and timeline.
• Prove (pilot) - Production-like MVP, collect evidence, and decide go/no-go with stakeholders
• Scale - operations, train teams, monitor SLAs, track benefits, and manage costs transparently
• Operate & optimize - Establish cadence for reviews, handle incidents, retrain models, and refresh the roadmap

Compliance & Responsible-AI

• Safer by design: Clear governance and accountability on high-impact actions; transparent decision logs.
• Data respect: Strong protection and minimization by default; access controlled and auditable.
• Fair, human-centric AI: Bias reduction “for everyone,” with empathetic, flexible experiences and HITL where it matters.

Key Azure Services: Azure IoT Hub, Azure Event Hubs, Azure ML, Azure AI Foundry, Azure Monitor/Log Analytics, Azure Data Lake and Power BI.

*Price depends on the scope of engagement