I’m Amit Lal. I connect the world of SAP with Azure and agentic AI to turn enterprise ambition into working solutions.
Explore my work ↘
01 / SELECTED WORK
A selection of public tools, experiments, and open-source projects. Built to make complex enterprise technology useful.
Explore SAP architecture through interactive 3D visualization, monitoring, and chaos engineering simulation.
Explore the live experience ↗Bring latency, compliance, and cost into the Azure region decision for SAP workloads.
Open the advisor ↗Turn Early Watch Alert reports into actionable recommendations with AI.
Explore on GitHub ↗Put agentic patterns to work in SAP operations through Microsoft TaskWeaver.
Explore on GitHub ↗02 / FRONTIER TRANSFORMATION
I help finance teams connect SAP, governed data, and AI engineering—turning fragmented reporting into repeatable analysis, explainable decisions, and controlled action.
Finance teams need a consistent account of what happened, why it changed, and what to do next. My approach starts with trusted financial logic, adds agents that can explain the evidence, and brings people into the decisions that matter.
Governed FP&A data layers. Model-to-P&L mapping. Volume/mix variance analysis. Data-quality exception queues. Read-only finance data agents.
I connect these builds with finance discovery and HVE workshop coaching, translating business requirements into working, testable software.
Connect actuals, budgets, and forecasts to consistent dimensions. Surface variance drivers and draft commentary grounded in approved data.
Build a governed P&L preparation flow: map source models and accounts, apply approved calculation rules, reconcile control totals, and route exceptions.
Design automation for reconciliations, intercompany exceptions, close coordination, and management reporting—with clear ownership and review.
I apply a structured engineering loop to finance use cases. HVE Core brings reusable agents, prompts, instructions, and skills to GitHub Copilot; finance rules and acceptance criteria give the work its direction.
Understand the decision, source systems, finance rules, and process bottlenecks.
Define the data contract, user experience, permissions, and acceptance criteria.
Use GitHub Copilot and VS Code to build bounded Python, SQL, agent, and workflow changes.
Check totals, evaluate grounded answers, review with finance, and feed lessons back into the specification.
I choose the components around the finance process, data boundaries, and operating model.
Financial calculations stay deterministic. AI explains and assists. Finance retains accountability.
Public Microsoft references
Architecture patterns informed by Microsoft documentation.
Success measures I design for: reporting cycle time, reconciliation effort, exception resolution, and answer traceability.
03 / DEVELOPER PROFILE
My top repositories, drawn from the projects pinned on my GitHub profile. Explore the source, try the examples, and build on the ideas.
A portal-based fine-tuning demo for adapting language models to SAP S/4HANA Finance terminology and workflows.
amitlals / Microsoft-Foundry-Fine-Tuning-Model-for-SAP-S-4HANA-Finance PYTHON / APPLIED RESEARCHA hands-on playground for exploring SAP’s RPT-1-OSS model and structured enterprise data.
amitlals / SAP-RPT-1-OSS-App-playground SAP / INTEGRATION SAMPLESIntegration samples connecting SAP with Azure, Logic Apps, Power Platform, and data services.
amitlals / SAP HTML / VALUE MODELINGAn unofficial beta calculator for exploring the business case for Microsoft 365 Copilot agents.
amitlals / copilot-roi-calculator L100–L400 / LEARNINGA learning path from AI fundamentals to advanced agentic patterns, with practical Azure scenarios.
amitlals / AI-Mastery-Roadmap-2025-Business-AI-Azure-AI-Agentic-AI-Beginner-to-Expert-L100-L400- PYTHON / AGENT SKILLSA Claude Skills implementation for working with SAP-RPT-1-OSS prediction capabilities.
amitlals / sap-rpt1-oss-predictorFeatured from GitHub’s pinned selection · September 10, 2026.
AMIT LAL / THE HUMAN BEHIND THE BUILD04 / ENTERPRISE EXPERIENCE. BUILDER ENERGY.
I bring deep SAP and cloud experience to the frontier of applied AI. My work spans architecture, hands-on prototyping, and helping teams connect technology decisions to business outcomes.
As part of Microsoft Frontier Company, my focus is practical: bring enterprise context into AI engineering, build with customers, and make trust a design principle from day one.
SAP and Azure architecture
02Extend the possibleCopilot and agentic workflows
03Make knowledge usefulApplied research and technical storytelling
05 / IDEAS IN THE OPEN
Research, conversations, and practical perspectives from the enterprise AI front line.
In-context learning and traditional ML on structured SAP data.
My book and writing on how AI will reshape business.
Technical walkthroughs, SAP + Azure conversations, and agentic AI.
AI, SAP, and Azure insights for technical leaders and builders.
LET’S BUILD SOMETHING THAT MATTERS.
What’s your