{"hero":{"name":"Dzmitryi Kharlanau","title":"SAP AMS, AI Support Automation, and Process Optimization","subtitle":"I work with SAP AMS support, incident analysis, SD/MM issues, master data problems, and AI-assisted workflows that help support teams reduce repeated work and improve operational knowledge.","current_role":"Built on hands-on SAP experience across SAP support, logistics, master data, migration, and operational analysis — with current work as a Senior SAP Consultant at <a href=\"https://www.epam.com\" target=\"_blank\" rel=\"noopener noreferrer\">EPAM Systems</a>.","perspective":"","profile":{"image":"/assets/img/DzmitryiKharlanau.png","image_webp":"/assets/img/DzmitryiKharlanau.webp","image_avif":"/assets/img/DzmitryiKharlanau.avif","alt":"Dzmitryi Kharlanau","contacts":[{"label":"Connect on LinkedIn","url":"https://www.linkedin.com/in/dkharlanau","external":true,"style":"primary"}]}},"gartner_stats":{"eyebrow":"Signals from enterprise AI research","title":"Industry Signals","intro":"Research signals that support lower lock-in, lower TCO, and practical AI operating models.","quote":"The winners will reduce switching cost, keep the core clean, and scale agents without creating a new vendor lock-in.","items":[{"value":"40%+","label":"Agent Fail Risk","detail":"of agentic AI projects are predicted to be canceled by the end of 2027 when value, controls, and workflow fit are weak.","source_label":"Gartner, 2025","source_url":"https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027"},{"value":"62%","label":"Lower Lock-In","detail":"of IT leaders named reduced vendor lock-in as a top open-source benefit.","source_label":"Linux Foundation Europe","source_url":"https://www.linuxfoundation.org/press/linux-foundation-europe-report-finds-open-source-drives-innovation-and-digital-sovereignty-but-strategic-maturity-gaps-persist"},{"value":"58%","label":"Lower TCO","detail":"identified lower cost of software ownership as a key gain from open, replaceable components.","source_label":"Linux Foundation Europe","source_url":"https://www.linuxfoundation.org/press/linux-foundation-europe-report-finds-open-source-drives-innovation-and-digital-sovereignty-but-strategic-maturity-gaps-persist"},{"value":"Clean Core","label":"SAP TCO Signal","detail":"SAP linked decoupled, side-by-side extensibility directly to lower total cost of ownership.","source_label":"SAP, 2025","source_url":"https://news.sap.com/2025/08/extend-sap-s4hana-cloud-right-way-clean-clear/"},{"value":"Open","label":"Cross-Vendor Agents","detail":"SAP publicly stated that agents cannot deliver real value inside a single-vendor landscape.","source_label":"SAP, 2025","source_url":"https://news.sap.com/2025/04/sap-google-cloud-enterprise-ai-open-agent-collaboration-model-choice-multimodal-intelligence/"},{"value":"1M+","label":"Support at Scale","detail":"AI support scenarios were called more than 1 million times per average day at SAP.","source_label":"SAP, 2025","source_url":"https://news.sap.com/2025/01/transforming-customer-support-ai/"}]},"focus_areas":{"eyebrow":"Where I help","title":"Practical support for SAP teams that need better operations, not more noise.","lead":"The work is aimed at SAP-heavy environments where support quality, integration reliability, and clean-core change capacity matter commercially.","items":[{"title":"SAP Support Improvement","summary":"Reduce recurring issues, improve handover, tighten ownership, and turn support from reactive patching into a more disciplined operating capability."},{"title":"SAP AMS Transformation","summary":"Reshape AMS around prevention, reusable knowledge, and measurable service improvement instead of ticket volume and vendor dependency."},{"title":"SAP Process Diagnostics","summary":"Trace where O2C, logistics, master data, or integration flows break down and identify the operational, process, or design issues behind repeat disruption."},{"title":"SAP Integration Modernization","summary":"Improve resilience across SAP and surrounding systems, reduce friction in interface-heavy landscapes, and make integration problems easier to diagnose and govern."},{"title":"Clean-Core Side-by-Side Enablement","summary":"Keep SAP core stable while adding lightweight services, mini apps, and targeted automations around the edge where they create practical business value."},{"title":"Practical SAP + AI Enablement","summary":"Use AI where it helps teams work faster and with better context: triage support work, surface reusable knowledge, assist diagnostics, and support small operational tools."}]},"engagement_framework":{"eyebrow":"How I work","title":"A practical path from recurring issues to a more usable SAP operating model.","intro":"I work with teams that need clearer diagnosis, fewer repeated failures, and a more modern support model without disrupting the core landscape.","statement_prefix":"The goal is not another abstract transformation deck. It is","statement_emphasis":"measurable support improvement","statement_suffix":"that makes SAP operations easier to run and easier to change.","layers":[{"step":"Layer 01","title":"Diagnose the real sources of support drag","icon":"troubleshoot","summary":"Map the incidents, handover gaps, integration breakpoints, ownership confusion, and recurring process failures that keep cost and noise high.","bullets":["Repeated SAP incidents and unstable business flows","Weak handover and fragmented support knowledge","Vendor-held context, opaque ownership, and delayed diagnosis"]},{"step":"Layer 02","title":"Design for clean core and operational clarity","icon":"architecture","quote":"Keep SAP core clean. Put intelligence and utility where they are easiest to govern and change.","summary":"Clarify what belongs in SAP, what should sit side-by-side, and where process, data, or integration controls need to be strengthened."},{"step":"Layer 03","title":"Implement targeted improvements","icon":"bolt","summary":"Turn the design into usable assets: diagnostics, operational memory, lightweight tools, mini apps, and automation that reduce repeat effort.","mini_cards":[{"label":"Operations","value":"Reusable support knowledge, clearer workflows, and stronger diagnostics"},{"label":"Enablement","value":"Side-by-side tools and practical AI where they reduce real operational friction"}]},{"step":"Layer 04","title":"Create business effect","icon":"trending_up","metrics":[{"label":"Recurring Issues","value":"Reduced"},{"label":"Support Model","value":"More Structured"},{"label":"Speed of Change","value":"Higher"},{"label":"Vendor Dependence","value":"Lower"}]}],"closing_prefix":"Strong SAP support is not only an operational necessity. It is the","closing_emphasis":"foundation for reliable change","closing_suffix":"across integration, process improvement, and practical AI enablement.","visual_label":"Support Knowledge"},"directions":{"eyebrow":"Projects","title":"Key Directions","lead":"Focused on SAP AMS support, reusable knowledge, and AI-assisted support automation.","items":[{"category":"AMS","title":"MemoGraphOps","summary":"Graph-based operational memory to capture context in SAP AMS.","links":[{"label":"View Dataset","url":"/datasets/ams/"}]},{"category":"AI","title":"Agentic Support","summary":"LLM agents for triage, diagnosis, and automated handover.","links":[{"label":"Agentic bytes","url":"/datasets/agentic-bytes/"}]}]},"work_history":{"eyebrow":"Career","title":"Professional Path","groups":[{"label":"Current","items":[{"company":"EPAM Systems","brand":"epam","role":"System Analyst / Senior SAP Consultant","period":"2019 — Present","note":"SAP AMS optimization, AI-enabled support models, and cross-module stabilization.","url":"https://www.epam.com"}]},{"label":"Foundations","items":[{"company":"abat","brand":"abat","role":"SAP SD / IS-Auto Consultant","period":"2014 — 2019","note":"Large-scale IS-Automotive rollouts, JIT/JIS flows, and global support handover.","url":"https://www.abat.de/en/"}]}]},"analysis_problem":{"eyebrow":"Where SAP change loses value","title":"The Problem","statement":"The change-to-run gap","intro_paragraphs":["SAP transformation should reduce cost, increase control, and create room for innovation - not lock the organization into endless support friction.","In many SAP environments, projects, AMS, architecture, business operations, and vendors still work as separate worlds. Knowledge is fragmented, handover is weak, ownership is blurred, integration logic is hidden, and support teams rediscover context under pressure.","The result is expensive: slow change, repeated defects, vendor dependency, low reuse of knowledge, and limited capacity for real innovation. The system keeps running, but the organization keeps paying to maintain complexity instead of improving how it operates."],"visual_image":{"src":"/assets/img/home/ams-operational-intelligence.png","webp":"/assets/img/home/ams-operational-intelligence.webp"},"visual_cards":[{"icon":"stack","title":"Fragmented knowledge","tone":"primary"},{"icon":"leak_remove","title":"Vendor lock-in","tone":"neutral"}],"cta":{"title":"Is your AMS a cost center or a catalyst?","detail":"Moving from reactive maintenance to proactive value generation requires a different support architecture, not just more tickets, more dashboards, or more tooling.","label":"Start AMS Analysis","url":"/services/ams-cost-center-catalyst/"}},"strategic_context":{"eyebrow":"Strategic Context","title":"Why this matters now","statement":"This is no longer only an IT efficiency issue. It is a business capability issue.","hero_cards":{"primary":{"label":"Market performance","value":"48%","title":"Only 48% of digital initiatives meet or exceed business outcome targets.","source":"Source: Gartner","icon":"monitoring"},"visual":{"quote":"Foundation dictates function. Infrastructure is the silent partner of innovation.","icon":"architecture"},"ratio":{"label":"I&O performance gap","value":"28%","detail":"Infrastructure and operations: only 28% of AI use cases fully succeed."},"multiplier":{"label":"The growth multiplier","title":"Organizations with successful AI invest","emphasis":"4x more","detail":"in foundations.","icon":"hub","tags":["Data quality","Governance","Scalability"]}}},"genai_operating_model":{"title":"Old SAP operating models turn operational history into recurring cost","statement":"There is no GenAI-ready AMS inside the old support model. It has to be built as an operational intelligence layer around SAP.","intro":"Traditional AMS was built for the ERP stabilization era: resolve the ticket, coordinate the vendor, keep the system available. That model keeps support running, but it leaves value on the table when every incident, change, data defect, and integration issue is analyzed almost from scratch.","old_model":{"eyebrow":"The Old Model","icon":"history","items":[{"label":"History","detail":"Built for post-go-live stabilization: SLA compliance, ticket closure, and vendor coordination."},{"label":"Cost Pattern","detail":"Repeat analysis, weak handover, and tribal memory create hidden run cost in every incident and change."},{"label":"Value Loss","detail":"The same root causes, interface failures, master-data issues, and process gaps reappear without becoming reusable assets."},{"label":"Velocity","detail":"Change slows because automation has no clean knowledge base, dependency map, or validated operating context."},{"label":"Impact","detail":"AMS keeps support alive, but absorbs budget that could fund simplification, automation, and innovation."}]},"new_needs":{"eyebrow":"What is Now Needed","icon":"psychology","items":[{"label":"Intelligence","detail":"Structured operational knowledge that AI can retrieve, compare, explain, and reuse."},{"label":"Economics","detail":"A value case tied to lower repeat tickets, faster MTTR, reduced handover effort, and fewer manual checks."},{"label":"Architecture","detail":"Side-by-side automation around SAP: process context, integration context, data context, and support history."},{"label":"Metrics","detail":"Track reuse rate, avoided analysis hours, automation coverage, backlog aging, defect recurrence, and change lead time."},{"label":"Velocity","detail":"Agentic loops that retrieve history, suggest root causes, validate evidence, draft actions, and accelerate support work."},{"label":"Vision","detail":"A model where AMS preserves support knowledge while compounding savings and improvement capacity."}]},"closing_quote":"The value is not one more AI feature. The value is converting years of SAP support history into reusable operational intelligence.","closing_note":"Old AMS measures ticket closure.","closing_emphasis":"New AMS measures knowledge reuse, avoided effort, faster recovery, and continuous improvement."},"ai_costs_outcomes":{"eyebrow":"Strategic Advisory 2026","title":"AI is moving from pilots to operating cost.","statement":"The 2026 question is not whether enterprises will buy AI. It is whether the operating model can prove value, govern usage, and avoid another layer of SAP complexity.","intro_quote":"The risk is no longer abstract experimentation. Agentic AI, embedded copilots, SAP Joule, AI Units, and custom assistants are becoming part of the commercial and operational landscape.","intro_detail":"That makes architecture, data readiness, process ownership, and usage governance part of the business case. Without those foundations, SAP teams can accumulate more AI features, more subscriptions, and more integration debt without improving run quality.","mandate":{"title":"2026 Mandate","detail":"Treat SAP AI adoption as an operating-model decision, not only a tooling decision. Start with clean process context, support knowledge, integration ownership, measurable use cases, and guardrails for consumption-based cost."},"stats":[{"label":"Agentic AI Risk","value":"40%+","detail":"Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027 when cost, value, and risk controls are weak.","source":"Source: Gartner","icon":"trending_down","tone":"light"},{"label":"SAP AI Footprint","value":"2,500+","detail":"SAP reported more than 2,500 Joule Skills and over 30 specialized agents in its Q1 2026 Business AI update.","source":"Source: SAP","icon":"hub","tone":"mid"},{"label":"Enterprise AI Scale","value":"8x","detail":"OpenAI reported 8x year-over-year growth in enterprise message volume, showing that adoption is scaling into repeatable workflows.","source":"Source: OpenAI","icon":"verified","tone":"dark"}],"references":[{"label":"Gartner, 2025","title":"Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027","url":"https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027"},{"label":"SAP, 2026","title":"SAP Business AI: Release Highlights Q1 2026","url":"https://news.sap.com/2026/04/sap-business-ai-release-highlights-q1-2026/"},{"label":"SAP, pricing","title":"SAP Business AI software packages and AI Units pricing","url":"https://www.sap.com/products/artificial-intelligence/pricing.html"},{"label":"OpenAI, 2025","title":"The State of Enterprise AI","url":"https://openai.com/business/guides-and-resources/the-state-of-enterprise-ai-2025-report/"}]},"credibility":{"eyebrow":"Why trust me","title":"Grounded in SAP operating reality, not generic transformation language.","narrative":["I work at the intersection of SAP transformation, AMS, master data, and practical AI.","I am currently a Senior SAP Consultant at EPAM Systems, working in SAP transformation environments where project delivery, support pressure, integration complexity, data quality, and operational stability meet.","My SAP path started in 2014 through SAP University Alliances, TERP10, and SAP SD certification. Since then, my perspective has been shaped by 12+ years of hands-on work across SAP support, logistics, migration, master data, and operational analysis — with a focus on making SAP change work not only in design, but also after go-live, handover, and daily operations.","The views and materials on this site are personal and independent."],"link_label":"Contact on LinkedIn","link_url":"https://www.linkedin.com/in/dkharlanau","domains":["SAP AMS","Order-to-cash and logistics","Integration-heavy landscapes","Master data and governance","SAP AMS support","Support model improvement"],"technologies":["SAP S/4HANA","SAP integration and interface analysis","SAP MDG","Side-by-side architecture","Operational automation","Practical AI and retrieval workflows"]},"tech_stack":{"eyebrow":"","title":"Professional Background","intro":"I work across SAP operations, side-by-side architecture, and practical AI delivery.","quote":"Enterprise SAP + AI","paragraphs":["My background includes SAP AMS, migration, logistics, master data, and operational analysis across complex enterprise environments, including manufacturing, automotive, and data-intensive landscapes.","I combine ERP depth with modern delivery patterns, open AI tooling, and side-by-side solution design to build systems that stay governable, adaptable, and useful in production.","This perspective is supported by hands-on SAP project work, cross-domain exposure, and continuous practical work with modern AI systems, agent workflows, and open technology stacks."],"chips":["SAP AMS","Migration","Logistics","Master Data","Manufacturing","Automotive","AI Systems"],"items":[{"label":"SAP S/4HANA","brand":"sap","summary":"Core SAP process work, AMS stabilization, migration support, and clean-core decisions."},{"label":"SAP MDG","brand":"sap","summary":"Master data governance, ownership clarity, and controls for reliable process execution."},{"label":"OpenAI","brand":"openai","summary":"LLM workflows and retrieval patterns for support knowledge, triage, and diagnostics."},{"label":"Google ADK","brand":"google-cloud","summary":"Agent orchestration for structured support workflows and controlled tool use."},{"label":"Anthropic","brand":"anthropic","summary":"Reasoning and governed prompting for production work where control matters."},{"label":"AWS","brand":"aws","summary":"Cloud runtime for sidecar services, integrations, and modular operational tools."},{"label":"Google Cloud","brand":"google-cloud","summary":"AI infrastructure and data services for side-by-side solutions."},{"label":"Next.js","brand":"vercel","summary":"Interfaces for internal tools and AI-enabled workflows that need speed and clarity."},{"label":"Python / Data","brand":"python","summary":"Automation, retrieval, analytics, and glue code for practical delivery."}]},"faq":{"eyebrow":"Governance & Strategy","title":"Frequently Asked Questions","lead":"Clear answers about SAP support, side-by-side architecture, and practical AI in enterprise operations.","items":[{"question":"Can you help improve SAP support without replacing the current provider?","answer":"Yes. The usual starting point is not vendor replacement. It is clearer ownership, stronger handover, better diagnostics, and less repeated effort."},{"question":"What is side-by-side architecture around SAP?","answer":"It keeps the SAP core clean while moving automation, mini apps, and AI-enabled workflows into more flexible side-by-side services."},{"question":"How do you reduce recurring SAP incidents?","answer":"By finding the repeat pattern behind them: weak handover, missing operational memory, poor controls, fragile integration points, or unresolved process design."},{"question":"How do you use AI around SAP without governance problems?","answer":"Use AI side-by-side, ground it in real operational context, log the important inputs and outputs, and keep the business process control points visible."},{"question":"How long does a typical assessment take?","answer":"Usually two to four weeks, depending on landscape complexity, support scope, and how quickly the right people and evidence are available."}]}}