wiki/mandates/vattenfall/110 Interviews/118 Interview Annemarie - Director Sales and Operation Germany/Use Cases BU.md
2025-09-22 00:39:23 +02:00

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AI Agents & automations thoughts that can benefit the entire BU 🏷 Sales • Contract Copilot agent: scans CI/VI contracts, flags risks/clauses, indexes terms; generates draft Single Site agreements automatically from CRM data. Created together with legal teams per country • Pricing Optimizer agent: simulates customer usage across AC/DC/HPC and suggests tariff adjustments to balance competitiveness, ROI, and utilization. • Lead & Opportunity Sourcing Agent: monitors tenders, fleet electrification announcements, and retail expansions; flags new sites/partners.


⚙️ Operations • Customer Follow-Up Automation: sends reminders when customers dont respond; • Agent: Customer Service Copilot: triages tickets, performs quality checks after training, and provides German chatbot support for 1st-level requests. • Agent: Incident Predictor: monitors charger/payment data, raises alerts before customers report issues, and flags data quality problems. • Agent: Fraud Watchdog: detects unusual charging or payment behavior (e.g. RFID misuse, stolen cards, suspicious usage).Takes standard action based on pattens • Agent: Back-Office Automator: automates compliance checks and invoicing for standard cards; supports bulk whitelisting of specific card groups (e.g. fleets). • Agent: Customer service Automation learns from Microsoft Dynamics/Service cases to generate standard replies; works like training a new employee (human check first, then automation). Salesforce Einstein has many great examples of this for cases.


🛠 Asset Management • Maintenance Predictor: anomaly detection from charger telemetry (ABB, Alpitronic, Compleo);This could also be done by integratuing partner APIs (e.g. Monta or from our hardware providers, they are also building this). • Asset Lifetime Advisor: recommends part swaps or preventive repairs before breakdowns. • Investment Prioritizer: ranks assets/sites for upgrade vs. replacement based on ticket history and recurring issues. • Usage Insight Agent: identifies underperforming or high-potential locations. • Customer Follow-Up Automation: sends reminders when customers dont respond; learns from Microsoft Dynamics/Service cases to generate standard replies; works like training a new employee (human check first, then automation). • Customer Priority Scanner: pre-screens all incoming cases and tickets to flag priority A customers (e.g. VF executives/board); links even personal emails to sites/IDs. • Invoice Checker: automatically cross-checks EPC/service invoices against closed contracts; flags mismatches in pricing or scope before approval.


🚧 Delivery • Document Checker: auto-scans permitting documents, EPC contracts, and compliance materials. Top Automation Customer Follow-Up Automation: sends reminders when customers dont respond; Top 5 Agents

  1. Customer service Automation learns from Microsoft Dynamics/Service cases to generate standard replies; works like training a new employee (human check first, then automation). Salesforce Einstein has many great examples of this for cases.
  2. Invoice Checker: automatically cross-checks EPC/service invoices against closed contracts; flags mismatches in pricing or scope before approval.
  3. Lead & Opportunity Sourcing Agent: monitors tenders, fleet electrification announcements, and retail expansions; flags new sites/partners.
  4. Customer Service Copilot: triages tickets, performs quality checks after training,
  5. Incident Predictor: monitors charger/payment data, raises alerts before customers report issues, and flags data quality problems. Nice to have, projects for a hackathon
  6. Customer Priority Scanner: pre-screens all incoming cases and tickets to flag priority A customers (e.g. VF executives/board); links even personal emails to sites/IDs.