1‐ Before vs After AI - magicplatforms/ai-workflows GitHub Wiki

Below is an updated Azure DevOps Wiki page that eliminates the “got ‘note’” parse error and other potential rendering issues. Key fixes:

  • Every label that appears in a message is now declared first with participant (Mermaid is strict about this).
  • Reserved keywords such as Note have been renamed (e.g., ResearchNote, AssessmentReport).
  • No spaces are used in raw participant IDs; readable labels are supplied with as.

Copy everything between the horizontal rules into a new Wiki page.

AI‑Driven Workflow Transformation

[[TOC]]

[!NOTE] Mermaid diagrams render automatically once the page is saved or previewed (be sure the preview feature “Render Mermaid diagrams in Wiki and Markdown” is enabled).

Sales – Before vs After AI

sequenceDiagram
    title Sales – Before vs After AI
    %% participants
    participant SDR
    participant AE
    participant LinkedIn
    participant Prospect
    participant CRM
    participant IntentDB
    participant AI_Agent as AI Agent
    participant Calendar
    participant Win_Coach as Win Coach
    %% flows
    alt **Before AI**
        SDR->>LinkedIn: Scrape leads
        SDR->>Prospect: Draft & send emails
        SDR->>CRM: Log calls
        AE->>CRM: Update opps nightly
    else **After AI**
        AI_Agent->>IntentDB: Mine intent signals
        AI_Agent->>Prospect: Auto‑personalise outreach
        AI_Agent->>Calendar: Schedule call
        AE->>Win_Coach: Realtime win‑probability tips
        CRM-->>AE: Forecast auto‑roll‑up
    end

Human Resources – Before vs After AI

sequenceDiagram
    title HR – Before vs After AI
    participant Recruiter
    participant Candidate
    participant HRBP
    participant ResumeDB
    participant Calendar
    participant GenAI_Ranker as GenAI Ranker
    participant Chatbot
    participant HR_Analytics as HR Analytics
    participant Panel
    alt **Before AI**
        Recruiter->>ResumeDB: Screen 200 résumés
        Recruiter->>Candidate: Phone screens
        Recruiter->>Calendar: Block interview slots
        HRBP->>HR_Analytics: Build turnover deck monthly
    else **After AI**
        GenAI_Ranker->>ResumeDB: Rank résumés
        Chatbot->>Candidate: Run first interview
        Calendar->>Panel: Auto‑book panels
        HR_Analytics-->>HRBP: Live attrition heat‑map
        HRBP->>HR_Analytics: Push‑button stay‑bonus scenario
    end

Legal – Before vs After AI

sequenceDiagram
    title Legal – Before vs After AI
    participant Associate
    participant Paralegal
    participant Westlaw
    participant Client
    participant Research_LLM as Research LLM
    participant ContractAI
    participant Docs
    participant Team
    alt **Before AI**
        Associate->>Westlaw: Hunt precedent
        Associate->>Client: Draft memo & redline contract
        Paralegal->>Docs: Bates‑stamp discovery
    else **After AI**
        Research_LLM->>Westlaw: Search & summarise precedent
        ContractAI->>Client: Mark risk clauses & draft NDA
        Paralegal->>Docs: Validate AI‑coded discovery
        Paralegal->>Team: Prep strategy brief
    end

Finance / Banking – Before vs After AI

sequenceDiagram
    title Finance / Banking – Before vs After AI
    participant Analyst
    participant Excel
    participant Compliance
    participant MarketAI
    participant Surveillance_AI as Surveillance AI
    participant DataFeeds
    participant ResearchNote
    participant Trades
    participant FilingsDB
    alt **Before AI**
        Analyst->>DataFeeds: Copy data to Excel
        Analyst->>Excel: Build valuation model
        Analyst->>ResearchNote: Write 8‑page report
        Compliance->>Trades: Hand‑check overnight
    else **After AI**
        MarketAI->>FilingsDB: Ingest filings & generate model
        MarketAI-->>ResearchNote: Draft equity research note
        Analyst->>MarketAI: Stress‑test assumptions
        Surveillance_AI-->>Trades: Pre‑clear in seconds
    end

Education – Before vs After AI

sequenceDiagram
    title Education – Before vs After AI
    participant Teacher
    participant Student
    participant Parent
    participant Grader
    participant Lesson_Generator as Lesson Generator
    participant TutorAI
    participant Analytics
    participant LessonPlan
    participant Classroom
    alt **Before AI**
        Teacher->>LessonPlan: Craft lesson plan
        Teacher->>Grader: Manually grade papers
        Teacher->>Parent: Send emails
    else **After AI**
        Lesson_Generator-->>Teacher: Differentiated lesson plan
        TutorAI->>Student: Instant feedback
        Analytics-->>Teacher: Performance dashboards
        Teacher->>Classroom: Socratic discussion
        Teacher-->>Parent: 30‑sec video update
    end

Technology / Software Dev – Before vs After AI

sequenceDiagram
    title Software Dev – Before vs After AI
    participant Engineer
    participant Repo
    participant CI
    participant Copilot
    participant BuildHelp_LLM as BuildHelp LLM
    participant CodeBase
    participant Prod
    alt **Before AI**
        Engineer->>Repo: Design API & write boilerplate
        Repo->>CI: Wait for build & tests
        CI-->>Engineer: Code review feedback
    else **After AI**
        Copilot-->>Repo: 60–80 % scaffolding & autotests
        Engineer->>CodeBase: Focus on edge cases & architecture
        CI->>BuildHelp_LLM: Build errors
        BuildHelp_LLM-->>Engineer: Explain fixes in chat
        CI-->>Prod: Release cadence halves
    end

Healthcare – Before vs After AI

sequenceDiagram
    title Healthcare – Before vs After AI
    participant Physician
    participant Patient
    participant Guidelines
    participant Coder
    participant Ambient_Scribe as Ambient Scribe
    participant ClinicalLLM
    participant EHR
    participant ClaimDoc
    alt **Before AI**
        Physician->>EHR: Type notes
        Physician->>Patient: Dictate letters
        Physician->>Guidelines: Search care guidelines
        Coder->>ClaimDoc: Assign CPT codes
    else **After AI**
        Ambient_Scribe-->>EHR: Auto‑generate note
        ClinicalLLM->>Physician: Diagnostic suggestions & orders
        Coder->>ClaimDoc: Audit AI‑assigned codes
        Physician->>Patient: Spend extra time counselling
    end

Supply‑Chain / Ops – Before vs After AI

sequenceDiagram
    title Supply‑Chain / Ops – Before vs After AI
    participant Planner
    participant ERP
    participant Supplier
    participant Demand_Model as Demand Model
    participant GenAI
    participant Digital_Twin as Digital Twin
    participant Routing_Engine as Routing Engine
    participant Dispatcher
    participant Routes
    participant Carrier
    participant Exceptions
    alt **Before AI**
        Planner->>ERP: Export data & tweak forecast
        Planner->>Supplier: Call for updates
        Dispatcher->>Routes: Build route sheet
    else **After AI**
        Demand_Model-->>Planner: Demand forecast
        GenAI->>Supplier: Draft PO & negotiation email
        Digital_Twin-->>Planner: Network simulation
        Routing_Engine-->>Carrier: Issue loads autonomously
        Planner->>Exceptions: Handle only anomalies
    end

Insurance (P&C / Life) – Before vs After AI

sequenceDiagram
    title Insurance – Before vs After AI
    participant Adjuster
    participant Underwriter
    participant Claim
    participant CV_Model as CV Model
    participant GenAI
    participant FraudAI
    participant PartsDB
    participant AssessmentReport
    participant ClaimPhotos
    participant RiskAI
    participant RiskTables
    alt **Before AI**
        Adjuster->>Claim: Read claim & request photos
        Adjuster->>PartsDB: Price parts
        Adjuster->>AssessmentReport: Write assessment
        Underwriter->>RiskTables: Crunch risk tables
    else **After AI**
        CV_Model->>ClaimPhotos: Score damage from images
        GenAI-->>Claim: Draft settlement
        Underwriter->>RiskAI: Review AI risk score
        Underwriter->>RiskAI: Tune appetite
        FraudAI-->>Claim: Flag anomalies in real‑time
    end

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