CREDENCE / SOLUTION REVIEW

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{
  "title": "NWP MOS & AI Weather Platform",
  "customer": "MET Malaysia (mock proposal)",
  "owner": "Sample Solution Consultant",
  "reference": "DEMO-2026-001 | Illustrative solution review",
  "reviewDate": "October 2026",
  "mock": true,
  "sections": [
    {
      "heading": "Overview",
      "body": "Solution Consultant / Owner: Sample Solution Consultant",
      "table": {
        "headers": [
          "Opportunity",
          "Details"
        ],
        "rows": [
          [
            "Is it a RFI / RFP / Tender / Proactive Proposal / Budgetary :",
            "Tender — illustrative example"
          ],
          [
            "Existing / New Customer / Account :",
            "Existing customer; confirm account context"
          ],
          [
            "Customer Sponsor:",
            "To be confirmed"
          ],
          [
            "Industry Vertical:",
            "Public Sector — Weather Services"
          ],
          [
            "Sales / Account Owner:",
            "Sample Account Owner"
          ],
          [
            "Customer Budget:",
            "RM13 million (illustrative)"
          ],
          [
            "Partner / Vendor Scope:",
            "Credence: software delivery. Prime: commercial coordination. Independent assessor: security testing."
          ]
        ]
      }
    },
    {
      "heading": "Executive Summary",
      "body": "This illustrative solution brings weather observations, numerical prediction and AI-assisted forecasting into a shared software platform on customer-provided HPC. Forecasters receive governed data access, repeatable verification and probability-based products.\n\nDelivery combines data engineering, weather-science tools, application services and specialist support. Implementation is planned over 24 months, with support through month 108. Accuracy, resolution, runtime and infrastructure compatibility must be agreed during requirements definition.\n\nThese are mock proposal inputs, not verified company credentials, tender compliance claims or contractual commitments."
    },
    {
      "heading": "Things to cover",
      "body": "1. Problem Statement / Customer issue / Requirements\n2. Logical Solution\n3. Technical Solution & Architecture\n4. Solution Description\n5. Assumptions\n6. Scope of work including RACI (also partners / vendors)\n    I. Hosting\n    II. Professional Services\n    III. Managed services\n    IV. Application Services\n    V. Consulting / Advisory\n    VI. SaaS\n7. Out of Scope / exemptions\n8. Project Timelines\n9. Risks & Mitigations\n10. Financials"
    },
    {
      "heading": "Problem Statement / Customer Issues / Requirements",
      "body": "- Forecast variability: small observation changes can lead to different forecast outcomes.\n- Fragmented feeds: station, radar, satellite and agency data need common quality checks.\n- Uncertainty: one forecast cannot describe the probability of a weather event.\n- Large data: analysis needs parallel processing and repeatable verification.\n\nRequired outcomes: validated ingestion; HPC analytics; evaluation of AI alongside physics models; statistical correction; probability products; impact-based decision support; dashboards and APIs. All acceptance targets remain subject to customer agreement."
    },
    {
      "heading": "Technical Solution & Architecture",
      "body": "Software-only proposal on customer-provided HPC at PDSA Kulim. Validate x86 / Arm builds, GPU availability and parallel storage before implementation.",
      "flow": [
        {
          "title": "1  COLLECT",
          "detail": "ThingsBoard CE: IoT gateway\nApache Kafka: message bus\nSFTP / rsync: file collection\necCodes / Satpy: decoding"
        },
        {
          "title": "2  STORE",
          "detail": "GPFS: NetCDF, GRIB, Zarr\nCassandra: time-series\nPostgreSQL + PostGIS: metadata"
        },
        {
          "title": "3  PROCESS",
          "detail": "Apache Spark: stream & batch\nDask: large arrays\nTrino: distributed queries\necFlow: job scheduling"
        },
        {
          "title": "4  FORECAST",
          "detail": "PhysicsNeMo: AI evaluation\nWRFDA / DART: assimilation\nSpark MLlib: MOS\nMETplus: verification"
        },
        {
          "title": "5  ACCESS",
          "detail": "React / Grafana: dashboards\nFastAPI: system interfaces\nJupyterHub: scientific workspace\nKeycloak: login, MFA & roles"
        },
        {
          "title": "ACROSS ALL LAYERS",
          "detail": "Apptainer containers\nCI/CD and image registry\nMonitoring, audit and logging\nTLS and role-based access"
        }
      ]
    },
    {
      "heading": "Solution Description — How It Works",
      "body": "Collect > store > process > forecast > correct & combine > share & warn.",
      "flow": [
        {
          "title": "IoT data gateway",
          "detail": "Collect readings and flag missing or invalid observations before downstream processing."
        },
        {
          "title": "Big data analytics",
          "detail": "Distribute large arrays and publish curated datasets for correction and verification."
        },
        {
          "title": "Assimilation",
          "detail": "Prepare observations for existing assimilation workflows and better starting conditions."
        },
        {
          "title": "Probability products",
          "detail": "Combine ensemble members into agreed event likelihoods and communicate uncertainty."
        },
        {
          "title": "Model Output Statistics",
          "detail": "Compare forecasts with observations and apply validated local statistical corrections."
        },
        {
          "title": "Impact-based forecasting",
          "detail": "Translate agreed weather thresholds into decision-support products and warning workflows."
        }
      ]
    },
    {
      "heading": "Assumptions & Open Points",
      "body": "- Customer supplies and manages HPC, networking, storage and operating systems.\n- Customer arranges access to agency feeds and historical model archives.\n- Dedicated service nodes are available for always-on applications.\n- Acceptance criteria are signed off at SRS.\n- Remote access is approved; specialist on-site visits are planned.\n\nOpen points: confirm GPU capacity, data permissions, external data charges, support SLAs, service-desk pricing, warranty term and payment milestones."
    },
    {
      "heading": "Scope of Work — RACI",
      "body": "R: Responsible | A: Accountable | C: Consulted | I: Informed",
      "table": {
        "headers": [
          "Activity",
          "Credence",
          "Prime",
          "Customer",
          "Assessor"
        ],
        "rows": [
          [
            "Contract and billing",
            "C",
            "A/R",
            "I",
            "–"
          ],
          [
            "Requirements and design",
            "R",
            "C",
            "A",
            "–"
          ],
          [
            "HPC, OS and network",
            "I",
            "I",
            "A/R",
            "–"
          ],
          [
            "Software and interfaces",
            "A/R",
            "I",
            "C",
            "–"
          ],
          [
            "Independent security assessment",
            "C",
            "A",
            "C",
            "R"
          ],
          [
            "Remediation and re-test",
            "R",
            "A",
            "I",
            "C"
          ],
          [
            "UAT and commissioning",
            "R",
            "C",
            "A",
            "–"
          ],
          [
            "Training and support",
            "A/R",
            "I",
            "C",
            "–"
          ]
        ]
      }
    },
    {
      "heading": "Risks Assessment",
      "body": "Risk ratings are illustrative, not an approved assessment. Overall residual: Significant (highest entered rating).",
      "table": {
        "headers": [
          "No",
          "Risk Category",
          "Risk Description",
          "Likelihood & Impact",
          "Gross Risk Rating",
          "Key Mitigation Controls / Solutions",
          "Residual Risk Rating",
          "Control Owner"
        ],
        "rows": [
          [
            "1",
            "Design risk",
            "Arm / x86 compatibility",
            "Likely / Major",
            "High",
            "Build architecture-specific containers and validate dependencies early.",
            "Moderate",
            "Solution Architect"
          ],
          [
            "2",
            "Development risk",
            "AI performance below target",
            "Likely / Major",
            "High",
            "Agree measurable local benchmarks and reserve tuning time.",
            "Significant",
            "AI Lead"
          ],
          [
            "3",
            "Work coordination",
            "Long-term support capacity",
            "Possible / Major",
            "High",
            "Define staffing, knowledge transfer, escalation and annual cost review.",
            "Moderate",
            "Project Manager"
          ]
        ]
      }
    },
    {
      "heading": "Out of Scope / Exemptions",
      "body": "Scope changes require agreed change control.",
      "table": {
        "headers": [
          "Not in delivery scope",
          "Owner / treatment"
        ],
        "rows": [
          [
            "HPC servers, storage, GPUs and network",
            "Customer"
          ],
          [
            "OS installation, licensing and upgrades",
            "Customer"
          ],
          [
            "Physical sensor installation and repair",
            "Customer"
          ],
          [
            "Data-sharing agreements and network links",
            "Customer"
          ],
          [
            "Public web GIS and mobile app",
            "Separate scope"
          ],
          [
            "New features after UAT sign-off",
            "Priced change request"
          ]
        ]
      }
    },
    {
      "heading": "Project Timeline",
      "body": "Indicative schedule from contract award. The axis is linear; specialist activities and milestones require confirmation.",
      "timeline": [
        {
          "phase": "Mobilisation & requirements",
          "start": 1,
          "end": 4
        },
        {
          "phase": "HPC environment setup",
          "start": 3,
          "end": 6
        },
        {
          "phase": "Data ingestion & analytics",
          "start": 5,
          "end": 12
        },
        {
          "phase": "MOS, probabilities & AI evaluation",
          "start": 7,
          "end": 18
        },
        {
          "phase": "APIs, dashboards & integration",
          "start": 12,
          "end": 19
        },
        {
          "phase": "FAT & security assessment",
          "start": 18,
          "end": 21
        },
        {
          "phase": "SAT, UAT & commissioning",
          "start": 21,
          "end": 24
        },
        {
          "phase": "Training & transfer",
          "start": 20,
          "end": 24
        },
        {
          "phase": "Warranty, maintenance & support",
          "start": 25,
          "end": 108
        }
      ]
    },
    {
      "heading": "Financials — Price Summary",
      "financials": true,
      "body": "Illustrative figures only, not a quotation. Tax is computed from the entered rate, not asserted as applicable tax advice. The source references contain conflicting totals; this example uses one consistent cost model. Confirm scope, rates and payment terms before use."
    }
  ],
  "costs": [
    {
      "item": "Implementation manpower",
      "amount": 5384800
    },
    {
      "item": "Security assessment, training and travel",
      "amount": 276400
    },
    {
      "item": "External data service",
      "amount": 337500
    },
    {
      "item": "Warranty and support",
      "amount": 1239780
    },
    {
      "item": "Perpetual ecosystem licence",
      "amount": 1300000
    },
    {
      "item": "Contingency",
      "amount": 361924
    },
    {
      "item": "Additional margin",
      "amount": 349596
    }
  ],
  "taxPercent": 8,
  "budget": 13000000
}

Solution review

16 slides · 16:9

Preview slide

SubtotalRM 9,250,000.00

Tax (8%)RM 740,000.00

TotalRM 9,990,000.00

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Proposal input

Full structured input (JSON)

Replace any section, table, architecture block, timeline or cost. Apply JSON to use these edits; Generate report uses the two form fields instead.

Report JSON