{
  "generatedAt": "2026-05-16T00:00:00+05:30",
  "purpose": "Buyer-facing consulting service catalog for Edxperimental Labs.",
  "services": [
    {
      "service": "AI workflow benchmarking",
      "owner": "Sanjay Prasad",
      "buyerQuestion": "Which model, provider, or agent route should handle this workflow?",
      "bestFor": "Teams with one concrete process, examples, and a decision deadline.",
      "startingInputs": [
        "Workflow examples",
        "Expected outputs",
        "Candidate systems",
        "Failure cost"
      ],
      "artifacts": [
        "Task packet",
        "Run table",
        "Trace ledger",
        "Decision memo"
      ],
      "readiness": 82,
      "nextAction": "Send one workflow and two candidate routes for a diagnostic scope."
    },
    {
      "service": "Agent reliability review",
      "owner": "Sanjay Prasad",
      "buyerQuestion": "Can this agent complete work safely across tools, browser state, and handoff boundaries?",
      "bestFor": "Teams piloting coding agents, browser agents, support agents, or internal automation.",
      "startingInputs": [
        "Agent trace",
        "Tool permissions",
        "Success criteria",
        "Human handoff rule"
      ],
      "artifacts": [
        "Reliability scorecard",
        "Failure taxonomy",
        "Tool-risk map",
        "Release gate"
      ],
      "readiness": 78,
      "nextAction": "Share a current agent demo, transcript, or run log for trace review."
    },
    {
      "service": "Model and provider selection",
      "owner": "Sanjay Prasad",
      "buyerQuestion": "What should run on frontier APIs, faster hosted models, open-weight inference, or human review?",
      "bestFor": "Teams balancing quality, latency, cost, data boundary, and vendor risk.",
      "startingInputs": [
        "Monthly volume",
        "Latency target",
        "Privacy boundary",
        "Provider shortlist"
      ],
      "artifacts": [
        "Route matrix",
        "Cost curve",
        "Fallback policy",
        "Procurement memo"
      ],
      "readiness": 80,
      "nextAction": "Send workload volume, context length, output length, and candidate vendors."
    },
    {
      "service": "AI security and risk sprint",
      "owner": "Sanjay Prasad and Saujas",
      "buyerQuestion": "Where can prompt injection, excessive agency, data exposure, or weak escalation break the workflow?",
      "bestFor": "Teams moving from demo to production with tool access, customer data, or policy-sensitive outputs.",
      "startingInputs": [
        "Threat model",
        "Tool scope",
        "Sensitive fields",
        "Incident examples"
      ],
      "artifacts": [
        "Security task pack",
        "Risk register",
        "Control deck",
        "Launch blockers"
      ],
      "readiness": 74,
      "nextAction": "Share the riskiest tool/action path and the data the agent should never reveal."
    },
    {
      "service": "Sales-engineering diagnostic",
      "owner": "Saujas",
      "buyerQuestion": "What is the smallest sprint that would answer the buyer's AI decision?",
      "bestFor": "Founders or operators who need a scoped benchmark before a larger AI build.",
      "startingInputs": [
        "Business goal",
        "Stakeholder map",
        "Current workflow",
        "Budget signal"
      ],
      "artifacts": [
        "Discovery memo",
        "Sprint scope",
        "Access checklist",
        "Proposal outline"
      ],
      "readiness": 86,
      "nextAction": "Send a short buyer problem statement and target decision date."
    }
  ]
}