Tenant-scoped incident and change assistant

The business situation

Illustrative reference architecture. Validate requirements for your organization.

Illustrative architecture: A software provider sees intermittent failures for a subset of enterprise tenants after a release. Support and engineering need to connect customer reports, telemetry, feature flags, and recent changes without exposing one tenant's data to another. Agents investigate and propose actions while on-call engineers retain production authority.

Problem

Shared infrastructure makes correlation difficult: a noisy tenant can dominate aggregate metrics, and sensitive payloads may leak through logs. A guessed rollback or unrestricted diagnostic query can worsen the incident or cross tenant boundaries.

Why a multi-agent system?

Tenant-context, telemetry, change-analysis, and runbook specialists operate with explicit scopes. A deterministic incident coordinator sets diagnostic budgets, correlates release versions, and requires approval for consequential remediation.

Intended outcome

The intended result is a reviewable operational decision with source evidence and explicit ownership. Evaluate investigation quality and containment as well as restoration time. The workflow should reduce repetitive evidence gathering while keeping production authority, customer boundaries, and uncertain causal explanations explicit.

Specialist agent team

Tenant context agent

Map authorized support cases to tenant configuration and recorded symptoms.

Tools

• Support case API
• tenant configuration reader

Authority boundary

Cannot access another tenant's records or infer customer data from shared caches.

Telemetry analyst

Inspect scoped error rates, traces, and resource saturation.

Tools

• Observability query gateway
• metric calculator

Authority boundary

Cannot run unrestricted production queries or retrieve secret-bearing payloads.

Release investigator

Compare deployments, feature flags, and schema changes with affected cohorts.

Tools

• Deployment history
• configuration diff API

Authority boundary

Cannot roll back releases or alter flags independently.

Recovery coordinator

Draft a bounded diagnostic or remediation plan with rollback conditions.

Tools

• Runbook repository
• incident draft tool

Authority boundary

Production mutations require on-call approval and gateway enforcement.

Enterprise systems

Support and tenant registry

Own customer assignments, tenant identifiers, entitlements, and incident communication scope.

Observability and deployment systems

Provide redacted traces, aggregate metrics, release manifests, and configuration history.

Production action gateway

Enforces approved tenant and resource scope, preconditions, operation keys, and rollback receipts.

Architecture diagrams

flowchart LR
    N0["Tenant-scoped incident and change assistant"]
    N1["Tenant context agent"]
    N2["Telemetry analyst"]
    N3["Release investigator"]
    N4["Recovery coordinator"]
    N5["Evidence ledger"]
    N6["Human decision"]
    N7["Authorized adapter"]
N0 --> N1
    N1 --> N2
    N0 --> N3
    N2 --> N4
    N3 --> N4
    N4 --> N5
    N5 --> N6
    N6 --> N7

sequenceDiagram
    participant O as "Case orchestrator"
    participant S as "Support and tenant registry"
    participant H as "Accountable reviewer"
O->>S: Load authorized affected tenant set
    O->>H: Present bounded flag rollback
    H-->>O: Approve exact cohort
    O->>S: Revalidate evaluated targets
    S-->>O: Target set expanded
    O->>H: Block mutation and request scope review

Runtime flow

1. 1

   Register incident scope

   Bind support cases and telemetry signals to an incident, affected tenants, service versions, and on-call owner.

2. 2

   Collect bounded evidence

   Run approved queries with row limits and redaction, preserving query versions and source freshness.

3. 3

   Compare cohorts

   Separate affected and unaffected tenants by release, configuration, and infrastructure placement without asserting causality from correlation alone.

4. 4

   Propose discriminating checks

   Select diagnostics that distinguish hypotheses and fit the incident's time, cost, and resource budget.

5. 5

   Review recovery action

   Present exact targets, expected effects, rollback prerequisites, and unresolved evidence for on-call approval.

6. 6

   Execute and verify

   Apply the approved action through the gateway, compare service indicators against declared checks, and stop on unexpected cohort expansion.

Failure recovery

Security & decision boundaries

• Derive tenant scope from authenticated incident context, never model-supplied free text alone.
• Redact credentials and customer payloads before observability data reaches agents.
• Bound diagnostic queries by time range, tenant set, rows, and execution budget.
• Require on-call approval for deployments, flags, schema changes, and customer communications.
• Verify post-action indicators and halt on unexpected blast-radius expansion.

Operational metrics

Measurement definitions, not promised improvements.

Incident evidence latency

Time from incident declaration to a scoped, source-backed hypothesis packet.

Diagnostic discrimination

Executed checks that eliminate or confirm a hypothesis divided by executed checks.

Tenant boundary violations

Unauthorized cross-tenant data returns, measured separately from correctly blocked attempts.

Recovery verification time

Elapsed time from approved action receipt to completed declared service checks or escalation.

Architecture tradeoffs

Rollout plan

Synthetic incident replay

Engineers validate tenant predicates, redaction, release correlation, and action-scope checks.

Read-only on-call pilot

One service permits bounded diagnostics and measures usefulness without production mutations.

Approved runbook execution

A narrow action set launches after expanded-cohort, timeout, and failed-verification exercises pass.

Connected concepts

• 23 — Attribute-Based Access Control (ABAC)
• 24 — Prompt Injection Mitigation
• 34 — Tenant Isolation
• 41 — Idempotent Tool Execution
• 44 — Human-in-the-Loop (HITL)
• 55 — Distributed Tracing (OpenTelemetry)
• 59 — Cascade Failure Prevention
• 93 — Model Versioning and A/B Testing

Primary references

• Kubernetes: Multi-tenancy
• OpenTelemetry: Traces
• NIST SP 800-207: Zero Trust Architecture