Decision guideFoundational

Use Cases

A filterable use-case guide covering objectives, runtime state, risk, approvals, evidence, recovery, and when MIR is unnecessary.

Author: Michael Kappel
Audience: Architects, product leaders, developers
Reading time: 1 min
Last reviewed: 2026-06-27 UTC

On this page

MIR is useful when a task combines uncertain model behavior with durable state, external tools, meaningful authority, or long-running recovery. The explorer describes patterns rather than customer claims.

Evaluate each use case

What can change outside the model response?
Who has authority, and where must approval occur?
What evidence would a user, operator, or auditor need?

Use-case explorer

Software engineering

Repository dependency update

Prepare, test, and review a bounded dependency change.

Runtime components: Repository context, code tool, isolated tests, checkpoint, approval, evidence.
Risk: Reversible write
Approval: Required before merge or deployment.
Evidence: Diff, dependency sources, test results, policy decision.
Recovery: Restore checkpoint, select compatible version, or stop.
Use a simpler system when…: Use a standard dependency bot when policy and remediation are deterministic.

Enterprise knowledge

Policy-aware research brief

Synthesize approved internal and public sources.

Runtime components: Scoped retrieval, source provenance, model adapter, evidence ledger.
Risk: Read-only with sensitive context
Approval: Review before external distribution.
Evidence: Sources, exclusions, claims, uncertainty, final artifact.
Recovery: Remove stale source, rerun affected claims.
Use a simpler system when…: Use search plus templates for narrow, repeatable questions.

Regulated workflow

Case preparation

Assemble a draft case package without making the final decision.

Runtime components: Identity, data policy, prohibited memory, typed tools, approval gates.
Risk: High-impact recommendation
Approval: Qualified human owns every consequential decision.
Evidence: Source record, policy checks, draft, reviewer actions.
Recovery: Suspend, correct data, invalidate derived artifacts.
Use a simpler system when…: Use deterministic case management for fully codified rules.

Local assistant

Private project assistant

Work with local files and selectively use remote models.

Runtime components: Local control plane, local tools, hybrid routing, project memory.
Risk: Private data and reversible local writes
Approval: Required for external transmission or publishing.
Evidence: Data placement, model route, file changes, exports.
Recovery: Local checkpoint and offline continuation.
Use a simpler system when…: Use desktop search when no multi-step action is required.

Research and analysis

Multi-source technical review

Compare primary sources and identify open questions.

Runtime components: Research index, provenance, verifier, citation and evidence.
Risk: Incorrect synthesis
Approval: Editorial review before publication.
Evidence: Claim-to-source mapping, omitted claims, review date.
Recovery: Withdraw unsupported claim and regenerate affected section.
Use a simpler system when…: Use a reference manager for straightforward literature collection.

Operations and IT

Incident triage assistant

Collect signals, propose remediation, and stage reversible actions.

Runtime components: Telemetry, runbooks, read tools, draft actions, approval, rollback.
Risk: Service disruption
Approval: Required before production change.
Evidence: Signals, hypothesis, commands, approvals, outcome.
Recovery: Cancel, revert, escalate to incident commander.
Use a simpler system when…: Use deterministic automation for known alerts and runbooks.

Data and analytics

Governed analysis workspace

Prepare queries and analyses over scoped data.

Runtime components: Data identity, query tools, sandbox, budgets, artifact ledger.
Risk: Sensitive data exposure or expensive query
Approval: Needed for export or material write.
Evidence: Queries, datasets, transformations, results, exports.
Recovery: Cancel query, revoke session, remove derived artifact.
Use a simpler system when…: Use BI dashboards for stable questions.

AI product platform

Shared agent execution service

Provide teams a common governed runtime.

Runtime components: Control plane, runtime profiles, registries, policy, observability.
Risk: Cross-tenant authority and platform-wide failure
Approval: Policy-based; human gates for high-impact classes.
Evidence: Tenant, contract versions, tool actions, incidents, artifacts.
Recovery: Isolate tenant, terminate runtime, roll back profile.
Use a simpler system when…: Use direct model APIs for low-risk isolated prototypes.

Use a simpler system when…

A deterministic script or workflow can express the task reliably.
The model only drafts text and cannot access external systems.
There is no durable memory, multi-step state, or side effect.
A bounded retrieval application with citations meets the need.
The cost of runtime governance exceeds the value or risk of the task.

Source record

References

Suggest a correction

Artificial Intelligence Risk Management Framework (AI RMF 1.0) Primary source
BibTeX RIS
National Institute of Standards and Technology. NIST. Published 2023-01-26; last reviewed 2026-06-20 UTC. Government framework.
Agentic AI Threats and Mitigations Primary source
BibTeX RIS
OWASP Agentic Security Initiative. OWASP. Published Current guidance; last reviewed 2026-06-20 UTC. Security guidance.

Editorial responsibility

Michael Kappel

Senior Software Engineer / Software Architect

Michael Kappel maintains MiRuntime as an independent technical publication. His work centers on enterprise architecture, .NET and SQL Server modernization, TypeScript and Angular delivery, AI-assisted engineering, runtime governance, memory handoff, and reviewable evidence systems.

About the editor Suggest a correction