PROPOSED AI APPLICATION

IT service resolution planner

Routine tasks require repeated planning

Managed IT service providersKnowledge and workflow pilotProposed solution scope

The problem and the proposed outcome

Application: Managed IT service providers — IT service resolution planner
Problem to solve: Routine tasks require repeated planning
Target buyer: MSP owners, service desk managers
Intended use: Employee / expert own workflow; internal business solution
Benefit to test: Test whether approved handoff or task planning requires less effort without introducing unauthorized steps.
Potential delivery: Internal application, reviewer dashboard, private assistant or authorized user portal; choose one surface after validating the workflow.

AI method: LLM workflow planning assistant
Method code: A
AI contribution: Interpret a permitted request, select approved playbook steps and propose a tool plan; keep the initial MVP read-only or draft-only.
Output artifact: Reviewable proposed plan with tool arguments, evidence and unresolved requirements.
Core modules: Authorized request → constrained plan generation → argument checks → approval queue
Simple baseline: Fixed workflow rules, forms and deterministic routing.
Why test AI: Could help when requests vary semantically; stable processes may be better served by deterministic automation.

Pilot track: Knowledge and workflow pilot
Required data: Approved runbooks; authorized ticket context; tools
Data readiness: Approved playbooks, permitted tool schemas, representative requests and explicit authority boundaries are needed.
First development step: Define approved actions and a read-only test harness; compare generated plans with fixed workflow rules.
Initial MVP scope: One defined task, one permitted dataset and one reviewer workflow. Manual upload or authorized export first; no unattended external action. Validate the model before live integration.
Demo data: Synthetic or licensed public samples may illustrate the workflow. Real benefit and model performance need representative authorized held-out data.
Buyer validation question: Ask MSP owners, service desk managers: show a recent case where routine tasks require repeated planning, record the present effort or error, and confirm whether the required data can lawfully be used.

Primary success metric: Reviewer-approved plan usefulness
Model evaluation: Assess plan usefulness, argument correctness, unsupported actions, policy adherence and reviewer intervention rate.
Metric target: Set after baseline measurement; no improvement or accuracy result asserted.

Specialist review: No special flag; domain review still applies
Human review boundary: Initial MVP only proposes a plan. An authorized user approves any external message, record change or tool action.
Domain review: Confirm data ownership, access, source rights, reviewer authority and correction routes with the operator.
Related micro-ERP catalogue IDs: IWA-B-89B42682E1F9; IWA-B-AC4ACC155033; IWA-B-347EF9D6A3DA
Integration status: Potential segment link only; no product integration implemented.