Use case · Enterprise · IT
Multi-Agent Workflow Automation
This proposed enterprise IT application uses BrainShift to orchestrate complex, multistep workflows across specialist agents and connected systems. Agents can investigate service issues, prepare change plans, and coordinate fulfillment while IT owners retain authority over consequential decisions. Its high complexity reflects cross-system dependencies, permission boundaries, and recovery requirements.
This page describes a proposed application of the BrainShift platform. It is not a description of a specific customer deployment.
Business challenge
An incident or service request often spans ticket records, configuration data, operational runbooks, and approval conversations. Service desk analysts repeatedly collect context, while infrastructure and application teams receive incomplete handoffs that delay diagnosis or duplicate work.
Automating individual tasks does not resolve coordination risks. A proposed configuration change may depend on another team's maintenance window, an unavailable approver, or outdated system information. IT leaders need explicit ownership, traceable evidence, and a way to pause workflows before an incorrect assumption becomes a production action.
How BrainShift solves it
BrainShift Studio can define specialist agents for triage, dependency assessment, change planning, and verification. Agentic Workflows coordinates their contributions around a shared task state, defined responsibilities, and approval gates rather than allowing agents to act independently without constraints.
BrainShift Gateway governs model access, routing, and cost controls. Action Hub provides controlled execution of approved tasks in connected systems. Workflow designs should specify permitted actions, validation checks, escalation paths, and recovery procedures before production use.
How it works
Step-by-step workflow
- 01
1. Capture and classify
Accept a ticket or operator request, identify affected services, and check required fields. Example: “Triage this recurring access failure.” The system gathers relevant records and proposes routing.
- 02
2. Assign specialist agents
Dispatch bounded investigation tasks to agents for service history, configuration context, and runbook checks. Each returns evidence, uncertainties, and recommended next steps to the coordinating workflow.
- 03
3. Build a coordinated plan
Reconcile findings and sequence dependent tasks. Example: “Prepare a change plan for this service.” The system drafts prerequisites, impact considerations, validation steps, and rollback instructions for review.
- 04
4. Obtain accountable approval
Route the proposed plan and supporting evidence to designated owners. Production changes, access grants, and other high-impact actions remain blocked until authorized reviewers approve the specific scope.
- 05
5. Execute within boundaries
Action Hub performs permitted operations through configured connectors. Example: “Run the approved maintenance tasks.” The system checks approval scope, invokes authorized actions, and records responses.
- 06
6. Verify and escalate
Compare returned system state with acceptance criteria, attach evidence to the record, and flag discrepancies. Failed checks pause dependent work and send recovery decisions to an operator.
BrainShift components
What each module does
BrainShift Studio
Build specialist IT agents with defined instructions, tools, and evidence requirements.
Agentic Workflows
Coordinate dependencies, shared task state, agent handoffs, and human approval gates.
Action Hub
Execute approved ticket updates and operational tasks through controlled system connections.
BrainShift Gateway
Apply model routing, access governance, and cost controls across agent interactions.
Enterprise integrations
Systems it can connect to
Configurable integration options, confirmed during implementation.
- REST APIs: Configurable connections to IT service management and operational tools.
- Microsoft 365: Potential channel for reviewer notifications and coordination.
- SharePoint: Optional access to approved runbooks and change templates.
- SQL Server: Controlled queries against service inventories and operational records.
- Identity providers: Configured authentication and mapping of user roles to workflow permissions.
Data sources
- Incident and service request histories
- Configuration and service dependency records
- Approved runbooks and troubleshooting guides
- Change calendars and approval policies
- Monitoring alerts and execution logs
Business outcomes
Potential benefits
Better handoffs
Evidence-backed summaries could reduce repeated investigation between teams.
Clearer accountability
Named reviewers and recorded decisions could clarify responsibility.
Safer execution
Scoped approvals could limit unintended operational changes.
Earlier exception detection
Validation gates could surface missing prerequisites before execution.
More consistent records
Structured updates could strengthen incident and change documentation.
Suggested KPIs
Security and deployment
Design deployment around sovereign, on-premises, or private cloud requirements. Configure SSO, role-based access, least-privilege connector credentials, and audit trails linking requests, agent recommendations, approvals, and executed actions.
Human oversight
Service owners approve high-impact actions and resolve conflicting recommendations. Workflow owners define escalation rules, stop conditions, and recovery authority; agents must not interpret missing approval as permission.
FAQ
Frequently asked questions
Is this a deployed solution?
No. This is a proposed application requiring workflow design, integration configuration, and validation.
Can agents change production systems autonomously?
High-impact actions require human approval before controlled execution.
What happens when agents disagree?
The workflow should expose conflicting evidence and escalate unresolved decisions to an accountable owner.
Where should IT start?
Choose a bounded request type, test against historical cases, and introduce approved execution only after validation.
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