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Agents that work inside your operations, not around them.

We turn manual, repetitive workflows into resilient, governed, AI agent-powered operations—without changing your existing systems.

agent_ops — magnetiz
STATUS: DEPLOYING AGENTS: 6 active
Ln 1, Col 1

AI agents are everywhere.
Very few help operations.

You're paying for “AI” without getting real operational leverage.

Work still moves through tickets, emails, and spreadsheets.

Pilots look good in demos but never stick in day-to-day ops.

Leaders can't quantify impact. Agents run, but ops KPIs don't move.

IT worries about risk. Ops worries about breakage. Ownership is fuzzy.

What we hear from ops teams

Opportunity Mapping for Agents
HIDDEN FRICTION, HIDDEN VALUE

“We struggle to spot the real friction points where an agent could add immediate value.”

— Biz Ops Analyst
Workflow & System Mapping
THE WORKFLOW BLIND SPOT

“Workflows are unclear, scattered, and full of exceptions no one has fully mapped.”

— RevOps Manager
Agent Blueprint & Guardrails
UNDEFINED AGENT OUTCOMES

“Agents are scoped too loosely, causing confusion, overreach, and safety risks.”

— Product Manager
Build, Test, and Evals
NO TRUST WITHOUT TESTING

“Teams can't trust agents because they're not tested against real, messy scenarios.”

— Engineering Manager
Launch & Adoption
GREAT AGENTS, POOR ADOPTION

“Agents fail to deliver ROI because they're launched without integration or ownership.”

— Enablement Manager
Opportunity Mapping for Agents
HIDDEN FRICTION, HIDDEN VALUE

“We struggle to spot the real friction points where an agent could add immediate value.”

— Biz Ops Analyst
Workflow & System Mapping
THE WORKFLOW BLIND SPOT

“Workflows are unclear, scattered, and full of exceptions no one has fully mapped.”

— RevOps Manager
Agent Blueprint & Guardrails
UNDEFINED AGENT OUTCOMES

“Agents are scoped too loosely, causing confusion, overreach, and safety risks.”

— Product Manager
Build, Test, and Evals
NO TRUST WITHOUT TESTING

“Teams can't trust agents because they're not tested against real, messy scenarios.”

— Engineering Manager
Launch & Adoption
GREAT AGENTS, POOR ADOPTION

“Agents fail to deliver ROI because they're launched without integration or ownership.”

— Enablement Manager

Agents built for
real operations

support_router.py

Support Ticket Routing Agent

Routes and enriches tickets with context—no triage, no delays.

invoice_recon.py

Invoice Reconciliation Agent

Matches invoices to POs, flags issues, and updates your ERP—automatically.

lead_enrichment.py

Lead Enrichment & Routing Agent

Scores and routes leads in real time—so sales doesn't wait.

alert_correlation.py

IT Alert Correlation Agent

Cuts through alert noise and flags what actually matters.

onboarding_orch.py

Onboarding Orchestration Agent

Keeps onboarding moving—tasks tracked, blockers escalated.

procurement_approvals.py

Procurement Approval Agent

Routes, escalates, and auto-approves within policy—no bottlenecks.

Workflow-first agents
for operations

We design, build, and govern agents that thrive in your existing tools and processes.

agent_pipeline/ — magnetiz
1
01_Opportunity_Mapping.py </>

We pinpoint high-friction workflows where an agent can create immediate, measurable value.

2
02_Workflow_Mapping.py </>

We document how work actually moves across systems, teams, and edge cases.

3
03_Agent_Blueprint.py </>

We define each agent's role, tools, permissions, and escalation rules—before a single line of code is written.

4
04_Build_Test_Evals.py </>

We prototype against real scenarios, set up evals, and prove the agent is safe and reliable.

5
05_Launch_Adoption.py </>

We integrate with your stack, train your team, and assign clear ownership so agents are used—not just demoed.

STATUS: READY BRANCH: main BUILD: PASSING
5 modules loaded

Agents built for operations,
not hype.

Real capacity, not just “assistants.”

Offload routing, enrichment, reconciliations, and status updates so ops teams focus on exceptions and judgment.

Shorter cycle times.

Agents keep work moving 24/7, cutting wait time between steps and reducing backlog pileups.

Consistent execution.

Every request, ticket, or case follows the same rules, checks, and documentation.

Governed, not shadow AI.

Clear guardrails, auditability, and monitoring for every agent—so risk doesn't sneak in through side tools.

Aligned to ops KPIs.

Each agent is tied to metrics operations already cares about: cycle time, throughput, error rates, and cost per transaction.

Ready to explore where agents can take
real work off your operations team's plate?

terminal — magnetiz
magnetiz.ai  $ 
STATUS: READY MODE: agents
awaiting input...