Agentic operations for technology and people
One front door for every operation
Resolve employee requests. Provision apps and cloud. Manage IaC, pipelines, and spend. Complete HR workflows. Origin turns user intent into governed action across your existing stack.
30-minute walkthrough · choose Technology Ops or People Ops
- 75%+
- Published market benchmark for routine request automation
- A category benchmark published by AI-native ITSM leaders, not an Origin customer claim
- 1 front door
- Across service, access, cloud, code, cost, and HR
- Employees use chat or voice; developers work from Git and delivery tools
- PR-first
- Infrastructure change with policy and approval gates
- Cost and policy checks run before merge, not after deployment
Operates through the systems you already trust
- ServiceNow
- Workday
- Okta
- GitHub
- Terraform
- AWS
- Azure
- Kubernetes
- Datadog
The operations gap
Users ask for outcomes. Teams manage disconnected tools.
The hard part is not generating an answer. It is connecting user intent to identity, policy, infrastructure, code, cost, and people systems, then executing safely and proving what changed.
One request, five operating queues
A simple environment or role request crosses service desk, IAM, cloud, Git, and finance. The user sees a ticket while operators perform the handoffs.
Automation without shared context
ITSM, HRIS, cloud, repositories, pipelines, and observability each see one slice. Scripts automate steps but not the end-to-end outcome.
Cloud cost arrives after the change
Teams discover budget impact after deployment. Cost, ownership, security, and expiry policy need to shape the change before it merges.
Built around the end user
Ask once. Origin finishes the work.
Employees stay in chat and voice. Developers stay in Git and their delivery tools. Origin coordinates the systems, policies, owners, and evidence behind each request.
Request from
Employee
“I need Figma and the analytics workspace for this project.”
Origin outcome
Origin verifies identity, checks role policy, routes the manager approval, provisions both tools, schedules access review, and confirms in Teams.
Design targets
Measurable from the first production workflow
Published category benchmarks and proposed architecture targets. Origin validates baselines, controls, and service objectives with each customer before a production commitment.
75%+
Market benchmark for routine service-request automation
A category benchmark published by AI-native ITSM leaders, not an Origin customer claim
2 lanes
Execution paths matched to the operation
Approve-then-act for employee ops; PR-first for platform changes
1
Front door across technology and people operations
Employees use chat or voice; developers can work from Git and their delivery tools
5 stages
From request to verified outcome
Request, context, plan, execute, and verify with evidence at every stage
Products
Technology and people, on one operations layer
Technology Ops spans service, provisioning, cloud, code, pipelines, and FinOps. People Ops completes employee service and lifecycle work. Both share identity, policy, context, and audit.
Single next step
Bring one request that crosses too many tools
App access, a cloud environment, a failed pipeline, cloud waste, onboarding, or an HR case. We map the user journey, controls, integrations, and measurable pilot outcome.
Modular platform
Every technology operation, one governed layer
Start with the request volume hurting most. Expand across access, infrastructure, code delivery, cloud economics, and people operations without adding another user portal.
Service & support
Resolve the request, not just the question
Understand context, search approved knowledge, execute allowed fixes, update ITSM or HRIS, and close the loop in the user’s channel.
ITSMHR casesChat + voiceAccess & provisioning
Provision every layer from one request
Create accounts, assign apps and groups, issue devices, or prepare cloud environments with identity verification, approvals, time bounds, and auto-revoke.
SaaSIAMCloudCloud provisioning
Deploy tenant infrastructure from one console
Pick a cloud account, region, environment, and blueprint modules. Origin previews computed resource names, checks quota headroom, and reuses the tenant baseline instead of recreating it.
AWSAzureMulti-tenantInfrastructure as code
Plan, approve, apply, then install
Every change runs as an OpenTofu plan against tenant state, waits at an approval gate, applies with scoped credentials, and hands new instances to app installation as a separate stage.
OpenTofuTerraformApproval gatesCode & pipelines
Move delivery work from failure to recovery
Explain failed builds in plain language, correlate logs and recent changes, draft a fix, and rerun only the stages your policy permits.
GitHubGitLabCI/CDCloud FinOps
Make cost part of every change
Show cost deltas in pull requests, enforce budget guardrails, attribute spend to owners, flag anomalies, and propose rightsizing or shutdown actions.
Cost gatesBudgetsOptimization
Executive outcomes
Metrics that show up in operating reviews
Employee velocity
Give employees and developers one place to request help, access, environments, and people services.
Delivery velocity
Move safely from intent to approved IaC change, pipeline recovery, or completed workflow.
Cloud efficiency
Shift cost checks into pull requests and automate owner-approved optimization after deployment.
Control and audit
Keep every access, infrastructure, code, cost, and people action inside explicit policy.
What buyers ask for
The bar for a modern service agent
Patterns technology, platform, cloud, FinOps, and people leaders use to evaluate agentic operations platforms.
Illustrative buyer requirements, not attributed customer quotes.
We need one request path that can provision the app, cloud role, and environment without bypassing policy.
CIO / Head of Technology
Cloud self-service should end in a reviewed pull request, not an agent running an unrestricted apply.
Platform engineering leader
People service works when the answer cites policy and the employee’s case, access, and HRIS record all stay aligned.
Head of People Operations
How it works
From user intent to verified outcome
- 01
Build the operations graph
Connect users, roles, services, tickets, HR records, cloud resources, repositories, pipelines, policies, observability, and spend.
- 02
Plan inside your guardrails
Origin creates an action plan or pull request, then checks identity, entitlements, security, budgets, approvals, and rollback before execution.
- 03
Execute, verify, and learn
Approved tools and pipelines perform the change. Origin verifies the outcome, updates systems of record, attributes cost, and preserves audit evidence.
ROI model
Numbers your COO will recognize
A transparent scenario using the calculator's conservative assumptions, not customer results. Replace every input with your own operating baseline.
Open ROI calculatorModeled automation
Rework reduction
Unified request path
OriginAI
Built for teams accountable for the outcome
Origin is the governed agent layer across service, identity, cloud, code, delivery, cost, and HR. Users get one front door while operators retain their systems, policies, and control.
CIO / Head of Technology
Unify service, access, cloud, delivery, and cost operations without weakening change control.
Platform / Cloud / FinOps leaders
Give developers a safe self-service path from request to PR, deployment, and cost ownership.
Head of People Operations
Answer employee questions and complete lifecycle work across HRIS, identity, payroll, and IT.
- Execution, not another dashboard. Origin carries work from request to approved action across service, access, cloud, code, cost, and HR systems.
- Governance is the control plane. Identity, policy, code review, budgets, approvals, and rollback rules determine what each agent may inspect, propose, and execute.
- One operations graph. People, roles, services, cloud resources, repositories, policies, tickets, and spend stay connected so agents act with current context.
Ready when you are
Pilot the operation that slows users down
Walk through a real Technology Ops or People Ops request on your stack. Leave with the execution path, guardrails, integrations, and success measures for a production pilot.
No long form. We schedule around your calendar.