1
1-2 weeks
Decide if it deserves deployment
Workflow map, ROI estimate, readiness review, governance design, and fixed-price deployment proposal.
Production deployment
One workflow, live in 45 days.
The pod turns one assessed workflow into production AI inside your existing tools, with approval rules, exception paths, audit logs, training, KPI baseline, and a clear ownership handoff.
Deployment Pod
Fixed-price production build.
$35K-100KScope depends on systems, data readiness, approval complexity, security, and rollout surface.
01 - Pod sequence
The pod is designed around production conditions, not prototype theatre.
2
45 days
Ship one workflow
Connect systems, build the workflow, define approvals, test on real cases, train users, and baseline KPIs.
3
Monthly
Operate, improve, expand
Monitor quality, tune thresholds, improve copy and routing, handle exceptions, and plan the next workflow.
Week-by-week
What should happen before day 45.
The exact system work depends on the workflow, but the operating rhythm is deliberately predictable: decide the slice, connect only what is needed, test real cases, and launch with human ownership.
| Period | Agentra output | Client responsibility | Exit signal |
|---|---|---|---|
| Days 1-5 | Final workflow slice, access plan, sample-data request, approval matrix, KPI baseline plan. | Name owner, approve scope, provide samples, unblock system/security access. | Build can start without guessing the workflow. |
| Days 6-15 | First controlled workflow path, integration checkpoints, exception categories, draft outputs. | Review first outputs and confirm rule changes quickly. | Real cases can run in a controlled test path. |
| Days 16-30 | Edge-case testing, approval queue, audit log format, KPI baseline, user feedback loop. | Approve exception handling and validate outputs against real operating judgment. | The workflow is safe enough for a controlled launch. |
| Days 31-45 | Go-live checklist, training, launch report, ownership handoff, AgentOps recommendation. | Confirm launch users, approve handoff, decide internal ownership or AgentOps. | Live workflow meets Definition of Live. |
02 - Definition of Live
The pod is done only when the workflow is live by this standard.
- Connected to agreed systems
- Handles real workflow cases
- Human approval paths are active
- Exception queues are defined
- Audit logs are available
- Users are trained
- KPI baseline is in place
- AgentOps or client ownership is assigned
Scope control
The pod ships one workflow slice, not an open-ended AI program.
This keeps the project measurable. If the workflow needs a platform rebuild, data cleanup program, or policy overhaul first, Agentra should say so before deployment starts.
Included
- One agreed workflow slice
- Required system connections
- Approval and exception paths
- KPI baseline and launch report
- User walkthrough and handoff
Not included by default
- Full CRM or ERP rebuild
- Unbounded workflow catalog
- Autonomous material actions
- Public proof asset
- Legal/security policy writing
What delays launch
- No workflow owner
- Delayed system access
- Undefined approval thresholds
- Insufficient real samples
- Security or legal review not started
03 - Commercial ladder
Deployment follows diagnostic proof.
AI Workflow Diagnostic
$5K-15KWorkflow map, ROI estimate, readiness review, governance design, and fixed-price deployment proposal.
See diagnostic45-Day Deployment Pod
$35K-100KOne deployable workflow connected to real systems with approvals, logs, training, and KPI baseline.
See deployment podAgentOps Retainer
$5K-20K/moMonthly monitoring, improvement, exception review, governance, and expansion planning.
See AgentOps