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.
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
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