Five-year value capture for a software company. Support deflection, engineering leverage, and gross-margin scale.
Prepared by Vincent Oliver
Value Creation Operator
Scenario: Base Case
Client Value · 5-Year
—
Net of fees paid to Agentic Assembly
Total Investment · 5-Year
—
Build + retainer
Client Payback
—
On build investment
Scenario
The dominant driver is support cost: AI deflects a share of inbound tickets end-to-end. Conservatism is modeled as the deflection rate, with engineering leverage and margin scale layered on top. All of it ramps through build, pilot, and full rollout.
Operating Inputs
$
Agent time + tooling
mo
mo
$
One-time engagement fee
$/mo
Begins after build
Value Drivers · Annual at Full Run-Rate
Labor cost eliminated
—
Computed · support deflection
Time reallocated to higher-value work
$
Engineering leverage
Revenue uplift
$
Churn / faster roadmap
Cost reduction
$
Infra / tooling
Gross-margin scale
$
Optional · serve more per head
Labor cost eliminated is computed from ticket volume, deflection rate, and cost per ticket. The other four are supporting value drivers identified in the audit; each ramps with adoption.
What Gets Built
AI support agent. Resolves common tickets end to end, with human escalation.
Engineering copilots. Accelerate build and code-review cycles.
Knowledge automation. Keeps documentation and responses current.
Operations dashboard. Tracks deflection rate, resolution time, and cost per ticket.
Capability overview. Specific systems are scoped to your operation during the Opportunity Audit.
Five-Year Build-Up
Period
Tickets deflected
Client value
Agentic Assembly fees
Client cumulative
Year one is partial by design: value accrues after build and pilot, then ramps to full rate. Client value is shown net of fees so the two columns never double-count.