Senior leadership funding case

Fund the factory. Reduce the run cost.

The Website Factory is a product team model for delivering governed websites repeatedly. The funding case is simple: keep the accountable internal leadership roles, retain external build capacity, and replace three recurring specialist roles with AI-enabled controls.

How the product team runs.

The operating model keeps business and technical accountability internal. External spend is focused where it creates build throughput, while AI takes over repeatable checks, release orchestration, and quality gates.

Traditional product team

Product OwnerInternal employee, accountable for prioritization and business value.
Internal
Tech LeadInternal employee, accountable for architecture and technical governance.
Internal
Three DevelopersExternal delivery capacity for website builds and reusable patterns.
$180K
Security ChampionExternal specialist role for security review and controls.
$60K
Quality AssuranceExternal specialist role for regression, accessibility, and release checks.
$60K
DevOps EngineerExternal specialist role for environments, deployment, and operational readiness.
$60K
Annual external cost$360K

AI-enabled product team

Product OwnerInternal employee, still accountable for scope, value, and stakeholder decisions.
Internal
Tech LeadInternal employee, still accountable for engineering standards and delivery governance.
Internal
Three DevelopersExternal delivery capacity remains, now amplified by reusable AI-assisted patterns.
$180K
Security ChampionExternal specialist role for security review and controls, replaced by AI controls and Tech Lead governance.
$60K
Quality AssuranceExternal specialist role for regression, accessibility, and release checks, replaced by continuous AI-assisted verification.
$60K
DevOps EngineerExternal specialist role for environments, deployment, and operational readiness, replaced by templates and release automation.
$60K
Annual external plus AI tokens$187.2K

AI token funding is estimated at $1.8K per year for each developer plus the internal Tech Lead: 4 users x $1.8K = $7.2K per year.

Traditional external run rate $360K

Six external roles at $60,000 per year.

AI-enabled annual run rate $187.2K

Three developers plus $7,200 AI token funding.

Projected annual cost reduction $172.8K

Savings from lower product-team run cost only. Website value generated by the internal AI-powered factory comes on top.

What AI replaces.

The roles of repeatable tasks where custom AI skills can do the job.

Security

Security by Design.

We build with ITPF embedded into code by using the AI skills.

Quality

QA becomes continuous verification.

Accessibility, responsive behavior, SEO basics, broken paths, and production-readiness checks move from manual late-stage review into an AI Playwright-cli skill.

DevOps

Release patterns become templates.

Hosting, environments, deployment steps, smoke tests, rollback notes, and operational handoff become codified patterns instead of bespoke setup for every site.

12-month expected return.

At a planned throughput of four websites per month, the factory can deliver 48 websites in a calendar year. At $30,000 saved per website, throughput generates $1.44 million in annual value before considering the separate product-team cost reduction above.

Calendar-year net benefit

$1.253M

Modeled throughput savings after funding the $187.2K annual AI-enabled product team run rate.

Websites delivered 48
Gross delivery savings $1.440M
Annual run rate -$187.2K
Expected ROI 669%

Cumulative value generated.

Annual run-rate threshold
$187.2K invested

The model adds $120K in website savings each month. Annual run rate is recovered during month 02; the projected $172.8K structural cost reduction is not added into this ROI calculation.

Test a lower-volume scenario.

Use the slider to explore a conservative first-year ramp-up from one to twelve completed websites, using the same editable savings-per- website assumption above.

Websites 7
Delivery savings $210K
Net after AI team $22.8K

At seven websites, the $210,000 delivery saving covers the $187,200 AI-enabled annual run rate and leaves $22,800 in net annual benefit.

Break-even timeline

The full AI-enabled annual run rate is covered by the seventh website. The $7,200 AI token funding itself is recovered during the first website because each site saves $30,000.

Governance process flows.

The factory will ship with documented flows that make routing, delivery, and support decisions visible. These flows explain when a request needs extra governance, how approved work moves through the product team, and how live websites stay maintained.

Flow 01

Intake routing decision tree.

A decision tree based on the intake form will determine whether a request must navigate the DISD process or can move directly into the Product Team backlog.

  • Uses scope, risk, CMS, privacy, domain, and complexity signals from intake.
  • Creates a clear handoff path before delivery work begins.
Flow 02

Product team delivery workflow.

Once intake is approved, the Product Team follows the factory stages from prototype through release: make the experience visible, harden production quality, provision launch, and release with evidence.

  • Covers stages 02 to 05 of the landing-page factory model.
  • Defines review gates, backlog movement, and release evidence.
Flow 03

BAU support and maintenance model.

A support flow will define how live websites are maintained by the Product Team after launch, including content changes, defects, monitoring, small enhancements, and escalation paths.

  • Separates planned BAU changes from new project demand.
  • Connects support activity back to backlog, ownership, and service expectations.

Fund a delivery engine, not another one-off project.

Return to factory model