It's Okay to Waste Tons of Money with Bad Consulting Partners, but Tokens Are Too Much Money?→
Executive Brief
It's Okay to Waste Tons of Money with Bad Consulting Partners, but Tokens Are Too Much Money?
Your organization cannot make serious arguments about spend until outcomes are tied to investment.
Measure value stream before defending any single invoice.
Measurement precedes investment. An organization that cannot attribute software outcomes cannot make a serious argument about token spend, consulting spend, offshore capacity, or the management layers around delivery.
Example: A software team delivers a feature, but no one knows if it improved user engagement. Without that measurement, defending the cost of the project is impossible.
Token spend visibility is useful, not a complete economic model.
Token spend is visible because it appears as a new variable cost. This visibility is useful, but it is not a complete economic model. The same scrutiny belongs on offshore teams, staff augmentation, systems integrators, vendor services, Scrum Masters, agile coaches, delivery managers, release trains, quarterly planning, maturity assessments, and tool sprawl.
Example: A new line item on a budget immediately draws attention. An existing, larger line item that quietly grows over time may escape scrutiny due to familiarity, despite its higher cost.
The correct denominator is accepted production outcomes. Hourly rates, seat licenses, ceremonies, and cloud invoices are inputs.
From the Executive Brief
Offshore capacity is cheap only when accepted outcomes are cheap.
A six-person pod at $85 an hour costs $81,600 a month before internal management load; with internal review and product clarification, that becomes roughly $88,000 before delay and support cost. If it ships two accepted outcomes, the cost is about $44,000 per outcome.
Example: A project uses an offshore team for a low hourly rate, but the constant need for clarification and rework by internal staff doubles the effective cost per deliverable.
AI spend should be judged against market, not false zero-cost baseline.
If an internal team spends $31,000 on AI tools and produces two additional accepted outcomes, the incremental cost is $15,500 per additional outcome. If the alternatives cost $22,000 to $44,000 per accepted outcome, the token line may be the cheaper capacity channel.
Example: When evaluating a new internal tool that costs money, compare its per-outcome cost to the existing per-outcome cost of consultants or staff augmentation for similar work, not to an imagined "free" alternative.
Governance should change when capability changes.
If an IDE cost $12,000 per engineer per year and made the organization 40% faster, leadership would buy it and change review policy, release gates, security checks, architecture approval, product intake, budgeting, and measurement to exploit the speed. Token governance deserves the same operating-model review, not only individual usage caps.
Example: A new technology allows for rapid, automated deployments. The organization should revise its lengthy manual approval process rather than simply adding the new tool to an outdated workflow.