Economics & ROI

Build vs Buy vs Orchestrate

Not a cost comparison but a question of which layer is your durable moat: the three-branch decision tree, the hidden costs each path omits, and the lock-in you price today but pay later.

Agent Unit Economics

Cost per token is the wrong unit; cost per successful task is the right one, with the success rate in the denominator where small reliability gains swing margin hardest.

Per-customer economics

Whole-system unit economics hide which customers cost you money — a per-tenant cost view, what drives the heavy-tail user, and the levers you actually have.

Cost Attribution & Budgets

The provider bill is at the wrong granularity to act on: tag spend by feature, tenant, user, and version, propagate it through fan-out, and make budgets runtime circuit breakers, not reports.

Measuring Agent ROI

Value over a defensible counterfactual, net of the human still in the loop, on a cumulative time-to-value curve — and why the "agent replaces a human" framing is a category error.

Pricing & Packaging Agent Products

Seat, usage, and outcome pricing each misalign somewhere; align price with delivered value but defend the floor, because more autonomy means you hold more variable-cost risk.

Where the Economics Breaks

Unit economics do not erode gradually — they invert at retry storms, the long tail, escalation, the eval bill, and the silent-failure tax; watch the failure surface, not the average.

Provisioned Throughput & Commitments

A 30% discount means breaking even at 70% sustained utilisation, which bursty agent traffic never reaches — so reserved capacity is a latency guarantee you can put in front of a customer, not a saving, and a term commitment quietly freezes your model choice in a market that moves quarterly.

The Cost of Evaluation

Eval spend scales with change rate, not traffic, and its price is set by the smallest regression you insist on catching — which costs quadratically, so a two-point threshold buys roughly 7,700 runs where a five-point one buys 1,400.

The Cost of Human Review

The reviewer costs ten to fifty times what the tokens do, and it is the only line that does not shrink when the agent gets better — because a reviewer has to read the correct outputs too; only calibrated selective review removes it.

Scaling Back an Agent Deployment

Nearly half of enterprise leaders cut an agent deployment last quarter over cost, and "scaled back, narrowed, delayed or paused" is four names for one blunt instrument — inside a single deployment one workflow can clear its manual baseline by 55× while another loses money every run, so cut the task class instead, carve out the tail before condemning the class, and write the resume condition down as a number.

Free Tiers & Trial Economics

A SaaS free tier is capped by human boredom; an agent free tier is capped by nothing, because the user is a loop and the marginal cost is real — so price the tier off the maximum a single account can consume rather than the average, meter work instead of days or seats, and enforce the ceiling at request time rather than in a monthly review.