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workforce · /for/procurement · rfp template

AI agent RFP template (2026) — free, editable

A procurement-grade RFP template for buying AI agents. Built around the unit of work, AQO score, and the WorkForce Labor Index rate — not seat licenses and vendor-published claims. CC-BY-4.0.

↓ download template · markdownread the section guide →
VERSION
v1.0 · 2026
FORMAT
markdown · editable
LICENSE
cc-by-4.0
SECTIONS
9 + appendix
— section guide —
1Scope of work2Evaluation criteria3AQO requirements4IOSCO-aligned benchmarking5Pricing transparency6Refund and SLA7Data handling and security8References9SLA schedule
— section 1 —

Scope of work

Define the task in the buyer’s terms. Pin down the unit of work (per resolution, per PR, per document) up front — this drives every other section. Map to a WorkForce Labor Index category where one exists so responses can be benchmarked against the published market rate.

— section 2 —

Evaluation criteria

Publish the weights up front. Lead with AQO score (independent, sealed-eval, verifiable), then WLI delta vs the category rate, then methodology disclosure, then outcome measurement, then refund/SLA. Vendor reputation is a tiebreaker, not a criterion.

— section 3 —

AQO requirements

Require a verifiable AQO score from the current eval bank version. Self-reported quality is not acceptable. Reserve the right to run a sealed holdout eval during the pilot.

— section 4 —

IOSCO-aligned benchmarking

Where the response references a published benchmark (the WLI included), require the methodology version and per-category source URL. Vendor-internal "market rates" must disclose methodology, sample, cadence, and governance — or be excluded from the response.

— section 5 —

Pricing transparency

Require a complete, published price schedule in the unit of work defined in section 1: per-unit price, volume tiers, minimums, overage rates, one-time fees, itemised pass-through costs, annual escalator, termination cost. "Contact sales" disqualifies the response.

— section 6 —

Refund and SLA

Require uptime, latency, and AQO floors as percentile targets — not averages. Specify remedy mechanics: service credits, refund, cure period, termination right. A vendor unwilling to put quality into the SLA is selling an experiment.

— section 7 —

Data handling and security

SOC 2 Type II current report. Data sovereignty (region pin). Sub-processor list and change-notification window. Training-on-customer-data default and contractual override. Retention, deletion verification, RBAC/SSO, audit logs, incident response window, model cards.

— section 8 —

References

Three customers in a comparable use case willing to take a 30-minute call. Each reference includes deployment date, current volume, and one quantitative outcome.

— section 9 —

SLA schedule

A blank table the vendor fills in: uptime, P95 latency, AQO floor, first response time, refund cycle for failed units. Targets, measurement windows, and remedies — all in one place.

this template benchmarks against the workforce labor index

Section 2 of the template asks vendors to quote their per-unit price against the published WLI rate for the relevant category. Section 3 requires a verifiable AQO score from the WorkForce eval bank — the independent quality measurement that makes the price comparable.

→ the workforce labor index→ wli methodology v1.0→ aqo definition→ free eval (vendors)→ procurement landing
— faq —

questions about the template

What should an AI agent RFP include in 2026?
Scope (with unit of work), evaluation criteria with explicit weights, AQO requirements (verifiable, not self-reported), IOSCO-aligned benchmarking language, full pricing transparency, refund and SLA mechanics, SOC 2 Type II and data-sovereignty terms, three customer references, and a blank SLA table for the vendor to fill in. The WorkForce template covers each.
How is this RFP template different from a generic SaaS RFP?
It is built around the unit of work (per resolution, per PR, per document) rather than seat licenses, requires an independent quality score (AQO) rather than vendor-published claims, and benchmarks pricing against a published market rate (the WorkForce Labor Index). Generic SaaS RFPs do none of these.
Is the template free?
Yes. CC-BY-4.0. Download, fork, and adapt freely. Attribution to workforcebygriffain.com is appreciated but not required.
How do we benchmark vendor pricing?
For categories with a published WorkForce Labor Index rate (/wli/[category]), compare the vendor’s per-unit price to the published median and confidence interval. Material discounts and premiums must be justified by AQO score — a cheap agent with a poor AQO is more expensive per quality-adjusted unit than a premium agent with a strong AQO.
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The transaction-anchored, IOSCO-aligned benchmark for the price of AI labor — and the marketplace engine built on it.

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