How does Wagecore for teams price?

Starter is $5 per seat per month for organizations with 50 to 500 employees. Growth is $3 per seat per month for 500 to 5,000 employees. Enterprise is custom pricing above 5,000 employees. All tiers include the financial-projection Investment View today; organization dashboards, OAuth connectors, and SSO ship in Q3 2026.

What is the Investment View?

A 5-year financial projection on every Wagecard. Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period under transparent assumptions about operational AI cost, oversight time, error cost, and integration overhead. Designed for CFO-level conversations about AI rollouts.

What is shipping in Q3 2026?

Organization dashboards (org-wide substitution exposure by department and seniority), OAuth connectors (read-only HRIS), and SAML SSO.

Do you offer custom AI capability evaluations for our specific tasks?

Enterprise tier includes custom task taxonomies and per-organization capability matrices alongside the standard O*NET-anchored ones. Contact andrew@wagecore.ai.

How does Wagecore differ from Visier, JobsEQ, or other workforce analytics platforms?

Workforce analytics platforms focus on workforce planning at the headcount level. Wagecore is a per-role economic substitution exposure read: for each task a worker actually performs, what is the operational AI cost relative to salary, weighted by reliability, error cost, and human advantage. We complement workforce analytics tooling rather than replace it.

Is the methodology auditable?

Yes. The methodology is open, versioned monthly, and every Wagecard records which version produced it. Enterprise customers can run their own audit against the published rubric.

Where is the data hosted?

United States, on Supabase (Postgres) and Vercel. Row-Level Security on every table. Aggregated anonymous data has no client-side access — service-role only.

Email andrew@wagecore.ai with your headcount tier and we'll schedule a 30-minute call.

← Wagecore

For Business · design-partner cohort

See your org's AI exposure as a finance-grade read.

Wagecore for Business is a per-seat SaaS shipping in stages through 2026. The financial projection engine — NPV, IRR, Payback Period per role against an inference-cost decline curve — ships today as the Investment view inside every Pro Wagecard, running against the v1 capability matrix. The full multi-axis v1.5 economics (three-model evaluator panel + eval-disagreement confidence signal per ADR-017) lands in Q3 2026. Org-level dashboards, OAuth connectors, and SSO ship in subsequent releases on the roadmap below.

For orgs from 50 to 50,000 employees. Privacy-first by construction.

What ships when

We want you to know exactly what works today versus what's on the roadmap before you spend procurement time.

Live now

Individual Wagecards with the full 9-axis methodology. Investment View per-role (NPV, IRR, Payback, cash-flow table). Anonymous adoption signals. Open methodology, monthly refresh. Org preview — paste 50 roles, see a non-persistent heatmap + org-level financial roll-up right now.

Next 60 days

Persistent org accounts. CSV ingest for full JD list. Manual analyst engagement available for design partners. JD-parser ingesting from Greenhouse / Lever / Workday CSV exports.

Q3 2026

OAuth connectors: Workday, Greenhouse, JIRA, GitHub, Slack. SSO (Okta, Entra). SCIM provisioning. Per-seat self-serve billing.

Q4 2026

Deep calibration via Slack / Notion / Confluence sampling. Custom role taxonomy extensions. Audit logs, IP allowlist, regional data residency. On-prem option.

What's in the dashboard

Org heatmap

By team, by role

Every team and role rendered against the four-class substitution taxonomy — replaceable / AI-augmented / human-led + AI-assisted / human-critical. Drill from company to team to role. Filter by department, level, or geography.

Financial projection

NPV · IRR · Payback Period

For any planned AI rollout, see year-1 to year-5 NPV under your own discount rate, IRR, and payback period — calibrated to your actual loaded labor cost and the matrix's current per-task operational cost. Ships with methodology v1.5.

Adoption signals

From your own employees, anonymous

Opt-in 15-second flow your employees can run after computing their personal Wagecard. Distributions appear in the org dashboard only above a 5-person aggregation floor. Never per person.

Continuous refresh

Methodology versioned, dashboard auto-updates

Every Wagecard records the matrix version it was computed with. When v1.5 ships, the dashboard recomputes against the new matrix automatically. No re-engagement, no “refresh purchase.”

Connectors (Q3 2026)

OAuth integrations ship in Q3 2026. Until then, design-partner cohort customers can use CSV upload (org chart + JD list) — the same engine runs on either ingest method.

Required

Workday · BambooHR · Rippling · Personio (HRIS)
Greenhouse · Lever · Ashby (ATS)

Recommended

JIRA · Linear · Asana (tickets)
Google Calendar · Outlook (meeting taxonomy)
GitHub · GitLab (engineering)

Deep calibration

Slack · Microsoft Teams · Notion (sampling)
Zendesk · Intercom (support orgs)
Salesforce · HubSpot (sales orgs)

First-party connectors at GA: Workday, Greenhouse, JIRA, GitHub, Slack. Others via SCIM or CSV upload at launch; native OAuth shipping by Q3 2026 based on customer demand.

Pricing

Per-seat monthly subscription with employee-count bands. Annual commitment 17% off. Indicative for the pre-launch waitlist; final terms set at scoping call.

Starter

50 – 500 employees

$5 / seat / month

Full dashboard (heatmap, financial projection, adoption signals)

Job description + org chart ingestion

Monthly methodology refresh applied automatically

Email support

Annual term: $50 / seat / year

Growth

500 – 5,000 employees

$3 / seat / month

Everything in Starter

Ticket-system + calendar + code-host connectors

Department-level heatmap drilldown

Quarterly board-deck export

SSO (Okta, Entra) and SCIM provisioning

Shared Slack channel for methodology questions

Enterprise

5,000+ employees

Custom

Everything in Growth

Sampling-based deep calibration (Slack, Notion, Confluence)

Custom role taxonomy extensions

Audit logs, IP allowlist, regional data residency

On-prem or VPC-isolated deployment option

Optional design-partner audit engagement add-on

The optional design-partner audit add-on ($75k–$250k per quarter) is how the first dozen customers will work with us during pre-launch — a manual analyst pass alongside the dashboard so we both learn what to surface next. It's an add-on, not the product.

If the methodology is open, what does Wagecore actually sell?

A reasonable question, and one we want answered before you sign in. The methodology — formula, axes, confidence bands — is open because honest economics need to be auditable. What's under license is the underlying dataset and its continuous refresh:

The capability matrix. 50 roles × 33 tasks × 9 axes × monthly refresh against three frontier-model evaluators. Reproducing this internally is roughly $300–500k/year in eval compute plus a dedicated engineer.
Salary benchmark integrations.BLS isn't granular enough at role × geo × experience. Levels.fyi, Glassdoor, and Payscale paid feeds, plus our first-party contribution dataset, cost $50–150k/year to maintain in-house.
Cross-industry adoption distribution.Anonymous per-task AI-usage signals collected across thousands of workers in different companies and industries. A single company — even a Fortune 500 — can't reproduce this because their internal sample is, by definition, one company.
Comparability.When your CFO says “our AI exposure is 65,” the CFO across the table understands the number only because both organizations are referencing the same Wagecore scale. A bespoke internal score isn't readable outside.

The formula is open so you can audit our reasoning. The data is what you're paying for — and what's impractical to rebuild even if you wanted to.

How we handle privacy

A dashboard that names individuals isn't a useful product — it's a liability. Four rules govern every deployment:

Aggregation floor. No insight is computed from fewer than five individuals. Smaller teams roll up.
No per-person disclosure.The dashboard's deepest unit of analysis is a role within a team. Never a named person.
Data minimization + discard.Per-person raw signal is parsed, aggregated, then discarded on a rolling 30-day window. We don't retain individual-level inputs.
Audit trail. Every output is traceable to the source we ingested and the methodology version applied. Reproducible for your legal and audit functions.

Methodology and privacy policy are open: /methodology · /privacy.

Join the business waitlist

We're onboarding a small cohort of design partners through Q3 2026. Drop your work email and we'll reach out to scope.

Prefer a direct line? Email hello@wagecore.ai with company size and the question you're trying to answer. We respond inside 24 hours.

FAQ

Is this software, consulting, or both?: Software. Wagecore for Business is a per-seat SaaS subscription. You connect your tools, see the dashboard, pay monthly. The optional audit engagement add-on for the design-partner cohort is a manual analyst pass on top — useful early on while we learn what to surface, but not the product.
Do you need our employees to fill out a questionnaire?: No. The dashboard reads from artifacts your company already produces — JDs, tickets, calendars, optionally activity sampling. Adoption signals are opt-in 15-second submissions employees can run from their personal Wagecard, never required.
If the methodology is open, why pay?: The formula is open so you can audit reasoning. The data — capability matrix refreshed monthly against three frontier models, salary benchmark integrations, cross-industry adoption distribution, industry-standard score — is what you're paying for. Reproducing it internally runs $300–500k/year in eval and data licensing alone, and the cross-industry signal isn't reproducible at all from inside one company.
What if our JDs are out of date?: Common. We flag stale JDs (typically anything not updated in 18+ months) and use ticket-system + calendar signal to fill gaps. The dashboard shows the basis for each inference.
Does this work for non-knowledge-work roles?: Methodology is calibrated for knowledge work first — engineering, product, design, marketing, ops, support, sales, finance. Operations and field roles ship in the Q4 2026 matrix update. We won't surface insights for populations the methodology can't defend yet.
Can we run this against a competitor's org?: No. We won't connect to an org without its consent. Data ingestion requires authenticated access to your own systems.

Try the org preview →Join the waitlist Read the methodology