Pricing

Pricing for governed AI visibility and improvement.

We are validating a hybrid commercial model that combines platform access, connector scope, included agent and workflow usage, committed usage bands, and clear controls for higher-volume organisations.

Pilot

Custom

For a focused first deployment

  • One operating area
  • Core connectors
  • Baseline agent usage envelope
  • AI impact and improvement metrics
  • Governance workshop
Discuss a pilot

Model under review

Organisation

Custom

For multi-team rollout

  • Multi-team visibility
  • AI Impact Explorer
  • Connector Hub
  • Pooled agent and workflow usage
  • Usage controls and overage visibility
  • SSO, audit, and usage controls
Request a demo

Enterprise

Custom

For governed rollouts

  • Enterprise graph and permissions
  • Custom connectors
  • SCIM and access review
  • Provider routing options
  • Enterprise agreement visibility
  • Committed usage bands and success support
Talk to sales

Usage model

The pricing unit should match the real operating cost.

Bridgly is not priced as raw token resale. The model is designed to reflect the platform, the connected operating surface, and the volume of governed intelligence work being performed.

Read the buyer guide

Platform scope

Tenant setup, role model, product surfaces, reporting depth, governance posture, support expectations, and success cadence.

Connector and evidence volume

Connected systems, sync frequency, event volume, historical backfill, evidence retention, and custom source integrations.

Agent and workflow usage

Grounded answers, proactive recommendations, workflow runs, evidence inspections, improvement loops, and any provider calls routed through Bridgly.

Provider routing

Customers may use their own OpenAI, Anthropic, or other provider agreements where appropriate, while Bridgly still attributes usage, cost, and outcomes.

Pricing questions

Built for platform value, not raw token resale.

Why not publish fixed per-seat pricing now?

The buyer value and cost shape depend on connector scope, agent/workflow volume, provider routing, evidence retention, and governance requirements. Publishing a simple seat price too early would hide the real variables.

Can usage be controlled?

The product direction includes usage attribution, budgets, bands, alerts, and workflow controls so high-volume agents do not create surprise spend.

Can an enterprise use its own model-provider agreement?

That is part of the intended enterprise shape. Bridgly should sit above provider relationships, giving visibility into usage and outcomes rather than forcing all customers into one provider path.

Request a demo

See how AI is changing work across your organisation.

Tell us where AI is already being used. We will show how Bridgly gives leaders visibility, measures impact, supports teams, and keeps permissions intact.

Request a demo