Live AI RevOps Demo

AgentFlow Enterprise Demo

Evaluate a secure AI RevOps workflow from lead intake to qualified revenue action.

Evaluation workspace

A controlled demo environment for serious revenue operations review.

AgentFlow Enterprise shows how a lead can be captured, qualified, prioritized, enriched for CRM handoff, and prepared for audit-aware revenue execution. Production integration depends on configured AI, CRM, billing, monitoring, and database environments.

Run demo workflow View trust architecture Request invoice / bank transfer Request Founder Audit

RevOps control plane

From intake signal to qualified opportunity.

01Lead intake

02Field validation

03Qualification profile

04Revenue priority

05CRM payload

06Sales workflow

07Audit event

Workflow input

Run a representative lead scenario

Demo environment - sample workflow for evaluation. Edit the lead scenario below and run the workflow to review qualification, routing, risk, CRM, and audit outcomes.

Lead nameCompanyWork emailCompany sizeIndustryBudget rangeUrgencyCRM source

Pain point

Qualification result

Revenue-ready decision view

Ready to run the demo workflow.

Qualification score, buyer intent, ICP fit, revenue priority, risk flags, CRM routing, and audit status will appear here.

Audit timeline

Observable qualification flow

1Lead capturedSample lead fields accepted into evaluation workspace

2Identity and field validation completedEmail format and required operational context checked

3Qualification profile generatedReady to calculate score

4Revenue priority assignedPending workflow run

5CRM-ready payload preparedPending workflow run

6Sales workflow queuedPending workflow run

7Audit event recordedPending workflow run

Trust architecture

Built for enterprise buyer confidence without overstating deployment status.

Protected dashboard execution

Operational qualification runs belong in authenticated workspaces with usage controls and protected routing.

Role-aware access model

Enterprise deployment supports workspace ownership, team access patterns, and controlled handoffs.

Supabase-backed data layer

The platform is designed around a configured Supabase application data layer without exposing client secrets.

PayPal and invoice payment readiness

Payment paths remain separate from the public demo and depend on configured provider and storage environments.

CRM integration path

Lead and qualification payloads are shaped for downstream CRM routing and revenue workflow handoff.

Audit-log ready architecture

Qualification events can be represented as traceable workflow activity for operational review.

Monitoring-ready integration layer

Deployment can connect observability and product analytics tools such as Sentry, Amplitude, or PostHog.

Server-side AI boundary

Configured AI calls stay behind server routes so browser code never receives model provider credentials.

Buyer fit

A controlled AI qualification layer before leads enter revenue workflows.

AgentFlow Enterprise is designed for founders, RevOps teams, and agencies that need governed lead qualification, CRM-ready handoff, and operational visibility before sales teams spend time on inbound opportunities.