Client delivery
Lead intake and triage offer
Package inbound form capture, AI-assisted qualification, and operator review as a client-facing RevOps workflow.
For Agencies
Launch AI-assisted lead qualification workflows for clients without building the infrastructure from zero.
AgentFlow Enterprise gives agencies and RevOps consultants a serious foundation for client demos, implementation sprints, protected workflow delivery, and buyer-ready technical review.
Who it is for
Built for operators who sell implementation, not theater.
The strongest fit is an agency, RevOps consultant, or technical studio that wants to productize lead qualification and automation work without inventing authentication, billing, provider boundaries, and diligence documentation from scratch.
Delivery speed
Secure implementation sprint
Start from existing auth, protected dashboard routing, billing readiness, provider boundaries, and documentation instead of a blank repo.
Adaptation
White-label adaptation path
Adapt positioning, forms, scoring prompts, CRM handoff language, and operational docs for a client niche while preserving the core SaaS foundation.
What agencies can do
Turn the codebase into a client-specific delivery asset.
Use AgentFlow as a starting point for AI lead scoring, demo-request triage, CRM-ready handoff, protected dashboards, and staged automation rollouts.
- Position a client-specific AI qualification workflow with honest implementation scope.
- Adapt public copy, lead forms, scoring criteria, dashboard labels, and operating docs.
- Run fictional demos for stakeholders before connecting real client systems.
- Connect HubSpot, Slack, outbound webhooks, or custom workflows only after environment verification.
- Use the documentation set as a starting point for procurement and buyer review.
- Keep human review in the loop for qualification outcomes and next actions.
Already built vs verify
A credible foundation with clear staging boundaries.
The product is intentionally not presented as revenue-validated or enterprise-adopted. It is a working SaaS asset that still deserves client-by-client verification.
AI qualificationBuiltServer-side route supports structured lead scoring and recommended next actions.
Client CRM handoffsConfigurableHubSpot is supported when environment variables are configured; client-specific mappings still need validation.
Google Calendar / SheetsReadinessEnvironment readiness is documented, but these should not be sold as fully implemented workflows until staged end-to-end.
Live billingVerifyStripe live mode, webhook delivery, customer portal, and provisioning should be tested before onboarding a real client.
Proof before promise
Use the public demo, tests, docs, and deployment checklist as evidence while avoiding fabricated customer outcomes.
Adaptable but not magic
Client onboarding still requires provider credentials, environment configuration, production QA, and workflow-specific acceptance testing.
Buyer-safe language
The asset can be licensed, customized, or sold as a foundation without claiming certifications, paying customers, or guaranteed results.
Agency path
Review the demo, pricing, and implementation docs before a client sprint.
The best next step is to inspect the public demo and documentation, then define the client workflow and verification plan.