Posted by the founder of AgentFlow Enterprise
Most AI tools sold to revenue teams do one of two things: they either oversell magic and underdeliver on infrastructure, or they're so locked behind enterprise sales cycles that a real operator can never touch them without signing a six-month contract.
I built AgentFlow Enterprise to sit exactly in the gap between those two failure modes.
This is a behind-the-scenes look at what I actually shipped, the stack I used, the pricing logic behind the launch offer, and what I'd do differently if I started over.
What the product actually does
AgentFlow Enterprise is an AI-powered RevOps infrastructure layer. In plain language: it takes lead data, runs it through a configurable qualification engine backed by OpenAI, and outputs a structured decision — qualified, unqualified, or flag for human review — with reasoning.
The dashboard gives operators:
- AI-assisted lead qualification — configurable scoring logic, not a black box
- CRM-ready workflow automation — output structured enough to pipe directly into HubSpot, Salesforce, or any webhook-accepting CRM
- Protected dashboards — each tenant's data is isolated at the row level using Supabase RLS
- Revenue pipeline visibility — a real-time view of qualification status across the pipeline
- Stripe subscription checkout — three plans, real billing, not a fake "contact us" button
No mock screenshots. No fictional customer logos. No invented ARR graphs. Just the system as it exists.
The stack (and why I made these choices)
Frontend: Next.js 14 (App Router)
The file-based routing and server components make the protected dashboard pattern clean. I'm not fighting the framework to get auth-gated pages — it works with it.
Auth + Database: Supabase
Row-level security is the right call for multi-tenant SaaS at this scale. Every query is scoped to the authenticated user's organization. No cross-tenant data leakage by accident — it has to be intentional to break.
Payments: Stripe
Webhooks to Supabase on subscription state changes. The checkout is live. The billing portal is live. There's no "we'll add payments later" in this codebase.
AI Engine: OpenAI (GPT-4o)
The qualification engine makes real API calls. The demo is not hardcoded HTML — an actual inference call runs against the lead data you submit.
Hosting: Vercel
Predictable scaling, zero-config edge, preview environments per PR. For a solo-built product, this is the correct tradeoff.
Legal infra: Xolo Go OÜ (Estonia)
EU VAT-compliant, GDPR-ready, with a published DPA, subprocessor list, privacy policy, and cookie policy. Because skipping the legal layer is how you kill enterprise deals before they start.
The multi-model roadmap
I'll be direct about this: right now, the AI engine runs on OpenAI GPT-4o. That's not the long-term architecture.
The roadmap is a provider-agnostic orchestration layer that can route qualification workflows across:
- OpenAI GPT models
- Anthropic Claude
- Google Gemini
- xAI Grok
- Mistral AI
- Meta Llama
This matters because model monoculture is a liability. When GPT-4 had degraded performance issues last year, every product hard-wired to that single endpoint went down with it. A routing layer that can fail over — or that lets an enterprise customer specify their preferred provider for compliance reasons — is table stakes for serious RevOps infrastructure.
I'm being explicit that this is a roadmap item, not a shipped feature. I'm not going to describe vaporware as production.
The launch offer — and the logic behind the pricing
Here's the launch offer in plain terms:
| Plan | Normal Price | Launch Coupon | Discount | Redemptions |
|---|---|---|---|---|
| Solo | €49/month | SOLO20 | 20% off first month | 30 |
| Growth | €149/month | GROWTH30 | 30% off first month | 15 |
| Enterprise | €499/month | ENTERPRISE50 | 50% off first month | 5 |
Valid until June 30, 2026. First month only. No stacking. New customers only.
Why I priced it this way:
The first-month discount is a conversion mechanism, not a race to the bottom. I'm not trying to build a freemium user base of non-paying evaluators. I want operators who are serious enough to put a card down, even at a reduced entry rate.
The €499/month Enterprise tier at 50% off first month is €249.50. That's below the cost of one hour of a RevOps consultant's time in any serious market. If the qualification engine saves a revenue team three bad meetings per month, it paid for itself before the invoice hit.
The redemption limits are real constraints, not fake scarcity. When 30 Solo coupons are used, SOLO20 is done.
What I'd do differently
I'd build the demo differently. The current demo shows the qualification output clearly — but a first-time visitor can't see the AI call happening in real time. For a product whose core promise is AI inference, that's a gap. The roadmap includes a fully visible streaming inference demo where you submit your own lead data and watch the reasoning process in real time.
I'd also have started with a case study from day one. Even an internal test scenario, treated with rigor. The positioning is clear, but the proof layer is thin. That's the next 30 days.
Who this is actually built for
Three buyer profiles:
Agencies running AI-augmented RevOps for B2B clients who need a white-label-ready qualification layer they can deploy without building from scratch.
Developers who want a reference implementation of a production-grade multi-tenant SaaS — Supabase RLS, Stripe billing, Next.js App Router, OpenAI inference — and a starting point they can extend.
SaaS operators who've been running lead qualification manually or in spreadsheets and want a structured AI layer without a six-month enterprise sales cycle.
This is not built for Fortune 500 procurement at current maturity. I know what it is. I'm not going to misrepresent the stage.
The honest summary
AgentFlow Enterprise is a production-staged, honestly-positioned AI RevOps infrastructure product built by a solo developer using modern tooling, real payment processing, and a proper legal foundation.
It's not a demo. It's not a template. It's not a side project that happened to get a landing page.
It's also not a fully-validated SaaS with a thousand customers and a Series A. It's early. The launch offer reflects that.
If you're building in the RevOps AI space, I'd genuinely like to talk — not to pitch you, but to compare notes on what's working.
Launch offer: agentflow-enterprise.com/launch-offer
Coupons: SOLO20 · GROWTH30 · ENTERPRISE50
Valid until June 30, 2026.
Stack: Next.js 14 · Supabase · Stripe · OpenAI · Vercel · TypeScript
#saas #ai #revops #nextjs #supabase #buildinpublic #startups #typescript*
Top comments (1)
shipping an AI RevOps SaaS AND being transparent about cost + pricing is rare, respect for that. the build-cost question is exactly why Moonshift exists: agents build + deploy + market a SaaS overnight so the cost-to-launch drops hard. feels adjacent to what you shipped. first run's free if you want to compare build economics.