What's running today, what ships next, and how fast we move.
Companion to the Flowz product deck.
AUGUST 2026 · CONFIDENTIAL
The core loop: Data → Analyze → Insights → Flows (Actions)
One clean model for customers, orders, tickets, events, products, campaigns & communications. Every record keeps track of which system it came from – so any vendor's data maps into the same structure.
Automatic sync pulls fresh data from the connected platforms every few minutes – plus a one-shot historical backfill that loads years of past events and orders on day one.
Phone-first customer identity with email fallback and cross-source dedupe – one person stays one person across systems, files and brands. Built for the messy reality of real-world event data.
Lifecycle stages, retention & LTV profiles, and sales velocity vs past editions – live in the app today, computed right where the data sits instead of in spreadsheets.
Clients, orders and full ticket history flow into a living client profile – through a live API or a dedicated parser, depending on the platform. Where the platform allows it: list creation, order edits and more advanced actions.
Lists sync and campaigns launch directly through the client's own provider – contacts, lists, campaign history and engagement all feed the customer profile. Exporting lists is always an option.
CONTROLROOM – GLANCE · PACE GRAPH · INSIGHTS | FLOWZ
The operator's landing view – live status, sales trackers and what needs attention, in one viewport.
Per-event tracking, pace vs past editions, pricing views and projections.
Lifecycle × value-tier view of the whole audience, with drill-downs and exports that match the screen.
Channel performance, audience growth and campaign results against targets.
The original production app – running the business daily while the new surface lands.
Final touches in progress: refreshed tier definitions and per-event targets (break-even, sell-out). The insight & flow panels arrive with the intelligence roadmap.
50 insights + 50 flows, each specified down to its exact data needs and paired action – written from years of operating real events. The engine's curriculum, ready before the engine.
Signal rules computed straight from the data: pace vs target, churn flags, budget drift. The first track on the roadmap – concrete, measurable, no magic.
AI reasoning over the organization's data, grounded in the bank and market-behavior playbooks. The deeper build – sequenced after the algorithmic track proves out.
A roadmap item we take seriously: the bank is written, the surface is built, the tracks are defined – work on the algorithmic track starts in the coming weeks, prioritized with our design partners.
Create and manage ads across feed, stories, reels and marketplace; read real-time analytics; target by age, gender, location, interests and behaviors; build audiences and lookalikes from any Flowz segment.
Official WhatsApp Business platform through a compliance-certified partner: broadcast to CRM segments, chat-bots, two-way conversations, and ads that click straight into WhatsApp – on the client's own number. The connection is quick; the customer-communication interface is the real build, and we're building it properly.
Campaign creation and launch through a certified tech partner, with real-time spend, CTR, CPC and CPM per ad. A supporting channel by design – not the main focus.
For markets where texting leads – the US in particular – SMS/MMS over the client's own number, custom numbers on request, riding the same segment rails.
Every client's data lives in its own isolated organization – separate access, separate connections, separate modules. One organization can never see another's data, and a user with no organization sees nothing at all.
Today, each brand can run as its own fully-isolated organization. A unified cross-brand portfolio view – one dashboard over all brands – is an optional build, 5–7 weeks once we prioritize it together.
Clients keep ownership of their ad accounts, messaging numbers and data – always. Flowz connects with permissions the client can revoke; it never takes custody.
A dedicated security specialist runs a full review of the stack – data rules, permissions, secrets – ahead of enterprise onboarding, once terms and roadmap are agreed. Verified, not assumed.
Everything in this deck was designed, built and shipped by a two-person founding team working AI-accelerated: a full data platform, 20+ shipped features, a new product surface, and a 100-item intelligence bank.
At GO, the engineering bench is ready – capacity scales the day the decision is made, not after a hiring cycle. We accelerate beyond the demonstrated pace; what remains is focus: pick the vertical, fit the demands per client, ship.
1. Survey & data inventory → 2. Bundle assembly (core + optional) → 3. Integration validation before deployment → 4. Build & onboard → 5. Usage-driven v2. Onboarding a client is a process, not a project.
A dedicated specialist reviews the full stack – data rules, permissions, secrets, privacy practices – before enterprise onboarding. Scheduled as part of the agreed roadmap, so commitments are verified, not assumed.
Utilities being brought over and hardened as the new app becomes the main one: Hebrew–English name matching, AI-powered search, and deeper operational logging.
Refreshing the customer tier definitions and adding per-event targets – break-even, sell-out and friends – across the live dashboards. Touch-ups, not construction.
The cross-brand portfolio view (5–7 weeks) and further modules get scheduled by the priorities we choose together – the roadmap bends to the partnership, not the other way around.
| Capability | Status today | Time to production | How |
|---|---|---|---|
| Additional ticketing integrations | Playbook proven | 1–2 weeks each | Live API or dedicated parser |
| Additional email integrations | Playbook proven | 1–2 weeks each | Provider API |
| Meta Ads | Validated · in process | ~4 weeks | Certified technology partner |
| WhatsApp official | Validated · in process | ~4 weeks | Certified partner + communication interface |
| SMS / MMS · Google Ads | Partner route | ~4 weeks | Certified partners |
| Multi-organization workspaces | Built | In the app | Each client – or brand – fully isolated |
| Cross-brand portfolio view | Optional | 5–7 weeks | Scheduled by chosen priorities |
| Security & compliance review | Scheduled | Pre-onboarding | Dedicated specialist |
| Insights & Flowz engine | Roadmap · 2 tracks | Prioritized with partners | Algorithmic first, agentic after |
Timelines assume parallel execution – integrations, channels and product finishing proceed simultaneously; demos ship faster than production dates.
Production-grade platform approvals key off company formation – in progress.
Data core and dashboards live in production, connector playbook proven, activation channels validated and already in process.
Tech people ready to onboard the day it's GO – we accelerate past the pace that built everything you've just seen.
Choose the vertical, map each client's demands, assemble their bundle – the same playbook that put the current deployment live.
Decision Intelligence for the Experience Economy · Companion deck: product & vision
The stack
Every client – or brand – is its own isolated organization. Data never mixes between organizations, full stop.
A user belongs to specific organizations with a specific role. No organization, no data – the default is zero access, not full access.
Each organization holds its own integration credentials and sync schedule. One organization's hiccup never touches another's data or syncs.
A dedicated security pass over the whole stack – data rules, permissions, secrets – runs before enterprise onboarding, so isolation is proven, not promised.
Every client-facing channel runs on official platform APIs – no gray channels anywhere in the offering. Compliance is an architecture choice, not an afterthought.
Each client connects their own ad accounts and messaging numbers through permissions they can revoke. Assets, audiences and history always remain theirs.
Stage A runs on certified technology partners who already carry the heavy platform approvals, compressing time-to-market to weeks – while the client's assets and data stay in the client's hands throughout.