For partners, implementers, and resellers
How Vertiqa is deployed for client organizations — the configuration-not-customization model, the shadowed first implementation, and where to find the rest of the partner answers.
This section is for the people who stand up Vertiqa for someone else — implementation partners, systems integrators, and resellers configuring workspaces for client organizations. It answers the questions that come up in a partnership or evaluation conversation: what an implementation involves, what you can configure per client, how data is isolated and hosted, what integrates today, and how the AI is kept safe.
The articles here describe what is shipped today, not a roadmap. Where something isn't built yet, we say so plainly — an honest boundary is more useful to you than an optimistic one you'd have to walk back in front of a client.
The core principle: configuration, not customization
Every client gets the same product. You tailor it through configuration — settings, not code:
- Pipelines and stages, task statuses, and the entity vocabulary a vertical uses.
- Roles and permissions.
- Experience Modes for different user sophistication.
- Per-org branding on outbound email and booking pages.
- Feature flags that turn modules on or off for an organization.
What you don't get is per-client customization in the engineering sense: no bespoke database schema, no one-off workflow that needs code written for a single client, no forked build. That boundary is deliberate. It's what lets a small team go live in days rather than months, and it's what keeps every client on one well-tested, continuously updated platform instead of a pile of snowflakes.
When a client needs something outside that boundary, the answer isn't a custom build — it's either an existing configuration you haven't used yet, or a product request that, if it's broadly useful, ships to everyone.
The first implementation is shadowed
The first workspace you stand up, we do together — Vertiqa alongside you, so the pattern transfers. Treat it as enablement: by the end you've run a real implementation end to end and can lead the next one yourself. It isn't a gate you have to clear on every deal; it's how the playbook gets into your hands the first time.
Where to go next
- What a Vertiqa implementation involves — the concrete shape of a rollout and how long it takes.
- Client go-live checklist — what to tick off before you hand over the keys.
- What's configurable per client — the exact configuration surface and its boundary.
- Managing multiple client workspaces — one login across many client organizations, and its limits.
- Migrating a client onto Vertiqa — the import paths that exist today.
- Security and tenant isolation — how one client's data is kept separate, auth, and audit.
- Data ownership, hosting, and export — who owns the data, where it lives, and how to get it out.
- Platform, stack, and integrations — what's under the hood and what connects today.
- How Vertiqa's AI stays safe — approval gates, no autonomous sends, and model handling.