From a static marketing site to a multi-tenant CRM with an AI agent and a sequence engine that can't be abused.
Where it started
Outbound tools get sales teams blacklisted.
The build
- Sequence Intelligence: nine layers (timing, deliverability, personalisation, intent, conversation, fatigue, conflict resolution, outcome, governance) under a Guardrail
- Sequence Risk Score with healthy/elevated/risky/dangerous bands; dispatcher enforces min(daily cap, guardrail cap)
- AI assistant upgraded from command bar to agent runtime: plan → confirm → execute → independent verifier
- Multi-mailbox rotation, recipient-local send windows, advisory-lock dispatcher with SKIP LOCKED
- Razorpay billing with webhook-replay and signature fixes; partner program and portal
- Hardening: request-log redaction, SSRF-guarded fetch, CSV formula-injection guard, hashed tokens
Where it is now
324/324 pages and 73/73 browser tests clean
Owner-side QA agents (sentinel, vera-eval, testkit) running nightly
Positioned as 'outbound that cannot get you blacklisted' with agencies and affiliates as channels
Quotarider Case Study: Multi-Tenant CRM and AI Agent FAQs
How do you build a multi-tenant CRM with an AI agent?
A multi-tenant CRM with an AI agent is built on a shared application with strict per-workspace isolation, a job queue for sending and an agent runtime that plans, confirms, executes and verifies. In Quotarider, XDQ Labs used Node.js, TypeScript and PostgreSQL, with workspace-scoped data, a queued dispatcher, billing webhooks and an agent that drafts replies and pauses sequences. A similar custom CRM for a client typically takes eight to sixteen weeks and sits in the USD 20,000 to 50,000 band.
How can an outbound email tool avoid getting a domain blacklisted?
An outbound tool avoids blacklisting by enforcing sending limits in code that users cannot override, and by pausing sequences when reputation signals turn risky. Quotarider scores every send across timing, deliverability, personalisation, fatigue and compliance, then applies the lower of the daily cap and the guardrail cap. It rotates across mailboxes and sends in the recipient's local business hours. XDQ Labs can add the same deliverability governor to your existing sales stack in two to four weeks.
What is a sequence engine and why does it need a guardrail?
A sequence engine is the scheduler that sends multi-step outreach, such as emails and calls, to prospects over days or weeks. It needs a guardrail because a misconfigured sequence or an over-eager agent can send too much, too fast, and damage the sender's domain. In Quotarider, the guardrail returns a verdict of send, delay, skip, pause or escalate for every message, and no cap setting can bypass it. Each decision is written to an audit ledger for review.
What security issues were fixed in the Quotarider build?
The Quotarider build closed several common SaaS security issues before release. XDQ Labs added request-log redaction, an SSRF-guarded fetch, a CSV formula-injection guard, token hashing, billing webhook signature checks and replay protection. A send-cap that could be raised past safe limits was moved behind a guardrail that cannot be overridden. Each fix was verified by rescans and browser tests. The same security pass is included in every client build, rather than sold as a separate audit.
Can Quotarider be deployed for my sales team instead of a custom build?
Yes, Quotarider can be deployed for your sales team as a configured product, which is faster than a custom build. XDQ Labs sets up workspaces, mailboxes, sequences, pipeline stages and billing, adds your integrations and trains the team. A standard deployment usually takes two to four weeks and starts in the USD 1,000 to 5,000 band, rising with integrations and seats. Partner and white-label terms are available for agencies and resellers in the US, UK, UAE and India.
From USD 49 or INR 2,999 a month. A person approves every step.