A dozen inboxes, a dozen chat accounts, and a customer who arrives as a stranger every time. BrainDesk unifies every channel across every product into one prioritised queue — and drafts every reply with full customer context and transparent AI.
Every product you run has its own chat account and its own inbox — dozens of separate touchpoints for a small team to watch at once. The result is slow, generic, uninformed replies; tickets that never get resolved; and customers who dispute a charge rather than wait for help.
A customer who owns three of your apps shows up as three different people in three different inboxes. Agents answer from ticket text alone, with no view of what the customer actually owns, pays, or has already asked. Nothing surfaces the patterns. Nothing holds the process together.
BrainDesk ingests email and chat from all your products into a single inbox sorted by SLA-breach risk, then attaches each customer's complete cross-product identity — every app owned, every activity signal, every Stripe payment and refund — pulled live. Support, customer intelligence, and product feedback finally live in one place.
Every ticket opens with full context pulled live from your own databases and Stripe accounts: every app the customer owns, their activity, their lifetime spend, and their full refund history. Identity is matched across all products by email, so one person is one profile — not three strangers in three inboxes.
Instead of one opaque AI output, BrainDesk runs a configurable multi-agent pipeline (built on LangGraph) that shows its full reasoning trace, a confidence score, and uncertainty flags on specific claims. Reviewers can actually evaluate a draft instead of rubber-stamping it — and the pipeline is reconfigurable from the UI without redeploying.
Built on the assumption that support quality erodes without enforcement. SLA breach alerts, immutable activity logs, a mandatory resolution-note gate, rubber-stamp detection, and automatic escalation are core features — not reporting add-ons. Correct behaviour is easier than cutting corners.
Email and chat from every product in one prioritised, real-time queue (list or kanban), sorted by SLA-breach risk.
A lightweight per-product widget that binds logged-in customer identity automatically and flows into the same inbox.
Every app owned, subscription status, activity, full Stripe spend and refund history, cross-product ticket history, and a live churn-risk score.
Reasoning trace, confidence scoring, uncertainty flags, auto-categorisation, and knowledge retrieval from resolved tickets and your codebase.
Automatic language detection, stored English translations, and native-language drafts (Portuguese and Spanish first-class).
SLA countdowns and alerts, mandatory resolution gate, rubber-stamp detection, and immutable logging.
One-click, in-app escalation with full context and an AI-recommended mitigation-first or direct-refund path — replacing the spreadsheet.
Super Admin, Support Lead, and Agent roles enforced server-side.
Push summaries and real-time alerts so leadership has full clarity without logging in.
Recurring ticket themes and feature requests surfaced automatically.
Link each product's Gmail (OAuth), embed the chat widget, and connect your databases and Stripe accounts. New products register dynamically — no code changes.
Every incoming ticket runs the pipeline: language detection, customer context, knowledge retrieval, and a draft with a visible reasoning trace and confidence score.
Approve, edit, or reject with full reasoning in view; every action is logged immutably.
SLA timers, breach alerts, rubber-stamp detection, and mandatory resolution notes keep quality high automatically.
Daily summaries and instant alerts surface problems before they become refunds.
Full clarity on support health across every product without living in the tool; daily summaries and emergency-only alerts.
One prioritised queue across all products, transparent AI drafts to approve, and data to hold a team accountable.
Only the right tickets, an AI draft ready on every one, and no way to quietly cherry-pick.
Refund escalations with full context in one view, and automatic alerts when support degrades.
These are the platform's target outcomes from the product spec — presented as goals and benchmarks. Replace with verified customer results before launch.
We only claim certifications and compliance we actually hold. GDPR data export and deletion are on the roadmap, per the product spec.
Read the security overview →HTTPS everywhere; passwords hashed with bcrypt; encrypted OAuth tokens and database credentials.
Role-based access enforced server-side on every request — not just in the UI.
99.5% uptime target, automated daily backups, and error monitoring from day one.
Graceful degradation — if one product's database is unreachable, the rest of the platform keeps running.
