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Some of what you’ll get...An in-depth audit of your current system, processes, support infrastructure.A “Deflection Map” showing which tickets can be automated vs. which need human support (Week 1)Insight into where your current support process is leaking time, money, and customer trustPriority areas to automate first for the biggest impact (based on volume + ease)
✅ Delivered as a Notion dashboard + Loom walkthrough
We design a tone-matched AI agent trained on your support docs, chat logs, and product FAQsCustom fallback rules, escalation logic, and intent routing setupPre-launch testing in a sandbox environment using real sample queriesFull knowledgebase ingestion and smart context handling
✅ Delivered as Intercom Fin or custom OpenAI-based/Voiceflow agent (your stack, your tone)
We hook directly into your Intercom workspace and deploy the AI agentSeamless routing to your support team for edge cases or unhandled questionsDynamic message flows for onboarding, common queries, and feature explanationResponse timing & feedback loop setup for ongoing learning
✅ Delivered with Intercom inbox + bot rules + analytics setup
Review + fine-tuning based on new features, edge cases, and ticket driftInternal training for your team on how to improve prompts, knowledgebase, and tone
✅ Delivered via Slack updates + support call + analytics dashboard (if applicable)
Not at all. It augments your team by removing the repetitive stuff — freeing your human agents to focus on high-value conversations, escalations, and customer retention.
It depends on your setup. For most clients, we start with repetitive, high-frequency tickets (FAQs, onboarding, pricing, bugs, etc.), but we can also train the agent on technical edge cases using product documentation and historical chat logs.
Technically? Sure. But the real problem isn’t just integrating GPT.
It’s training the agent to sound like your brand, mapping edge cases and fallback logic, designing workflows across support, sales, and ops, maintaining + improving it post-launch.
Your team’s focused on shipping features — we obsess over AI support quality. That’s why we get it done in weeks, not quarters.
Yes — we build fallback flows and intent detection into the system. If the bot’s confidence is low or the topic is sensitive/complex, it will automatically escalate to a human agent. You stay in control.
We also monitor post-launch performance, and give your team training to override and edit (if you want it). You’ll never be locked into a “black box bot” you can’t control.
Very little. We handle the heavy lifting. You just give us access to past tickets, help docs, and your support tone. We handle the rest — from design to deployment and optimization.
We train the AI on your actual chat transcripts, knowledge base, product docs, and tone of voice. Our goal isn’t just to automate — it’s to make the experience feel like a real rep who knows your product inside out.t.
Great — you’ve already taken step one. But most Intercom setups are: Rule-based flows with rigid paths, Poorly trained on product specifics and Confusing or dead-ended for users.
We replace flow-builder spaghetti with AI that understands natural language, handles ambiguity, and can escalate properly.
You keep using Intercom — we just make it way smarter.
