What AI tools do you use?

We build on top of the tools you already have - HubSpot, Salesforce, n8n, Make - and layer in AI from OpenAI, Anthropic, and others where it makes sense. No proprietary platform, no new vendor to manage.

Is this actual AI or just rule-based automation?

Both, depending on the job. Simple routing and alerts are rule-based - that's the right tool for that. Scoring, summarization, intent detection, and research use real LLMs. We match the approach to the problem.

Do I need to replace my CRM?

No. We build on top of what you have. Whether that's HubSpot, Salesforce, or something else, we connect to it - we don't replace it.

Do I need a technical team to manage this?

No. The automations run on their own. We build it, hand it off, and your team uses the outputs - alerts, scores, summaries - without touching the infrastructure.

How do you handle our data?

Your data stays in your stack. We don't store it, sell it, or route it through proprietary systems. The pipelines we build connect your existing tools directly.

What does onboarding actually look like?

A 30-minute discovery call, then we scope the work and send a proposal. Once you're in, we go heads-down - no lengthy kickoffs or status meetings. You see working software fast.

What if the AI gets it wrong?

It will sometimes, especially early. That's why we build human review steps where it matters and tune based on your data. Accuracy improves over time - it's not set-and-forget.

How is this different from HubSpot's or Salesforce's native AI?

Native AI works within the walls of that one tool. We connect your entire stack and build logic that runs across it - enrichment, scoring, alerts, and summaries that pull from multiple sources and trigger actions anywhere.

Notion AI vs ChatGPT for Sales Teams: What's Actually Worth Using

Notion AI and ChatGPT are both AI assistants, but the comparison only makes sense in a specific context: your sales team is trying to figure out which one to actually use for day-to-day work. Here’s the honest breakdown.

What Notion AI does well

Notion AI is embedded directly in your workspace. If your team already runs playbooks, battle cards, call notes, and deal summaries in Notion, Notion AI can read that context and work with it. You can ask it to summarize a page, fill in a template, generate a first draft from bullet points, or pull information across your workspace.

The killer use case is anything that lives in Notion already. If your onboarding docs, competitor research, and ICP documentation are in Notion, Notion AI can synthesize them without you copying and pasting into a chat window. That friction reduction is real.

It also means your whole team is working with the same AI context. A rep can ask Notion AI to summarize your competitor positioning and get the answer from your actual internal docs - not a generic internet response.

What ChatGPT does well

ChatGPT is more capable as a general-purpose reasoning tool. It’s better at complex writing tasks, handles longer prompts more reliably, and has a plugin ecosystem that can connect to external tools. For ad-hoc tasks - write me an email for this situation, help me think through this objection, draft a QBR slide - ChatGPT is more flexible.

It’s also what most of your reps are already using personally. The learning curve is near zero.

The gap is context. Every ChatGPT session starts fresh. Your reps are copying deal details, account history, and product specs into the chat window every time, which is friction that adds up and introduces inconsistency.

Where both fall short for sales teams

Neither Notion AI nor ChatGPT is a sales operations tool. They don’t connect to your CRM. They don’t trigger on pipeline events. They don’t write structured data back to HubSpot when a call ends. They’re chat interfaces that help individuals with writing and thinking - which is valuable, but limited.

The teams that get the most out of AI in sales aren’t the ones with the best chat interface. They’re the ones that have connected their AI model to their actual stack - so it reads CRM data, call transcripts, and calendar context automatically, and writes back structured output without a human copy-pasting in between.

Which one to use

Use Notion AI if your team already lives in Notion and you want AI that works with your existing internal knowledge base. The context advantage is real and underrated.

Use ChatGPT if your team needs a general-purpose assistant for ad-hoc writing and thinking and doesn’t have a centralized knowledge base to work from.

The more important decision is what comes after the chat interface. Once your team has used Notion AI or ChatGPT for a few months, the next question is: what workflows are repetitive enough to automate entirely? That’s where you move from AI as a chat assistant to AI as an agent. That’s where AI starts doing operational work instead of just answering questions.