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.

Topic

AI Sales Enablement

Sales enablement has always been a content and process problem. Reps don't have time to prep before calls. New hires take months to ramp because context lives in people's heads, not systems. Call notes never make it into the CRM because nobody has 20 minutes after every meeting to write them up.

AI solves all three - not by adding more tools to the stack, but by connecting the tools you already have. When your call intelligence, CRM, and calendar are wired together, a rep gets an automatic pre-call brief delivered to Slack 30 minutes before every meeting: deal stage, last call summary, open risks, attendee profiles, suggested questions. They walk into the call with better context than they'd have after 30 minutes of manual research.

New hires ramp faster because that same infrastructure means they can review any deal's full history in seconds, hear how your best reps handle objections, and get structured guidance on the accounts they're inheriting. And when the call ends, structured data - MEDDIC fields, next steps, risk signals - gets written back to HubSpot automatically instead of getting lost.

These guides cover the enablement use cases that actually move win rates: pre-call brief automation, AI note takers worth using, onboarding systems that compound rep knowledge instead of resetting it, and how to get Gong and HubSpot actually talking to each other.

AI Sales Enablement

Best AI Note Taker for Sales Calls in 2025

How to Connect Gong to HubSpot With AI (Beyond the Native Integration)

How to Deliver Automated Pre-Call Briefs to Reps

How to Cut New Rep Ramp Time With AI