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 Lead Management

Most lead management runs on gut feel and round-robin luck. The rep who happened to be next in the rotation gets the enterprise lead. A contact with perfect fit gets the same follow-up cadence as someone who clicked an ad by accident. The data to make better decisions is already in your CRM - it's just not being used.

AI lead management changes the inputs, not just the outputs. When your CRM is connected to the right intelligence layer, leads get scored against real closed-won patterns from your own history, routed to the right rep based on fit and current capacity, and qualified through frameworks like MEDDIC without anyone manually filling in fields after a call.

The practical result: reps spend their time on leads that are actually worth their attention. Managers stop having to manually redistribute misrouted leads. And the enrichment data that used to require 10 minutes of Googling per contact gets written to your CRM automatically the moment a new lead comes in.

These guides cover how to build that infrastructure - from AI lead scoring in HubSpot to intelligent routing that replaces round-robin to automated qualification workflows that keep your CRM clean without anyone policing it.

AI Lead Management

Clay vs Apollo for Prospecting: Which One Should You Use?

How to Replace Round-Robin Lead Routing With AI

How to Automate MEDDIC Qualification With AI Agents

How to Fix CRM Data Quality With AI

How to Do AI Lead Scoring in HubSpot