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From custom CRMs to real-time demand intelligence, AI tools are becoming central to modern sales performance and pipeline growth.

lt a system that allows us to do cold outreach, follow up on warm leads, and track where each contact is in the process of closing the deal, from discovery to live brief sent to proposal sent to closed won or closed loss.”

McIntosh emphasized the broader application of AI across industries:

“Across tons of spaces: construction, HVAC, dentist offices, law firms, and nutraceuticals, AI can really help create automations. There are operational gaps: lack of personnel, lack of bandwidth, tons of manual processes that we can help automate. The AI lens can really apply to a ton of different businesses.”

At the same time, he noted the importance of human connection in sales:

“In higher-end sales, that personal relationship is everything; businesses have been built on personal relationships. But I think done right, like anything, it is a good thing. And when you finally do follow up as a human, there is that warmth that you are kind of looking for.”

Visibility and Share of Voice as the New Sales Metric

While some companies are rebuilding CRMs, others are focusing on visibility across increasingly complex digital channels. At GrowByData, Managing Partner Prasanna Dhungel argues that most brands lack clarity on where they actually stand in the market.

The company’s Compass platform consolidates data from Google’s organic search, shopping ads, text ads, and AI platforms like ChatGPT and Perplexity into a unified dashboard. Instead of tracking isolated keywords, it analyzes entire product categories across thousands of search terms and local markets, down to the zip-code level.

Dhungel explained the concept of visibility in simple terms:

“Share of voice, visibility is like seeing the billboard when you are driving. If GrowByData never shows up in searches for search monitoring solutions, we are not in the purchase criteria. If we are really trying to push into hospitals in Phoenix, we better show up around the questions that people are asking in that space.”

Dhungel connected visibility directly to revenue outcomes:

“If I see your brand and it is rightly priced, and I see that it has great reviews, I am going to get a click, and that is a lead. Share of voice is the way that we report on brands visibility: is that rising or falling, who else is visible there.”AI tools are transforming how sales teams work. From generating leads and managing pipelines to targeting the right prospects at exactly the right moment, AI is streamlining tasks at every step. Businesses of all sizes are discovering that AI software does not just automate tasks; it creates competitive advantages by surfacing insights that traditional tools miss entirely. For companies looking to scale revenue without adding headcount, AI-powered sales platforms are becoming a necessity.

Building Custom Systems When Legacy Tools Fall Short

When legacy CRMs like Salesforce and HubSpot proved too rigid and expensive for their fast-moving startup, the team at DigitalTreehouse decided to build its own solution. VP of Strategic Accounts Mike McIntosh and his colleagues created Dragonfly,  a fully custom CRM. It was created over a single weekend using N8N, Supabase, and Claude.

The result is a single-dashboard system that manages the entire sales pipeline, from cold outreach through closed deals, giving leadership real-time visibility to mitigate risk and improve ROI. Beyond internal use, DigitalTreehouse now applies similar AI automation strategies for SMB clients across industries, addressing bandwidth constraints and manual workflow bottlenecks.

McIntosh explained the motivation behind the build:

“We were a small startup, so we were looking for something that could be customized, kind of two birds with one stone. I thought, I am going to build my own CRM. I basically asked Claude what I should do, and I used N8N and Supabase and Claude and Gmail and Slack and my calendar, and I bui

Looking ahead, he framed the platform’s evolution:

“We are evolving to be a demand intelligence platform. We are layering in additional signals so that we can surface where brand leaders are missing demand: here is where you are missing revenue, here is where the market is headed, here is how competition is adjusting their pricing and promos.”

AI-Powered Outreach Moves From Volume to Precision

In outbound sales, AI is shifting focus from mass outreach to signal-driven targeting. Reachly Founder Thibault Garcia has built his agency around identifying real-time buying signals such as hiring activity, funding rounds, and traffic spikes.

These signals help teams approach prospects with context rather than cold messaging.

“Doing outreach with signal helps you get better responses because now you are reaching out with a reason, and there is relevancy to the company. You can tie the signal to a pain point and say, since you are recruiting for sales, I am assuming you are trying to grow your pipeline and close more clients.”

Reachly also combines email and LinkedIn outreach to improve coverage, addressing gaps in traditional email-only strategies.

“A lot of agencies just do cold email and leave LinkedIn altogether, but the challenge with that is you will only find 60 to 70 percent of emails being valid and double-verified, so you are leaving 30 percent of your market out. Having LinkedIn and email allows you to get better coverage and make sure you do not really leave people out there.”

Garcia believes AI will continue expanding what outbound teams can deliver:

“How much better AI is becoming is going to allow us to do things that used to be extremely complicated. We are going to be able to deliver that and offer it to every single client we onboard, even for the people that come in on our smaller packages, bringing the best possible customized solution and build for our clients.”

The Shift Toward AI-Native Sales Infrastructure

Across automation, visibility, and outreach, AI is becoming embedded in the core architecture of sales operations. Companies like DigitalTreehouse, GrowByData, and Reachly illustrate how different parts of the sales funnel are being rebuilt around AI capabilities.

Today, organizations adopting AI-native sales systems are gaining sharper visibility, faster execution, and more precise targeting. Those still relying on traditional tools risk falling behind as the gap between AI-driven and conventional sales strategies widens.