Toward a touchless CRM

Toward a touchless CRM

Jamie Chen is the founding rev ops hire at Lovable, the platform that empowers anyone to turn ideas into real, working software by chatting with AI. Before him, there was no formal operations function. He was brought in to build B2B operations from 0 to 1.

Jamie spent five years at Miro and nearly a decade in sales ops, so he knew what good looked like. He also knew that when you're scaling one of the fastest-growing AI companies in the world, with deals moving fast, the last thing you want is reps spending hours on admin work in the CRM.

But that's exactly what was happening.

"At the time, there was just no good way to capture those insights systematically into our CRM or do analysis," Jamie explains.

What the old world looked like

Before Attention, there were fragmented systems. Team members used different note-taking tools, resulting in inconsistent formats, unstructured data, and no single source of truth.

The structural problem was linking. Connecting call insights to the right deals and companies was difficult, especially when deals got created after meetings had already happened. Maintaining a clear historical view of account context was hard when data lived across multiple systems, making handoffs between Sales and CS largely manual.

None of this was unusual. It's the default state for hypergrowth teams, but all that admin time meant less time selling.

The Vision

Jamie had a clear framework when evaluating tools. The goal was to build a touchless CRM experience where reps spend zero time on admin.

"Historically, there's a stat somewhere saying reps spend 40-50% of their time on admin, maybe even 50-plus percent. Only 20-30% is actually talking to customers. We want to change that. Bare minimum to zero admin time."

He wasn't going to ask reps to fill out 20 different fields before progressing a deal. He needed a way to collect the right information without manual entry.

What actually mattered

Democratizing enterprise customer insights for the entire company via Super Agent.

Automated CRM field population. AI that extracts pain points, next steps, use cases, and competitive intel and puts it where it belongs without anyone touching it.

Streamlined handoffs between AEs and the CS team. 

Intelligent meeting association. Calls linked to deals automatically.

What changed

Now, by the time a deal reaches the contract stage, 70-80% of the required fields are already filled.

"This is exactly what I want Attention to accomplish," Jamie says. "By the time I get here, 70-80% should be filled, right? The ideal experience I want is a touchless CRM."

Managers started noticing the difference. They're "impressed by the level of detail" extracted from calls. Multiple tools consolidated into one platform. The transcript download workflow? Gone.

The biggest unlock: Super Agent

A broad set of Lovable employees, including people who don't even record calls in Attention, now use the Super Agent channel in Slack every day. Product marketing queries it for messaging insights. Product managers ask about feature requests. The CRO checks in on enterprise deal context. CS pulls historical customer information before renewal conversations.

"Reps can easily know what's happening in a deal or company at any given moment. But not just reps. Product marketing, product teams, anyone interested in enterprise insights can self-serve by just prompting Super Agent."

Enterprise sales calls proved to be a gold mine of information that the entire company wanted access to. Super Agent, living directly inside Slack where everyone already works, became the unlock. No login required. No training needed. Just ask a question, get an insight.

That's the power of consolidating fragmented data into a single system: once it's unified, you can build intelligence on top of it that serves the entire organization, not just the people making the calls.

Working with the Attention team

Nick and Noah were highly responsive throughout the process. Jamie notes that Nick likely spent more time with them than he'd admit. The buying decision wasn't just about software.

"When we buy Attention, we don't just buy software. We buy correctly so everyone can get value. Nick definitely influenced our buying decision."

What Jamie would miss most if Attention disappeared

Super Agent, without question. With the unified data layer, you can consolidate fragmented transcripts and call data into one place, you can finally build intelligence on top of it. That's what makes Super Agent possible.

The ultimate vision is a "future command center" for sales and success teams. A way to prioritize their day, surface the right next actions, and display insights in an organized way. Attention is foundational to making that happen.

What’s next

Lovable isn't stopping at admin reduction. The next phase is strategic intelligence.

"The next iteration I want to do is, how do we make our team smarter? What companies, what people to go after, how do you move deals faster? How do we acquire revenue faster?"

Jamie wants to use Attention to analyze win/loss patterns, surface buying indicators and risk factors, and guide strategic decisions. 

The bottom line

Lovable moved from fragmented call recordings across multiple tools to a unified system, achieving 70-80% automated field population by contract stage. The admin burden dropped. The data quality improved. That's the real unlock: consolidate the data, and the whole organization benefits.

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