Casca Builds Pipeline with Reevo After Going Stackless
See why Casca COO & CRO Adlon Adams refused to hire a data janitor to manage the sales stack, and how the AI lending platform uses Reevo to generate revenue.
When Adlon Adams joined Casca to lead revenue and operations, she walked into the startup cliché.
Casca, an AI lending platform for business loans, had a lean, five-person founding team. The sales stack looked like this: HubSpot for a CRM. Fireflies for recording calls and taking notes. Gmail for outreach.
If an account executive wanted to know what happened on a demo from three months ago, they couldn’t just check the CRM.
They had to dig through a founder’s inbox, cross-reference it with a call recording in another tab, and hope someone manually updated the pipeline stage.
This was a scavenger hunt disguised as a sales process.
Adlon is a GTM leader with over a decade of sales leadership experience, so the chaos triggered immediate red flags.
Selling to FDIC-insured banks and other lenders isn’t a transactional game. It’s a grueling, complex journey because sales cycles don’t take weeks. Deals can take over 18 months to close.
If you lose any amount of context during a sales cycle, you lose the deal.
Never Hire a Data Janitor
Adlon lived through the nightmare of a bloated sales stack before.
In a previous role, she was forced to rely on the standard playbook.
That meant using Salesforce as the foundation and then adding Gong for calls, Apollo for data, and Outreach for sequencing.
The disconnect between these point solutions to communicate was high. As a non-technical leader, Adlon found the architecture so complex that she had no choice but to hire a dedicated RevOps manager.
But that person wasn’t a revenue architect. They were a data janitor.
Their entire job was babysitting Zapier connections, fixing broken API keys, and cleaning up duplicated records. They spent over 40 hours a week sweeping up after bad software.
“You sign up for three different systems, try to force them to talk to each other, and you end up stuck,” she says.
A Stackless Epiphany
Through Khosla Ventures, Casca discovered Reevo.
The appeal wasn’t just better features. It was the architecture to go stackless.
Adlon realized she didn’t need to assemble a CRM and tools for prospecting, outreach, scheduling, and meeting intelligence. She needed one platform.
By adopting Reeevo, Casca went stackless.
Adlon configured a workspace that included a phone dialer, email sequencer, call recordings, sentiment analysis, and pipeline management, all without hiring a RevOps specialist or writing a line of code.
“Reevo makes my life a thousand times easier,” Adlon notes. “As a non-technical person, I set up our entire CRM and trained all of our salespeople without any outside help. That was a huge unlock. I finally felt sufficient in my own tool.”
One Platform. Zero Context Lost.
With the architecture fixed, the impact on the sales team was immediate.
Over an 8-month sales cycle, a single deal requires coordination across account executives, deployment strategists, solutions architects, and forward-deployed engineers. Teams constantly run technical evaluations and strategic sessions with different stakeholders at a bank.
In a legacy CRM, this handoff was where deals died. The engineer walking into a technical RFP session rarely had the full context of what the AE discussed with the bank’s executive sponsor six months ago.
Reevo eliminated this information gap.
The AI-native platform provides Casca’s entire organization with a centralized, high-fidelity source of truth.
Whether it’s Adlon running a pipeline review meeting or a solutions architect preparing for a deep-dive technical call, everyone sees the full context.
They can instantly review call sentiments. They can track the progression of specific pain points. They can understand exactly how different stakeholders are feeling without ever having to ask the AE for a debrief.
“Every single person involved in the sales cycle lives inside Reevo,” Adlon explains. “I can’t imagine scaling Casca without it.”
Goodbye, Admin Work
The most profound shift for Casca’s GTM team hasn’t been better visibility alone. It’s the return of their time.
In the past, Adlon and other team members spent hours acting as their own data janitors: manually aggregating lists, reviewing old notes, logging calls, and drafting emails.
Casca now turns things over to Reevo’s AI to handle all that work autonomously.
The AI listens to calls, identifies action items, and instantly generates customized follow-up emails based on the nuances and sentiments of each meeting.
“Reevo has allowed us to focus on the human element of sales because it removes the robotic element,” Adlon says. “Now I can actually sit down with my team and focus on the call, instead of wasting time gathering the data.”
Casca’s daily operations rely so heavily on the platform that “Reevo” is now used as a verb across the organization. Team members regularly ask each other, “Did you Reevo it?” or “Can you send me the Reevo?”
An End of the Sales Stack: Going Stackless
Casca is growing rapidly, on pace to become the default AI-native loan origination system in business lending. And they’re building their entire GTM foundation with Reevo.
For Adlon, the experience has solidified this about the sales stack: It’s broken, which explains why revenue is going stackless.
You can’t bolt AI onto an architecture built 20 years ago and expect it to drive efficiency, and you can’t ask your most strategic revenue leaders to spend their week cleaning CSV files.
“If you’re a new startup looking to build out your sales stack for the first time, look for a platform that has everything in one place. That’s Reevo,” Adlon says.
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