Caio, the CEO of Arrow Digital, was about to invest months of engineering time building an in-house RAG chatbot. His fully remote dev team in Brazil had critical knowledge scattered across Slack, Jira, and GitHub. Finding anything meant scrolling through endless threads, and junior developers constantly got blocked waiting for answers.

Then he discovered Grapevine and realized he didn't need to build anything.

After 30 minutes of setup, Caio saw immediate results. He asked Grapevine about a project, and it answered with the correct code and a clickable citation. It worked perfectly out of the box.

"The first time Grapevine answered a technical question correctly and cited the actual code, I thought 'okay, we don't need to build this.' It was doing exactly what we'd planned to spend months developing."
Caio, CEO of Arrow Digital

The Knowledge Management Problem: Critical Context Trapped in Slack

Arrow Digital is a fully remote IT consulting and software development company based in Florianopolis, Santa Catarina, Brazil. Like many fast-moving dev teams, Arrow's engineers made technical decisions on the fly every day. 

"There's a lot of information that gets put in Slack and never gets turned into documentation," Caio explains. Discussions about code architecture, bug fixes, credentials, and deployment processes all lived in threads.

The problems were obvious: 

• Junior developers got stuck. They'd wait for a senior engineer to free up or waste time searching in all the wrong threads.

• Senior engineers got interrupted constantly. They’d get tagged in Slack to answer the same questions over and over, pulling them out of deep work. 

• Critical context lived in certain people's heads. Even if one engineer was free, they might not know the relevant codebase or remember that ancient Slack thread. Devs often had to wait for the one specific person with the answer.

Caio’s original idea was to build a custom RAG chatbot. He was planning to use n8n and OpenAI to connect their Slack conversations, GitHub repositories, Jira tickets, and Confluence pages. 

He was confident it could work, but not confident it was the right investment. "Even if we'd built something that worked, we'd own it forever,” Caio explained. “Every time Slack updates their API or we want to connect a new tool, that's more engineering time. With Grapevine, those integrations just work. And they keep getting better without us doing anything."

The Solution: Deploy Grapevine in 30 Minutes

Caio connected Grapevine to Arrow's Slack, GitHub, Jira, and Confluence. He set up the Slackbot (named Arrow Digital AI) and enabled proactive responses in their project channels. The whole setup took 30 minutes. 

After the Slackbot was ready, Caio mentioned it once in Arrow’s daily standup. That was it; no formal training, no documentation. The team learned by watching Grapevine work, and trust developed organically.

• Developers saw it reply with accurate answers and citations to actual GitHub PRs and Slack threads.

• The confidence scores helped the team evaluate when to trust the information vs. verify it.

• The bot's selectivity built credibility. Grapevine doesn't always proactively answer, and in Caio’s opinion, that restraint matters.

"The first time Grapevine answered correctly, people thought 'okay, interesting.' The second time, they thought 'maybe this is useful.' By the fifth or sixth time, they just started treating it like a reliable teammate. It proved itself through repetition."
Caio, CEO of Arrow Digital

Three Ways Grapevine Unblocked Arrow's Developers

1. Debugging Client Issues Without a Senior Dev

A client reported duplicate medical documents appearing in the system. He posted in a shared Slack channel asking if there were errors.

Grapevine jumped in automatically, citing the Lambda stacktrace error, finding related HubSpot logs, and providing context about when this issue occurs. A junior developer followed Grapevine's guidance. He was able to find the logs and debug the issue without waiting for a senior engineer.

2. Infrastructure Setup No One Had Done Before

A back-end developer asked about configuring SSL certificates with automatic renewal. Arrow was moving an endpoint away from CloudFlare due to file size limitations, and the developer had never set up this specific configuration.

Grapevine provided the exact commands. It explained the DNS setup, and even included troubleshooting steps. It was like having a senior engineer on call. 

The instructions didn't solve everything (there was an unrelated issue they had to debug separately) but Grapevine gave them a starting point. Instead of spending an hour digging through documentation or waiting for someone with DevOps experience, they had clear next steps in minutes.

3. Answering Questions While Managers Are in Meetings

Caio assigned a landing page project to a front-end developer. After sending the instructions, Caio jumped into a meeting. The developer was ready to start working on it, but had a follow-up question. Normally, that meant he’d be blocked until Caio left the meeting (35 minutes later). 

Instead, Grapevine jumped in immediately, pulling from previous messages to explain what should be included in the mockup and referencing design guidelines from past conversations.

"Before, my front-end developer would’ve waited 35 minutes for me to reply after a meeting wrapped up.” Caio explains, “Instead, Grapevine immediately answered him. By the time I was out of the meeting, he was halfway done.” 

What Makes Grapevine Different from Other AI Tools

These examples show the same pattern: developers getting unblocked without waiting for the right person to become available. But what makes Grapevine actually work where other AI tools fall short?

“The biggest advantage is that Grapevine unblocks the team with answers based on our real company context. The references to actual code or Slack conversations really help developers move forward quickly. The team’s productivity has increased significantly since we deployed Grapevine.”
Caio, CEO of Arrow Digital

Grapevine does exactly what Caio wanted to build in-house, and more: 

• Cross-platform context. It pulls from Slack, GitHub, Jira, and Confluence simultaneously, so when developers ask questions, they get answers that reference everything relevant across tools, not just a single isolated source. 

• Proactive responses. Engineers get unblocked without even tagging Grapevine. It jumps in when it can, and in Caio’s opinion, “Grapevine contributes a lot.”

• Source citations & confidence scores. Every answer links to specific files, messages, or tickets, and shows a confidence level (85%, 90%, etc.). Developers know when to verify versus when to trust and move forward.

• Works in Portuguese. They don’t have to switch out of their natural language. It works out of the box where they’re already talking (Slack). 

The best part is that they didn’t have to build it, and don’t have to maintain it. Grapevine was a faster, more sustainable solution for their dev team so they can focus on their clients instead of internal tooling. 

Stop Scrolling Through Slack for Answers

You don't need to build a custom RAG chatbot to unlock the knowledge trapped in your docs, code, and chat. Arrow Digital solved this in 30 minutes without building anything in-house.

See how Grapevine can help your team:

• Reduce interruptions for senior engineers

• Turn conversations into documentation

• Find answers in Slack faster

• Unblock junior devs

Start your free trial or chat with our team to see Grapevine in action.