Product
Agents that know your customers better than you do
They've seen every deal, every objection, every conversation across your entire team. Not just yours.
Customer Memory
The longer you use it, the better it knows your business
Built from every call, email, and thread your team has ever had. Automatically, without anyone logging anything.
Built from what actually happened
CRM makes you define structure before you capture anything. Day AI captures first, structures later. Add a property today and it fills itself in retroactively across every call and email you've ever had. Agents don't work from what got manually logged. They work from what actually happened.
“Based on everything you just said, I don't see any reason I should ever go to any CRM.”

It bends to your business, not the other way around
Most CRMs give you fields and make you fit into them. Day AI builds the structure around how you actually think. Describe your sales methodology, your segments, your criteria in plain English. Your agents work from context that's specific to your business, not a template someone else designed.
“I explained our MEDDIC framework in plain English. My Day AI agent had the whole system running in ten minutes.”

Your pipeline updates itself
Describe your stages, your criteria, what moves a deal forward. Day AI listens to every conversation and updates your pipeline from that point on. No logging. No stale data. Your pipeline reflects what's actually happening.
“If I had to explain why we chose Day AI over HubSpot, it's because we can prioritize all our deals effectively without requiring reps to constantly update tons of information.”

Your entire customer history, answerable in plain English
Why did that deal go quiet? What's blocking the pipeline? Which accounts haven't heard from you in 60 days? Type any question and Day AI searches every call, email, and deal you've ever had to find the answer. No tagging. No structure required.
“It's like vibe coding a CRM that actually works. It makes me feel like I'm in complete control.”

Every answer has a source
Day AI shows you which call, which email, which moment produced each insight. Ask an agent why it flagged an account and it shows you the evidence. You can trace any answer to the exact conversation that created it.
“It's super cool that it linked to video sources where the customer was talking about the feature request.”

Agents
Agents with jobs, not prompts
Each agent has a standing role: a defined job, a persistent context, and full access to everything your team knows about every customer.
Describe the role once and your agent owns it every day
Describe the job the way you'd explain it to a new hire. That becomes the agent's permanent context: the lens it applies to every task, every account, every morning. You never have to re-brief it. It already knows.
Acts without being briefed
Your agent knows your product, your process, and your customers. It doesn't just help. It acts. No hunting for context. No switching between tools. Give it a task and it operates with the judgment of someone who's been here from day one.
“I'm realizing now that you are consolidating three or four workflows I do that have me popping in and out of Claude and spreadsheets and my email.”

Every new agent draws from the same customer memory
A founder running sales, CS, and product often ends up with three agents, each with its own job. The sales agent has already reviewed the pipeline before you sit down. The CS agent surfaces at-risk accounts before they go quiet. The product agent pulls out what customers keep asking for, across every conversation.
“It's like building a second brain for the RevOps organization.”
Skills & Automation
Work that runs before you remember to ask for it
It's not about pulling information together so you can act. It's about acting on it.
Write the process once and your agent runs it on repeat
Write out a process the way you'd explain it to a new hire: review the pipeline, flag at-risk accounts, draft follow-up outreach. Your agent runs it on a schedule, triggered by an event, or on demand. When it doesn't run right, you tell it. No settings panel. No developer.
“Wait... so I can talk to my agent in a Slack channel and say "share the onboarding template for our team" and it would fill it out and share it in that channel?”

Already working before you open your laptop
Your agent pulls from your recordings, emails, and customer memory. It understands the full context and takes the right next step without being asked. Every action is transparent: the reasoning, the sources, the evidence. You review the output, not the inputs.
“My Day AI agent reminded me about a prospect since it had been 9 days since our demo. I followed up and now the deal is advancing. I wouldn't have followed up today if I hadn't received the nudge, because it had been buried in my deal pipeline. This is what I was hoping for!”

Closes deals you would have forgotten
Your agent doesn't just flag quiet deals. It drafts the re-engagement and queues it for review. You define the conditions once and the right work surfaces automatically.
“I love Day AI. I can count at least 10+ times where it's sent me reminders in Slack to chase a lead I would've forgotten about and would not have closed without them.”

What becomes possible
The business stops running on any one person's memory or availability
Day 1
Your new hire sits down and their agent is already working. The full history of every customer relationship is already there. You didn't brief them. There was nothing to transfer.
Every Monday
Your best rep walks in and their pipeline has already been reviewed. The deals that went quiet got re-engaged. The coaching from last week's calls is already in their inbox. They didn't ask for any of it.
Before it becomes a problem
A customer starts showing signs of risk. You find out before they know it themselves. An outreach is already drafted and waiting. Nobody had to ask.
Day AI MCP Server
Connect Claude to your customer memory
Day AI runs an MCP server. Connect it to Claude and every conversation starts with your customer memory already loaded: your pipeline, your accounts, your call history. No pasting context or switching tabs.
“Day AI + Claude MCP transformed our workflow at Superunit. Instant GTM context across our tools has eliminated bottlenecks across our entire sales and support operation.”

Integrations
Every tool your team already uses feeds the same customer memory
Your email, calendar, calls, and Slack are where customer relationships actually live. Day AI reads all of it from day one. No logging. No manual entry.
Google Workspace
Connect your email and calendar and Day AI starts building customer memory from day one. Every thread, every meeting, every reply.
Zoom
Never take notes on a video call again. Day AI records and transcribes every Zoom call, then updates customer memory based on what was said. Show up present. Nothing gets missed.
Gong
Every Gong call flows into the same customer memory your agents draw from. What was said, who said it, what changed. No separate review required.
Slack
Your agent is already in Slack. Ask about a customer, drop a note from a call, get your morning briefing. All without leaving where your team already works.
MCP Servers
Day AI runs an MCP server. Connect Claude, Cursor, or any AI agent and every conversation starts with your customer memory already loaded.
See the MCP documentationZapier
Connect any tool to the same customer memory. Pull in Stripe data, billing records, or custom webhooks. No code required.
Your agents are ready when you are
The full history of your customer relationships goes in on day one. Your agent starts working before you open your laptop.
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