Account Continuity AI is the institutional memory layer for enterprise sales and customer teams. Always current, always complete, surviving every transition.
Every customer conversation depends on context, what was promised on the last call, who the economic buyer is, why a deal stalled in March, what the CSM heard on the QBR, what the support team is hearing in tickets right now.
Most of that context is locked inside the head of one person. When that person leaves, or just gets busy, or just doesn't share, the next person walks in blind. The customer notices. They re-explain themselves. They lose confidence. Sometimes they leave.
The tools enterprise teams use weren't built to fix this. Gong captures individual calls. Salesforce stores what reps bothered to type. Email lives in inboxes. Support tickets live in another system entirely. Nobody is stitching them together into a coherent account narrative, which means the synthesis falls on whoever is about to walk into the next conversation, with no time to do it well.
For a 200–500 named-account business, this isn't an edge case. It's a daily reality. And it's a renewal risk every single time.
Account Continuity AI sits on top of the tools your team already uses, Salesforce, Gmail, Outlook, Gong, and continuously synthesizes everything into a living context document for every account. The right context, in the right place, at the right moment.
A living portfolio across every account on every rep's book. Health signal with the why one click away. Proactive flags surfacing the accounts that need a conversation this week. 1:1 prep that walks in already done.
Pre-call brief before every conversation. Post-call summary that writes commitments and tasks back into Salesforce automatically. The institutional memory of every prior rep, queryable instantly.
Last call (Mar 14): committed to a Q2 pilot of the analytics module. Decision pending budget review.
Sarah replaced Tom Ríos in February. Tom was the original champion; re-establish the relationship.
Support flagged 3 tickets last week on SSO. Engineering ETA is next Tuesday, bring it up before she does.
When a ticket lands on a support rep's queue, they shouldn't have to dig through five systems to understand who they're about to email. They already see: this is the customer's 15th ticket this quarter, renewal is in 47 days, the AE flagged a competitive threat last month, and the last QBR called out the same product gap. The context arrives with the work, before the reply gets drafted, before the call gets dialed.
Why this. The existing tools weren't designed for cross-channel, cross-team synthesis over time. Gong does calls beautifully. Salesforce does logged data. Neither tells you what was promised three reps ago, what the CSM is worried about right now, or what the relationship feels like across every channel it lives on. Account Continuity AI is the layer that does.
Context shouldn't require people to go find it. It should find them at the moment they're about to talk to the customer, in the tool they already work in.
Why now. Continuous AI synthesis of an entire account book used to be economically unthinkable. In 2026, it isn't. The infrastructure costs finally make this viable for a 200–500 account business, and the teams that adopt early build a compounding context advantage their competitors can't replicate after the fact.
We're not competing with Salesforce. We're completing it.
Customer success and support integrations expanding through 2026.
Account Continuity AI is built by Patrick Phillips. Eighteen years in enterprise product, sales, and HR tech, SVP Product at CareerBuilder, Senior Director at Upwork Enterprise, VP Ecommerce at Hootsuite, founder of EverTesting AI. A career across the table from VP RevOps and Heads of Revenue Operations at Fortune 500 companies, watching account context get destroyed by turnover, handoffs, and tool fragmentation at every one of them.
The existing tools should already be solving this. They aren't. So we're building it.
If account context, rep transitions, or renewal risk is something you think about, let's talk. Early access partners get hands-on input into the product, priority onboarding, and pricing locked in for the duration of the partnership.