Manage and match customer references at scale
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Set up automated referral programs
Capture proof from conversations with AI
Turn loyal customers into brand champions
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AI-native journeys that accelerate time-to-value
Success plans and next-best actions
Streamline the creation of any customer facing document

Start customer success renewals six months before the date, not 60 days. Your buyer may already have your seat count. Run four checkpoints: usage at six months, the value case at four, the signer at three and the file at two. An AI agent does the prep. People keep price and terms.
The average organization uses only 54% of its provisioned SaaS licenses, according to Zylo's 2026 SaaS Management Index, which calls the rest "46% unused or underutilized." Zylo is a SaaS management vendor that sells this analysis to the IT and procurement teams who review your renewal.
Zylo's advice to them: use the renewal to "potentially reduce license seats." The same index says the average organization manages 211 SaaS renewals a year. By our math that is roughly four a week, and yours is one line in the queue.
Two limits on the 54%. It is a portfolio average, so it says nothing about your product. And it comes from companies that pay Zylo to measure license use, so by our reading it is a picture of buyers who count. Not all of yours do. Ask your champion.
Now picture an illustrative 200-seat contract running at that average:
If your CSM last looked at seat usage at kickoff, the first person to bring up those 92 seats is likely to be the buyer, at the point in the cycle where you have the least time to change it. Then you are negotiating from the buyer's spreadsheet, on their schedule.
Customer success should start a renewal six to nine months before the renewal date. Base AI's renewal marketing guidance places the decision to renew, expand or churn in that window, based on adoption, sentiment and visible ROI. A CSM who starts 60 days out is negotiating a decision the customer has mostly made.
The renewal marketing glossary entry notes that most B2B companies treat renewal as a conversation in the 30 to 60 days before contract end. Six months is the latest start for the runway below. With nine months available, push each checkpoint back.
In G2's February 2026 report on four customer success and subscription vendors, all four reported automating renewal reminders. Our pillar covers what those automations do and the spec an AI agent needs.
A reminder knows a date. It doesn't know that 92 seats are idle or that the signer has never seen a value case. Base AI's retention automation guidance is blunt: "Calendar-driven automation just adds noise."
A renewal plan decides things for each account. Which seats to activate. Which stakeholder needs the value case. When a person has to step in.
On Base AI's customer growth platform, the AI Renewal Teammate "builds the renewal plan from health, usage and NPS, and keeps it on track." Test any vendor's version with our guide to customer success AI agents.
The checkpoints are our recommendation, not an industry standard. At each one, an AI agent does the prep and a person makes the call.
Idle seats have three honest outcomes: activate them, reassign them or plan to give them back. Our view is that a vendor offering to right-size 30 of those 92 seats six months out keeps its credibility. One defending them a month out, against the buyer's own report, risks the seats and the price discussion.
Utilization cuts the other way too. Zylo tells buyers that a particularly high rate may mean they need more licenses. Route those accounts to an expansion play. Base AI's expansion solution scores accounts on usage maturity for that handoff.
Built by hand, a value case reaches only the top accounts. Per the story of Vidyard, a Base AI customer, reps pulled data and compiled decks one account at a time, and high-quality QBRs were limited to select accounts. In the team's words: "It depended on the rep, and it wasn't consistent."
Vidyard built automated QBR hubs that pull customer data together for every account, designed in AI Studio through prompting. The story reports 100% QBR coverage: "Personalized QBRs for every customer, SMB included."
We claim no renewal result. Vidyard's renewal hubs are, in the story's words, "in progress." It shows the precondition: a value case in front of every account. Base AI's retention solution is built for this, with QBRs generated on demand in a customer-facing hub.
Your champion is often not the person who signs. So write the AI agent's handoff rule down in advance. Any one of our three conditions moves the account to a person:
The final 30 days belong to the named owner. Zylo's 2026 index reports that 79% of IT leaders encountered price increases at SaaS renewal in the past 12 months. A price increase from you lands on a buyer who has most likely absorbed one already. That isn't a message to hand to an agent.
Base AI's success automation guidance keeps people on "difficult renewals, executive escalations, complex expansion cases, strategic relationship work." Our companion guide covers what to automate in customer success.
Measure a renewal runway by whether it reached each account in time, not by reminders sent. Reminders only prove the calendar worked. Track four numbers per renewing account: runway coverage, utilization gap closed, signer reached and surprises. Report them as leading indicators in your renewal forecast.
We don't have a benchmark for what this does to renewal rates, and no Base customer has published one. Compare accounts that ran the full runway with those that didn't, over two or three cycles.
On the Base AI Customer Growth platform, programs roll up to one number, NRR.
Pull every account renewing in the next six to nine months. Add one column: seat utilization today. Sort it from lowest to highest.
The top five rows are your first runway. Run the first checkpoint on them this week, before their procurement team runs it for you.
Customer success should start a renewal six to nine months before the renewal date. Base AI's renewal marketing guidance places the customer's decision to renew, expand or churn in that window, based on adoption, sentiment and visible ROI. A CSM who starts 60 days out is negotiating a decision the customer has mostly made, sometimes with a utilization report already in hand.
AI agents help with customer success renewals by building the value case from usage data months before the renewal date. They flag the gap between active and contracted seats, publish a customer-facing value case for every account, keep each renewal plan on schedule and hand an account to a person when it needs one. People keep price, terms, exceptions and executive escalations.
According to Zylo's 2026 SaaS Management Index, the average organization uses 54% of its provisioned licenses, leaving 46% unused or underutilized. Utilization was 47% the year before. Zylo is a SaaS management vendor, its figures come from more than 40M licenses under its management, and 54% is a portfolio average, not a figure for any single product.
A customer's IT or procurement team may see unused seats first. SaaS management vendors such as Zylo sell license utilization analysis to IT and procurement teams, and Zylo advises buyers to use the renewal to "potentially reduce license seats." Not every customer runs such a tool, so ask your champion at the six-month checkpoint whether theirs does, and count the seats yourself before the renewal conversation starts.
A customer success renewal playbook should run on a timeline, not a reminder. Base AI's Renewal Runway, a recommendation rather than an industry standard, has four checkpoints: usage truth at six months, the value case at four, the signer and risk check at three, and the file at two. An AI agent flags, builds and prepares; the CSM decides, and the CSM or account manager named at three months owns the final 30 days.
Price, terms, exceptions and executive escalations should stay with people. Base AI's success automation guidance keeps difficult renewals, executive escalations, complex expansion cases and strategic relationship work with CSMs. An AI agent can still prepare the file: seat utilization by team, the value case and what the customer did with it, the agreed seat plan, and every stakeholder who engaged.
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