Customer Success co-build workshop
Coming soonHalf a day with the people who do the work. You leave with one working agent on your own data, not a slide about one.
Surface account health, adoption data, and renewal history the moment you need it. Spend less time hunting for context and more time on the relationship.
Contact salesarrow_forwardUsage, tickets, contract history and past conversations come back as one answer, each part linked to where it came from.
Accounts drifting away from their own healthy pattern are flagged while there is still room to do something about it.
Every review, renewal and escalation starts from what the customer has already told you.
Each agent names what it reads, what it writes, and where a person still signs off. Open any card to see it in full.
One cited view of an account: usage, tickets, contacts and open promises
Flags accounts drifting from healthy patterns, with the evidence behind each flag
Assembles the case for renewal: value delivered, issues closed, what changed
Surfaces accounts showing real signs they need more, with the evidence
Builds the quarterly review from the account's own record, in your template
Turns discovery and customer calls into themes you can act on, quoted
Every agent runs on systems you already use, through your existing permissions — no new data store, no re-permissioning exercise.
Every capability is designed around the real workflows your team uses every day.
Pull together usage data, support history, and past conversations for any account in seconds, before every call.
Surface accounts with dropping usage or unresolved issues automatically, so you can act before renewal, not after.
Every answer sources back to your actual CRM, support tickets, and product data — no guessing on account status.
Working sessions where teams build a first agent on their own data. Dates for the next round are not set yet.
Half a day with the people who do the work. You leave with one working agent on your own data, not a slide about one.
A live session on what the harness has to know before an agent’s output is worth reading.