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AI workflows for the work you actually do.
Each workflow shows the job, what it used to cost you in time, the exact steps split between AI and you, the tools involved, and the situations where it falls apart. Search it, or pick your role.
Matching workflows
support · Customer Success Manager
Checking whether a client account is confidential before publishing a case study or sharing details externally
Publishing details about a customer account without proper consent or a signed release can breach nondisclosure agreements, damage client trust, and violate internal compliance rules.
support · Customer Support Lead
Review last week's support tickets and find the three macros that need rewriting
Support teams often rely on outdated macros that fail to resolve customer issues or generate confusion, leading to repeat contacts, but manually auditing hundreds of ticket transcripts to find the worst-performing canned responses takes hours of tedious reading.
support · Customer Support Lead
score a sample of agent replies against the team's quality checklist
Team leads and QA reviewers lack the time to manually evaluate more than a tiny fraction of total support tickets, leaving coaching gaps and inconsistent adherence to support standards unspotted.
support · Customer Support Lead
Reviewing last week's support tickets to update macros and remove outdated responses before sharing them with the team
Support macros get outdated as product features and policies change, but agents keep using saved replies that link to old documentation or give incorrect instructions because nobody has time to audit them regularly.
support · Customer Success Manager
Identifying which accounts are ready for an expansion conversation based on their product usage and feature adoption data.
Customer Success Managers often pitch tier upgrades too early or too late because tracking usage data across dozens of accounts by hand takes too much time, meaning expansion opportunities are missed or conversations happen when clients are already frustrated.
support · Customer Support Lead
Write the escalation summary before handing a stuck ticket to engineering
When a support lead needs to hand off a complex technical issue to engineering, writing the summary often requires reading through a long chat history, digging into past error logs, and piecing together the customer's reproduction steps from scratch. Important context gets left out, leading to back-and-forth questions from developers before they can even start investigating.
support · Customer Success Manager
Prepare a quarterly business review deck for a customer account using product usage data and past support tickets
Pulling data from multiple systems and summarizing months of ticket history by hand takes hours, leading to rushed decks that miss key usage trends or unresolved support patterns.
support · Customer Success Manager
spot which accounts are at renewal risk before the renewal call
Customer success managers often realize an account is going to churn only after the renewal notice is ignored or the cancellation request arrives, because usage drops and support tickets pile up across different systems before anyone connects the dots.
support · Customer Success Manager
build a 30-day onboarding plan for a new account after kickoff
building a custom 30-day onboarding plan from scratch takes too much time, leading to generic plans that miss specific customer goals discussed during the sales process.
support · Customer Support Lead
Reviewing support chatbot transcripts to find where customers get stuck and sending those failed conversations to the team that updates the training data.
Support leads spend hours reading through hundreds of chat logs manually to find loops where the bot repeats itself or fails to answer, meaning many failed interactions go unnoticed until customers complain.
support · Customer Success Manager
Checking on onboarding projects that have gone quiet and figuring out why they are stuck before the client gets annoyed and complains.
Implementation projects stall quietly because client contacts get busy, technical setup hits a snag, or internal teams drop the ball. Customer Success Managers often only notice the delay when a client sends an angry email demanding to know why nothing has happened in three weeks.
support · Customer Success Manager
Review support tickets for a key account to summarize friction points before an executive check-in
When you have to pull together a history of issues for a major client meeting, digging through months of closed and open support threads by hand takes hours, and it is easy to miss a recurring technical complaint that the executive will inevitably bring up.
support · Customer Support Lead
Write an escalation summary for a stuck customer support ticket and verify all technical details before handing it over to engineering
Support leads spend excessive time hunting through chat logs, knowledge bases, and previous tickets to assemble context for engineers, often missing crucial error logs or reproducing steps in the rush to escalate.
support · Customer Support Lead
Reviewing support agent ticket replies against quality guidelines before 1-on-1 coaching sessions
Manual QA sampling is tedious and inconsistent. Support leads typically review only a tiny fraction of total tickets, missing recurring agent mistakes or catching them too late to prevent poor customer experiences.
support · Customer Success Manager
Extracting product feedback and reasons for leaving from final offboarding interview notes before closing a customer account
Important feature requests and product feedback get buried in raw interview transcripts or meeting notes, making it difficult to aggregate why customers actually leave.
support · Customer Success Manager
Reviewing customer health scores and writing account intervention plans before renewal calls
Customer Success Managers often spot dropping health scores too late or miss the specific usage trends driving the decline, leading to unorganized prep work and defensive renewal conversations.
support · Customer Support Lead
Analyze a sudden spike in customer refund requests to find the underlying issue before waiting for formal product reporting
Refund requests are coming in faster than support can categorise them, making it difficult to spot whether a recent update, billing error, or product bug is driving the surge before management asks for answers.
support · Customer Success Manager
Tracking stakeholder changes in an enterprise account and updating the CRM before the next customer touchpoint.
Buying committee members leave, change roles, or get promoted without notifying the vendor, leading to awkward outreach to former champions and outdated contact records in the CRM.
support · Customer Support Lead
Compiling the shift handover log from unresolved tickets and flagging approaching SLA breaches before the end of the shift
Support leads spend the last thirty minutes of every shift manually combing through open ticket queues to find urgent issues, leading to missed SLA breaches and incomplete notes passed to the incoming team.
support · Customer Success Manager
Reviewing and categorizing customer feedback on a new beta feature before sharing it with the product team
Raw feedback is buried in a high volume of support tickets, Slack messages, and survey responses, mixed with unrelated issues, one-off bugs from a single user, and incomplete thoughts that make it difficult to see actual patterns.