Articles
Build better agents.Make better decisions.
Practical guides, original research and benchmarks to help you choose, build and improve AI agents for your business.
Top 6 AI agents for keeping customer promises on track
Use agents to preserve commitments from sales through onboarding, delivery and recovery. Choose the point where promises lose an owner or completion evidence, and keep proposed dates distinct from commitments the customer has actually accepted.
Top 5 AI agents for handling customer issues after a purchase
Choose post-purchase agents for status questions, complex escalations, incident communication, returns or service recovery. Match the workflow to the actual issue, using original purchase records and confirmed facts before promising a remedy or completion date.
Top 5 AI agents for finding revenue opportunities in existing customers
Use customer agents to investigate unmet goals, relationship gaps, milestones, expansion requests and resolved reasons for leaving. Start with evidence of a relevant need, keeping customer support and commercial outreach separate until the account owner confirms the opportunity.
Renewal preparation agents vs customer value reporting agents: which should come first?
Choose renewal preparation when contract dates and unresolved issues need coordination. Choose value reporting when the team needs defensible evidence of customer outcomes. Use a business review agent to organise the conversation once the underlying facts are ready.
Top 5 AI agents for turning customer feedback into action
Use feedback agents to separate shared themes from individual requests, detect guidance gaps, coordinate personal follow-ups and handle public mentions. Start where feedback currently stops, and track resolution rather than treating a routed message as completed customer work.
AI agents for customer onboarding: where should the sales handoff end and delivery begin?
Use a contract handoff agent to preserve agreed obligations, an onboarding agent to organise setup, and a milestone agent to verify progress. Transfer responsibility through acknowledged outputs, with dates and completion tied to actual evidence.
Top 5 AI agents for making customer review meetings more useful
Use review agents to assemble credible outcome evidence, renewal facts, stakeholder context, agreed goals and a focused agenda. Start with the decision the customer needs to make, keeping estimates and unresolved issues visible throughout the preparation.