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.
How to connect AI agents for webinar planning, content repurposing and publishing
Connect webinar, repurposing and calendar agents through approved source material and explicit handoffs. Plan the session first, review derivative content against the recording, then schedule only assets with confirmed owners, permissions and review time.
Top 6 AI agents for keeping business records accurate
Choose record-quality agents according to where errors enter or spread: sales notes, incoming documents, operational fields, payment records, forecasts or system handoffs. Define the authoritative source for each fact before allowing agents to propose corrections.
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.
Before selling to AI agents, can they understand your offer?
Start by making product facts, prices, conditions and evidence understandable to a buyer’s AI agent. Test whether it can match the offer to explicit requirements before adding purchasing actions, using current sources and realistic buyer questions.
Top 7 AI agents for a small marketing team with a full calendar
Choose marketing agents that reduce repeated preparation, adaptation and reporting work. Start with a recurring task supported by approved material, then account for review capacity before adding more output to an already crowded publishing calendar.
Which AI agents help when enterprise deals get stuck in procurement?
Use security questionnaire agents for evidence-backed answers, RFP agents for coordinated responses, and fit agents for capability gaps. Start with the unresolved requirement blocking progress, keeping specialist review over disclosures, compliance statements and delivery commitments.
Top 5 AI agents for reducing manual work after a sales call
Use post-call agents to draft follow-ups, correct records, identify discovery gaps, prepare proposals and coordinate next steps. Choose only the outputs the conversation supports, leaving unconfirmed requirements and dates open for the account owner to resolve.