Retrieve customer context in Claude
Pull account, plan, usage, and error logs from internal systems into Claude, giving reps AI agent assist and AI log analysis for faster AI customer support.
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When a support rep asks Claude for more context during an investigation, Claude acts as an AI agent and calls the scenario with an on demand trigger via the Make MCP connection, providing 'customer_id' and 'timeframe' as scenario inputs. The scenario retrieves the account profile and plan details from [customer account database or internal admin API], pulls usage metrics against plan limits from [usage analytics system or internal usage API], and fetches recent error and execution logs for the given time range from [logging or observability platform], then merges the results into one structured response which is mapped to a Scenarios > Return output module in a field called 'results' so Claude can read the scenario response.
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Problem
Support reps investigating a customer issue have to leave their conversation, log into several internal tools, and look up the customer's account, plan, usage, and recent error logs by hand. Piecing this context together across systems slows the investigation, breaks the rep's focus, and leads to answers based on incomplete information.
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Solution
When a support rep asks Claude for more context during an investigation, Claude acts as an AI agent and decides to call the automation as a tool, passing the customer ID and an optional time range. The automation retrieves the account profile and plan details, pulls usage metrics against plan limits, and fetches recent error and execution logs from internal systems, then merges the results into one structured response and returns it to the agent to analyze within the conversation.
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Impact
Customer issues are diagnosed from complete, accurate account and usage context inside the rep's conversation, so customers receive correct answers sooner without reps switching between internal tools.
Benefits
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Reduced investigation time
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Higher first contact resolution
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Fewer engineering escalations
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Increased customer satisfaction
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Success stories
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
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