Sales follow-up agent
Prepare or execute defined follow-up actions using CRM context and approved rules.
Northbound designs AI agents around narrowly defined business processes, explicit tool access, clear escalation rules and measurable outcomes so they operate as controlled systems rather than open-ended experiments.
An AI agent should know what it can do, what it cannot do, and when a human takes over.
These are representative patterns, not a prescribed technology stack. The right implementation depends on the business, systems, data and risk profile.
Prepare or execute defined follow-up actions using CRM context and approved rules.
Classify requests, gather context and route issues before a human handles the exception.
Coordinate repetitive multi-step administrative processes across approved systems.
Collect, compare and synthesize defined information for human review.
Retrieve relevant internal information and prepare answers grounded in approved sources.
Watch defined signals and surface exceptions requiring human attention.
Northbound establishes the baseline before implementation and tracks the operating signals that determine whether the capability is actually creating value.
The scope expands only when the evidence supports it.
Scope the process, tools, data, authority and human checkpoints.
Evaluate normal cases, edge cases, failures and escalation quality.
Track performance, cost, incidents and changes over time.
Northbound avoids “agent for everything” designs. The more consequential the action, the more explicit the permission model, evidence trail and human oversight need to be.
Use the Northbound assessment to show us where work is getting stuck and what outcome matters most.
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