Agent Opportunity Mapping
Identify repetitive decisions, handoffs, follow-up gaps and knowledge bottlenecks where an agent may create real value.
Jeff Turnbow helps established companies identify where AI agents can create measurable leverage, then designs the workflows, guardrails and implementation plan around the people and systems already doing the work.
An AI agent is software that can interpret information, make bounded decisions and take actions toward a defined business objective. The useful question is not whether a company can build one. It is which workflow deserves one, what access it should have, where humans stay in control and what outcome should improve.
The work can range from a single high-value agent to a coordinated set of agents across sales, marketing, customer service, operations and leadership.
Identify repetitive decisions, handoffs, follow-up gaps and knowledge bottlenecks where an agent may create real value.
Define instructions, permissions, business rules, approval points, data boundaries and escalation paths before deployment.
Connect agents to the systems they need through available APIs, automations and integrations while preserving human control.
Test accuracy, adoption, speed, cost, revenue impact and risk before expanding an agent across the organization.
An AI agent builder translates a business workflow into an agent system: instructions, data access, tools, permissions, guardrails, human approvals, integrations and measurement. Jeff Turnbow starts with the business process before selecting the technology.
The best starting point is usually a workflow with high repetition, clear business rules, accessible data and a measurable outcome such as faster follow-up, reduced manual work, better response time or improved conversion.
Often, yes, when the systems provide appropriate APIs, integrations or automation access. The design should limit each agent to the permissions and data it actually needs.
Traditional automation usually follows fixed rules. An AI agent can interpret unstructured information and choose among bounded actions, but it still needs clear instructions, controls and escalation rules.
No. Some problems are better solved with simpler automation, process redesign or better use of existing software. The objective is measurable business improvement, not adding AI for its own sake.
Bring the business problem, the workflow and the systems involved. The first conversation is about whether an agent is actually the right solution.
Schedule an AI Agent Strategy Conversation →