Agents as Employees: JD, KPI, Token Budget, SLA

Artificial Intelligence is no longer just a tool — it’s becoming a real member of the team.
AI agents are increasingly autonomous: they manage workflows, create reports, support customers, and make data-driven decisions.
To truly integrate them into business operations, we need a mindset shift — we must start treating them as digital employees.

Defining Clear Roles (JD)

Like any collaborator, an agent needs a Job Description (JD).
It should define:

• What it does: its tasks and objectives.
• Who it interacts with: systems, people, and processes.
• Its limits: what it must not or cannot do.

A clear JD reduces ambiguity and improves collaboration between humans and AI.

Measuring Results (KPI)

An agent’s work should be evaluated just like any other team member.
KPIs (Key Performance Indicators) measure the quality of its performance:

• completed tasks;
• accuracy of responses;
• execution time;
• number of escalations to human operators.

Monitoring these metrics helps determine whether the agent is truly adding value to the organization.

Managing Resources (Token Budget)

Every agent consumes computational resources — tokens, APIs, memory.
Assigning a token budget means setting how much it can use, keeping costs under control and ensuring sustainability.

It’s the digital equivalent of giving an employee their operating budget: a way to balance efficiency and cost.

Ensuring Reliability (SLA)

SLAs (Service Level Agreements) define the rules of engagement:
response time, minimum accuracy, availability, and escalation procedures.

They establish clear expectations and build trust.
An agent with well-defined SLAs is predictable, reliable, and easy to govern.

Toward the Augmented Organization

Thinking of agents as digital employees changes how companies operate.
It’s no longer just about automation — it’s about collaboration: assigning goals, measuring performance, and managing resources like any team member.

That’s how we build the augmented organization — where people and agents work together, each in their role, to create greater value.