The Agentic Advantage for Finance Leaders Chapter 4

Best Practices in Implementing Agentic Execution

The transition from traditional automation to agentic execution is less about introducing new tools and more about changing how work is structured.

Step 1: Replace task automation with process orchestration

In a traditional model, automation is designed to execute predefined steps. It performs well when inputs are predictable and workflows are stable. As variability increases, its effectiveness declines. Exceptions are escalated to humans, who must reconstruct context and determine the appropriate course of action.

Do not implement:

• Isolated bots
• Single-step AI tools

Instead, implement:

• End-to-end process ownership by AI agents
• Coordination across ERP, CRM, payments, and procurement systems

Step 2: Deploy the right type of AI

An agentic model approaches this differently. It treats execution as a continuous process rather than a sequence of isolated tasks. When an exception occurs, the system does not simply pass it along. It interprets the situation, gathers relevant information from across systems, and provides a structured understanding of what has happened and what can be done next.

Most organizations today use:

• Personal AI (content, summaries)
• ERP-native automation
• Point solutions (AP, AR tools)

But not all AI agents are equal. AI agents that cannot adequately connect to these systems deliver:

• Low complexity
• Low impact (~10–15% productivity gains)

Agentic execution introduces AI process agents, which:

• Operate across systems
• Handle high-complexity workflows
• Drive mission-critical execution
• Deliver up to 80% process-level impact

Step 3: Design for action

Over time, this capability extends beyond transactional processes. Finance teams can apply the same principles to more complex, judgment-based work, such as technical accounting decisions, variance analysis, and scenario modeling. By embedding domain knowledge into the system, organizations can standardize how decisions are made while still allowing for human oversight where needed.

Implement workflows that:

• Initiate automatically
• Pause for approvals or missing inputs
• Resume with full context

This is critical for:

• Invoice approvals
• Dispute resolution
• Close processes

Step 4: Redefine the human role

This changes the role of the human in the loop. Instead of acting as a manual coordinator, the human becomes a decision-maker, equipped with context and recommendations. Resolution becomes faster, more consistent, and less dependent on individual expertise.

Shift from...

• Transaction execution

...to:

• Exception judgment
• Policy oversight
• Strategic analysis

Ensure humans are:

• Engaged only in enterprise-level oversight
• Equipped with full process context

Step 5: Scale autonomy gradually

The most effective programs begin with clearly defined use cases that address real business needs. They avoid experimental deployments that demonstrate technical capability but lack operational relevance. Instead, they focus on delivering measurable improvements within a defined timeframe, often within weeks rather than months or years.

Start with...

• Low-risk, high-volume decisions

...then expand to:

• Exception handling
• Cross-process coordination

Always anchored in:

• Finance policies
• Defined thresholds
• Governance controls

Implement governance and control

For finance, governance is not a secondary consideration. It is the foundation on which adoption depends.

Any form of automation must operate within clearly defined policies, maintain separation of duties, and provide full visibility into how decisions are made. Without this, trust erodes quickly, and scaling becomes impossible.

Agentic automation addresses this requirement by embedding control directly into execution. Policies are not enforced after the fact; they are applied in real time as decisions are made. This ensures that outcomes remain consistent with organizational standards, even as processes become more dynamic. Here’s how you can achieve this:

Move controls upstream:

• Real-time validation
• Policy-driven decisioning
• Automated approvals

Eliminate reliance on:

• After-the-fact audits

At the same time, ensure the system maintains a complete record of actions and reasoning. This level of transparency is critical for audit and compliance. It allows finance teams to understand not only what happened, but why it happened, without relying on manual reconstruction.

Every action must be:

• Logged
• Explainable
• Traceable

This enables:

• Continuous audit models
• Risk-based monitoring
• Reduced audit scope constraints

One of the more subtle benefits is the standardization of expertise. By encoding accounting rules, approval thresholds, and risk frameworks into the system, organizations reduce their dependence on individual knowledge. This improves consistency, lowers the risk of error, and makes processes more resilient as teams scale.

Ensure governance spans:

• ERP
• CRM
• Payments
• Procurement
• External systems

Decisions must reflect:

• Full process context

Over time, these capabilities enable a shift toward continuous audit models. Instead of periodic reviews constrained by resources, organizations can monitor activity in real time, focusing attention on areas of highest risk.

Shift from...

• Periodic audits

...to:

• Always-on monitoring
• Real-time risk detection
• Automated compliance enforcement