1. Working with Agentic AI: Budget Analyst

How human skills and agentic skills can be dynamically integrated and coordinated across budget analysis responsibilities

1.1. Budget Analyst as an Occupation

A budget analyst is a professional who develops, analyzes, reviews, monitors, and communicates budgets to support the effective allocation and control of financial resources. The occupation connects financial analysis with organizational planning, resource allocation, expenditure control, program requirements, management decisions, and applicable financial policies and procedures.

Budget analysis extends beyond preparing numerical budgets. A budget analyst must understand how organizational objectives, program requirements, historical expenditures, revenue and funding constraints, accounting information, financial assumptions, management priorities, and regulatory requirements affect the planning and use of financial resources.

Typical responsibilities of a budget analyst include:

• budget planning, preparation, and forecasting;
• budget and financial analysis;
• budget review, accuracy verification, and compliance;
• expenditure monitoring and budgetary control;
• resource allocation and funding recommendations;
• budget adjustments and financial coordination;
• cost-benefit analysis and operational efficiency; and
• budget reporting, communication, and advisory support.

These responsibilities are fulfilled through different tasks and subtasks, and each task may require multiple actions with different skill requirements. Human skills and agentic skills can both contribute to performing these responsibilities, but their levels and forms of involvement may differ according to the characteristics of the responsibility, financial information, organizational context, applicable requirements, consequences of decisions, and expected outcome.

1.2. Human Skills and Agentic Skills in Budget Analysis

Budget analysis increasingly involves both human skills and agentic skills.

Human skills are reusable capabilities possessed and developed by budget analysts. They may include financial reasoning, accounting knowledge, quantitative analysis, budget planning, organizational understanding, regulatory interpretation, communication, negotiation, contextual interpretation, problem solving, and professional judgment.

Agentic skills are reusable capabilities available to AI agents through their underlying models, contextual information, instructions, constraints, tools, and computational resources. In budget analysis, these skills may include information retrieval, financial data extraction, classification, calculation, summarization, comparison, variance analysis, trend analysis, scenario generation, document generation, consistency checking, report preparation, and tool use.

Both skill types can contribute to the same occupational responsibilities, but their involvement levels vary. Budget calculations and repeated variance analyses may involve high agentic participation because the underlying actions are systematic and data-intensive. Interpretation of an unusual spending pattern may require greater human involvement because its significance depends on program activities and organizational context. Funding recommendations may combine extensive agentic analysis with strong human judgment because the analyst must consider not only numerical results but also priorities, constraints, risks, and consequences.

The useful relationship is therefore not a fixed division in which certain responsibilities permanently belong to humans and others belong to AI. Human and agentic involvement can change from one task to another and even between different actions within the same task.

1.3. Dynamic Human–Agentic Skill Integration and Collaboration in Budget Analysis

Budget analysis can be understood as an occupation in which responsibilities are fulfilled through tasks and subtasks, tasks and subtasks are executed through actions, and actions require appropriate configurations of human and agentic skills.

An occupation provides the overall professional context. For budget analysis, this context includes planning, analyzing, allocating, monitoring, and communicating financial resources in accordance with organizational objectives and applicable financial requirements.

A responsibility represents an expected area of professional work or an outcome that the budget analyst is expected to accomplish or maintain. Responsibilities such as preparing budgets, monitoring expenditures, evaluating funding requests, and communicating financial information may each contain multiple tasks.

A task is a context-dependent unit of work used to fulfill part or all of a responsibility. When a task is too broad or complex for reliable execution, it may be decomposed into smaller subtasks.

Tasks and subtasks are executed through one or more actions. Actions represent reusable and configurable operations such as retrieving financial records, extracting budget data, calculating variances, comparing expenditures, checking assumptions, identifying trends, evaluating a funding request, generating a forecast, summarizing financial information, or communicating a recommendation.

Each action has skill requirements. These requirements describe the capabilities needed for the action to be executed effectively and reliably. Depending on the action and its context, the requirements may be satisfied by human skills, agentic skills, or an integration of both.

The skills available for budget analysis reside in a skill space containing both human skills and agentic skills. Some skills in this space become candidate skills for executing the actions required by a particular task. A human skill in financial judgment, for example, may be a candidate for evaluating whether a proposed expenditure is reasonable, while an agentic skill in financial comparison may be a candidate for analyzing the underlying expenditure records.

The candidate skills are considered relative to the requirements of the action and the occupational and task context. Appropriate skills are then selected and organized into a skill configuration for execution. A configuration may rely mainly on human skills, mainly on agentic skills, or on an integrated arrangement of both.

1.3.1. Skills Competition and Skills Collaboration

Two important relationships may occur between human skills and agentic skills when a skill configuration is constructed: skills competition and skills collaboration.

Skills competition occurs when both a human skill and an agentic skill can satisfy the same or similar requirements for an action, but both do not need to be applied simultaneously. Under a particular occupational and task context, one may be better suited than the other.

For example, both a budget analyst and an AI agent may be capable of comparing current expenditures with an approved budget. When financial records are structured, comparison rules are explicit, and results can be verified systematically, an agentic skill may perform the action faster and at greater scale. When expenditure classifications are ambiguous or the comparison depends on unusual program circumstances, the analyst’s contextual understanding may provide the better fit.

The purpose of skills competition is therefore not to establish whether human or agentic skills are generally superior. It is to identify which available skill provides the better fit for a particular action under particular conditions.

Skills collaboration occurs when the requirements of a task or its actions cannot be satisfied effectively by one skill type alone, or when combining complementary human and agentic skills is expected to produce better task performance.

Collaboration does not require human and agentic skills to operate at exactly the same time. They may be activated at different stages of action execution in a sequential, iterative, or recursive manner.

For example, an AI agent may identify an unexpected increase in departmental expenditures, the budget analyst may interpret the increase in relation to recent program changes, the agent may analyze additional transaction categories requested by the analyst, and the analyst may determine whether a budget adjustment is justified. If additional uncertainty remains, another round of analysis may follow.

This dynamic relationship allows budget analysts to exploit the complementary strengths of both skill types rather than relying on a permanent allocation of work.

1.3.2. Skill Configuration and Task Execution

A skill configuration specifies which human skills and agentic skills will be used to execute the actions associated with a task or subtask and how those skills will be coordinated.

The configuration depends on factors such as financial-data quality, task ambiguity, applicable policies, analytical complexity, expected accuracy, available tools, reporting requirements, decision consequences, time constraints, and intermediate results.

For one action, an agentic skill may independently satisfy the requirements. For another, a human skill may be selected instead. A complicated budget task may require several configurations across multiple actions, with human and agentic skills repeatedly interacting as the task progresses.

The configuration is therefore dynamic rather than permanent. It may change when new financial information becomes available, when an assumption changes, when an agentic result fails validation, or when human interpretation identifies a different analytical direction.

Throughout this process, the budget analyst remains the professional responsible for promoting and controlling the work associated with the occupation and its responsibilities. Agentic AI provides powerful complementary capabilities that can expand what the professional can retrieve, calculate, compare, verify, analyze, summarize, and communicate.

1.3.3. Task Performance Evaluation and Skill Space Adaptation

The performance produced through a selected skill configuration must be evaluated against predefined evaluation metrics. These metrics determine whether the human skills, agentic skills, or their integrated configuration are sufficiently capable of performing the relevant task and its required actions.

The evaluation criteria depend on the work being performed. In budget analysis, they may include numerical accuracy, completeness, consistency, compliance, forecast accuracy, analytical reliability, timeliness, traceability, clarity, and adherence to organizational requirements.

When a selected skill or skill configuration produces performance above the defined threshold, it passes the performance evaluation and can be retained for future applications under appropriate conditions. Repeated successful use provides additional evidence about where that skill or configuration can be applied effectively.

When performance falls below the required threshold, the corresponding skill or configuration should not simply be reused without modification. Human or agentic skills may be refined or reconfigured. Existing capabilities may be combined differently, or new human and agentic skills may be developed or constructed when the existing skill space does not provide an adequate capability.

For example, if an agentic skill repeatedly produces accurate variance calculations but incorrectly classifies unusual expenditures, the skill may be refined through better classification instructions, additional contextual information, improved financial-system access, or a human-review stage. If a budget analyst lacks expertise in a newly introduced funding mechanism, the corresponding human skill may be developed through learning and practical experience.

Refined and newly constructed skills that satisfy the required performance criteria can be added to the skill space. Task performance evaluation therefore provides feedback not only for completing current budget work but also for continuously optimizing and expanding the available capabilities.

The skill space should not be constructed as an isolated collection of occupation-specific representations. Many capabilities used in budget analysis are reusable across occupations. Financial calculation, data analysis, information retrieval, document interpretation, comparison, forecasting, summarization, communication, and tool use may also contribute to accounting, financial analysis, management, procurement, project management, and other professional work.

Reusable skills can therefore be represented once and configured differently according to the responsibilities, tasks, actions, and contexts of different occupations. Occupational specialization can be introduced through financial context, task requirements, parameters, tools, constraints, policies, and skill configurations rather than unnecessarily creating a new representation whenever the same underlying capability is used elsewhere.

The resulting process is adaptive:

occupational responsibility → task and subtask → actions → skill requirements → candidate human and agentic skills → skill configuration → task execution → task performance evaluation → skill refinement, reconfiguration, or construction → optimized and expanded skill space

This cycle allows human and agentic capabilities to evolve together with the requirements of budget analysis.

1.4. Essential Responsibilities of Budget Analyst

1.4.1. Budget Planning, Preparation, and Forecasting

Budget planning, preparation, and forecasting establishes the financial resources expected to be required for future organizational activities. The responsibility involves gathering historical financial information, reviewing program plans, estimating revenues and expenditures, developing assumptions, preparing budget estimates, and projecting future financial requirements.

Agentic skills can support large-scale data collection, historical analysis, calculation, trend detection, forecast generation, scenario comparison, and preparation of initial budget materials. Human skills remain essential for interpreting organizational plans, evaluating assumptions, understanding unusual financial conditions, and determining whether resulting estimates are realistic.

For example, an AI agent may retrieve several years of expenditure data, identify recurring spending patterns, and generate alternative forecasts under different assumptions. The budget analyst reviews the forecasts and recognizes that a planned program expansion makes the historical trend insufficient for estimating future staffing costs. The analyst specifies revised assumptions, the agent recalculates the scenarios, and the analyst evaluates the updated estimates before incorporating them into the proposed budget.

1.4.2. Budget and Financial Analysis

Budget and financial analysis examines financial information to understand spending patterns, funding requirements, budget trends, and differences between planned and actual financial performance.

The responsibility requires both systematic quantitative analysis and interpretation of what the resulting patterns mean for programs and organizational objectives. Agentic skills can perform calculations, variance analysis, trend identification, comparison, categorization, and repeated analysis across large financial datasets. Human skills provide financial interpretation, contextual reasoning, and judgment about the significance of identified patterns.

For example, an AI agent may compare monthly departmental spending against the approved budget and identify several categories with persistent unfavorable variances. The budget analyst examines these results and determines that some variances reflect temporary timing differences while another indicates a structural increase in operating costs. The analyst asks the agent to model the expected year-end effect of that increase before determining what action should be recommended.

1.4.3. Budget Review, Accuracy Verification, and Compliance

Budget review, accuracy verification, and compliance ensures that budget estimates, financial submissions, and related information are complete, internally consistent, appropriately supported, and aligned with applicable procedures, policies, and requirements.

Agentic skills can support arithmetic verification, consistency checking, missing-information detection, document comparison, rule-based validation, and retrieval of relevant requirements. Human skills are particularly important for interpreting complex or ambiguous requirements, determining materiality, resolving exceptions, and judging whether a submission appropriately reflects its underlying purpose.

For example, an AI agent may review a departmental budget submission and identify an inconsistency between a staffing schedule and the corresponding salary estimate. It may also flag a requested expenditure that appears inconsistent with a defined budget rule. The analyst investigates the staffing difference, interprets whether the rule applies to the requested expenditure, and asks the department for clarification where necessary. The agent can subsequently recheck the corrected submission.

1.4.4. Expenditure Monitoring and Budgetary Control

Expenditure monitoring and budgetary control tracks the use of approved financial resources and identifies conditions that may require management attention or corrective action.

The responsibility includes comparing actual and planned expenditures, monitoring spending rates, identifying emerging variances, assessing remaining resources, and estimating whether current patterns are likely to create future budget problems.

Agentic skills can continuously process financial records, calculate variances, detect anomalies, generate alerts, and project future expenditure positions. Human skills are needed to determine why deviations occurred, whether they are material, and what response is appropriate.

For example, an AI agent may detect that a department is consuming its annual operating budget substantially faster than expected and project a year-end shortfall. The budget analyst examines the underlying transactions and learns that part of the increase reflects an approved one-time purchase. The agent recalculates the forecast after separating the one-time expenditure, allowing the analyst to determine whether additional controls or adjustments are actually necessary.

1.4.5. Resource Allocation and Funding Recommendations

Resource allocation and funding recommendations support decisions about how limited financial resources should be distributed among programs, departments, projects, and competing requests.

The responsibility may involve evaluating funding proposals, comparing resource requirements, examining available appropriations or funding limits, assessing expected benefits, and preparing recommendations for approval, modification, or rejection.

Agentic skills can organize funding requests, compare financial requirements, calculate alternative allocations, identify constraints, and generate scenario analyses. Human skills are central to evaluating organizational priorities, interpreting nonfinancial considerations, balancing competing needs, and making defensible recommendations.

For example, several departments may request additional funding while only part of the requested amount is available. An AI agent can compare the requests, summarize supporting evidence, calculate alternative allocation scenarios, and show the financial effects of each option. The budget analyst evaluates the scenarios against organizational priorities, program commitments, implementation risks, and funding restrictions before preparing a recommendation. The agent may then model the financial implications of the preferred allocation.

1.4.6. Budget Adjustments and Financial Coordination

Budget adjustments and financial coordination ensures that approved budgets remain aligned with changing programs, organizational conditions, funding availability, and operational requirements.

Budget analysts may review requested adjustments, assess transfers or reallocations, coordinate with managers, update projections, and determine how proposed changes affect other parts of the budget.

Agentic skills can identify affected budget lines, calculate revised balances, trace dependencies, compare proposed changes with existing plans, and generate updated projections. Human skills are particularly important for understanding why changes are required, coordinating with responsible managers, resolving competing requirements, and determining whether proposed adjustments are justified.

For example, a program manager may request additional funding because implementation requirements have changed. An AI agent can identify available balances, model several transfer options, and calculate the effects on other programs. The analyst discusses the change with the manager, determines which expenditures are genuinely necessary, and evaluates whether reallocating funds would create unacceptable consequences elsewhere. The agent then recalculates the budget based on the preferred adjustment.

1.4.7. Cost-Benefit Analysis and Operational Efficiency

Cost-benefit analysis and operational efficiency evaluates the financial implications of programs, activities, financing alternatives, or proposed changes and identifies opportunities to use resources more effectively.

The responsibility involves comparing costs and expected benefits, evaluating alternatives, testing assumptions, identifying inefficient spending patterns, and examining how changes could affect financial or operational performance.

Agentic skills can collect and organize cost information, perform repeated calculations, compare alternatives, conduct sensitivity analyses, and identify patterns across financial data. Human skills are required to determine which costs and benefits are relevant, evaluate uncertain or difficult-to-quantify consequences, and judge whether apparent financial efficiencies are operationally desirable.

For example, an organization may consider replacing an existing service process with a lower-cost alternative. An AI agent can calculate expected costs under several scenarios, compare historical expenditures, and perform sensitivity analysis on major assumptions. The analyst recognizes that one option creates implementation risks not adequately represented in the financial calculation and requests an additional scenario incorporating transition costs. The combined analysis supports a more complete recommendation.

1.4.8. Budget Reporting, Communication, and Advisory Support

Budget reporting, communication, and advisory support converts financial analysis into information that managers, decision-makers, funding authorities, and other stakeholders can understand and use.

The responsibility includes preparing regular and special budget reports, summarizing financial conditions, explaining variances, presenting funding recommendations, advising managers on budget preparation and cost issues, and communicating the implications of financial decisions.

Agentic skills can generate report drafts, summarize financial information, prepare tables and explanatory materials, compare reporting periods, and adapt information for different audiences. Human skills remain essential for determining what information matters, explaining organizational implications, responding to questions, advising decision-makers, and communicating recommendations persuasively and responsibly.

For example, an AI agent may prepare a draft quarterly budget report identifying major variances and summarizing updated year-end projections. The analyst verifies the results, identifies the issues requiring management attention, revises explanations to reflect organizational context, and presents the findings to managers. Questions raised during the discussion may trigger additional agentic analysis, after which the analyst provides updated advice.

1.5. Changing Human and Agentic Involvement Across Budget Analysis Responsibilities

Human skills and agentic skills are involved throughout budget analysis, but their relative involvement differs across responsibilities and may change during task execution.

These involvement levels should not be interpreted as permanent allocations. A single responsibility may contain actions in which human and agentic skills compete as alternative capabilities and other actions in which they collaborate sequentially, iteratively, or recursively.

The practical objective is to construct skill configurations that use the most suitable available capabilities for each part of the work and to revise those configurations when task performance evaluation shows that another arrangement could perform more effectively or reliably.

1.6. Working as a Budget Analyst with Agentic AI

Agentic AI is becoming an increasingly powerful and promising capability for budget analysis. Budget analysts should therefore be prepared to accept and embrace AI agents as complementary participants in professional workflows rather than treating them only as occasional tools for calculation, document preparation, or information retrieval.

This does not reduce the importance of professional budget expertise. Human professionals remain responsible for the occupation and its corresponding responsibilities. They understand organizational objectives, interpret financial and program context, determine appropriate assumptions, evaluate competing priorities, interpret applicable requirements, control consequential recommendations, communicate with stakeholders, and evaluate whether task performance is acceptable.

At the same time, agentic skills can substantially expand the amount and variety of financial information that can be processed. AI agents can retrieve and reconcile records, perform repeated calculations, monitor expenditures, identify variances, generate forecasts, compare funding scenarios, test assumptions, prepare reports, and continuously analyze financial evidence at a scale difficult to achieve through direct human effort alone.

The strongest budget analysis practice is therefore not based on maximizing human work or maximizing agentic work independently. It is based on finding appropriate configurations of human skills and agentic skills for the responsibilities, tasks, subtasks, and actions being performed.

Where human and agentic skills can independently perform the same action, skills competition can help identify which capability is better suited to the current context. Where effective budget work requires complementary capabilities, skills collaboration can activate human and agentic skills sequentially, iteratively, or recursively to achieve stronger task performance.

Task performance evaluation then determines whether the selected skills and configurations satisfy predefined expectations for accuracy, reliability, compliance, timeliness, and other relevant requirements. Successful capabilities can be retained and reused, while inadequate capabilities can be refined, reconfigured, combined differently, or newly developed. Reusable capabilities can subsequently contribute not only to budget analysis but also to other occupations requiring related financial, analytical, communication, and decision-support skills.

For a budget analyst, working effectively with agentic AI therefore means treating AI as a powerful complementary capability that can be integrated into everyday professional routines while maintaining human control of occupational responsibilities. Through appropriate skill selection, competition, collaboration, evaluation, and continuous improvement, budget analysts and agentic AI can work together to achieve financial planning and resource management that are more efficient, scalable, adaptive, and reliable.