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    Tuesday, October 20, 2026

    AI Use Cases

    Finance-first Koko playbooks + Microsoft Copilot scenarios across every function

    Showing 59 use cases
    How we classify AI: what it is built from, and what it may do alone
    1 · What is it built from?
    1. 0 · Rules & automation (0 use cases)The rule is stable, written down, and someone owns it. High volume, low variance, clear inputs.
    2. 1 · Predictive ML (2 use cases)You need a number or a class from patterns in your own data: risk of late payment, attrition risk, spend anomaly.
    3. 2 · Single model call (16 use cases)Bounded language work with no lookup and no follow-up: draft, extract fields, classify, translate, summarize.
    4. 3 · Retrieval-grounded assistant (23 use cases)The answer exists in your documents and the user needs it grounded and cited. Read-only.
    5. 4 · LLM workflow (13 use cases)The sequence of steps is knowable in advance and a human can write it down, but individual steps need language judgment.
    6. 5 · Bounded single agent (5 use cases)The path is genuinely not knowable in advance, the evidence is unstructured, and judgment is required to decide what to look at next.
    7. 6 · Multi-agent system (0 use cases)Genuinely separate goals, owners or trust domains — most often when the counterparty is a different organization.

    Not a maturity model: a use case sits on the lowest rung that does the job. Rungs 0 to 4 follow steps a person wrote down; from rung 5 the model chooses part of the sequence.

    2 · What may it do without a person?
    • T0 · Suggest Surfaces information, ranks, or recommends. Changes nothing.
    • T1 · Draft Produces a complete output for a human to review and release.
    • T2 · Act on exception Acts unattended on the confident majority; routes the rest to a human.
    • T3 · Act and notify Acts within limits and reports afterwards. Reversible actions only.
    • T4 · Act autonomously Acts within an explicit envelope with no per-case notification.
    When to use which
    • Arithmetic, matching on keys, thresholds, postings, schedules: Rules. A language model never does the math; it writes the code, or reads the result.
    • A score or forecast from patterns in your own history: Predictive ML, validated and monitored for drift.
    • Reading, drafting, extracting, summarizing or classifying language: Generative AI, with a human reading the output before it counts.
    • The answer lives in your documents: Retrieval first, then generate. Cite the source or abstain.
    • The steps are known in advance, even if several use a model: A workflow (rung 4). Testable end to end.
    • The next step genuinely cannot be known until the work is under way: An agent (rung 5), with tool limits, loop limits and an authority matrix.
    Aligned to

    Anthropic: Claude Certified Architect – Foundations (CCAR-F) · OpenAI: OpenAI agent guidance (Agents SDK, Codex, OpenAI Academy) · Google Cloud: Generative AI Leader · Microsoft: AI-901 (Azure AI Fundamentals) and AB-100 (Agentic AI Business Solutions Architect).

    Microsoft calls any Copilot Studio bot an agent, including prompt-and-response agents that sit at rung 2 or 3, and Google's ADK calls its fixed-order orchestrators “workflow agents” (rung 4). Koko Knows follows the line Anthropic and OpenAI draw: a system is an agent only when the model chooses part of the sequence at runtime, which is rung 5 and above. Anthropic lists orchestrator-workers among its workflows; because the orchestrator picks the subtasks at runtime, Koko files it at rung 5.

    Record-to-Report

    Flux Analysis & Variance Narratives

    Draft traceable explanations for every material P&L and balance-sheet swing at close.

    LLM workflowSpeedQualityMedium effort
    Days-to-close: −40–60% decision latency on commentary
    Record-to-Report

    Account Reconciliation Triage

    Auto-match the clean reconciliations and route only the genuine breaks to humans.

    LLM workflowSpeedCash / Working CapitalMedium effort
    Auto-execution (STP) share: 60–80% of actions
    Record-to-Report

    Close Command Center

    Track the close checklist across entities and surface blockers by exception.

    LLM workflowSpeedRisk & ControlHigh effort
    Days-to-close: −40–60% decision latency
    Treasury & Liquidity

    Cash Flow Forecasting (multi-horizon)

    Roll expected L2C and S2P flows into a liquidity forecast by horizon.

    LLM workflowCash / Working CapitalMedium effort
    Forecast decision latency: −60–80%
    Lead-to-Cash

    Collections Prioritization & Dunning

    Score overdue accounts and propose outreach to compress DSO.

    LLM workflowCash / Working CapitalRevenueMedium effort
    CCC reduction (DSO): 20–35% of baseline
    Lead-to-Cash

    Dispute / Deduction Resolution

    Triage and validate AR disputes that drive write-offs.

    LLM workflowCash / Working CapitalQualityMedium effort
    CCC reduction: 20–35% of baseline
    Lead-to-Cash

    Cash Application

    Match incoming payments to open invoices straight-through.

    LLM workflowCash / Working CapitalSpeedLow effort
    Auto-execution (STP) share: 60–80% of actions
    Source-to-Pay

    Touchless AP & Invoice Matching

    2/3-way match supplier invoices and auto-route only the exceptions.

    Predictive MLCost-to-ServeSpeedLow effort
    Auto-execution (STP) share: 60–80% of actions
    Source-to-Pay

    Contract & Clause Extraction

    Pull obligations, terms and price conditions from contracts into structured fields.

    LLM workflowRisk & ControlQualityMedium effort
    Audit-ready evidence time: 60–85% reduction
    Risk, Controls & Compliance

    Audit Evidence Assembly (ICFR/SOX)

    Auto-collect and map control evidence to objectives for audit-readiness.

    AgentRisk & ControlHigh effort
    Audit-ready evidence time: 60–85% reduction
    FP&A / Plan-to-Perform

    Driver-Based Re-Forecast

    Refresh the forecast from actuals and driver assumptions, with the changes explained.

    LLM workflowCash / Working CapitalSpeedMedium effort
    Forecast decision latency: −60–80%
    FP&A / Plan-to-Perform

    Scenario & Stress Testing

    Generate downside scenarios across revenue, rates, FX and working capital.

    LLM workflowCash / Working CapitalRisk & ControlMedium effort
    Decision latency reduction: 60–80%
    FP&A / Plan-to-Perform

    Board Reporting Pack

    Draft the CFO narrative and board slides from approved data.

    LLM workflowSpeedQualityLow effort
    Decision latency reduction: 60–80%
    Tax

    Tax Research Brief

    Assemble a cited tax-position brief from authoritative sources.

    Retrieval-grounded assistantSpeedQualityMedium effort
    Decision latency reduction: 60–80%
    Tax

    Tax Provision Support

    Draft provision workpapers and reconcile book-to-tax differences.

    LLM workflowQualityRisk & ControlMedium effort
    Rework reduction: 40–60%
    Treasury & Liquidity

    Payment Fraud & Anomaly Detection

    Score outgoing payments for fraud and anomaly before they release.

    Predictive MLRisk & ControlMedium effort
    Quality / accuracy lift: +25–40%
    Risk, Controls & Compliance

    Finance Policy Assistant

    Answer 'what's allowed?' from approved policies with citations.

    Retrieval-grounded assistantSpeedRisk & ControlLow effort
    Decision latency reduction: 60–80%
    Cross-functional

    Generate project status reports

    Keep stakeholders informed with clear, consistent status updates assembled from your raw notes.

    Claude.aiSingle model callSpeedQualityLow effort
    Low effort
    Cross-functional

    Analyze patterns in user feedback

    Extract themes, sentiment, and priorities from a pile of customer comments and survey responses.

    Claude.aiSingle model callQualitySpeedLow effort
    Low effort
    Cross-functional

    Package your brand guidelines in a skill

    Create a reusable Claude skill that applies your brand voice and standards to every draft.

    Claude.aiSingle model callQualitySpeedMedium effort
    Medium effort
    Sales

    Build a battle card library

    Create competitive battle cards that help your team handle objections and win deals.

    Claude.aiRetrieval-grounded assistantRevenueQualityMedium effort
    Medium effort
    Sales

    Prepare for sales deals

    Research prospects and organize your talking points before an important meeting.

    Claude.aiRetrieval-grounded assistantRevenueSpeedLow effort
    Low effort
    Sales

    Create sales reports

    Turn raw pipeline data into a clear, actionable report leadership can act on.

    Claude.aiSingle model callRevenueSpeedLow effort
    Low effort
    Marketing

    Analyze campaign performance

    Extract insights from campaign metrics to inform your next move.

    Claude.aiSingle model callRevenueQualityLow effort
    Low effort
    Marketing

    Adapt content across platforms

    Efficiently repurpose one piece of content for different channels and audiences.

    Claude.aiSingle model callSpeedQualityLow effort
    Low effort
    FP&A / Plan-to-Perform

    Build financial models

    Create and refine financial projections — driver logic, assumptions, and sensitivities.

    Claude.aiSingle model callQualitySpeedMedium effort
    Medium effort
    FP&A / Plan-to-Perform

    Draft investment memos

    Structure and write an investment analysis — thesis, risks, returns — more efficiently.

    Claude.aiSingle model callSpeedQualityMedium effort
    Medium effort
    FP&A / Plan-to-Perform

    Understand and extend an inherited spreadsheet

    Decode a complex spreadsheet you didn't build — then safely add new functionality.

    Claude.aiSingle model callSpeedQualityLow effort
    Low effort
    HR

    Create new hire onboarding guides

    Develop comprehensive onboarding materials tailored to each role.

    Claude.aiSingle model callSpeedQualityLow effort
    Low effort
    Legal

    Track discovery timelines and analyze patterns

    Organize a case timeline from documents and surface the patterns that matter.

    Claude.aiRetrieval-grounded assistantRisk & ControlSpeedMedium effort
    Medium effort
    Cross-functional

    Plan your literature review

    Organize your approach to reviewing academic sources before you start reading.

    Claude.aiSingle model callSpeedQualityLow effort
    Low effort
    Cross-functional

    Verify statistics from raw data

    Double-check calculations and statistical analyses against the underlying data.

    Claude.aiSingle model callQualityRisk & ControlMedium effort
    Medium effort
    Record-to-Report

    Reconcile financial data to accelerate period closing

    Use Copilot for Finance in Excel to reconcile accounts across customers and suppliers and produce a discrepancy report.

    Microsoft CopilotRetrieval-grounded assistantSpeedCost-to-ServeExtend effort
    KPI: Time to close
    FP&A / Plan-to-Perform

    Analyze business performance

    Streamline budget-vs-actual variance analysis and report findings with Copilot.

    Microsoft CopilotRetrieval-grounded assistantSpeedQualityBuy effort
    KPI: Decision-making speed
    Treasury & Liquidity

    Analyze cashflow variances

    Analyze cashflow patterns across a rolling average to understand seasonality and surface major variances.

    Microsoft CopilotAgentCash / Working CapitalSpeedBuy effort
    KPI: Operating cash flow ratio
    FP&A / Plan-to-Perform

    Intelligent sales forecasting

    Cleanse historical sales data and forecast annual sales using the Excel Analyst agent.

    Microsoft CopilotAgentRevenueQualityBuy effort
    KPI: Increase revenue
    Source-to-Pay

    Contract review

    Catch up on a contract's requests, extract key terms, and align stakeholders on recommendations.

    Microsoft CopilotRetrieval-grounded assistantCost-to-ServeRisk & ControlBuy effort
    KPI: Reduce spending
    Lead-to-Cash

    Collections coordination

    Surface outstanding invoices from the ERP and streamline customer collections communications.

    Microsoft CopilotRetrieval-grounded assistantCash / Working CapitalCost-to-ServeBuy effort
    KPI: Days sales outstanding
    Risk, Controls & Compliance

    Accounting document evaluation

    Track regulatory changes and update accounting standards documentation with Copilot.

    Microsoft CopilotRetrieval-grounded assistantRisk & ControlQualityBuy effort
    KPI: Cost savings
    FP&A / Plan-to-Perform

    Build a business case

    Assemble a project brief and financials to support an investment decision.

    Microsoft CopilotRetrieval-grounded assistantRevenueRisk & ControlExtend effort
    KPI: Revenue growth
    Risk, Controls & Compliance

    Automate financial query management

    A Copilot Studio agent answers common finance questions and logs them for quality control.

    Microsoft CopilotRetrieval-grounded assistantCost-to-ServeSpeedExtend effort
    KPI: Cost savings
    Risk, Controls & Compliance

    Finance Q&A agent

    A Copilot Studio agent resolves finance queries against ERP and policy data with compliance alignment.

    Microsoft CopilotRetrieval-grounded assistantCost-to-ServeSpeedBuild effort
    KPI: Cost per analysis request
    HR

    Improve onboarding and development

    Draft policies, learning materials, and onboarding plans to reduce time-to-productivity.

    Microsoft CopilotRetrieval-grounded assistantSpeedCost-to-ServeBuy effort
    KPI: Time to onboard
    HR

    Streamline benefits and compensation

    Research and model benefits/compensation changes, then collaborate and communicate decisions.

    Microsoft CopilotRetrieval-grounded assistantCost-to-ServeQualityExtend effort
    KPI: Employee experience
    HR

    Deliver insights to managers

    Help HR give managers feedback on team performance and share best practices.

    Microsoft CopilotRetrieval-grounded assistantQualityBuy effort
    KPI: Manager effectiveness
    Sales

    Accelerate customer research and sales preparation

    Research accounts, ideate, and draft outreach to improve customer interactions.

    Microsoft CopilotRetrieval-grounded assistantRevenueSpeedStart effort
    KPI: Revenue per seller
    Sales

    Respond to an RFP

    Increase the team's capacity to generate high-quality proposals in response to RFPs.

    Microsoft CopilotRetrieval-grounded assistantRevenueSpeedBuy effort
    KPI: Win rate
    Sales

    Improve customer meetings

    Prepare for, run, and follow up customer meetings to close more deals.

    Microsoft CopilotRetrieval-grounded assistantRevenueBuy effort
    KPI: Revenue per sale
    IT

    IT support agent

    Automate ticket intake, triage, and communication with an AI-powered support agent.

    Microsoft CopilotAgentCost-to-ServeSpeedExtend effort
    KPI: Application downtime
    IT

    General IT prompts

    Assist IT professionals with coding, research, and documentation via Copilot Chat.

    Microsoft CopilotSingle model callSpeedStart effort
    KPI: Engineer productivity
    IT

    Update technology strategy

    Research, draft, and refine the technology strategy document with Copilot.

    Microsoft CopilotRetrieval-grounded assistantQualitySpeedBuy effort
    KPI: Vendor spend
    Marketing

    Plan and develop a campaign

    Plan and develop campaign content, then adapt messaging from engagement feedback.

    Microsoft CopilotSingle model callRevenueSpeedBuy effort
    KPI: Campaign engagement
    Marketing

    Track campaign performance

    Analyze campaign engagement data and surface what to adjust.

    Microsoft CopilotSingle model callRevenueQualityExtend effort
    KPI: Marketing ROI
    Customer Service

    Resolve customer cases faster

    Lower resolution times and lift quality by helping agents find and apply answers.

    Microsoft CopilotRetrieval-grounded assistantSpeedQualityBuy effort
    KPI: Resolution time
    Customer Service

    Customer self-service agent

    Deflect routine inquiries with a Copilot Studio self-service agent.

    Microsoft CopilotAgentCost-to-ServeSpeedExtend effort
    KPI: Deflection rate
    Operations

    Streamline internal processes

    Automate and streamline internal operational processes to cut cost and risk.

    Microsoft CopilotLLM workflowCost-to-ServeSpeedExtend effort
    KPI: Process cycle time
    Operations

    Operational reporting and insights

    Pull operational data together and generate reports and insights faster.

    Microsoft CopilotSingle model callSpeedQualityBuy effort
    KPI: Decision-making speed
    Legal

    Quicker contract review

    Speed contract reviews by identifying requests, summarizing details, and aiding collaboration.

    Microsoft CopilotRetrieval-grounded assistantRisk & ControlSpeedExtend effort
    KPI: Contract cycle time
    Legal

    Legal strategy development

    Aggregate case history and suggest strategies for moving forward.

    Microsoft CopilotRetrieval-grounded assistantRisk & ControlQualityBuy effort
    KPI: Risk management
    Keep going — across the app