AI Agents & Frameworks

Every Xither item tagged to AI Agents & Frameworks. Narrow further by topic cluster, technology, business function, industry, or content type.

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Use CaseAgentic AI in Finance
Agentic AI in treasury: cash visibility and autonomous liquidity moves
Treasury teams are moving past static reporting into agentic AI systems that monitor cash positions in real time, recommend FX hedges, and execute intraday liquidity moves within defined guardrails. This deep dive maps the use cases, the architectural requirements, and the questions treasury leaders should be asking before they hand an agent any execution authority.
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AI Agents & Frameworks — Insights, Guides, Use Cases & More | Xither | Xither

AI Agents & Frameworks

Every Xither item tagged to AI Agents & Frameworks. Narrow further by topic cluster, technology, business function, industry, or content type.

90 items in AI Agents & Frameworks

Filters

Use CaseAgentic AI in Finance
Agentic AI in treasury: cash visibility and autonomous liquidity moves
Treasury teams are moving past static reporting into agentic AI systems that monitor cash positions in real time, recommend FX hedges, and execute intraday liquidity moves within defined guardrails. This deep dive maps the use cases, the architectural requirements, and the questions treasury leaders should be asking before they hand an agent any execution authority.
Insight

Agentic AI in Customer Service

Agentic AI in customer support: when tickets resolve themselves

Multi-step agent architectures are moving customer support beyond scripted deflection toward genuine autonomous resolution—handling refunds, entitlement checks, and order lookups without human intervention. This piece examines the architecture, the trust patterns, and the operational decisions that separate reliable deployments from expensive failures.

Use CaseAgentic AI in Marketing

Agentic AI in marketing: from campaign brief to multichannel execution

Agentic AI systems can now take a campaign brief and carry it through audience segmentation, content creation, channel scheduling, and performance optimization with minimal human intervention. This piece examines how that pipeline actually works, where governance must intervene, and what separates a productive autonomous agent from a brand-safety liability.

InsightAgentic AI in Finance

Agentic AI for finance teams: autonomous workflows from close to forecast

Autonomous AI agents are moving into the finance function—handling reconciliations, drafting variance commentary, and maintaining rolling forecasts without waiting for human prompts. This piece examines where agentic workflows are production-ready today, where the risk of removing human judgment is too high, and what finance leaders need to evaluate before deploying.

ComparisonAgentic AI Frameworks

Agentic AI vs. RPA: A use case comparison framework

RPA excels at deterministic, rules-based workflows. Agentic AI handles ambiguity, multi-step reasoning, and dynamic decision-making. Knowing which to deploy—and when to layer both—is now a core enterprise automation competency.

InsightAgentic AI Frameworks

Agentic AI for operations leaders: when should you trust an agent?

A practical framework for operations leaders to evaluate which workflows are genuinely ready for agentic AI, which need guardrails first, and which should stay human-led — with criteria, red flags, and demo questions for vendor evaluations.

Best ListAgentic AI Frameworks

Agentic AI: 25 enterprise use cases that have crossed the pilot threshold

Multi-step AI agents are moving beyond proof-of-concept into live enterprise workflows. This ranked guide covers 25 use cases—organized by function and process complexity—that have demonstrated production viability, with selection criteria, capability comparisons, and buyer questions to guide evaluation.

Best ListRAG Pipelines & Patterns

10 Tools for Building Agentic RAG Systems

Agentic retrieval-augmented generation (RAG) systems combine dynamic information retrieval with autonomous agent capabilities, improving decision-making and contextual understanding. This listicle reviews 10 prominent tools, covering open-source frameworks and commercial platforms, useful for building and deploying agentic RAG architectures.

Best ListRAG Pipelines & Patterns

10 Use Cases Where Agentic RAG Outperforms Standard RAG

Agentic Retrieval-Augmented Generation (RAG) introduces autonomous decision-making components that enhance traditional RAG. This listicle identifies 10 specific enterprise use cases where Agentic RAG delivers measurable improvements over standard RAG, citing benchmarks and real-world examples.

InsightAgentic AI Frameworks

12 Ways Enterprise Agents Fail (and How to Prevent Them)

Enterprise AI agents face distinct failure modes that hinder reliability and safety. This listicle identifies 12 common failure patterns and provides mitigation strategies rooted in current best practices and research.

ComparisonAgentic AI in Marketing

Account-Based Marketing Orchestration with AI Agents

This insight evaluates AI-driven orchestration capabilities in account-based marketing (ABM) platforms, focusing on 6sense and Demandbase. It discusses how AI agents automate account identification, engagement prioritization, and personalized outreach, comparing features, integration, and pricing models.

ToolAI Governance & Compliance

Agent Audit Report Template for Compliance Reviews

This interactive worksheet guides enterprise AI buyers and compliance teams through generating a structured agent audit report. It includes inputs for logging agent activities, compliance flags, and risk assessments, accompanied by sample logs to simulate real-world scenarios.

GuideAI Cost, FinOps & TCO

Agent Budget Controls: Setting Per-Agent and Monthly Spend Limits

This guide provides FinOps teams with actionable steps to implement budget controls for autonomous AI agents, focusing on setting per-agent and aggregate monthly spend limits. It outlines the rationale, architectural approaches, tooling options, and best practices to achieve cost governance without impairing agentic AI operations.

ToolAgentic AI Frameworks

Agent Framework Decision Wizard

Compare LangGraph, CrewAI, AutoGen, and MCP frameworks based on your enterprise's architecture needs, scale, and integration requirements. This interactive wizard guides platform leads and AI buyers through key decision factors to select an agent framework aligned with your use case.

ToolAI Vendor Selection

Agent Framework Vendor Evaluation Worksheet

A structured worksheet to assess and compare agent frameworks against 25 key criteria relevant for enterprise AI deployment and scalability.

ToolAI Governance & Compliance

Agent Governance Framework Template

This interactive worksheet helps enterprise AI teams define policies, assign roles, and establish workflows for agent governance and safety. Customize your framework for managing AI agents in production with structured input fields, calculators, and a governance readiness score.

GuideAI Governance & Compliance

Agent guardrails: Preventing harmful actions with allow/deny lists

This guide provides a detailed technical approach for enterprise AI teams to implement allow and deny lists as guardrails in agentic AI systems to prevent harmful actions and enforce policy compliance.

GuideAI Governance & Compliance

Agent Identity and Authentication: Service Accounts and OAuth for Agents

This guide outlines best practices for managing identity and authentication for autonomous AI agents within enterprise environments. It focuses on the application of service accounts and OAuth protocols to secure agents’ interactions with backend systems and APIs, aimed at IAM teams.

ToolAI Governance & Compliance

Agent Incident Response Playbook

Use this interactive checklist to guide your enterprise through structured incident response when autonomous AI agents behave unexpectedly or cause harm. Evaluate incident severity, assign stakeholders, and track remediation steps effectively.

InsightAgentic AI Frameworks

Agent Memory Patterns: Short-term, Long-term, and Episodic Memory

This insight analyzes memory architectures for conversational agents, differentiating short-term, long-term, and episodic memory patterns. It provides enterprise AI decision-makers with a structured understanding useful for selecting or designing agent frameworks optimized for context retention and statefulness.

GuideAgentic AI Frameworks

Agent Observability: Tracing, Logging, and Debugging Multi-Step Runs

This guide covers the core practices and tools for achieving observability in AI agents executing multi-step workflows. It focuses on tracing, logging, and debugging techniques tailored to complex agentic AI architectures to aid enterprise buyers and technical leads in maintaining reliability and performance.

InsightAI Security

Agent Permissions Models: Least Privilege for Autonomous Systems

This analysis evaluates permissions models for agentic AI systems, focusing on implementing least-privilege access controls to mitigate risk. It examines current IAM approaches, outlines challenges specific to autonomous agents, and proposes strategies to enforce minimal necessary permissions at runtime.

ComparisonAgentic AI Frameworks

Agent Planning Algorithms: ReAct, Plan-and-Execute, and Reflexion

This insight examines three prominent agent planning algorithms—ReAct, Plan-and-Execute, and Reflexion—highlighting their architectures, reasoning approaches, and suitability for enterprise AI applications requiring multi-step decision-making and task execution.

InsightAgentic AI Frameworks

Agent Registry and Discovery: Managing Many Agents Across the Enterprise

Enterprises deploying agentic AI face complex challenges in managing distributed autonomous agents. Agent registries and discovery mechanisms address these challenges by cataloging agents, standardizing metadata, and enabling governance at scale. This essay examines key considerations and current practices in enterprise agent catalog management.

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Agentic AI in treasury: cash visibility and autonomous liquidity moves

Agentic AI in treasury: cash visibility and autonomous liquidity moves

Agentic AI in customer support: when tickets resolve themselves

Agentic AI in marketing: from campaign brief to multichannel execution

Agentic AI for finance teams: autonomous workflows from close to forecast

Agentic AI vs. RPA: A use case comparison framework

Agentic AI for operations leaders: when should you trust an agent?

Agentic AI: 25 enterprise use cases that have crossed the pilot threshold

10 Tools for Building Agentic RAG Systems

10 Use Cases Where Agentic RAG Outperforms Standard RAG

12 Ways Enterprise Agents Fail (and How to Prevent Them)

Account-Based Marketing Orchestration with AI Agents

Agent Audit Report Template for Compliance Reviews

Agent Budget Controls: Setting Per-Agent and Monthly Spend Limits

Agent Framework Decision Wizard

Agent Framework Vendor Evaluation Worksheet

Agent Governance Framework Template

Agent guardrails: Preventing harmful actions with allow/deny lists

Agent Identity and Authentication: Service Accounts and OAuth for Agents

Agent Incident Response Playbook

Agent Memory Patterns: Short-term, Long-term, and Episodic Memory

Agent Observability: Tracing, Logging, and Debugging Multi-Step Runs

Agent Permissions Models: Least Privilege for Autonomous Systems

Agent Planning Algorithms: ReAct, Plan-and-Execute, and Reflexion

Agent Registry and Discovery: Managing Many Agents Across the Enterprise