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Business Functions

Every Xither item tagged to Business Functions. Narrow further by topic cluster, technology, business function, industry, or content type.

76 items in Business Functions

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Insight
AI in product management: 11 workflows that have already changed
AI has already changed product management, but unevenly. The workflows that genuinely shifted are the language-heavy ones — synthesizing feedback, summarizing research calls, drafting PRDs and release communication — because that is where controlled experiments show large, repeatable gains. Prioritization scoring and experiment interpretation remain assistive. This piece maps eleven workflows, grades each against the evidence, and tells you where to start.

Use Case

AI in facilities management: 10 use cases for the connected workplace

The best-documented result in AI for building operations reduced data-center cooling energy by up to 40 percent — inside the most heavily instrumented buildings on earth. This guide ranks ten facilities AI use cases by how well they survive contact with an ordinary commercial portfolio, and gives facilities and real-estate leaders a buy order grounded in verifiable evidence rather than vendor decks.

Employee Service Agents: HR Help Desks, Onboarding, and IT Support

Employee service agents — HR help desks, onboarding orchestration, and IT support — are the most tractable internal agent deployments: demand is repetitive, the answers are already written down, and the systems of record expose APIs. The decision that matters is the line between answering and acting: buy the answer layer from the suite you already own; govern the action layer — resets, provisioning — like production identity infrastructure.

AI for HR and Talent: Recruiting, Performance, Retention, and Compliance

AI now touches every stage of the employee lifecycle: screening candidates, drafting performance reviews, predicting attrition, and recommending internal moves. The technology is mature enough to buy; the evidence base and the law are what should shape how you buy it. This guide maps the four HR AI workloads, the evaluation questions that matter for each, and the compliance layer that spans them all.

AI in Finance and Procurement: FP&A, AP Automation, and Source-to-Pay

Finance is where AI's efficiency promise meets the enterprise's hardest control environment. This guide maps the three lanes where AI is actually working in the office of the CFO — FP&A forecasting, accounts payable and expense automation, and source-to-pay procurement — and the sequencing, platform, and SOX-grade control decisions each one forces.

AI for Customer Service and Success: Agentic Support, Health Scoring, and Sentiment

Customer service is the rare AI use case with a randomized field experiment behind it: a generative assistant raised support-agent productivity 15% on average, with novices gaining most. The decisions that matter now are altitude (assist, deflect, or act), the escalation contract with humans, and whether service signal flows back into renewals and product.

The Unified GTM AI Stack: ABM, Lead Routing, and Predictive AI for Customer-Facing Teams

Most firms adopt GTM AI as scattered point tools, and federal survey data shows adoption stays narrow — most adopters use AI in three or fewer business functions. The durable alternative is a unified GTM stack built in four layers: resolved identity, predictive scoring, orchestrated routing, and service analytics that feed the loop. This guide covers each layer, the build order, and where unification honestly breaks down.

AI for Sales Teams: SDR Agents, Conversation and Revenue Intelligence, Forecasting, and Proposals

Sales and marketing is the business function where firms deploy AI most often — and the one where vendor claims outrun public evidence by the widest margin. This guide maps the five sales-AI workloads, states what verifiable evidence supports each, and gives a sequencing plan: adopt assistive coaching and drafting first, pilot scoring and forecasting against your own baseline, and treat autonomous outreach as an experiment with kill criteria.

AI for Marketing: Content, Email, SEO, Social, and Analytics

Sales and marketing is the most common business function where AI-adopting firms deploy the technology, and the tool market is correspondingly crowded. This guide maps the five marketing lanes where AI is actually working — content, email, SEO, social, and analytics — and the architecture, procurement, and compliance decisions each one forces.

AI Across Regulated Industries: Adoption Benchmarks and Cross-Sector Lessons

The assumption that regulated industries trail on AI does not survive contact with the adoption data. Finance and insurance adopt at well above the national rate, and large professional-services firms sit near the top of the distribution. This comparison benchmarks adoption across finance, healthcare, and professional services, maps what actually gates deployment in each sector, and extracts the governance lessons that transfer.

AI Upskilling the Enterprise Workforce: Training Programs and Roadmaps

The strongest evidence on generative AI at work says the training budget belongs with the broad middle of the workforce, not just specialists: measured gains are largest for less-experienced workers. Build role-based tracks anchored in real workflows, teach prompting from vendor documentation, and measure work outcomes — not course completions.

AI Change Management and Adoption: Overcoming Resistance and Measuring Uptake

AI programs rarely fail at procurement; they fail at adoption. This guide gives enterprise leaders a working playbook for the human side of AI rollouts: diagnosing fear, skepticism, and inertia; running communications, champions, and early-win programs that actually change behavior; and measuring uptake with an instrumentation ladder that separates real adoption from login theater.

AI Vendor Evaluation Worksheet

Track up to a dozen AI vendors against the dimensions that matter at procurement time. Add rows as you progress; export the table to CSV when you're ready to share with stakeholders.

InsightPredictive AI in Treasury & Finance

AI in Treasury: The Use Case Map for Cash, Capital, and FX

A structured map of where AI is genuinely useful across corporate treasury — from cash forecasting and in-house banking to FX, debt issuance, and short-term investments.

TopicDecision Intelligence

AI in Pricing: A Modern Pricing Stack, Use Case by Use Case

A buyer's map of where AI fits across the pricing lifecycle — from list price setting to deal-desk overrides — and what to ask vendors before you commit.

InsightAI Risk Management

AI in internal audit: the modern audit plan, powered by models

AI is reshaping every phase of the internal audit lifecycle — from risk scoping and sampling to fieldwork automation, anomaly detection, and continuous monitoring. This deep dive examines the use cases gaining traction, the vendor categories enabling them, and the questions audit leaders should be asking before they buy.

InsightAI Risk Management

AI in Risk Management: From Detection to Decision

A buyer's guide to enterprise AI across credit, operational, market, and emerging risk — where the technology is mature, where it is not, and how risk leaders should evaluate vendors.

InsightAI in Financial Services

AI in compliance: 13 use cases across financial crime, conduct, and regulatory affairs

A structured map of how AI is being applied across financial crime prevention, conduct risk, and regulatory affairs—covering what data each use case needs, which vendor categories address it, and what outcomes compliance leaders should expect.

TopicPredictive AI in Supply Chain

AI in supply chain: plan, source, make, deliver—reinvented

A SCOR-aligned map of supply chain AI use cases, from demand sensing to last-mile delivery, with decision rights, vendor categories, and buyer questions for each.

Best ListEnterprise AI Readiness & Adoption

AI in operations: 15 use cases for plants, service ops, and back office

A ranked, decision-ready guide to the 15 most mature AI use cases across plant operations, service operations, and back-office functions — with selection criteria, vendor categories, and demo questions for each.

AI in R&D: 12 use cases across the innovation funnel

From ideation through launch readiness, AI is reshaping how R&D teams generate hypotheses, prioritize experiments, manage IP, and bring innovations to market. This guide maps 12 concrete use cases across the full innovation funnel, with selection criteria and vendor category guidance for enterprise buyers.

TopicAgentic AI in Procurement

AI for procurement: the full source-to-pay use case atlas

A practitioner's atlas of AI applications across the full source-to-pay cycle — from spend analytics and supplier sourcing through contract management, requisitioning, and accounts payable. Built for procurement leaders evaluating where AI creates durable operational value versus where the hype outruns the tooling.

InsightAgentic AI in Legal & Compliance

AI in legal operations: from intake to spend management

Generative AI and intelligent automation are reshaping how legal departments handle matter intake, contract review, knowledge management, and outside counsel spend. This deep dive maps the use cases, vendor categories, and evaluation questions that matter most for legal ops leaders.

Best ListAgentic AI in Marketing

AI in marketing: 16 use cases across brand, demand, and lifecycle

A structured map of 16 production-ready AI applications across brand, demand generation, and customer lifecycle — with vendor categories, data requirements, and the questions every marketing leader should ask before committing budget.

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