BUSINESS & STRATEGY

OKR (Objectives and Key Results)

Business & Strategy

Definition

OKRs are a goal-setting framework that combines ambitious objectives (Objectives) with measurable results (Key Results). For example: Objective 'Automate customer service', Key Results 'Reduce average response time by 60%' and 'Handle 40% of tickets without human intervention'. OKRs align the team on the company's AI priorities.

Related terms

Business & Strategy

KPI (Key Performance Indicator)

KPIs are key metrics that measure the performance of a process, department, or company against objectives. For AI projects, typical KPIs include: average response time, error rate, volume of documents processed, hours saved per month, conversion increase. Defining clear KPIs before implementing AI is essential to measure its success.

Business & Strategy

AI Roadmap

An AI roadmap is the strategic plan defining how an organization will adopt AI over time. It includes prioritization of use cases, timeline, budget, required resources, and milestones. A good AI roadmap for SMEs starts with quick wins (simple automations with fast ROI) and progresses toward more advanced solutions (AI agents, predictive analytics).

Business & Strategy

Change Management

Change management is the set of strategies for managing organizational change introduced by new technologies like AI. It includes communication, training, managing resistance, and supporting employees. Many AI projects fail not for technical reasons but because the team was not prepared and involved. Change management accounts for 50% of success.

EXPLORE

More terms in Business & Strategy

Digital Transformation

Digital transformation is the process of integrating digital technologies into all areas of a business to improve operations, customer experiences, and business models. It is not just about adopting new software: it is about rethinking processes and corporate culture. AI is today the primary accelerator of digital transformation for Italian SMEs.

ROI (Return on Investment)

ROI measures the return on an investment relative to its cost. For AI projects, ROI is calculated by comparing benefits (time savings, error reduction, increased sales) with costs (licenses, development, training). A well-planned AI project for an SME should show positive ROI within 3-6 months of implementation.

TCO (Total Cost of Ownership)

TCO is the total cost of owning a technology solution, including not just the purchase price but also implementation, training, maintenance, upgrades, and ongoing operational costs. For AI solutions, TCO includes API costs, cloud infrastructure, dedicated staff, and model maintenance. It is essential for realistic comparisons.

MVP (Minimum Viable Product)

An MVP is the minimum but functional version of a product or service, launched to validate a hypothesis with minimal investment. For AI projects, an MVP might be a chatbot that handles the 10 most frequent FAQs, or an automatic classification system for a single document type. Start small, measure, and scale.

POC (Proof of Concept)

A POC is a small-scale pilot project to demonstrate the technical feasibility and value of a solution before investing in full implementation. A typical AI POC lasts 2-4 weeks, uses a subset of real data, and produces concrete metrics. It is the safest way for SMEs to validate AI before committing significant budget.

Scalability

Scalability is the ability of a system or process to handle increasing volumes without degrading performance or requiring proportionally increasing costs. A scalable AI system can go from 100 to 10,000 documents processed per day without redesign. Scalability is one of AI's main promises: once built, the marginal cost per unit decreases.

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