AI audit for business: scan or audit
Compare a free process scan with a paid AI audit. See what each includes, when deeper analysis helps and what you receive before a build.
Start with the problem you need to solve. Explore team training, agents, automation, internal knowledge, custom models and alternatives to costly software.
Compare a free process scan with a paid AI audit. See what each includes, when deeper analysis helps and what you receive before a build.
An AI agent’s cost depends on the work it must complete and who is responsible when that work goes wrong. To compare proposals, also establish the integrations, data preparation, acceptance criteria and ongoing operating costs. A product label alone cannot define a comparable purchase.
Calculate an AI-agent business case from current handling time, quality cost, implementation, operation and review. Use scenarios that a process owner can explain.
Choose an AI implementation partner by examining how it connects your business problem with a deliverable, evidence of performance and responsibility after launch. Ask the team to walk through a comparable process, its evaluation approach and the operating agreement. You can assess these points even without an internal AI engineering team.
A buyer guide for security teams choosing AI for alert enrichment, correlation and approved response workflows while analysts keep judgment and accountability.
A practical guide to consent-aware recommendations and ranking tests. Define the data, guardrails, holdout measurement, and human controls before expanding personalization.
A practical guide for insurers deciding which case-handling tasks to automate, which systems to connect and where an experienced reviewer must remain in control.
Computer vision can support a defined inspection point when the defect is visible, the image conditions are controlled, and a quality owner can review uncertain cases. This guide helps you decide whether to pilot it.
A practical guide to deciding whether a plant has the data, maintenance process and response capacity for an AI predictive-maintenance workflow.
Eurostat reported AI use by 8.4% of Polish enterprises with at least 10 employees in 2025. Use the figure as market context, then assess one process with your own baseline.
An inventory agent can prepare forecasts and reorder suggestions from sales, stock, supplier and promotion data. Decide whether the data and approval process are ready.
Choose one reporting workflow for AI with named sources, deterministic checks, finance approval, and a traceable close.
Use an AI agent to organize compliance alerts and prepare evidence for an analyst. Keep risk decisions, escalation and case closure with accountable staff.
Use an AI agent for a bounded pull-request pass, with repository context, evidence and human ownership of merge, architecture and security decisions.
A practical buyer guide to an AI content workflow: collect approved sources, prepare briefs and drafts, adapt assets, and keep strategy, facts, rights and final publication with the responsible team.
Use an AI agent to assemble approved lead context and draft outbound messages. Keep source accuracy, contact rules and final sending with the sales team.
Use an AI agent for first-touch BANT qualification when questions, scoring, routing and CRM ownership are agreed. Keep sales judgment and commitments with people.
Coordinate onboarding tasks across HR, IT, managers and new employees with visible ownership, approved information and a clear route for sensitive questions.
An AI recruitment workflow can extract evidence, flag missing information and prepare a recruiter queue while people own candidate decisions and communication.
A practical guide to an e-commerce agent that reads order state, prepares returns, collects complaint details and routes exceptions. Learn when a chatbot is enough and where human approval belongs.