Content assistance
Explore drafting, rewriting and preparing content for CMS and enterprise media.
netacoNetaco • AI
AI as a development direction across Netaco
AI research at Netaco extends beyond one product. We explore content, organizational knowledge and analytics through real problems, pilots and human oversight.
The objective is to improve a specific task, not simply attach an AI label. Drafting content, finding answers in permitted sources and assisting performance analysis are directions whose value must be measured with real data and users.
This section describes research and development directions. RAG, assistants and software agents become product commitments only after scope, evaluation, data access and operating conditions are defined. Released features are described in the relevant product version or formal project proposal.
The topics in this section are research and development directions. Released capabilities and pilot scope are specified for each product version.
Netaco
Research and development
Organizational knowledge search
Evaluate intelligent search and RAG over permitted sources with references and access controls.
netacoAnalytics and recommendations
Study support for learning reports, content performance and recommendations that people can review.
netacoControlled automation
Explore workflows and AI agents with bounded access, action approval and recorded outcomes.
netacoNetaco
Applications across the portfolio
SignagePlus provides a setting for content and scheduling pilots. Netaco LMS creates opportunities to explore resource quality, knowledge discovery and learning analysis. CMS and News Crawler offer research directions in content preparation, categorization and source access. These connections do not imply that all capabilities are included in current releases; each scenario needs a defined need and measurable agreement.
Netaco
A pilot with acceptance criteria
Define the task and examples of acceptable output before choosing a model. Evaluation should cover routine questions, difficult cases and invalid answers. Assess quality, response time, usage cost and human review effort together. A successful pilot establishes what can be relied on, when people must take over and which data must stay outside the workflow.
Netaco
Enterprise trust starts with control
Identify data sources, access permissions and approval owners. Generated output needs review, particularly before public publication or automated actions. Model hosting and data retention are assessed in the technical proposal. Agentic AI describes a direction for evaluating automation; unrestricted, untraceable actions are not a design objective.
Netaco
Articles and guidesRelated articles
Measuring an AI signage pilot with useful evidence
Evaluate AI signage pilots with a baseline, operational measures, minimal aggregate data, fair comparisons and clear criteria for expansion or revision.
Read articleAI-assisted content workflows for enterprise signage
Plan an AI-assisted signage workflow covering briefs, approved data, human review, brand controls, publication rollback and measurable pilot outcomes.
Read articleFrequently asked questions
Are these features active in every product today?
The topics in this section are research and development directions. Released capabilities and pilot scope are specified for each product version.
Can we propose a specific pilot?
Yes. Describe the task, permitted sample data, expected output and success criteria for feasibility and pilot scoping.
Netaco / Talk to Netaco
Request a consultationLet’s design what comes next
Tell us what your organization needs. The right solution begins with a clear understanding of the challenge.