Brief of January 2026

Hello,

This issue is dedicated to the first AI guide for B2B of 2026 The manual is available online and will be released in PDF format (200 pages) with priority access for subscribers. We deliver engineering, not magic.

INDICATORS

Why adopt AI in Sales?

Companies that use AI for personalization generate up to 40% more revenue, while 75% of B2B customers expect proactive offers. In addition, junior sales agents assisted by AI see performance gains of up to 20%, and the average e-commerce order value increases by 15%.

FOR CTOs AND IT ARCHITECTS

Why hybrid architecture?

From our experience, we illustrate a middleware between a company’s legacy software (e.g. ERP) and cloud-based AI technologies. It can run on-premise or in the cloud and controls which information is exposed to AI and which stays within a separate perimeter, ensuring compliance with ISO 27001, GDPR, or NIS2.

FOR CFOs

AI Budgeting 

Among the barriers to AI adoption is the lack of a clear view of the real costs and the internal and external roles required for implementation. In this guide, we address both directly, with a strong focus on the need for data cleansing within the organization.

IN ADDITION TO THE NEW GUIDE

Strategies and Echoes (from Romania)

“The WhatsApp Economy” — media coverage and commentary (Wall-Street, Revista Biz, Agerpres)

The business press has already picked up the signals from our “B2B Architecture 2026” study. In the age of AI speed, companies are operating on outdated ERP systems, filled with cryptic abbreviations (e.g. “Rob. buc. cr.”). See what Wall-Street writes about “The WhatsApp Economy.”

Marian Călborean in Forbes Romania: “2025 was the Year of 'Post-waiting', 2026 will be the Year of System Architects”

Forbes Romania invited PhD. Marian Călborean, Manager of OPTI Software, to contribute to the “Lessons for 2026” feature.

The discussion focused on the shift from services to products and the real impact of AI on the labor market.

Why Hybrid Architecture Requires Cloud Expertise. Plus, more on the Google Cloud ecosystem

The ecosystem is divided between global consultancies (large-scale projects with complex governance), large local players (specialized in long-term engagements), and specialized, agile teams (ideal for scalability). What matters is the logic of the company, not the AI model they use.

See more guides and case studies on our News page or schedule a free consultation. 

To receive the 200 page guide in PDF format, visit the guide page.