Use Cases That Show Real Business Impact
Representative projects showing how CONAIS modernizes internal platforms, automates repetitive work, and delivers measurable outcomes across digital workplace, AI, workflow, and innovation initiatives.
Modernizing the intranet for a multinational telecom group
A telecom enterprise was operating with fragmented portals, inconsistent content structures, and outdated internal communication patterns. The goal was to replace local workarounds with one modern employee experience.
Large telecom organization with 50,000+ employees, multiple business units, multilingual publishing requirements, and strong governance needs across regions.
Internal information was spread across disconnected systems, adoption of the legacy intranet was weak, and teams lacked a shared structure for publishing, search, and ownership.
The organization moved to a clearer SharePoint Online workplace with stronger governance, better searchability, and a more consistent employee experience at global scale.
What CONAIS delivered
- Redesigned the information architecture around shared templates, metadata, and governance standards.
- Built focused departmental hubs for teams such as HR and IT to reduce duplication and improve discoverability.
- Supported regional publishing within one global framework so countries could localize without breaking consistency.
AI Catalog Optimization: 52,000 Products Enriched for a Multi-Brand Retailer
A multi-brand retailer was managing a very large product catalog with incomplete data, inconsistent taxonomy, and weak Google Shopping readiness. Manual enrichment at that scale was too slow and too expensive.
Multi-brand e-commerce retailer with 52,000+ SKUs across dozens of categories, struggling with incomplete product data and poor Google Shopping performance.
The catalog lacked consistent descriptions, metafields, and taxonomy coverage. Fixing that product-by-product by hand would have required a major operational effort.
AI Vision analyzed product images and generated descriptions, metafields, and taxonomy mappings for the full catalog with built-in review and approval workflow.
What CONAIS delivered
- Processed the entire catalog through AI-driven enrichment instead of relying on manual copy and tagging work.
- Generated structured product descriptions, metafields, and taxonomy mappings at scale.
- Added review and approval steps so teams could validate outputs before publishing.
Making expert knowledge usable for operational teams
Valuable internal know-how existed, but most of it lived inside specialist teams and documentation sets that were too technical for wider business use.
Distributed teams with expert engineering knowledge, onboarding pressure, and a need to serve specialists and non-specialists across several regions.
Technical content was hard to find, harder to understand, and rarely structured for real daily usage by customer-facing or operational teams.
The client gained better knowledge accessibility, faster onboarding support, and a clearer bridge between expert content and operational execution.
What CONAIS delivered
- Structured expert material inside a governed knowledge portal with tagging, search, and clearer ownership.
- Created a second layer of role-based content so non-expert teams could access simpler operational guidance.
- Used AI-assisted transformation workflows to convert dense documentation into more usable internal pages.
Replacing manual equipment requests with guided approvals
Repeated equipment requests were creating unnecessary admin work, inconsistent approvals, and limited visibility into who needed what and why.
Large organization with frequent IT asset requests, several approvers, and a need for cleaner tracking, justification, and internal accountability.
The process depended on manual reviews, fragmented communication, and inconsistent decision quality, which slowed fulfillment and increased coordination effort.
The workflow became easier to manage, approvals moved faster, and the solution could be reused across departments without rebuilding the process each time.
What CONAIS delivered
- Built dynamic forms that adapt to request type, requester role, and approval logic.
- Added AI-assisted suggestions to improve completeness and consistency before requests move forward.
- Automated routing, comments, and request status visibility inside the Microsoft 365 ecosystem.
Helping cargo brokers act faster on relevant email traffic
Cargo brokers were spending too much time sorting through inboxes manually, which delayed responses and made it easier to miss commercially important opportunities.
Cargo brokerage and forwarding teams working with time-sensitive offers, vessel matching, and high daily message volume under strong commercial pressure.
High email volume was slowing down opportunity detection, creating manual fatigue, and increasing the risk of missed deals or weak response times.
The team reduced manual inbox work, surfaced relevant opportunities faster, and improved response speed in a highly competitive operating environment.
What CONAIS delivered
- Introduced continuous inbox monitoring to detect relevant messages without waiting for manual review.
- Applied AI logic to compare incoming cargo details with operational fit and commercial relevance.
- Flagged high-priority opportunities quickly so brokers could focus on quoting and follow-up action.
Giving innovation teams a faster way to evaluate new ideas
Early-stage ideas were being discussed without a consistent evaluation framework, which made it difficult to compare opportunities before spending time or money.
Founders, internal innovation teams, and product leads who need faster go or no-go decisions before allocating budget, technical effort, or external advisory spend.
Validation was too slow, too subjective, or too expensive, leaving teams without a structured way to assess feasibility, market fit, or AI readiness.
Teams gained a faster and more consistent evaluation method, reducing wasted validation effort and improving early-stage decision quality.
What CONAIS delivered
- Built a lightweight intake flow that captures the commercial and operational basics of an idea.
- Generated AI-based scoring with structured reasoning instead of informal opinion or generic encouragement.
- Returned practical next steps so teams could refine, pause, or reject ideas more confidently.
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