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GIA Studio banner: a laptop floating over a violet and blue glow shows the Studio Fy Contract dashboard, beside the GIA Studio logo with its concentric ring symbol.

GIA Studio

Creating a Shared Product Language for Enterprise AI

Period:
2025
Contribution:
Concept, Brand Identity and Product Design System

Case summary

For GBM’s internal AI initiatives, I created the GIA Studio concept, identity, shared product design system and original supplied Figma prototypes. The contribution established a common visual and interaction language for experiences with different operational purposes.

GIA Studio cover: the ring mark and wordmark over a dark violet-to-blue gradient, with the headline ‘One language. Every AI initiative.’ and two Voice of Customer interface mockups.

The idea behind GIA

GIA combines G, for GBM, with IA, the Spanish abbreviation for artificial intelligence. The concept connected identity, components and interface patterns rather than treating each initiative as an unrelated product.

GIA Studio logo on a light background: a concentric violet-to-blue ring mark beside the GIA Studio wordmark.

Expanding the brief

The initial interface-design request revealed a broader need: multiple AI initiatives risked fragmented experiences and repeated work. I proposed a shared foundation that could support different solutions without recreating their product language.

Brand application pairing the GBM corporate logo with large GIA Studio concentric ring graphics in the corners.

Designing a brand that could expand with the portfolio

An extensible identity architecture paired the master concept with initiative names through the GIA Studio | Initiative lockup. Prominent and compact configurations supported different contexts.

GIA Studio logo in its dark-background variant, with the concentric ring mark and white wordmark.

A shared foundation for AI solutions

I designed shared components and interaction patterns so varied applications could use a consistent visual foundation. Coordination with the internal client and Development aligned the system with each initiative’s requirements.

Interface component sheet: status chips, a progress bar, coloured metric badges, gradient and solid buttons, and a loading state using the GIA ring mark.
Close crop of the GIA Studio concentric ring graphic in violet and blue on a dark surface, used as a system-level visual element.

Application example — AI Assistant for L1

AI Assistant for L1 organized access to technical-support agents through a catalogue and conversational workspace, with a view of unanswered topics. The intended experience supported access to manuals and articles for first- and second-level technical work.

Application example — AI Extracción de Procesos

AI Extracción de Procesos adapted the shared system to document-processing executions. Project navigation, execution states and progress made the workflow legible, with standardized Excel outputs for extracted business information.

Voice of Customer — From feedback to operational follow-up

Voice of Customer connected feedback indicators with detailed records and survey follow-up. I designed the original interfaces and interaction patterns for navigating summaries, configuring metrics and managing operational tasks. Later evolution retains substantial original design work, with team adaptations for additional requirements.

Voice of Customer overview prototype on a desktop monitor: NPS, CSAT, sentiment and top intents cards, quick snapshot metrics, trend analysis chart and sentiment distribution donut.

Platform concept — Agents

The Agents concept proposed one workspace for accessing AI agents. It paired conversation with a reasoning view that represented the agent sequence as nodes with execution states.

Application example — IDQR

IDQR — ITSM Documentation Quality Review connected configurable evaluation criteria, criterion-level ticket scores and aggregated reporting. The interface supported movement from regional trends to individual documentation records.

Underlying initiative context

CoE Data & AI documentation reports operational results for the underlying initiatives:

  • Agent L1: consultation time from 15–20 minutes to 1–2 minutes, with fewer L2/L3 escalations.
  • PMO: processing from 3–5 days to 10–30 minutes, 20–30% more obligations captured and more than 50 documents processed.
  • IDQR: up to 80% less audit time and coverage expanded from sampling to 100%.

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