Generative AI Inference Governance and Impact Measurement. An open, provider-agnostic AI usage control plane that sits between your organisation and every AI model provider to govern, optimise, and measure how you use generative AI.
Enterprise AI is ungoverned, unmeasured, and unsustainable.
Organisations are adopting generative AI rapidly, but without visibility into cost, quality, compliance, or environmental impact. Most enterprises have no control plane between their people and AI providers.
Rising Costs
AI inference costs are escalating unpredictably. Without visibility into usage patterns, model selection, or prompt efficiency, budgets spiral. Organisations pay for redundant queries and suboptimal model choices.
Prompt Inefficiency
Users typically need 3-8 re-prompts to get a useful response. That is 60-80% wasted inference. Without prompt enrichment and intent detection, most AI interactions are costly and frustrating.
Data Leakage
Sensitive data flows to external AI providers without policy enforcement. No filtering, no classification, no audit trail. Compliance teams have zero visibility into what is being sent where.
Unmeasured Impact
The environmental cost of AI inference is invisible. No carbon tracking, no energy measurement, no sustainability reporting. Organisations cannot manage what they cannot measure.
The GIGI Stack: seven layers of AI governance.
GIGI sits between users and AI providers as a unified control plane. Seven architectural layers work together to enrich prompts, cache responses, route to optimal models, coordinate agents, enforce governance, and measure everything.
"Every AI transaction should be governed, measured, and optimised. GIGI makes that possible without locking organisations into a single provider or slowing down their teams."
Provider-Agnostic UI
A single interface for all AI interactions, designed for both expert and lay users. Switch models, compare outputs, and manage conversations without switching between provider platforms.
Intent Detection, RAG & Policy Filtering
Detects user intent, enriches prompts with organisational context via retrieval-augmented generation and graph reasoning, and filters content against data classification policies before it reaches any provider.
Exact & Semantic Response Matching
Caches prior responses using both exact and semantic matching. When a similar query has been answered before, GIGI reuses the cached response — eliminating redundant inference, reducing cost, and cutting latency.
Optimal Model Selection
Routes each request to the best model based on task type, cost constraints, data sensitivity classification, and carbon footprint. Supports 10+ providers including OpenAI, Anthropic, open-source, and on-premise models.
Specialised Agents Working Together
Complex tasks are decomposed and assigned to specialised agents that collaborate on multi-step workflows — research, analysis, code generation, review — with governance applied at every step.
Automated Compliance & Policy Enforcement
Enforces organisational AI policies automatically: data classification rules, usage quotas, approval workflows, human-in-the-loop gates, and full audit trails. Aligned with EU AI Act, GDPR, ISO/IEC 27001, and IEEE P7000.
Cost, Carbon & Productivity Dashboards
Real-time dashboards tracking AI spend per team, per model, and per task. Carbon emissions per inference. Productivity metrics measuring right-first-time rates, re-prompt frequency, and time saved. The data enterprises need to manage AI responsibly.
Measurable targets across cost, quality, and sustainability.
GIGI is designed to deliver quantifiable improvements across five key dimensions of enterprise AI usage.
Cost Reduction
Reduction in AI operational costs through caching, routing optimisation, and prompt enrichment.
Right-First-Time
Right-first-time response rate, up from ~60% typical. Fewer re-prompts, faster results.
Governance Coverage
Every AI transaction governed, audited, and compliant. No shadow AI, no ungoverned usage.
Cache Hit Rate
Semantic and exact cache reuse, eliminating redundant inference and reducing environmental impact.
Providers Supported
AI models and providers integrated, from cloud APIs to on-premise open-source deployments.
Four use cases across industry and research.
GIGI will be validated through real-world deployments across software engineering, manufacturing, financial services, and AI cost measurement.
AI Cost & Impact Measurement
Developing the analytics and impact measurement layer: real-time dashboards for AI spend, carbon emissions per inference, productivity metrics, and right-first-time tracking. The measurement foundation that makes AI governance actionable.
AI Software Engineering Governance
Governing how development teams use AI coding assistants: enforcing coding standards, managing model selection for code generation vs review, tracking productivity gains, and ensuring sensitive source code does not leak to external providers.
Industrial Manufacturing
Applying GIGI governance to AI-driven manufacturing processes: quality control, predictive maintenance, and production optimisation with full audit trails, safety compliance, and cost visibility across AI-enhanced factory operations.
Financial Sector
Deploying governed AI in financial services: customer-facing AI assistants, risk analysis, and regulatory compliance with strict data classification, human-in-the-loop approval workflows, and complete transaction audit trails.
15+ partners across 7 countries.
A consortium of industry leaders, research institutes, and universities combining expertise in AI governance, software engineering, manufacturing, and financial services.
Standards alignment: ISO/IEC 27001, ISO/IEC 38500, IEEE P7000, EU AI Act, GDPR
Related R&D Projects
View all R&D projects across Eureka, Horizon Europe, and internal research.
GreenCode
AI/ML Driven Software Optimisation to Reduce Cost and Climate Impact. Decarbonising computing at scale.
GLEAM
Green Learning for Eco-Conscious Medical AI. Energy-efficient AI for medical imaging with federated learning.
Horizon CSA
Leveraging AI to optimise scientific computing for performance and energy efficiency. In development.
Govern your AI. Measure your impact.
Get in touch to learn more about GIGI and how Digital Tactics is leading the development of enterprise AI governance infrastructure.
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