Case Studies

AI in the real world.

Production outcomes begin with a business constraint — not a technology shopping list.

Explore how specialist AI teams are applying agents, GenAI, multimodal intelligence, digital twins, computer vision and predictive systems to real enterprise problems.

43 Use Cases · 9 Industries · 100+ AI Specialists Deployed

Explore the library

7 Enterprise case studies

Illustrative use cases and outcome figures; not independently verified client results. Reference architectures describe a plausible approach.

Enterprise Sales

AI Account Intelligence Agent

Built an agent combining CRM history, company intelligence, news and internal information into automated account briefs.

70% ↓

Account preparation time

6

People deployed

AI AGENTSRAGCRM INTELLIGENCE
Enterprise Operations

Intelligent Document Operations

Created an AI document-processing layer for invoices, contracts, supplier documents and other high-volume enterprise paperwork.

4×

Document processing throughput

8

People deployed

DOCUMENT AIAUTOMATIONGEN AI
Enterprise Operations

Autonomous Enterprise Operations Agent

Built a multi-agent system capable of detecting operational issues across enterprise systems, investigating root causes and orchestrating approved remediation workflows.

55% ↓

Incident resolution time

10

People deployed

AGENTIC AIAIOPSAUTOMATION
Enterprise Operations

Enterprise Knowledge Graph & GraphRAG

Created an enterprise intelligence layer connecting documents, people, projects, customers, products and operational systems into a permission-aware knowledge graph.

4×

Complex query resolution

9

People deployed

GRAPH RAGKNOWLEDGE GRAPHGEN AI
Enterprise Operations

Autonomous Software Engineering Pod

Built an AI-assisted software engineering workflow where specialised agents collaborate across requirement analysis, code generation, testing, documentation and code review.

45% ↑

Engineering throughput

8

People deployed

AGENTIC AICODE AISOFTWARE ENGINEERING
Enterprise Operations

AI Legacy Modernisation Engine

Created an AI engineering platform that analyses legacy applications, maps dependencies, generates migration plans and assists teams in transforming legacy code into modern architectures.

50% ↓

Modernisation effort

10

People deployed

CODE AIKNOWLEDGE GRAPHAI AGENTS
Enterprise Operations

Synthetic Data Engineering Platform

Built a synthetic data platform capable of generating statistically representative, privacy-safe datasets for model development, testing and simulation.

70% ↓

Test-data preparation

7

People deployed

SYNTHETIC DATAGENERATIVE AIML

Your outcome

A defined business problem is enough to start.

We can help frame the opportunity, test the critical assumptions, assemble the right engineering capability and take the system from concept to production.

Staff Augmentation

Add specialist AI capability.

Dedicated AI Teams

Deploy a cross-functional AI pod.

Fixed-Bid Delivery

Give Synoria ownership of a defined outcome.