Overview
THF Engineered Solutions is a pioneering engineering startup in the energy sector, within the Energy Sector, specialising in Well Engineering. With a vision to revolutionize traditional processes using GenAI technologies, THF partnered with SourceFuse to build AI-powered platforms that automate and optimize well delivery workflows.
The Challenge
As a new entrant in the engineering sector, THF faced a pressing need to replace outdated, manual practices with intelligent, scalable systems. Their biggest challenges included:
- Reliance on manual documentation and siloed workflows
- Lack of AI-enhanced decision-making tools
- Barriers to scalability in early-stage product development
- Regulatory compliance and data security concerns
- Complex UI/UX slowing user onboarding
The Solution
SourceFuse delivered a structured GenAI Discovery & Assessment that shaped a clear execution roadmap. The collaboration resulted in two transformative solutions:
1. ELLIS (Engineering Logic & Learning Intelligence System)
An AI Subject Matter Expert in Well Engineering, capable of surfacing critical insights and identifying risks early to augment engineering delivery, ELLIS surfaces critical insights and identifies risks early, enabling faster, contextual decision-making.
- NLP-based interface for step-by-step, expert engineering guidance
- Three-tiered support: Coaching, Principal Technical Expert, Technical Authority
- Integrated subscription model with admin dashboard and mobile optimization
- Powered by OpenAI for cost-efficient, context-aware intelligence
2. WellPhase Platform
A robust platform automating the creation of engineering deliverables through highly specialised and complex workflows, including:
- Project creation and documentation automation
- Standardized templates and data libraries
- Role-based access control and tenant management
- Advanced analytics and AI-enhanced collaboration tools
Highlights
- Accelerated AI-Driven Decision Making: Reduced time-to-insight via intelligent model selection
- Risk-Free Architecture: Compliance-first, cloud-native design with role-based access and encryption
- Enhanced Usability: Figma-prototyped UI/UX validated through engineering feedback
- Future-Ready Scalability: Built to support multi-project workloads and global expansion
- Efficient Development: 8-week Discovery phase reduced time-to-market and de-risked AI adoption
The Result
- Improved Operational Efficiency: Streamlined engineering workflows with GenAI
- Faster Development: Clear roadmap allowed phased rollout of ELLIS and WellPhase
- Cost Savings: Optimal AI model selection minimized development and infrastructure costs
- Enhanced Adoption: Intuitive UI/UX simplified onboarding for engineering teams
Technologies Used
- AI/ML Platforms: OpenAI GPT-4o, Claude 3 Haiku (evaluated), AWS Bedrock (evaluated)
- Data Ingestion: Unstructured.io
- Prototyping: Figma
- Cloud Infrastructure: AWS Cloud (Scalable & Compliant Architecture)
- Security: RBAC, data encryption, industry regulatory compliance