THF Engineered Solutions: Accelerating AI Innovation in Well Engineering
Driving AI-Powered Transformation in Energy Sector, specialising in Well Engineering with GenAI Solutions
Overview
THF Engineered Solutions is a pioneering engineering startup within the Energy Sector, specialising in Well Engineering. With a vision to revolutionise 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As a new entrant in the engineering sector, THF faced a pressing need to replace outdated, manual practices with intelligent, scalable systems.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
Technical Coach, Subject Matter Expert & Technical Authority
Integrated subscription model with admin dashboard and mobile optimisation
Powered by Claude Sonnet 4 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
Standardised 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 minimised development and infrastructure costs
Enhanced Adoption:
Intuitive UI/UX simplified onboarding for engineering teams
Technologies Used
- AI/ML Platforms: Claude Sonnet 4, Claude 3 Haiku (evaluated), Amazon Bedrock (evaluated).
- Data Ingestion: Unstructured.io.
- Prototyping: Figma.
- Cloud Infrastructure: AWS Cloud (Scalable & Compliant Architecture).
- Security: RBAC, data encryption, industry regulatory compliance.
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