Jobbler set out to modernise how customers in the UK find and hire local tradespeople.
Jobbler is a digital platform designed to simplify the way customers discover and connect with trusted professionals while helping service providers find relevant job opportunities and manage their business more efficiently.
Mind Roots team contributed primarily to the AI-powered experiences and intelligent workflows within the Jobbler ecosystem. The focus was on designing and developing AI-driven features that could understand platform data, assist users with relevant information, automate repetitive processes, and provide more intelligent interactions throughout the user journey — powered by a Laravel and MySQL backend built for reliability, data integrity, and future scale. The system was architected to support real-time quote matching, professional verification workflows, and a review and accreditation system that lets customers compare tradespeople confidently before hiring.
Rather than rebuilding the complete platform, our work focused on extending the existing product with AI capabilities that could integrate seamlessly with Jobbler’s existing architecture and workflows.
Technology
Laravel
Next.js
AI LLM
Quality Analysis
Project Information
Category :
AI-Powered SaaS Platform / Field Service Operations Software
Location :
United Kingdom
Project Timeline :
Short Term
Project Challenges
Bringing AI into an Existing Product Ecosystem One of the key challenges was introducing AI capabilities into an already established platform without disrupting its existing user journeys, business logic, or data structure.
Building a Reliable Two-Sided Marketplace Engine
The platform needed to match customer job requests with the right local professionals in real time, without overwhelming professionals with irrelevant leads or leaving customers without responses.
Verifying Professional Trust & Compliance
Every professional needed to be checked for insurance, accreditations, and compliance before being allowed to quote on jobs — requiring a robust verification and document management workflow.
AI Output Reliability & Human Oversight
Since AI-generated recommendations directly influence customer-professional matching and communication, every AI output needed clear guardrails — ensuring suggestions stayed accurate, relevant, and easy for users to review before acting on them.
Scalable Data & Integration Architecture
As AI features were layered onto the existing Laravel and MySQL setup, the architecture needed to scale smoothly — supporting growing data volume and future feature additions without disrupting core marketplace logic.
Jobbler represents a step toward a more intelligent, AI-assisted marketplace — one where customers get faster, more relevant matches and professionals spend less time chasing irrelevant leads. Mind Roots focused on making that intelligence reliable, contextual, and easy to extend as the platform grows.
Mind Roots delivered a scalable, secure system where AI agents handle estimating, safety compliance, site coordination, finance, and admin — turning scattered communication into structured, actionable data. The result is a platform that helps scaffolding businesses quote faster, stay audit-ready, and run leaner operations, with room to grow as new AI agents and trades are added to the Agenisy ecosystem.
AI Contribution
Making Jobbler More Intelligent Our primary contribution to Jobbler was focused on its AI-driven functionality and supporting workflows.
We worked on creating AI experiences that could help transform traditional platform interactions into more intelligent and contextual user journeys.
Key areas included:
- AI-assisted workflows designed around Jobbler's core platform use cases.
- Context-aware AI interactions based on available user and platform information.
- Intelligent processing and interpretation of relevant platform data.
- AI-generated recommendations and assistance within applicable workflows.
- Structured AI outputs designed to work reliably with existing application logic.
- Integration of AI functionality with existing backend services and business rules.
- User-friendly interfaces for interacting with AI-generated information.
- Designing the foundation for expanding Jobbler's AI capabilities in future phases.
Project Summary
Jobbler is an evolving digital marketplace built to make it easier for customers to connect with professionals and for professionals to discover and respond to relevant opportunities.
Our engagement focused specifically on the AI layer of the product, where we worked on translating existing Jobbler workflows into intelligent, contextual experiences. Instead of treating AI as an isolated chatbot or add-on, the objective was to integrate intelligence directly into the platform’s existing processes.
Working alongside the existing technology ecosystem, our team focused on AI workflow design, backend integration, contextual processing, and user-facing AI experiences. The result was a foundation that enables Jobbler to move beyond conventional marketplace functionality toward a more intelligent, automation-driven platform.
Jobbler reflects the foundation of a growing partnership with the client, where Mind Roots contributed AI-driven workflows to an established marketplace platform. That relationship has since expanded into Agenisy, a dedicated AI agent platform for scaffolding businesses — showing how Mind Roots supports clients across different stages of their product journey, from enhancing existing platforms to building new ones from the ground up.