Workflow automation
AI agents that triage tickets, draft replies, route requests, and trigger follow-ups. Integrate with your existing tools.
Workflow automation with AI goes beyond rules and triggers - it handles the judgment calls. An AI agent can triage support tickets by urgency and topic, draft replies for human review, route requests to the right person, and nudge when follow-ups are overdue.
I build agents that plug into your existing stack - email, ticketing, CRM, project tools. The AI learns your patterns and handles the repetitive parts; humans stay in the loop for decisions that matter. For Barnsley businesses, this might mean support triage, sales lead routing, or internal request handling. The goal is less context-switching and faster resolution, not replacing people.
Example AI integrations
AI services and tools I've integrated for Barnsley businesses include:
LangChain
Agent framework for tool-calling and multi-step LLM workflows. For workflow automation, it orchestrates agents that triage, route, and trigger actions.
Visit siteCrewAI
Multi-agent AI for delegating tasks between specialised agents. For workflow automation, it coordinates agents for ticket triage and follow-ups.
Visit siteAutoGen
Microsoft multi-agent framework for autonomous AI conversations. For workflow automation, it builds agents that collaborate on multi-step tasks.
Visit siteRelevance AI
AI agent builder for autonomous workflows and tool use. For workflow automation, it deploys agents that call tools and handle requests.
Visit siteBolt.new
AI-powered full-stack app builder with agent workflows. For workflow automation, it prototypes agents and connects them to external tools.
Visit siteSteamship
AI agent framework for multi-step reasoning and tools. For workflow automation, it runs multi-step agent workflows with tool use.
Visit siteTypes of Barnsley businesses I work with on AI
- Agencies and service providers - White-label AI solutions, client delivery, and internal efficiency tools for teams that bill by the hour.
- B2B SaaS and tech companies - Adding AI features to existing products, building internal tools, or prototyping new ideas with a clear path to production.
- Education and training - AI for learning platforms, assessment, content generation, and personalised learning paths.