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. Common use cases include 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 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.
CrewAI
Multi-agent AI for delegating tasks between specialised agents. For workflow automation, it coordinates agents for ticket triage and follow-ups.
AutoGen
Microsoft multi-agent framework for autonomous AI conversations. For workflow automation, it builds agents that collaborate on multi-step tasks.
Relevance AI
AI agent builder for autonomous workflows and tool use. For workflow automation, it deploys agents that call tools and handle requests.
Bolt.new
AI-powered full-stack app builder with agent workflows. For workflow automation, it prototypes agents and connects them to external tools.
Steamship
AI agent framework for multi-step reasoning and tools. For workflow automation, it runs multi-step agent workflows with tool use.
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Types of businesses I work with
- Manufacturing and engineering - Process documentation, quality checks, supplier comms, and internal knowledge bases. Often starting with one high-friction workflow.
- Logistics and supply chain - Route optimisation, demand forecasting, inventory planning, and shipment tracking with AI.
- Agencies and service providers - White-label AI solutions, client delivery, and internal efficiency tools for teams that bill by the hour.
Frequently asked questions
- Traditional automation follows rigid rules - if X then Y. AI automation handles judgment calls: triaging tickets by urgency, drafting context-aware replies, or routing requests based on content rather than simple keywords. It handles the grey areas that rule-based systems can't.
- No. AI handles the repetitive, time-consuming parts - triage, drafting, routing, follow-up reminders. Your team stays in the loop for decisions that matter. The goal is less context-switching and faster resolution, not fewer people.
- I build agents that plug into your existing stack - email, Slack, Microsoft Teams, CRMs like HubSpot or Salesforce, ticketing systems like Zendesk or Freshdesk, and project tools like Linear or Jira. The AI works where your team already works.
- Most businesses see measurable time savings within the first month. I typically start with one high-volume workflow - such as support ticket triage or lead routing - and you see the impact immediately as response times drop and manual handling reduces.
What is the difference between AI workflow automation and traditional automation?
Will AI automation replace my team?
What tools can AI workflow automation integrate with?
How quickly can I see results from AI workflow automation?
Want to discuss AI for your business?
I help businesses integrate AI into their workflows. Get in touch to talk through your specific situation.