JetsCheck — Booking Automation
Cloud-function automation running the booking lifecycle, status updates and client email without manual work.
View case studyStill Doing Work an Agent Could Run?
If your team spends hours on repeatable, rules-based work, an AI agent can take most of it off their plate.
Reading and replying to routine messages
Qualifying and routing inbound leads
Researching prospects and compiling notes
Moving data between apps by hand
Summarising documents, tickets, and threads
Chasing the same follow-ups every week
Agents Built for a Real Job
Not a demo. Agents scoped around one outcome and trusted to deliver it.
Lead-qualifying agents
Score, enrich, and route leads before they reach a human.
Inbox agents
Draft replies, sort, and triage email and chat automatically.
Research agents
Gather, summarise, and structure information on demand.
Ops agents
Run multi-step internal workflows end to end.
Support agents
Resolve common questions and escalate the rest.
What Makes an Agent Actually Useful
The difference between a clever toy and a tool you rely on is in the engineering around it.
Connected to your toolsAgents act inside your CRM, inbox, docs, and apps — not in a vacuum.
Multi-step reasoningThey plan, take actions, check results, and keep going until done.
Guardrails and approvalsSensitive steps pause for a human; nothing runs unchecked.
Memory and contextAgents remember the relevant history instead of starting blind.
Built around one outcomeScoped to a clear job so they’re reliable, not vaguely capable.
Logged and observableEvery run is traceable, so you can see and trust what happened.
Built With the Right AI Tools
Chosen per project for capability, cost, and control.
OpenAIClaudeLangChainn8nMake.comPythonNodeVector DBsCustom APIs
From Idea to Working Agent
A clear path, with you in the loop at every step.
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Step 01
Scope
We pin down the exact job, inputs, and what “done” looks like.
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Step 02
Build
I build the agent, connect your tools, and add guardrails.
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Step 03
Test
We run it on real cases and tune until it’s dependable.
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Step 04
Deploy
It goes live with logging, and I refine it as you use it.
Automation & AI Work
The kind of automation and AI builds I ship — live projects on the Work page.
A chatbot answers questions. An agent takes actions — it can plan a task, use your tools, make decisions within limits, and complete multi-step work, not just reply.
Anything autonomous can, which is why I build in guardrails, approval steps for sensitive actions, and full logging. You decide how much it does on its own versus what waits for a human.
Yes — agents are most useful when connected to your CRM, inbox, docs, and apps through their APIs, so they act where your work already happens.
I scope what the agent can access, keep credentials secure, and can use models and setups that don’t train on your data. We agree the boundaries up front.
Repeatable, rules-based work with clear inputs is ideal. Tell me what eats your team’s time and I’ll tell you honestly what’s worth automating.
Tell me what you want to automate
Describe the task that’s eating hours, and I’ll tell you whether an AI agent can run it — and what it takes to build.
Honest advice on what AI can and can’t do for you.