AI automation
LLM agents wired into an app you already run - reading the record, picking the right tool, doing the task and checking its own work.
who this is for
- Businesses with a working CRUD app or internal tool where a repetitive step could be handled by an agent instead of a person.
- Teams drowning in inbox, lead or ticket triage that follows a pattern a model can learn.
- SaaS products that want retrieval-augmented answers over their own documentation or knowledge base, not a generic chatbot.
- Anyone automating a workflow that still needs a human to approve the parts that shouldn't run unattended.
problems this solves
- A repetitive triage or sorting task is eating hours every week that could go elsewhere.
- There's a large body of internal documents and no good way to ask them a question directly.
- Existing automation tools handle the easy 80% and break on every exception, with no fallback but a person.
- The team wants "an AI feature" without a clear idea yet of which specific workflow it should touch first.
how it runs
- 01
Brief
What app or workflow exists today, and which specific step is the actual bottleneck - not "add AI," a named task.
- 02
Scope
Always scoped as custom work - the estimator marks this service as custom for exactly that reason. The brief step is where the real range gets discussed.
- 03
Build & guardrails
The agent loop, the tools it can call, and - critically - where a human approves before anything ships or sends.
- 04
Handover
Wired into the existing app, documented, with the approval points made explicit rather than buried in code.
what's delivered
- An agent wired into your existing app or workflow, not a standalone demo
- RAG over your own documents where the task calls for it
- Human-in-the-loop approval points for anything the agent shouldn't finish alone
faqs
What does "AI automation" mean here, specifically?
LLM agents wired into an app you already have - reading a record, picking the right tool, doing the task and checking its own work, rather than a chatbot bolted onto the homepage. Typical shapes: inbox, lead or ticket auto-triage, retrieval-augmented generation over your own documents, and human-in-the-loop approval flows for anything the agent shouldn't finish alone.
Do I need an existing app or platform for this to make sense?
Usually, yes - the value is wiring an agent into a real CRUD app or workflow you already run, not standing up a novelty demo. If that app doesn't exist yet, it usually makes more sense to scope it alongside the website-development service first.
How is this scoped and priced?
As custom work, always - the gap between a single triage agent and a multi-tool pipeline is too wide for a flat package. The "start a project" form's estimator marks AI automation as custom scope for exactly that reason; the brief step is where the real range gets discussed.
Have a workflow worth automating?
Start with the project form - pick AI automation and describe the specific task, not just the goal.