AI & Automation
AI that removes work, not headcount
AI automation uses language models and workflow tools to take over repetitive work such as answering common questions, reading documents or passing data between systems. It is for businesses with high-volume, low-risk tasks, and every build keeps a person able to step in.
What's included
AI assistants and chatbots
Grounded in your own documentation, with citations, a confidence threshold and a clean handover to a human or the contact form.
Document and data extraction
Structured data pulled from invoices, forms and reports into a schema your systems can use, with a review step for low-confidence fields.
Business workflow automation
Triggers, approvals and notifications wired with n8n or code, so a won deal files its own paperwork and the next person is told.
LLM integration
Summaries, drafting, classification and search inside your own product, with prompts versioned and costs monitored.
Human handoff
Clear escalation paths, transcripts and notifications so automation never becomes a dead end for a customer.
Monitoring and guardrails
Logging, retries, spend limits and alerts when a pipeline stops producing the expected output.
What you receive
Written scope
- Workflow map and automation candidates
- The assistant, pipeline or extraction service
- Prompts and context versioned in the repository
- Logging, retries and failure alerts
- Human review and handoff flow
- Documentation and cost guidance
Agreed in writing before any work starts.
How long it takes and what it costs
How long does it take?
Depends on scope. You get a written milestone schedule with your quote, and a realistic estimate rather than one designed to win the job.
What does it cost?
Fixed quote after a free 30-minute call. Model usage is metered separately, so we size running costs against your expected volume and add spend limits.
The problems this fixes
The same questions, all day
Support answers twenty repeated questions while the help content that already answers them sits unread.
Data trapped in documents
Invoices, forms and PDFs are read and retyped by hand, slowly and with errors that surface weeks later.
Automation nobody trusts
A previous script silently failed for a month, so the team went back to doing it manually — with both systems running.
How the work runs
Tools we typically use
- OpenAI
- Node.js
- n8n
- pgvector
- Webhooks
- Python
Frequently asked questions
Will the assistant invent answers?
It is grounded in your documents and instructed to say when something is not covered. Low-confidence conversations are escalated instead of guessed, and every answer can be traced to its source.
What does running it cost?
Model usage is metered, so cost follows traffic. We size it against your expected volume during scoping and add spend limits and alerts so a spike cannot run away.
Is our data used to train models?
Not with the providers we use in their standard API mode. Documents stay in your storage, and we scope exactly which content is sent with each request.
Can it work with our existing tools?
Yes. Automation connects to what you already use through APIs and webhooks — CRM, inbox, spreadsheets, accounting or a database — rather than replacing them.