01
Fewer manual steps between a request and a finished record.
05·Services
AI Automations
Agents, chatbots, and workflow AI that take repetitive work off your team so people can focus on outcomes that scale.
We embed AI where it changes output: fewer manual steps, faster response times, and products that feel intelligent to your customers.
What this practice covers
AI automation is useful when a person still copies, classifies, or chases the same request. We build agents, chatbots, and workflow AI on the steps that change output — routing tickets, drafting replies, extracting documents, following up — connected to the CRM, inbox, or database you already run.
Models are components. OpenAI, Claude, and Node.js services sit behind a job: who does it, what the input is, and what happens when the model is wrong. Human review stays in the loop until the loop earns trust.
We do not sell a generic chatbot bolted onto a homepage. If the work is not in the workflow, the feature will not get used after week two. Data pipelines and reporting follow the same rule: ingest, analyse, and surface where the team already looks.
The usual problem
The same requests sit in inboxes and spreadsheets. Someone always copies, classifies, or chases. It never quite becomes a process, and it does not scale with volume.
How we take it on
We put agents, chatbots, and workflow AI on the steps that actually change output — routing, drafting, extracting, following up — connected to the systems you already run. Not a chatbot for its own sake.
Who it's for
Operators with repetitive work that still needs judgment at the edges, and products that should answer without adding headcount.
Capabilities
- Chatbots
- Workflow AI
- Data Pipelines
Technology
OpenAI
Claude
Node.js
What changes
02
Faster responses without a larger support queue.
03
People spending time on work that still needs a person.
Where it shows up
Questions about this work
Can you add AI to software we already use?
Yes. Most AI automation work is integration: APIs into the tools you already run, with an agent or workflow on a specific job. A standalone chat window that cannot see your records is not an automation.
Do you build custom AI agents or only chatbots?
Agents, workflow AI, and chatbots when a conversation is the right interface. An agent that plans steps and writes back to a system is different from a FAQ bot. We name the job first, then the model.
Which AI models do you use?
OpenAI and Claude where they fit the task, with Node.js (and Python when the pipeline needs it) around the model. The model is replaceable. The workflow, permissions, and failure path are not.