Custom AI Agents
Agents that handle real work.
An AI agent is software that can read, understand, and act. Not a chatbot that matches keywords. An agent that reads a customer's message, looks up their order, checks your stock system, and drafts a reply. One that processes an invoice, extracts the line items, and logs them in your system. One that handles internal requests from your team without someone manually routing everything.
Businesses that have high volumes of repetitive communication or document handling. If someone on your team spends a significant part of their week doing the same tasks, an agent can take that over.
- A working agent deployed inside the tools your team already uses
- Clear handoff logic so a human takes over when the agent should not decide alone
- A tested, documented system your team understands
- Ongoing support from us as the agent runs
We start with a discovery call to understand the specific task. Then we map the workflow, build a prototype, test it against real examples from your business, and deploy when it is ready. Most first agents take a few weeks from first call to live.
Workflow Automation
Connect the tools you already use.
Your business probably uses several different tools, and right now someone is manually moving information between them. An order comes in on WhatsApp and someone types it into a spreadsheet. A form gets filled in and someone emails the details to another team. A stock update happens and someone has to tell three different systems. We connect those tools so the information moves automatically.
Any business where information has to be manually copied, reformatted, or forwarded between systems. If someone on your team regularly acts as a human relay between software, that is something we can automate.
- Automated data flow between your existing tools
- No new software to learn or maintain
- Error logging so you know when something fails
- A clear map of what connects to what
We audit the current flow first, understanding every step the manual process takes. We then build the automation, test it with real data, and hand over with documentation. Simpler workflows can be running within a week.
AI Readiness Assessment
Clarity before anything gets built.
Not every business problem needs AI, and not every business is ready for it. Before you invest in building anything, it is worth taking a clear-eyed look at where automation would actually help and where it would not. That is what this assessment does. We look at how your business runs, map your key workflows, and identify the highest impact place to start.
Businesses that know they want to do something with AI but are not sure where to start. Also businesses that have been approached by software vendors and want an independent view on whether what they are being sold is right for them.
- A written map of your key workflows
- A ranked list of automation opportunities with honest impact estimates
- A recommendation on where to start and why
- A view on what is not worth automating yet
This starts with two or three conversations with the people who do the work, not just the leadership. We observe the actual processes. We then write up what we found and walk you through it. The whole thing typically takes one to two weeks.
Deploy and Support
We do not hand over a prototype and disappear.
Building something is only half of it. Getting it to run reliably in a real business, with real data, real edge cases, and real people, is the other half. Once something is built and deployed, it needs monitoring, adjustment, and occasional fixes. Business processes change. New edge cases appear. The underlying tools get updated. We stay on to handle all of that.
Any client we have built something for. We also offer this as a standalone service for businesses that have built automation internally and need ongoing support to keep it running.
- Monitoring so we know when something fails before you do
- Regular check-ins on performance
- Fixes and adjustments as your business changes
- Training for your team as new people join
After launch, we run a structured handover with your team. We monitor the system and report regularly. When something needs changing, we make the change. You don't need to project-manage us on this.
Predictive Maintenance Models
Know when something is about to fail before it does.
For manufacturers and industrial operators, we build models that monitor equipment sensor data and surface early warning signals before a failure causes downtime. This is not a dashboard you watch. It is a system that alerts you when something specific needs attention, based on patterns in your own historical data.
Manufacturing plants, logistics operators, and industrial businesses with equipment that is monitored by sensors or PLCs. You need historical operational data to build the model. If you have that, we can work with it.
- A model trained on your equipment data
- Alerts when readings deviate from normal patterns
- Integration with your existing monitoring tools where possible
- Documentation so your maintenance team understands what is being flagged and why
We start by auditing your existing sensor data and maintenance records. We then build and validate the model against historical failure events. Once tested, we deploy it and work with your team to tune the alert thresholds so you get signal, not noise.
What could you get back?
Move the sliders to see a rough picture of the time and value your team could recover with automation.
Estimate based on typical automation recovery rates. Actual results depend on your specific workflows and implementation. The discovery call is the right place to get a real picture.
Not sure which fits your situation?
Book a free discovery call and we'll work through it together.