Thinking about using AI at work?
You do not need to arrive with a model, a budget for GPUs or even a clear idea of what should be automated.
We help companies figure out where AI is worth trying, build the first version and connect it to the work people already do. We also support teams that have an existing AI system and need to take it further.
Look at the work, then decide what to build.
It's easy to buy an AI subscription. It's harder to work out whether it will save your people any time. We usually start with the things that get repeated every week, the information people struggle to find, and the handoffs between systems that nobody enjoys doing.
Maybe the answer is a hosted service your team can use next week. Maybe it is a small integration with your CRM or ticketing system. For sensitive data or heavier usage, running models privately may be worth exploring. We recommend the setup that suits the work, not the one with the most impressive hardware.
Tell us what your team doesWhat an AI project might actually involve
These are common starting points, not a fixed menu. The right project depends on how your team works and which data or systems it can safely use.
Answers from company documents
Let staff search policies, technical notes, manuals or internal knowledge without opening a dozen files. We can build a searchable assistant that respects access permissions and points people back to the source.
Less manual work with documents and email
Extract information from incoming forms, categorize requests, draft replies or prepare records for someone to approve. Useful where work arrives in inconsistent formats and has to be copied into another system.
Help desk and customer operations
Summarize a ticket history, suggest the next response, identify common issues or send the right request to the right team. For customer facing work, we can keep a person in the loop before anything is sent.
AI inside your existing software
Add a useful feature to a business application, connect a model through an API, or let a workflow consult your own data. We handle the integration, permissions, error handling and monitoring.
Private AI and model hosting
When data handling, control or predictable usage makes it worthwhile, we can build on premises or private cloud infrastructure for models, including GPU servers, interfaces, security and day to day operation.
Start with one project worth testing.
We can review a few candidate workflows, select one, build a limited working version and test it against real examples. We'll look at output quality, access to sensitive information, ongoing cost and whether people would actually keep using it.
If the pilot makes sense, we can integrate it into your existing systems, help your team adopt it and stay involved for support. If it turns out to be the wrong job for AI, we will tell you before the project grows.
See how we have used AI in everyday businesses ↗
Discuss an AI projectWhat I'd think through first
A few short essays about the decisions behind useful AI projects.