Custom AI for the work your team repeats.
Digital Solutions builds custom AI integrations for small, mid-size, and large businesses. We analyze how you work, then configure AI to take repetitive tasks off the team.
- Data stays localized when it should
- Frontier models for specific tasks
- Built into the tools you already use
How an engagement works
Five steps, from a first email to work your team no longer does by hand. Each step ends with something you can review.
Step 01
Start with an email
Tell us what your team does by hand. A few sentences is enough to start, and we follow up with questions so the first conversation is about your actual work.
- Describe the task and who handles it today
- Note how often it comes up and which tools it touches
- Share where the data for that work lives
You get: A shortlist of workflows worth a closer look.
Step 02
Analyze the work
We study how your operation actually runs: where time goes, which steps are repetitive, and what is worth automating. The aim is a clear picture of how to improve efficiency.
- Walk through the workflow with the people who do it
- Note where time goes and which steps repeat
- Separate what to automate from what should stay with people
You get: A proposal for what to automate and how the model should be configured.
Step 03
Configure the model
Custom model configurations for the task in front of you. Data stays localized when the work should remain with you. Frontier models are used for the specific tasks that need them.
- Match each task to a localized or frontier model
- Set the model up on your own documents and records
- Test it on real examples before anything goes live
You get: A configuration tested against your own work.
Step 04
Automate the mundane
We integrate that setup into the tools your team already uses, so repetitive tasks run without someone doing them by hand.
- Connect the setup to the tools already in place
- Keep a person in the loop where a decision needs one
- Show the team how it works and how to flag issues
You get: Repetitive tasks running inside your existing tools.
Step 05
Review and extend
Once it is running, we look at what changed. The configuration is adjusted where the output falls short and extended as the work grows.
- Compare time spent before and after
- Adjust prompts, data, or model choice
- Pick the next workflow worth automating
You get: A clear view of what changed and what to automate next.
Model configuration
The model is chosen for the task. Some work should stay on your data. Some work needs a frontier model.
Sized to the company
Tell us what your team does by hand.
Email us. We will look at the work and propose what to automate, and how the model should be configured.