Custom AI integrations

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

Localized data
On your information
We configure the model around your own data, in the environment that fits how you need to hold it.

Good fit for

  • Customer and client records
  • Internal documents and knowledge bases
  • Work with strict data-handling rules
Frontier models
For a specific task
When a job needs a stronger general model, we configure a frontier model for that task.

Good fit for

  • Drafting and summarizing long documents
  • Reasoning across messy, unstructured inputs
  • Tasks that need broad general knowledge

Sized to the company

Small
Small businesses
A focused integration around one workflow that costs the team time every week.
Mid-size
Mid-size companies
Shared processes across teams, with a configuration you can extend as the work grows.
Large
Large organizations
A governed setup: localized data where the business requires it, and frontier models assigned to specific tasks.

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.