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SilSol

AI, automation, and data

AI that earns its keep.

We add intelligence where it pays back — automating the repetitive, surfacing the buried, and giving your team superpowers. Not chatbots for the sake of chatbots.

Services in this practice

What we actually build under Smart.

  • AI Solutions

    AI that earns its keep

    Chatbots, document AI, internal assistants — focused on workflows where AI pays back, not where it looks cool.

    • Chatbots over your docs
    • Document extraction
    • AI claim triage
    • Internal copilots
  • Business Automation

    Stop doing it manually

    Connect the tools you already use. Eliminate the spreadsheets, the copy-paste, the 9pm reconciliation work.

    • Workflow automation
    • System integrations
    • Data sync between tools
    • Scheduled reports

What's included

The shape of a typical Smart engagement.

  • LLM integrations into existing products
  • Workflow automation (Zapier, n8n, custom)
  • Document intelligence: OCR, extraction, classification
  • Internal AI assistants over your data
  • Data pipelines and warehousing
  • Dashboards and decision tooling

Stack we work with

Tools we know cold. We pick what fits the job, not the resume.

  • Claude
  • OpenAI
  • LangChain
  • Python
  • n8n
  • Zapier
  • Snowflake
  • BigQuery
  • dbt

Process

How we work together.

  1. Step 1

    Identify

    Find the workflows where AI or automation has the highest ROI.

  2. Step 2

    Prototype

    Two-week build to prove value before committing to production.

  3. Step 3

    Integrate

    Wire into your existing tools, with humans in the loop.

  4. Step 4

    Measure

    Track time saved, error rates, and dollars recovered.

  5. Step 5

    Scale

    Expand from one workflow to many, with shared infrastructure.

Recent Smart work

Selected projects in this practice.

Case studies are being polished and will land on this page shortly. In the meantime, see the full work archive.

FAQ

Common questions.

Is our data safe with AI providers?
We default to providers and configurations that don't train on your data, and offer on-premise or VPC deployments where required.
How do we know AI will actually help us?
We start with a paid 2-week prototype tied to a measurable workflow. If the numbers don't work, we stop.
Can you build a custom chatbot trained on our docs?
Yes — RAG over your documentation, with citations, access controls, and an admin panel.
What about hallucinations?
We design for them: structured output, validation, citations, and human review where stakes are high.
Do you offer ongoing tuning?
Yes — monthly review of accuracy metrics, prompt tuning, and model upgrades as new versions ship.

Ready to start a Smart project?

Tell us what you're building. We'll come back within one business day with a scoping call.