Services

AI & Automation

AI integrations, automations and APIs that compound business velocity.

Rapid delivery available

Most AI features that fail in production fail for the same reason: no one decided what happens when the model is wrong. We scope every integration with that question first — the cost of a wrong answer, and what a human-in-the-loop checkpoint looks like where the cost is high.

Within that frame, the work is genuinely useful: retrieval-augmented search over your own documents, support ticket triage and drafting, structured data extraction from messy inputs, and internal copilots wired to your actual systems rather than a generic chat widget bolted onto the homepage.

What this looks like in practice

  • A cost model up front — API spend at your real usage volume, not a demo's worth
  • Fallback and error-handling paths designed as carefully as the happy path
  • Evaluation against real examples from your data before anything ships to users
  • Integrations built on top of the OpenAI API or comparable providers, swappable as the landscape moves

We are equally comfortable telling you a proposed AI feature is not worth building yet — sometimes a well-designed form beats a chatbot, and we will say so.

How we deliver this

Step 01

Scope the failure mode

We decide upfront what happens when the model is wrong, and the cost of that outcome.

Step 02

Build with fallbacks

Error-handling and human-in-the-loop checkpoints are designed as carefully as the happy path.

Step 03

Evaluate before shipping

Every integration is tested against real examples from your data before it reaches users.

Who this is for

  • Support ticket triage and drafting at volume
  • Retrieval-augmented search over your own internal documents
  • Structured data extraction from messy
  • unstructured inputs
  • Internal copilots wired to your actual systems
  • not a generic chat widget
  • Automating a manual
  • repetitive workflow your team runs today

Frequently asked

That question is scoped before we build anything — the cost of a wrong answer determines whether we need a human-in-the-loop checkpoint, designed in from day one.

Primarily the OpenAI API or comparable providers, built so the integration is swappable as the landscape moves rather than locked to one vendor.

Yes — we are equally comfortable telling you a proposed feature isn't worth it yet. Sometimes a well-designed form beats a chatbot.

Ready to build with AI & Automation?

Get a custom quote within one business day — senior engineers, transparent scope, no surprises.