Implementation

Custom development

Build the AI system. Ship it to production.

Fit

When this is right for you

  • You already know the use case and want it built well.
  • Your first try at the same use case stalled or felt off.
  • You want a working system, not a vendor evaluation.
Deliverables

What you walk away with

01
A production system, deployed in your environment or ours.
02
Source code, documentation, architecture diagrams.
03
Observability and evaluation hooks so you can see how it's performing.
04
Human-in-the-loop checkpoints where appropriate.
05
A reliability profile — known failure modes, kill switch, rollback plan.
06
A handover period with your team.

What this looks like in practice

A representative engagement, pulled from real work. Full case studies are on the way.

Problem

45-person services company needed AI-assisted ticket triage and response drafting.

What we built

8-week build pulling from Zendesk, knowledge base, and product docs. Routes tickets by intent, drafts first-pass replies for human review, logs every model call for audit.

Outcome

Agents review drafts instead of writing from scratch. Average handle time drops; quality stays flat or improves. The team tunes it themselves.

How custom development fits an engagement

Custom development isn't a standalone product. It's one of four capabilities we blend into a single engagement — alongside the others as the problem calls for them. Most engagements use two or three. Some use all four.

One contract. One team. We scope the blend with you up front, and the same people who shape the work are the ones building and handing it over. See the full process on the Services page.

Tell us what you're working on.

Even one sentence is fine. What's the workflow, what's stuck, what would good look like? We respond within one business day.