Technology

AI & Automation

Practical automation that removes real busywork, not a chatbot gimmick.

35+ Automation workflows deployed
Technology Overview

We build automation and applied AI features that solve a specific, measurable problem — document processing, support triage, predictive alerts — rather than bolting AI onto a product because it's trending.

Core Stack

What we actually build with

Proficiency below reflects hands-on production use across delivered projects, not a checklist of tools we've merely tried once.

Production-ready technology Built for reliable, scalable digital products
01 Python
93%
02 OpenAI API
88%
03 LangChain
80%
04 TensorFlow
70%
05 n8n / Zapier
85%
✓ Hands-on experience
✓ Scalable architecture
✓ Maintainable code
Applied In Practice

Where this shows up in real projects

Practical applications built with proven technology, thoughtful architecture, and real-world business needs.

01

Support ticket triage and drafting

Automatic categorization and draft responses that a human reviews and sends, cutting first-response time significantly.

02

Predictive alerts from operational data

Models trained on your historical data to flag anomalies before they become incidents, not after.

03

Document processing at scale

Extracting structured data from invoices, contracts or forms that used to require manual entry.

How We Deliver This

Our process for ai & automation

The same structure applies whether this is a standalone engagement or part of a larger build.

01
STEP 01

Problem Definition

We define the specific, measurable outcome an automation or model needs to improve before building anything.

01 / 04
02
STEP 02

Data Assessment

We review what data actually exists and whether it's sufficient before promising a model will work.

02 / 04
03
STEP 03

Build & Validate

Models and workflows are tested against real historical cases, with accuracy reported honestly.

03 / 04
04
STEP 04

Deploy with Human Oversight

Automation ships with a human-in-the-loop review step until accuracy is proven in production.

04 / 04
Project Types

The kind of work this stack fits best

Built for practical products, scalable systems,and reliable digital experiences.

01

Chat & support automation

02

Predictive analytics

03

Workflow automation

04

Document processing

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Client Experience

Our support team's first-response time dropped by half, and it only suggests drafts — a person still hits send.

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Client Name Head of Customer Support, Partner Company
Common Questions

Frequently asked about this technology

Do you build custom AI models or use existing APIs?

Most projects use existing models (like OpenAI's) fine-tuned or prompted for your use case — custom model training is reserved for cases where it's genuinely justified by the data and budget.

How do you handle AI accuracy and mistakes?

We report accuracy honestly based on testing, and typically recommend a human-review step until a workflow has proven reliable in production.

Is our data used to train external models?

No — we configure integrations to prevent your data being used for third-party model training unless you explicitly want that.

Ready When You Are

Let's talk about your ai & automation project

Book a discovery call and we'll tell you honestly whether we're the right fit — no obligation, no generic pitch deck.