02 · AI Solutions

AI features your team actually uses.

We build assistants, automations and prediction models that sit inside the tools you already use and run on your own data. Before anything goes live we test it against real cases from your business, and we keep measuring after launch, so you always know how often it gets things right.

02
What's included

AI that fits into how you already work.

LLM apps & assistants

Chat assistants, copilots and agents that answer from your own docs, tickets and databases.

Predictive analytics

Forecasting, lead scoring, churn prediction and anomaly detection built on your own numbers.

Document & workflow automation

Pull data out of documents, classify it, route it to the right person and summarize it. Work that sat in a queue for days gets done in minutes.

Evaluation & guardrails

Test suites, prompt versioning and monitoring, so answer quality holds up as usage grows.

What you walk away with

  • A production AI service running on your cloud, behind your login.
  • An evaluation suite with prompt and version management that you control.
  • An admin dashboard showing usage, cost and answer quality.
  • Documentation and a handover session so your team can run it without us.

Tools we reach for

OpenAI Anthropic LangChain LlamaIndex Pinecone Weaviate PyTorch Python FastAPI
How it runs

How an AI project runs.

We measure quality from the start, so when it's time to go live you're deciding with real numbers in front of you.

STEP 01

Discover

We look at the task you want to automate, collect real examples and agree how success will be measured.

You get: use case, test set & quote
STEP 02

Prototype

A working prototype on your data, scored against the examples we collected.

You get: a scored prototype
STEP 03

Build

We connect it to your systems, add guardrails and an admin view, and demo progress every week.

You get: weekly demos
STEP 04

Monitor

After launch we track quality and cost, and tune prompts or models when results drift.

You get: a monitored AI service
Questions

Common questions.

Will our data be used to train someone else's model?

We set things up so it isn't. We use API providers and settings that don't train on your data, and if you need everything in-house we can run open-source models on your own servers.

How do you know the answers are good enough?

Before launch we build a test set from real examples in your business and score the system against it. You see the results and decide when it's ready to go live.

Can you add AI to software we already have?

Yes. We connect to your existing database, CRM or helpdesk through their APIs, so your team keeps working in the tools they know.

What does it cost to run each month?

That depends on volume and the model we choose. We estimate running costs during scoping, and once it's live the admin dashboard shows what you're spending.

Have a task you'd like AI to handle?

Send us a description and a few real examples. Within 48 hours we'll tell you whether AI is a good fit and what it would take.