Home/Services/Automation & AI

Automate the work that shouldn't need a person.

Not every process needs AI, and we will say so. What every automation needs is a clear rule for what happens when it is unsure — which is the part most AI projects skip.

Book a free consultation Send project details

Who this is for

Is this you?

Teams processing documents, invoices or orders by hand
Support functions answering the same questions repeatedly
Operations where a person moves data between screens all day
Companies that have tried an AI pilot and could not get it into production

Problems it removes

What this fixes.

Hours a week spent re-typing data from PDFs, emails and portals
Reports assembled manually every Monday from four different systems
Support answering the same forty questions every week
Work that queues up because one person has to review everything
An AI proof-of-concept that impressed everyone and never shipped

Capabilities

What we build.

Deliverables, not adjectives. Each of these is something you receive and own.

Document and data extraction

Invoices, orders, specifications and forms turned into structured data, with a confidence threshold and a human review queue.

Process automation

Multi-step workflows across systems with approvals, exception handling and a full audit trail.

AI assistants on your data

Retrieval-grounded assistants that answer from your documents and systems, and say when they do not know.

Support automation

Deflection of repeat questions, with clean escalation to a person and no invented answers.

Reporting automation

Scheduled reporting that assembles itself from source systems instead of from someone's morning.

How we approach it

The order we do things in.

Measure the manual workHow often, how long, and what it costs today. If the number is small, we tell you not to automate it.
Decide where AI belongsRules where rules work; AI where language, variation or judgement is genuinely involved.
Design the uncertainty pathWhat happens when confidence is low. This is designed first, not bolted on.
Run alongside the humansThe automation runs in parallel with the manual process and is measured against it before it takes over.
Monitor accuracy over timeOngoing measurement, because model and data drift are real and silent.

Technology

What we work in for this.

ClaudeOpenAIRAG pipelinesVector databasesPythonLaravel Queuesn8nWebhooks

Only what we support in production today. If your stack is outside this list we will say so on the first call rather than learn it on your project.

We have done this before

Related work.

DAR Transport · Canadian freight & logistics · Saskatchewan

A dispatch platform, and an honest service list.

Quote, dispatch, track, deliver and invoice in one platform — starting with a signed audit of what the company actually hauls.

22advertised services removed, and blocked in code from returning

3 portalsadmin, customer and driver on one codebase

109API endpoints across a 12-state order lifecycle

Read the case study

Questions

Automation & AI — the things people ask.

Do we need AI, or will normal automation do?

Most of the value in most processes comes from conventional automation — rules, integrations and queues — which is cheaper, faster and fully predictable. AI earns its place where there is unstructured language, high variation, or genuine judgement. We will tell you which half of your process is which.

How do you stop an AI system making things up?

Answers are grounded in retrieved source material, the system is required to cite what it used, low confidence routes to a person instead of guessing, and accuracy is measured on a held-out set before launch and monitored after. A system that cannot say "I don't know" is not ready for production.

Where does our data go?

Wherever you decide. We can run entirely within your cloud account, use providers with zero-retention terms, or use self-hosted open models where the data cannot leave your infrastructure. This is a decision we make with you before anything is built, and it is written into the design.

We ran a pilot and it never shipped. Why?

Usually because the pilot proved the model worked and skipped everything else: error handling, permissions, audit trails, monitoring, cost control and the exception path. Those are the parts that take a demo into production, and they are what we build.

How do you price automation work?

Fixed scope for a defined automation, monthly for ongoing work. We size it against the measured cost of the manual process, so the payback period is a number you can see before you commit.

Free consultation

Have a automation & ai problem you need solved?

Bring us the problem rather than a specification. A senior engineer will look at it and tell you how we would approach it — the likely shape, the risks worth knowing about, and a rough range.

Book a free consultation Pick a time now

Or email info@eye4tech.com — a senior engineer replies, usually within one business day.

Free · 30 minutes · no obligation

Free 30-minute technical consultation

A technical opinion on your website, application or infrastructure
A review of an existing project — what is solid, what is risky, what it would take
A second opinion on an approach or a quote you have been given
An honest answer on whether we are the right people, and what to look for if we are not