Services · AI automation

AI for the repetitive work, people for the decisions.

Document OCR, AI-drafted quotes, and workflow automation that cut manual work without handing control to a black box. Uncertain results go to a person for review.

What we automate

Where AI saves real hours

Document OCR

Invoices, bills of lading, forms: fields extracted and written into your system.

AI drafting & quoting

Quotes, replies, and reports drafted from your data, for people to review and send.

Workflow automation

Systems connected with n8n and custom flows; multi-step agents with guardrails.

AI assistants

Chat and support assistants grounded in your own knowledge base, in English, Chinese, or Japanese.

Built-in control

People stay in charge

01

Confidence thresholds

Low-confidence results are flagged for review instead of guessed.

02

Traceable output

Every draft shows the source data it came from.

03

Exception queues

People handle the edge cases; the system handles the rest.

04

Measured against a baseline

We record the manual hours and error rate first, then compare after launch.

Case studies

AI in production

Process

From pilot to production

01

Workflow review

Pick one workflow and measure where the time goes.

02

Pilot

Automate the most painful step on real data.

03

Rollout

Connect to your systems and train the team.

04

Maintain

Monitor accuracy and tune as your data changes.

Instant estimate

Estimate your time saved

Tell us how many hours/week your team spends on manual process. We'll estimate the savings from automation.

Estimated savings
10 hrs/week

That's about 520 hrs/year

A rough estimate for budgeting. Real results depend on the process and the data; we measure your baseline before starting.

FAQ

How do we know it is worth doing?

We measure the baseline first: how many hours a week this process takes now, the error rate, and what one error costs. After automation we measure the same way. If a process cannot be measured, we will tell you not to automate it yet.

What happens when the AI gets it wrong?

Low-confidence results are flagged for a person rather than guessed at. Anything that reaches your customer, such as a quote or a reply, is approved by a person before it goes out.

Can our data leave our systems?

No, so the deployment is chosen around your rules: it can run in your own cloud account, or we limit which fields are sent to a model. The data flow is written down during the audit, before anything is built.

How soon do we see results?

A pilot is usually 4 to 6 weeks, scoped to one process and one document type. It is accepted against the baseline table, and only widened once it clears.

Our old system has no API. Can it still work?

In most cases yes. We have started from Excel files, email attachments and scans, and connected through file exchange or the database layer where needed.

A system to build,
or one that needs taking over?

Book a consultation →