AI takes the first pass. Your people keep the final say.
You can already name the workflow: the inbox that needs sorting, the notes that need writing up, the requests that need to reach the right person. We automate that repetitive processing with AI, and keep human review wherever the work has consequences.
For businesses across British Columbia, built from our Vancouver studio. And if your question is the bigger one, where AI belongs in your company at all, that is AI Consulting, a separate engagement with its own page.
One workflow, three moves.
Every workflow we automate has the same skeleton, whatever the business. The work keeps arriving the way it always did; the middle stops being manual; the judgement stays human.
Work arrives the way it always has
Emails, form fills, voice notes, photos of paperwork, messages from the field. Nothing about how work reaches your business has to change for the workflow to start.
AI does the repetitive processing
It reads what came in, then does the part a person used to grind through: sorts it, pulls out the details, writes the summary, prepares the draft, and lines it up for whoever handles it next.
A person reviews where it matters
Anything that leaves the business or carries a consequence waits for a human yes. Routine internal steps flow through, and everything the AI produced stays visible and correctable.
Worth knowing before you read on: rules move the work, AI processes the content. When a workflow only needs rules (a form arrives, a notification goes out), that is Business Workflow Automation, a separate and simpler service. This page is for the steps where something has to read the material first.
Point at the repetitive part of your week.
These are the workflows businesses bring us most, each one specific enough to picture. Yours does not have to match any of them exactly; it just has to be repetitive, frequent, and describable.
Intake sorting
Incoming requests get read, classified, and placed in the right queue with a short note on what each one is, so nobody starts the day by triaging an inbox.
First drafts of routine replies
Responses to the requests you answer over and over, drafted and waiting for a person to adjust and send. The blank reply box stops being the slow part.
Summaries of long material
A forty-message thread, a rambling document, or an hour of meeting notes becomes a short, faithful summary of what was said and what needs doing.
Notes into records
Rough notes, voice memos, and photographed paperwork turned into structured entries in the systems you already keep, instead of piling up as things to type in later.
Routing and handoffs
Work identified and passed to the right person with the context attached, so a handoff no longer depends on somebody remembering to forward it and explain it.
Recaps and roundups
A regular digest of what came in, what moved, and what is still waiting, prepared for you rather than assembled by hand from six different places.
Most engagements start with exactly one of these, built end to end, before anyone talks about a second. A single workflow that runs every day beats five that half exist.
Automation with a human backstop.
AI is very good at the repetitive middle of a workflow and unreliable at the edges, so we build for lower-risk business processes and keep review wherever a mistake would cost you something. That is not caution slowing the system down. It is what makes the system usable on day one.
Drafts stay drafts until a person approves them
A reply, a quote follow-up, or anything else headed outside the business is prepared by the AI and sent by a human. That order never flips.
Routine steps flow, consequential steps wait
Sorting, filing, and summarizing can run on their own because a mistake there is cheap to catch and fix. Steps with real consequences keep an approval point in front of them.
Everything is visible and correctable
You can always see what the AI did with an item and change it. A workflow you cannot inspect is a workflow you cannot trust, so we do not build those.
Some workflows should not be automated this way
High-stakes and heavily regulated work is not what this service is for. When a workflow is too consequential for AI to touch, we say so instead of building it anyway.
From a workflow you can describe to one that runs.
- 01
Name the workflow
You describe it in plain language: what comes in, what has to happen to it, who touches it, and where it drags. If you can explain it to a new hire, you can explain it to us.
- 02
We map the repetitive part
We work out which steps AI can take a first pass at, which systems it needs to read from and write to, and exactly where the human review points sit.
- 03
Build it against real work
The workflow is built and tried on your real emails, forms, and documents, not on tidy invented examples, so you see how it behaves on the messy stuff before you rely on it.
- 04
Run it with review, widen it slowly
It starts with a person checking more, not less. Review loosens only on the steps where the output has earned it, and the workflow grows only if the first one proves useful.
Make sure this is the right page.
AI Workflow Automation is deliberately narrow: a specific workflow, automated well. Two neighbouring services cover the readers we most often send onward.
The questions that come with every workflow.
Repetitive ones, frequent ones, and lower-risk ones: the work that follows a recognizable pattern but still needs something to read the content, like intake, drafting, summarizing, write-ups, and routing. If it happens every week and eats an hour each time, it is probably worth a look.
This page is for owners who can already point at the workflow they want automated. AI Consulting is the wider engagement for the earlier question: where AI belongs across your company, and what set of assistants and guardrails to design around that answer. If your question starts with where AI would even fit, begin there and it will lead you back here.
It depends on whether the content has to be understood. Rules move the work: when this form arrives, notify that person. AI processes the content: read this message, figure out what it is, and draft the response. If rules alone can carry your workflow, we point you at Business Workflow Automation instead, because the simpler tool wins.
No. Anything that leaves the business or carries a real consequence waits for a person to approve it. The AI prepares, organizes, and drafts; your people stay the ones who commit. That is a design rule, not a setting.
The starting position is always to build around what you already run the business on: your email, your forms, your spreadsheets, your CRM. We would rather fit the workflow to your tools than make your team learn new ones, and we only suggest a change when something truly cannot support the workflow.
It is scoped to the workflow, so it is priced after we have seen what the workflow involves, not before. The first conversation costs nothing, and you will leave it knowing whether the automation is worth building at all.
Start with the task your team dreads.
Describe it in a couple of sentences: what comes in, what has to happen to it, and where it drags. We will tell you plainly whether AI belongs in that workflow, and exactly what we would build if it does.