Automation & AI
Automation, tested before it touches your business.
We decide whether a process should exist before we automate it. Then we build it, run it beside the old way until it proves itself, and keep it maintained.
The order we work in
Decide first. Then automate.
- 01
Should this exist? Many processes get automated exactly as they are, including the steps nobody needs. We look first. Sometimes the answer is to remove a step, not to automate it.
- 02
What should a machine do, and what should a person keep? Judgment, relationships and exceptions usually stay with people.
- 03
Build it, with a named person in your business who owns it.
- 04
Test it at the gate (next section).
- 05
Keep it running: monitored, logged, maintained, and changed when the business changes.
Automating a broken process gets you a faster broken process.
The test gate
How we test before anything goes live.
Step 1
Sandbox
Built and checked away from live work, using real examples from your own records.
Step 2
Parallel run
Runs beside the old way. We compare the results until they match.
Step 3
Cutover
On a date you agree, with the old way ready to come back if it’s needed.
Step 4
Watched for 30 days
Every run logged and reviewed; exceptions go to the person who owns it.
Nothing reaches your business until it has passed the gate.
Where it pays
Where automation pays, and where it doesn’t.
| It usually pays | It usually doesn’t |
|---|---|
| The same data typed into two systems | A process that changes every month |
| Approvals that wait in someone’s inbox | Work that depends on judgment or a relationship |
| A report rebuilt by hand every week | Anything done twice a year |
| Follow-ups and reminders people forget | A broken process: automating it breaks it faster |
| Documents assembled from the same pieces every time | Anything nobody will own once it’s built |
What does one leak cost you?
$6,240a year
139 hours a year, gone to one repeated task.
Your numbers. An estimate, not a quote. Fifty-two weeks a year.
Pre-filled with the same order typed twice: four minutes, forty times a week.
AI, where it earns its place
AI for the work it does well.
Drafting from your own documents. Sorting and summarizing. Pulling facts out of forms and emails. Answering routine questions from a source you’ve approved. A named person in your business owns each use, people check what goes out until it has earned trust, and we tell you which tools see your data and on what terms.
We work in what you already run where we can, and add a tool only when the design calls for it. Microsoft 365 itself is run by our managed IT team: Microsoft 365 at opsworq.net
What’s underneath
- Workflow automation
- System integration
- API and data pipelines
- Document and approval flows
- AI agents where they earn it
Pricing
What it costs.
Small automations are hourly at $150. Larger ones are quoted per client and fixed in writing, with the test plan in the quote. Upkeep can sit inside an operations partnership.
Every rate, every termQuestions
Questions people ask.
Will automation replace our staff?
Our aim is to take the repetitive part of a job off a person, not the person off the payroll. What you do with the time is your decision.
Is our data used to train AI?
Not by us. Where a tool processes your data, we tell you which tool and on what terms, and we use business plans whose terms exclude training wherever that option exists.
Who’s responsible if an automation gets something wrong?
A named person in your business owns each one, we maintain it, and every run is logged, so a mistake can be traced and fixed.
What if our software doesn’t connect to anything?
Most business software can exchange data somehow: a built-in connector, an export, an email. When it truly can’t, we’ll say so and compare the cost of a workaround with the cost of replacing it.
Talk to us
Tell us what isn’t working.
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