AI solutions and automation built around a real process, not a demo
We find where your team spends time on repetitive work and build automation, with AI only where it genuinely helps, connected to the systems you already run.
- Starts from your actual process
- Connected to your store and ERP
- Hourly, from $90/hr
Test drive our developers. 3 guaranteed hours of free development work.
Hand us a real task and our senior engineers do the first 3 hours on us. No obligation to hire us, just a straight look at how we work.
- Audit a page
- Fix accessibility issues
- Scope an automation
- Review your setup
Practical places to start
These are common starting points, not promises. Your own audit decides which ones are worth building.
Catalog and content drafts
Draft product descriptions, attributes and image alt text from supplier data, reviewed by a person before publishing.
Support triage and replies
Sort incoming messages by topic and urgency, and draft replies for an agent to check and send.
Documents into orders
Pull line items out of emailed purchase orders or supplier invoices and prepare them for review.
Order exception handling
Flag orders with address problems, stock mismatches or unusual patterns and route them to the right person.
Smarter site search
Help search understand intent and synonyms, so shoppers find products they could not find before.
Reporting summaries
Turn weekly numbers into a short written summary, with the source figures attached so you can verify them.
Rules first, AI where rules run out, a person where it matters
Trigger
New order, email, product
Rules
Handle what is predictable
AI step
Only for the unclear part
Human check
Review where it counts
System update
Store, ERP or tool
Plain rules are cheaper, faster and fully predictable, so we use them wherever they work. AI handles the text and judgment that rules cannot.
What we build in so it can be trusted
Accuracy
- Human review for anything customer-facing
- Clear limits on what the AI may change
- Sources shown next to generated answers
- Test sets built from your real cases
Safety and privacy
- You decide what data leaves your systems
- Customer details minimized in prompts
- Access limited by role
- Logs of inputs and outputs for review
Reliability and cost
- A fallback when the AI is wrong or down
- Cost per run tracked
- Error alerts to a named person
- Easy to turn off without breaking the process
From bottleneck to measured result
- 1
Process audit
We find where manual effort is really spent, and what a good outcome would look like in numbers.
- 2
Solution design
We choose the lightest approach: a rule, an existing tool, or a custom AI step, whichever fits the bottleneck.
- 3
Build and integrate
Development and connection to your existing systems, tested on your real cases.
- 4
Measure and refine
We compare results with the manual baseline, then adjust based on real use.
Three positions we hold
Boring beats clever
If a simple rule or an existing tool solves it, we will tell you, and it will cost you less.
A person stays in the loop
Where a mistake costs money or trust, a human checks before it goes out. Automation speeds up the work, not the responsibility.
Measure against today
We define success before building, so you can see whether it saved time or cut errors.
Frequently asked questions
What kinds of processes can you automate?
Common starting points are order handling, catalog and content workflows, support triage, document processing and reporting. Tell us where the manual effort is and we will say whether it is worth automating.
Do you build custom AI, or use existing tools?
Whichever fits. Often an existing AI service, wired into your systems properly, is the right answer. Custom work is only worth it when a standard tool cannot do the job, and we will say which case you are in.
Can AI make mistakes in our workflows?
Yes, so we design for it. That means human review for customer-facing or costly steps, limits on what the AI can change, logging, and a fallback if it is wrong or unavailable.
What happens to our data?
We decide with you what data is sent to which service, minimize customer details where we can, and limit access by role. We will explain the data flow in plain language before building.
Is this only for large companies?
No. Some of the most useful automation is a small fix for one repetitive task, which suits businesses of any size.
How do you measure whether it works?
We agree on measures before building, such as time per task or error rate, and compare after launch against how the work was done manually.
Get a quote for AI Solutions & Process Automation
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