Custom AI-Powered Apps
Custom internal tools and dashboards that replace the spreadsheets, shared inboxes and copy-paste your operations depend on.
What you get
Every growing company has a few spreadsheets that quietly run the business. The production schedule. The commission calculator. The returns tracker. They start as quick fixes and turn into systems nobody designed, with broken formulas, version conflicts and one person who knows how they work.
We build custom internal tools that take over that work properly: a real database, screens designed for each role, approvals and permissions, and a history of every change. They connect to the systems you already use, so data comes in automatically instead of being pasted.
Where it helps, we add AI. A tool might read incoming PDFs and pre-fill a form, summarize a long customer thread before an approval, or write a plain-English note on what moved in this week's numbers. A person still makes the decision. The tool just removes the typing.
Internal tools are the most common thing we build within our custom AI apps work, because they pay back fastest: the users are your own team, the scope is clear, and the time saved shows up within weeks.
The problem
Spreadsheets are brilliant for working something out. They are poor at being the permanent system for a process that several people depend on every day. The warning signs are familiar:
Generic tools like Airtable or Retool can help, and we'll suggest them when they fit. But once you need custom logic, strict permissions, outside users or deeper integrations, a purpose-built tool is usually easier to live with. It's also the natural next step after reporting automation when you want people to act on the numbers, not just read them.
What we build
Discounts, refunds, purchase orders and credit requests routed to the right approver by rules you set, with reminders, comments and a full history.
Price calculators that apply your cost data, customer tiers and margin rules, then generate a quote document and push it to your CRM.
Live views of orders, stock, jobs or cash, pulled from your systems into one database and filtered by role, location or team.
Screens to manage customers, products, contracts or assets that your main software doesn't handle well, with bulk edits and safe imports.
Upload a PDF, email or photo and the tool pre-fills the form using an LLM, highlighting low-confidence fields for a person to check before saving.
Daily or weekly digests sent to Slack, Teams or email with key numbers and a short written note on what changed and what needs attention.
Scenarios
A manufacturer schedules jobs in a shared spreadsheet. A planning tool shows machine capacity, pulls open orders from the ERP, flags material shortages and lets supervisors drag jobs between days with every change logged.
Support agents request refunds over a set amount in Slack. A tool collects the order details from Shopify, shows the customer's history, and routes the request to a manager who approves in one click.
Finance matches payouts from Stripe and PayPal against invoices in Xero. The tool imports both sides, auto-matches clear cases and leaves a short queue of exceptions with suggested matches for a person to confirm.
A logistics team checks four carrier websites for shipment status. A dashboard pulls tracking data through carrier APIs, highlights late deliveries and drafts the customer update email for review.
How we build it
We begin by sitting with the people who do the work, either in person or over a screen share. We look at the actual spreadsheet, the actual inbox, and the exceptions that make the process messy. That's where most of the design decisions come from.
A typical internal tool is in use within 4–8 weeks. Permissions, audit history and backups are built in from the start, because internal tools often handle the most sensitive data you have: pricing, margins and payroll.
Want a sense of how we run projects week to week? See our process, or look at examples of our work.
Sometimes you should, and we'll say so. Those tools are great for simple internal apps. Custom code makes more sense when you need complex logic, outside users, strict permissions, heavy integrations, or want to avoid per-seat pricing as the team grows.
Yes. We clean and import historical data as part of the project, and flag inconsistencies we find along the way so you can decide how to handle them. We test the import on a copy before the real switch-over.
Yes. We build responsive web apps, so warehouse staff, technicians or managers on the move can use them in a mobile browser without installing anything.
We define roles with you, such as viewer, editor, approver and admin, and enforce them in the database as well as the interface. Sign-in can use your Google Workspace or Microsoft accounts.
No. Many tools are mainly about structure: a proper database, approvals and reports. We add AI for specific jobs like reading documents or summarizing threads, and only when testing shows it is accurate enough to be useful.
Send us a description of the process, or even a screenshot of the sheet. We'll suggest what a first version of the tool could look like and how long it would take.
We pick tools for your situation, not ours. These are the ones we reach for most on this kind of work.
How we built a deterministic, explainable rules engine that scores Shopify return and refund requests, shows the reasons behind every score, and never declines a customer automatically.
Read the storyHow we designed a rep portal, territory rules and an append-only commission ledger on top of Shopify's native B2B, built so the numbers stay correct after refunds and edits.
Read the storyWe don't just build for clients. These are our own products, used by real stores. See all products.
The sales rep portal Shopify B2B is missing — reps order at contracted pricing, and commissions calculate themselves.
Product registration, serial numbers, and warranty claims — one app, fully automated on Shopify.
Human-in-the-loop design lets you put AI to work on real processes while people stay in charge of the decisions that matter. Here are the patterns, thresholds and review screens that make it work.
A practical framework for deciding whether to buy another SaaS product, configure a low-code tool, or build a custom internal tool, including the costs people forget on both sides.
A fair, practical comparison of n8n, Make, Zapier and custom code for business automation, including how each handles AI steps, scale, hosting and long-term maintenance.
Tell us how it works today. We'll tell you honestly what's worth automating, what it would take, and what it would cost.