Custom software development, AI integration, systems integration and workflow automation for operations teams, delivered with the reviews, tests and audit trails production needs.
No pitch deck · Bring the process that annoys you most
Every one of them ships with the same standard: rules in the schema, humans on the irreversible steps, and an audit trail you can defend.
All servicesProduction web applications and internal tools (ERP, portals, dashboards, PWAs) built on Next.js and Postgres, deployed on infrastructure you own.
ExploreDocument understanding, extraction, classification and drafting wired into the systems you already run, with review steps, fallbacks and cost control designed in.
ExploreCustom software built with Claude Code under engineering review, and Claude Code set up for your own team: project rules, permissions, tests and a review process that keeps the speed without the surprises.
ExploreModel Context Protocol servers over your internal data and tools, built read-only first, with the same permissions, review steps and audit trail as the rest of your software.
ExploreBuilt an app with an AI coding tool? We audit it, close the security and reliability gaps, and take it to production, or tell you plainly when a rewrite is the cheaper road.
ExploreMap the process as it really happens, then rebuild it so the handoffs, approvals and data entry happen on their own, with an audit trail you can defend.
ExploreTwo-way syncs, webhook pipelines, parsers and internal APIs that move data between platforms reliably, including the ones with no native connector.
ExploreScenario design, rebuilds and rescues on the major workflow platforms, plus self-hosted runners for when the operations bill or the platform's limits stop making sense.
ExploreBoard and base architecture, CRM implementation, and the automations, portals and integrations that turn a licence into an operating system.
Explore
A regional trading & distribution group
Eighteen modules replacing a legacy desktop ledger, with supplier invoices captured by photograph, approvals that gate revenue, and a field-level audit log nobody can rewrite.
A fleet-telematics provider
Inbound orders parsed straight onto monday.com boards, installers allocated and notified automatically, and a two-business-day SLA engine with escalation, shipped behind a shadow-mode flag.
An Australian construction-materials marketplace
A public website and a signed-in marketplace in one codebase, with a home page that reads live supply to decide which side to argue for, prices held in the database, and contact details the server withholds until they are asked for.
A commercial solar installer
CRM, site records, surveys, quotes, consents and delivery in one system, where a deal covers as many buildings as the negotiation does, and winning it opens one project per building.
A UK event-staffing agency
Recruitment, right-to-work, rostering, check-in, pay and client paperwork for a large pool of zero-hours workers: three front ends over one Postgres database that refuses to break its own rules. Built and tested on staging, awaiting the client's content and keys.
A UK heat-pump installer
From website enquiry to a fixed-price quote with no site visit: a regulated sales platform where the noise assessment, the designer's sign-off and the statutory cooling-off period are gates the system enforces. In build.
Reviews as they were written, from engagements on Upwork, the platform work that funded the studio and still brings most of it in.
“Saveez has been awesome. I keep asking him to help with one thing after another because he just keeps doing amazing work. Airtable — 100%. Automations — 100%.”
“I've been on Upwork for 3 years and Sav is by far the best freelancer I have used. His attention to detail is second to none. Will keep using him for years.”
“Saveez did such a great job setting up Zapier automations between my app and email provider — everything runs smoothly now. Highly recommended.”
“Sav is great. Very knowledgeable and helpful — it has been a pleasure working with him on our systems.”
Mapping and proving are short on purpose, so a wrong assumption surfaces in week two.
Week 1
We trace the process as it is actually performed, including the workarounds, the exceptions, and the step that exists only to correct an earlier step. This is where a bad idea gets caught, before it is expensive.
Weeks 2–3
The riskiest assumption gets built first and put in front of real data. If a document parser cannot read your actual documents, that is worth discovering in week two.
Weeks 3–8
Delivery in reviewable increments on your own repository and your own infrastructure. Constraints go in the database, credentials go in environment variables, and everything that writes leaves an audit entry.
Weeks 8–10
New and old run side by side, with the new path logging what it would have done. Comparing the two on real work is what makes go-live uneventful.
Ongoing
You own the repository, the accounts and the deploy path from day one. Whether we stay on for changes is your decision.
Five groups, all of them run in production every week.
Where the workflows live, and where we rescue them when they break.
The systems your team opens every morning.
Models put to work inside real pipelines, with humans on the irreversible steps.
What we reach for when the software has to be built rather than configured.
Postgres, mostly, with the rules kept in the schema where they belong.
Zapier bills per task, Make in credits, n8n Cloud per execution. How to count your own units, and when each platform is the right choice.
In short
Airtable suits records that relate to each other; monday.com suits work that moves through stages with owners. Decide by your core object.
Read the articleDecision8 min readBuy by default. Build only when licence drift, integration tax and workaround cost, over your horizon, outweigh the cost of building and running it.
Read the articleYes, both. We build production web applications, internal tools and portals where off-the-shelf software runs out, and we add AI to the systems you already run: document reading, classification, drafting and agents, with a person confirming anything irreversible before it is written.
Yes. We build software with Claude Code under engineer review, and we configure it inside your repository with project rules, permissions, tests and a review routine, so your developers get the speed without unread changes reaching production.
Usually. We review what the AI tool produced, report the security and reliability gaps in plain language, and then harden it or, if the structure is the problem, scope a rebuild. You end up with software you own, on your accounts.
We build the systems that run operations: business process automation, AI put to work inside real pipelines, custom software where the off-the-shelf tools run out, and the integrations that make monday.com, Airtable, HubSpot, Make.com and Zapier behave as one system.
With a short call and then a mapping phase. The first week is spent understanding how the process is actually performed rather than how it is documented, which produces a written scope with a clear statement of what is not included. Plenty of engagements start smaller still: an audit of automations somebody else built, or a rescue of a scenario that keeps failing.
A focused automation or integration is typically two to four weeks. A custom application (an ERP module set, a portal, a platform) runs eight to twelve. The mapping and proving phases at the start are short on purpose, so that a wrong assumption surfaces early.
Work with them, by default. Replacement earns its place only when licence cost has overtaken the cost of ownership, or when the integration work required to make the tools cooperate has become larger than the thing itself. That is a calculation, and we will show it.
You do, from the first commit. Work happens in your repository and deploys to your accounts: your Vercel project, your database, your domain. There is nothing to untangle if you take it in-house or move to another partner.
Pakistan, on Pakistan Standard Time (UTC+5, no daylight saving). Working hours are arranged to overlap with Australian eastern, US Eastern, US Pacific and UK business hours, so there is a shared window with your team. In practice how the work is run matters more than where it is run from: deployed increments you can click every week, and written decisions rather than remembered ones.
Most of our projects land between $5,000 and $10,000 (US dollars). Larger systems cost more than $10,000. That is a typical range, not a quote: we quote after a discovery conversation, once we have seen the process, its exceptions and the systems involved. The quote says what is included and what is not.
Through Wise, PayPal or Payoneer for international clients, and by bank transfer (IBFT) for clients in Pakistan. The method is agreed at the start of an engagement.
A 15-minute call is usually enough to say whether this is an automation, an integration, or something that should be built, and whether we are the right people for it.
What happens on the call