Every organization has processes that do not fit the software it owns: the approval chain that lives in email, the intake form that becomes a spreadsheet, the operational workflow held together by one employee's memory. The usual answers are bad ones — buy a platform you do not need, wait eighteen months for IT backlog, or let another shadow spreadsheet take root.
HarjTech's Build & Integrate service builds purpose-built applications on the Microsoft stack — Power Apps, Power Automate, Dataverse, and Power Pages — designed around your process, integrated with your systems, and governed from the first day. These are production applications, not prototypes: versioned, documented, tested, and handed over with the operating model to keep them healthy.
Operations, IT, and business leaders who need a working application in weeks — not a platform evaluation that takes quarters.
Off-the-shelf platforms are designed for the average organization. Your process is not average — it carries your history, your regulatory obligations, your approval chains, and your exceptions. The result is predictable: a platform that covers eighty percent of the process and requires customization, workarounds, or process changes for the remaining twenty percent — the twenty percent that usually matters most. Purpose-built applications invert that. They are designed around your process as it runs, including the exceptions and edge cases that a generic platform treats as out of scope. The application fits the work, not the other way around.
That does not mean building everything from scratch. It means building on the platform you already own — Power Apps, Dataverse, Power Automate — where the infrastructure, identity, and security already exist. The build is the application layer: the screens, the data model, the workflows, the integrations. You are not buying a platform. You are buying a working application on a platform you already pay for.
Production-ready is a standard, and it is worth stating plainly. It means the application is versioned, so changes are tracked and reversible. It means it is documented, so someone other than the builder can support it. It means it is tested — with your users, against real scenarios, including the exception paths — before it goes live. It means it is secured: Dataverse security roles, environment strategy, DLP alignment, and an owner. And it means it is handed over with the operating model to keep it healthy: who supports it, how changes are made, and what happens when something breaks. A prototype meets none of these. A production application meets all of them. HarjTech builds the second kind.
The application enters your governed estate, not your shadow IT. Environment strategy, DLP alignment, application lifecycle management, and ownership are established during the build — not retrofitted after the app is already load-bearing. This is the difference between an application that IT discovers during an audit and one that IT already knows about, because it was built inside the governance model. Your IT team gets visibility and control. Your business team gets a working application. Neither has to compromise.
Process walkthroughs and requirements, then a solution design your stakeholders sign off on: data model, screens, integrations, security, and governance.
Phase one is discovery and design. Walkthroughs are held with the people who perform the process — the ones who know the exceptions and workarounds — and requirements are captured in plain language. The solution design follows: data model, screens, integrations, security model, and governance model. Your stakeholders review and sign off on the design before the build starts. This is the decision point that prevents the most common build failure: an application built on a misunderstood process. The design is the contract. Everything after it is execution.
Iterative build in short cycles with working software shown early. Your team tests as we go — no big-bang reveal at the end.
The build runs in short cycles, with working software shown early and often. Your team sees the application taking shape — screens, flows, integrations — while there is still time to change direction cheaply. Testing happens as we go: each cycle is tested against the scenarios it covers, and your team tests alongside. There is no big-bang reveal at the end, because the big-bang reveal is where surprises live. By the time the build phase ends, your team has already used the application and already given feedback on it.
UAT, deployment, training, documentation, and knowledge transfer. The application enters your governed estate with an owner and a support path.
Launch is a process, not a moment. User acceptance testing runs against real scenarios with real data, and defects are resolved before go-live. Deployment follows the ALM path established during the build — versioned, repeatable, and reversible. Training is built around the users' actual work, not a generic feature tour. Documentation and knowledge transfer hand the solution to your team with the capability to maintain it. The application enters your governed estate with a named owner and a support path — and the spreadsheet it replaced is retired, not left running in parallel.
Three decision points keep the build honest. At the end of design, stakeholders sign off before the build starts. During the build, each cycle is reviewed with your team while changes are still cheap. At launch, UAT is the gate — the application goes live when users have verified it, not when the build schedule says it should. At every point, the client experiences working software early and has the authority to redirect it.
Each phase ends with a gate. Design ends with stakeholder sign-off. Build ends with cycle reviews and tested software. Launch ends with UAT. Changes are cheapest at the design gate and most expensive after launch — which is why the gates exist, and why your team sees working software early, while direction is still cheap to change.
The data model is the foundation: everything — apps, flows, integrations, security — sits on it. A weak data model produces an app that cannot grow, flows that break, and security that cannot be enforced. ALM and environment strategy are what make the application production-ready rather than a prototype. UX design is what makes it used rather than worked around. The capabilities combine into a single standard: an application that is built properly, governed from day one, and maintainable by your team.
Fixed-scope build packs. Each application is scoped, priced, and delivered as a defined pack with acceptance criteria. Engagements can follow an assessment (the assessment's roadmap becomes the build backlog) or stand alone. Investment is confirmed on the scoping call.
Fixed-scope means the application, the deliverables, the timeline, and the investment are agreed before the build starts. The solution design is part of the scoping: you know what will be built, what it will integrate with, and what acceptance looks like before you commit. Acceptance criteria are explicit — the application is accepted when it passes UAT against the scenarios agreed in design, not when HarjTech declares it finished.
Engagements can follow an assessment, in which case the assessment's roadmap becomes the build backlog: each roadmap item is scoped as a build pack, and you proceed item by item, in priority order. Or they can stand alone, when the application is already well understood and the design work is part of the pack. Either way, the structure is the same: design, build, launch — with a sign-off gate between each phase.
After launch, the application is yours — documented, handed over, and governed. If you want ongoing support, a managed-services arrangement can cover maintenance, enhancements, and the governance routines that keep the application healthy. If your team will maintain it, the knowledge transfer and documentation are built to make that work. The scoping call determines the shape: what to build, how it will be accepted, and what happens after launch.
It starts with a scoping call: the process, the pain, and what a working application would change. The solution design is part of scoping — you know what will be built, what it integrates with, and what acceptance looks like before you commit. Design, build, and launch each have a sign-off gate. After launch, the application is yours: documented, handed over, and governed.
The pattern repeats in every organization of any size. A team builds a spreadsheet to track something the system of record cannot. The spreadsheet works, so it spreads. Soon it is the system of record — unaudited, unversioned, and one accidental sort away from disaster.
The answer is not more tools. It is the right application, built properly, on the platform you already own.
It starts innocently. A team needs to track something the system of record cannot — a specific approval, a local workflow, a dataset with fields the enterprise system does not have. Someone builds a spreadsheet. It works. Other teams adopt it. Someone adds macros. Someone links it to another spreadsheet. Within a year, the spreadsheet is load-bearing: reports are built from it, decisions are made on it, and the person who built it is the only one who understands how it works. Then that person leaves, or the spreadsheet breaks, or an auditor asks where the numbers came from — and the organization discovers that a critical process was running on an unaudited, unversioned file that nobody owned.
This is not a failure of the team that built the spreadsheet. It is a failure of the official path: too slow, too rigid, or too disconnected from how the work actually runs. The fix is not to ban spreadsheets. It is to give teams a path to a real application that is as fast as building a spreadsheet and governed from the start.
When IT has a two-year queue, business units do not wait. They work around IT — with spreadsheets, with shadow tools, with processes that live in email. Each workaround is rational in the moment and corrosive in aggregate. IT loses visibility. Security loses control. The organization accumulates a layer of unofficial systems that nobody governs and nobody can retire, because nobody knows they exist. Backlog paralysis does not just delay projects. It manufactures shadow IT.
Citizen-developed apps are often genuinely good — built by someone who understands the process intimately. But a prototype built for one team, in a personal environment, without a data model designed for growth, without security roles, without version control, and without an owner, cannot become a production application by declaration. It needs a path to production: a governed environment, a data model that scales, security designed in, and an owner. That path is part of what this service builds.