Power Apps
Canvas and model-driven applications for complex business processes, designed around real task flow rather than a form-by-form translation.
Power Platform
We build scalable business applications and operating systems on Power Apps, Power Automate, Power Pages, and Dataverse — with the governance, environment strategy, and application lifecycle management that keep them maintainable well past the first release.
The problem
If more than one of these is familiar, they are probably connected. We look for the underlying cause before proposing a build.
Capabilities
Canvas and model-driven applications for complex business processes, designed around real task flow rather than a form-by-form translation.
Workflow orchestration, approvals, notifications, document generation, and system-to-system integration with proper error handling.
Secure external portals, forms, self-service, and partner experiences with the identity and access model designed up front.
Secure relational data, business logic, granular permissions, and reusable architecture that other applications can build on.
Environment strategy, DLP policies, naming and ownership standards, capacity visibility, and a practical maker enablement model.
Managed solutions, source control, and deployment pipelines so changes move through development, test, and production predictably.
Delivery approach
A repeatable path from an unclear problem to a system someone owns. The lifecycle decisions happen early, where they are cheap.
Map the process, the systems of record, the people involved, and the constraints that will shape architecture and licensing.
Define the data model, security model, environment strategy, integration points, and reusable components before the first screen is built.
Implement in managed solutions with source control, iterate with the business, and validate against real data and real edge cases.
Structured testing, accessibility review, and pipeline-based deployment through non-production environments to production.
Monitoring, support handover, documentation, and a change process so the platform keeps improving without regressions.
Product names are used descriptively. The right combination is decided during design, not assumed at the start.
Outcomes
Requests, approvals, and handoffs move through a system with a visible status instead of an inbox.
Shared data, shared components, and a known environment model mean each new solution starts further along.
Source control and pipelines make it possible to change a production application without an outage or a rebuild.
Guardrails that are specific enough to satisfy IT and light enough that makers keep using the platform.
Power Platform • Automation
Multi-site operations business
A connected Power Platform solution replacing spreadsheet and inbox handoffs with a single request, approval, and document lifecycle that operations leaders can see end to end.
View case study
Websites & Portals • Power Platform
Membership and partner organisation
An authenticated self-service portal where partners submit and track requests directly against the system of record, removing a manual re-keying step from every submission.
View case study
Power Platform
Environment strategy, managed solutions, and pipelines are not bureaucracy. They are what makes a successful first app survivable when a second team wants it.
Ahmed Salih5 min read
Questions
It is a strong fit for business processes with structured data, approvals, role-based access, and integration with Microsoft 365 or Dataverse — that is where it delivers value far faster than custom development. It is a weaker fit for very high-volume transactional systems, highly specialised user interfaces, or workloads with unusual latency requirements. We make that call during discovery rather than defaulting to the platform, and we will say so when Azure or a custom build is the better answer.
Start with an inventory and an environment strategy. Knowing what exists, who owns it, what data it touches, and which items are business-critical tells you what to keep, what to consolidate, and what to retire. From there, the usual first move is establishing managed solutions and a deployment pipeline for the critical items, so future changes stop happening directly in production.
Badly designed governance does. The version that works gives makers a clear environment to work in, a small set of standards, reusable components they did not have to build, and a route to promote something once it matters. The goal is to remove the decisions that cause rework, not to add approval gates to every idea.
Yes. Integration usually happens through Dataverse, standard and custom connectors, Azure integration services, or APIs already exposed by your line-of-business systems. The important design work is deciding where data should live, which system is the source of truth, and how failures are handled — that matters far more than the connector itself.
Let's talk
Bring the problem rather than a specification. A short conversation is usually enough for us to tell you what we would do first — and whether we are the right people to do it.
Prefer email? info@aqlyst.ai