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What we build
Operational Power Apps your teams actually adopt — inspections, approvals, scheduling, asset tracking — backed by Dataverse and connected to the systems you already run. Power Automate flows that move work between people and systems without a human ferrying data. Power BI dashboards that answer questions live instead of in month-end decks.
The platform’s speed is real, but so are its failure modes: ungoverned app sprawl, connector chaos, one heroic maker who leaves. We set up environments, ALM pipelines, security roles and naming standards from day one, so speed never turns into shadow IT.
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Low-code where it fits, pro-code where it counts
We are engineers first, which changes what you get: custom connectors and Azure Functions where the low-code path runs out, honest advice when a requirement belongs in custom software instead, and clean integration between the two. You get one system, not a boundary dispute.
We also enable your own makers — training, review gates and a governed environment — so the platform keeps producing value after we hand over.
04 / Decrypted questions
Asked before every mission.
How fast can a Power Platform app ship?
Simple operational apps ship in 2–4 weeks; a governed multi-app suite with Dataverse modelling and automation typically lands in 6–9 weeks. Speed comes from the platform — predictability comes from scoping it properly.
Is Power Platform secure enough for regulated data?
Yes, when configured deliberately: Dataverse security roles, environment strategy, DLP policies and audited flows. Most risk in the platform comes from defaults left untouched — governance is the actual security feature.
What are Power Platform licensing costs?
Many scenarios are covered by Microsoft 365 seeded licenses; premium connectors and Dataverse capacity add per-user or per-app fees. We map licensing during Decrypt so the running cost is known before a single screen is built.
When is Power Platform the wrong choice?
Customer-facing products, extreme scale, or experiences that must be pixel-perfect — those belong in custom software. We build both, so you get the recommendation that fits the problem, not the one that fits our toolbox.