Build intelligently
Cloud application architecture, APIs, identity, and system integration designed for security, observability, and predictable operating cost.
Three things: it fails loudly rather than silently, it can be retried safely without duplicating data, and someone other than the original developer can diagnose it. That means structured logging, alerting on failure, idempotent operations, and documented ownership — decided before the first line of integration code.
Problems we solve
What we build
Each of these is a definition rather than a label — if a term below is not what you thought it meant, that is worth a conversation before a proposal.
How we work
The same four steps on every engagement. Nothing is scoped until the current state has been checked against the running system rather than taken from a report.
We check the running systems and the live data ourselves before agreeing what to build, because a status report or a closed ticket is a claim rather than a measurement. One to two weeks.
We count how many users, records, and configurations each problem actually touches, and that count sets the order of work rather than how large the fix looks. We try to refute our own findings first, and tell you which ones did not survive.
Before building starts you get a written scope that separates what you asked for, what we chose, what we are assuming but have not proven, and what we are deliberately leaving out. Nothing starts on an assumption nobody agreed to.
Work arrives in slices, and each one carries a before-and-after measurement of the thing it was meant to change, because a passing test shows only that the test ran. Two to four weeks per slice, closing with a written record of what was verified.
Proof
Membership services
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
Regulated services
An Azure service that classifies and extracts data from inbound documents, routes low-confidence cases to a human, and writes verified results into the business system.
View case study
Product names are used descriptively. We select against the problem, not against a reseller agreement.
A review produces a documented architecture, the risks in priority order, and a cost picture. Build work is scoped from that rather than from a guess.
Questions
By attributing spend to workloads and owners from the first deployment, setting budget alerts before anything is live, and choosing services whose cost model matches the usage pattern. Most surprise bills come from a component that scales on a dimension nobody was watching — the fix is knowing which dimension that is before it moves, not after.
Yes, and incrementally is usually the only version that finishes. We identify seams in the existing system, move one capability at a time behind a stable interface, and keep both paths running until the new one is proven. It takes longer on paper than a rewrite and is far more likely to reach production, because the business keeps operating throughout.
With one identity provider as the source of truth and every system federating to it, rather than each application maintaining its own user list. In a Microsoft estate that is normally Entra ID. The test of a good identity model is whether removing someone from one place removes their access everywhere; if it does not, the model is a list of exceptions.
Secrets live in a managed vault, are referenced by the application at runtime, and never appear in source control, configuration files, or a deployment script. Where the platform supports managed identity, we use it and there is no secret to store at all. Rotation is set up at the start, because a rotation process designed after a leak is designed badly.
Usually. We work most often in Azure, and we integrate regularly with systems that are not — other clouds, on-premises databases, and third-party platforms. What matters more than the hosting is whether the boundaries are documented and the credentials are managed. Tell us what you run and we will tell you honestly what we can and cannot take on.
Next step
Describe the problem rather than the solution. We will tell you what we would do first, how long it takes, and what it costs.
We reply to every message, usually within one business day.
info@aqlyst.ai · (901) 232-2944
