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Operate intelligently

Deep Microsoft specialization, without Microsoft bias

Azure, Power Platform, Power BI, Fabric, Microsoft 365 Copilot, Copilot Studio, Dataverse, Teams, and SharePoint — architected, governed, and honestly assessed.

Start a conversationSee how we work

When is the Microsoft platform the right choice, and when isn't it?

It is the right choice when your identity, data, and users already live in Microsoft 365 or Azure, when governance and compliance matter, and when internal teams need to maintain what's built. It is the wrong choice when you need a highly customized consumer-facing product, extreme scale at low unit cost, or a capability the platform only approximates.

Problems we solve

What this usually looks like from the inside

You're likely here because:

  • Environments multiplied, and nobody can say which apps are in production.
  • A Microsoft 365 or Azure investment is paid for and largely unused.
  • Solutions were built by hand in production, so there is no way to release safely.
  • Licensing costs rise and the reason is not visible to anyone who could act on it.
  • Every recommendation you receive happens to be the product the vendor resells.

What we build

Inside Microsoft Solutions

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.

Azure architecture
Cloud design decided against your workload, security posture, and operating budget rather than a reference diagram.
Power Platform applications and automation
Business applications and automated processes built with source control, environments, and a release path.
Power BI and Fabric analytics
Reporting on a governed semantic model, so two dashboards cannot disagree about the same measure.
Microsoft 365 Copilot rollout and adoption
Readiness, permissions hygiene, and the scenarios that make the license worth what it costs.
Copilot Studio agents
Custom agents with defined topics, grounding, escalation paths, and clear limits on what they will attempt.
Dataverse data architecture
A data model with real relationships, security roles, and reusable logic rather than a set of flat lists.
Teams and SharePoint solutions
Collaboration and document experiences with metadata and structure people can actually navigate.
Tenant governance, environment strategy, and ALM
Who can build what, where it runs, and how a change reaches production without someone editing it live.
Licensing and cost review
An honest look at what you are paying for, what you are using, and where the two do not match.

How we work

Verify, rank, decide, prove

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.

  1. Verify

    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.

  2. Rank by reach

    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.

  3. Decide in writing

    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.

  4. Prove it moved

    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

Where we have done this

  • How the operations lifecycle runs end to endRequest, approval, document generation and completion run as four stages of a single connected process, replacing spreadsheet and inbox handoffs. Operations leaders can see the whole lifecycle in one place.ONE LIFECYCLERequestApprovalDocumentCompleteVisible end to end, in one place.No spreadsheet handoffs, nothing lost in an inbox.

    Operations and field services

    Lifecycle Operations Platform

    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.

    • Intelligent Automation
    • Microsoft

    View case study

  • How the knowledge agent answers a questionA question reaches the agent, which answers only from approved sources and cites the source of each answer. Routine requests are handed on to the system that processes them.GROUNDED ANSWERSQuestionAgentapproved sourcesAnswerwith citationEvery answer cites its approved source.Routine requests route straight into your systems.

    Research and healthcare

    Enterprise Knowledge Agent

    A governed Copilot Studio experience that answers policy and procedure questions from approved sources, cites where each answer came from, and hands routine requests straight into the systems that process them.

    • AI Agents
    • Microsoft

    View case study

Technology we use here

Product names are used descriptively. We select against the problem, not against a reseller agreement.

  • Azure
  • Power Platform
  • Power BI
  • Microsoft Fabric
  • Microsoft 365 Copilot
  • Copilot Studio
  • Dataverse
  • Teams
  • SharePoint

How an engagement is packaged

Engagement model
Assessment, then a scoped build or a governance engagement
Typical duration
One to two weeks for the assessment

An assessment produces an environment and licensing picture with a prioritized set of actions. You can act on it with us or without us — it is yours either way.

How we scope and engage

Questions

Microsoft Solutions, answered

Are you a Microsoft Partner?

The founder is a former Microsoft MVP. That award recognizes community contribution and technical expertise; it is not a commercial partnership tier, and it is awarded a year at a time. We do not claim any partner designation on this site, because we publish only what we can evidence. If a designation matters to your procurement process, ask and we will tell you exactly where we stand.

Do we need premium licenses?

Sometimes, and it is worth establishing that early rather than at the end. Premium connectors, Dataverse, and several governance capabilities sit behind premium licensing. We scope against what you already own first, tell you plainly when a requirement crosses that line, and quantify what the upgrade buys so it is a decision rather than a surprise.

How do you govern Power Platform sprawl?

With an environment strategy and a policy about who can create what, applied before the sprawl rather than after. Practically that means separate development, test, and production environments, data loss prevention policies scoped per environment, solutions moved by pipeline instead of by hand, and a periodic review of what exists and who owns it.

Can you work in GCC or GCC High environments?

Sovereign and government clouds differ from commercial in feature availability, connector support, and release timing, and a design that works in one may not be available in the other. Tell us which environment you operate in at the outset and we will confirm what is and is not supported there before anything is committed to a scope.

How do you handle environment strategy and ALM?

Solutions are developed in a dedicated environment, versioned in source control, and promoted to test and production through a pipeline. Nobody edits production directly. This is unglamorous and it is the difference between a platform that can be changed safely in two years and one that everyone is afraid to touch.

Will our internal team be able to maintain it?

That is a design constraint we ask about in the first conversation, because it changes what we build. If your team is comfortable in Power Platform, we build in a way they can extend and we document accordingly. If the capability is not there yet, we either keep the solution simpler or include the enablement — but we do not quietly build something only we can maintain.

Related reading

Next step

Tell us what needs to change.

Describe the problem rather than the solution. We will tell you what we would do first, how long it takes, and what it costs.

Start a conversationSee how we scope and engage

We reply to every message, usually within one business day.
info@aqlyst.ai · (901) 232-2944