Azure Logic Apps consulting services for the integrations IT has to own

What a Logic Apps engagement covers

Azure Logic Apps is Microsoft's cloud integration service: a workflow starts from a trigger such as an incoming HTTP request, a message on a queue, a file landing, or a schedule, then runs a series of actions against a library of managed connectors and any REST API. Microsoft's Azure Logic Apps overview (opens in new tab) describes it as a platform for automating and orchestrating integrations across apps, data, and systems without managing servers, and that is exactly the tier this service builds: the integration layer that IT owns, runs in the organization's own Azure subscription, and keeps working regardless of who is on staff.

Our engagement is the build, not an advisory deck or a license resale. Deliverables are the workflows themselves, the connections and managed identities they authenticate with, the integration account and partner agreements where B2B is involved, the queues and API front door where reliability or exposure demands them, the source-control repository and deployment templates, monitoring and alert rules, and written documentation of what runs when and what to do when a run fails. The work is performed remotely by senior US-based engineers from our Orange County, CA base, serving every US state, at a fixed fee agreed after your free consultation.

Where Power Automate stops and Logic Apps starts

Both products share the same workflow designer and much of the same connector library, which is why the question comes up on almost every project. The difference is ownership, licensing, and limits. Power Automate flows are owned by a user, licensed per user or per flow, and subject to daily Power Platform request limits; they are the right tool for approvals, notifications, and the personal productivity work our Power Automate consulting service delivers. Logic Apps workflows are Azure resources: owned by a subscription and a resource group, secured with Azure role-based access, billed on consumption or a hosting plan, and deployable through the same pipelines as the rest of your cloud estate. When a flow has quietly become critical infrastructure, this is the tier it should have been built on. If you are making that call before anything is built, our side-by-side guide to Power Automate vs Azure Logic Apps works through the workload-shape test, the two billing models, and the cases where the right answer is one of each.

Consumption or Standard: choosing the hosting model

Logic Apps ships in two hosting models, and the choice is made in scoping because it shapes cost, networking, and how many workflows share a deployment. Microsoft's comparison of Consumption and Standard Logic Apps (opens in new tab) sets out the distinction. Consumption workflows run in Microsoft's shared, multi-tenant environment, one workflow per resource, billed per trigger and action execution; they are the economical answer for interfaces that fire a few hundred times a day. Standard workflows run in your own single-tenant App Service plan, host many workflows per app, support stateless execution for low-latency request-response patterns, and can join an Azure virtual network, which is what most private-endpoint and regulated scenarios require. We recommend one model per project and explain the running cost you should expect on your Azure bill before you approve the scope.

B2B, EDI, and replacing BizTalk Server

A large share of the integrations that outgrow Power Automate involve someone outside the organization. Retail customers send purchase orders as X12 850 documents and expect an 855 acknowledgement back; logistics partners exchange shipment notices; a healthcare payer wants claims over AS2. Logic Apps handles these through the enterprise integration capabilities documented in Microsoft's enterprise integration overview (opens in new tab): an integration account holds the trading partners, agreements, schemas, and maps, and the workflows decode, validate, transform, and route each document.

The same capabilities are why Logic Apps is the usual landing place for an aging BizTalk Server. Microsoft's guidance on moving from BizTalk Server to Azure Logic Apps (opens in new tab) maps orchestrations to workflows, pipelines and maps to built-in transforms, and adapters to connectors. Our approach is an inventory first: every orchestration, map, port, and partner agreement is listed, rated by business criticality and complexity, and migrated in phases with the old and new interfaces running side by side until each one is proven. Nobody is asked to cut over an entire integration estate on a single weekend.

What gets built for each integration pattern

Every estate is different, but the interfaces fall into a small number of shapes. The table below is the pattern library we work from; the inventory in your written scope is a filled-in version of it.

Monitoring, security, and the parts people skip

A workflow that runs is easy. An integration estate that someone can still operate in eighteen months takes three extra pieces of work, and they are the ones a rushed build leaves out. The first is error design: every workflow gets scoped error handling, retry policies matched to what the target system can tolerate, and a dead-letter path so a poison message is parked and reported rather than retried forever. The second is monitoring: run history is retained, failures raise Azure Monitor alerts to a real inbox or Teams channel with enough detail to say which step broke on which message, and Application Insights is wired in on Standard so latency and throughput are visible. The third is security: connections authenticate with managed identities wherever the target supports it, secrets that must exist live in Key Vault, and inbound endpoints are protected with keys or Microsoft Entra tokens rather than left open.

Who this fits, and what it pairs with

It fits organizations whose systems talk to each other through something fragile: a flow in a former employee's account, a scheduled script on a server under a desk, a CSV emailed to a partner every night, or a BizTalk Server that nobody wants to patch. It is scoped for small and mid-size organizations as one fixed-fee project with a stated end date, not an open-ended integration program.

It is deliberately not the whole cloud. Landing zones, server migration, and the cost work that follows are their own job, covered by our Microsoft Azure consulting service, and the two are often sequenced with the platform first and the integrations after. Nor is it a data pipeline: moving large volumes of data on a schedule into a staging area for reporting belongs to our Azure Data Factory consulting services, while Logic Apps handles the event-driven, transactional, and partner-facing exchanges. And where the integration needs a proper system of record to write into rather than a spreadsheet or a list, our Microsoft Dataverse consulting services build the tables and security model that the workflows here read and update. For the reasoning behind fixed fees before you speak to anyone, how our fixed-fee process works sets out scoping, delivery, and what happens after handover.

Delivery in three phases

The table shows scope and typical timeline rather than prices, because an honest number requires seeing your interface list and message samples first.

Everything produced is yours from the first day: the workflows, the integration account, the deployment templates, and the Git repository all live in your own Azure subscription and your own tenant, never in ours. Azure consumption is billed by Microsoft directly to you, separately from our fixed fee.