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AI Automation & Integration for Everyday Business Processes
Traditional automation follows fixed rules: if a field matches a condition, do this. That still works well for a lot of processes. AI becomes useful when the input is less predictable — a document that doesn’t follow a strict template, a request written in plain language, or a decision that depends on context a rule can’t fully capture.
Most of the automation we build combines both: rules-based logic where it’s reliable, and AI where judgment or interpretation is genuinely needed.
What We Automate
- Documents — invoices, forms, contracts and reports that need to be read and acted on.
- Approvals — requests that move through a chain of sign-offs.
- Requests — employee or customer requests that follow a repeatable pattern.
- Data movement — information that needs to move between systems that don’t natively connect.
- Notifications — updates that should reach the right person without someone sending them manually.
- Business workflows — multi-step processes that span more than one system or team.
What Codevision Technologies Built For You
Intelligent Document Processing
Many business processes still start with a document — an invoice, a purchase order, an application form. Intelligent document processing reads that document, extracts the relevant fields, and routes the result into the next step of a workflow, instead of someone manually retyping the same information into another system.
Workflow Automation
Workflow automation covers the steps from a request coming in to a business outcome being delivered — routing, approvals, status updates, and team handoffs. We typically use Power Automate as the underlying engine, adding AI only when a step needs interpretation rather than a fixed rule.
AI-Powered Process Automation
Understand the incoming request or document → Classify it by type → Extract the relevant information → Recommend a next action → Route it to the right system or person → Act, either automatically or after approval.
AI Integration Services
An automation or AI component is only as useful as the systems it can connect to, and we integrate AI capabilities across Microsoft 365 for document and communication workflows, SharePoint for content, and Dynamics 365 for CRM and business data.
Intelligent Document & Data Processing
As one practical example: an invoice arrives by email. The system extracts the vendor, amount and line items, checks them against a purchase order in the finance system, and either routes the invoice for approval automatically or flags it for manual review if something doesn’t match.
RPA & Existing Automation
Not every automation opportunity needs AI. If a process is fully rules-based — consistent inputs, consistent outputs, no interpretation required — traditional automation or RPA is often the simpler and more reliable choice.
When Automation Makes Sense
Automation is usually worth pursuing when:
Frequent, Repetitive Processes
A process is repeated often enough that manual handling adds up.
Duplicate Data Entry
The current process involves re-entering the same data across systems.
Variable Documents or Requests
Documents or requests vary enough that a rigid, template-based approach breaks down.
Clear Human Review Point
There's a clear point where a human should still review or approve the outcome.
Reduction in manual processing effort
Faster access to decision-ready insights
Workloads kept in-tenant
Deployments delivered
How we do automation-integration?
Implementation Process
Map
Map the current process, including exceptions and edge cases.
Identify
Identify where automation and AI genuinely add value.
Design
Design the workflow, including approval and exception paths.
Build
Build the automation and any AI components it requires.
Test
Test against real scenarios, not just the ideal case.
Deploy
Deploy with monitoring in place from day one.
Why Choose CodeVision?
We build automation as part of a broader Microsoft-based technology practice, which means the workflows we create fit alongside Dynamics 365, SharePoint and Microsoft 365 rather than operating as a separate system to maintain. We also apply AI selectively — where a process genuinely benefits from it — rather than defaulting to an AI-based solution for every automation request.
Part of a Microsoft Practice
Automation is built as part of a broader Microsoft-based technology practice, not as an isolated specialty. This means deeper familiarity with how these systems behave in real environments.
Fits Alongside Existing Systems
Workflows we create sit naturally alongside Dynamics 365, SharePoint, and Microsoft 365. There's no separate system layered on top that your team has to maintain independently.
No Extra System to Manage
Because automation is integrated rather than bolted on, it doesn't become another platform competing for attention. It works within the tools your teams already rely on daily.
AI Applied Selectively
We apply AI only where a process genuinely benefits from it, rather than defaulting to an AI-based solution for every automation request. The right tool is chosen for the task, not the trend.
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Frequently Asked Questions
Both, depending on the process. We use traditional rules-based automation where it’s sufficient and add AI where the input is variable enough to need interpretation.
Yes — through APIs, database connections or other integration methods, alongside Microsoft-based tools like Power Automate.
It’s routed to a person for manual review. We design exception handling into the process from the start rather than assuming every case will fit the automated path.
In some cases, yes — see our Microsoft Copilot & AI Agents page for how agents can initiate workflow actions within defined limits.