Claude and Copilot Integration
We implement and connect both Claude and Microsoft Copilot to your business systems, matching the tool to the task rather than forcing every use case through a single AI vendor.
Solutions — AI Enablement
AI strategy and implementation using the tools that fit your organization — whether that is Claude, Microsoft Copilot, or a custom-built agent designed around your own systems.
A lot of AI conversations stay conversations. Inner Join Technologies builds AI into real business workflows: agents that create records in your CRM from natural language, knowledge bases that answer employee questions from your own approved documents, and automation that removes the manual work nobody wants to do. We are not tied to one AI vendor, which means we build around what actually fits your organization.
Every organization has had the AI conversation by now. Far fewer have anything running in production. The gap is usually not ambition, it is execution: connecting an AI tool to the systems that actually hold your data, defining what the AI is and is not allowed to do, and building the workflow around it so people actually use it.
A chatbot bolted onto a website is not AI enablement. AI enablement is an agent that can create a lead in your CRM because a rep described a phone call in plain language, or a knowledge base that only ever answers from documents your team has actually approved.
Why AI stalls before production
We do not start every engagement with the same AI tool. We start with the problem, then choose the platform that fits: Claude, Microsoft Copilot, a custom Azure AI Foundry agent, or a combination.
We implement and connect both Claude and Microsoft Copilot to your business systems, matching the tool to the task rather than forcing every use case through a single AI vendor.
We connect AI agents to business systems like Dynamics 365 using the Model Context Protocol (MCP), an open standard that lets an AI agent create records, look up information, and take action through natural conversation — the same way you might ask a colleague to do something.
For processes that need a purpose-built agent, we build custom AI Foundry agents, including closed-book knowledge agents that are restricted to your own approved documents and cannot pull information from outside sources.
From document generation using Claude Skills to Power Automate flows triggered by AI-created records, we build the automation layer that turns an AI conversation into a finished result.
Connetic Ventures
We helped build AI-assisted deal screening that has supported the evaluation of approximately 4,000 companies, resulting in more than 160 investments. On the valuation side, AI applies Connetic’s existing, compliance-approved rules to generate valuation documents, which a human valuation committee reviews and approves before any decision is finalized.
AI accelerates the work. It does not replace the judgment.
Pension Corporation of America
We built an Azure AI Foundry agent that gives call center staff instant answers to plan document and procedure questions, pulling only from an approved, actively-managed knowledge base. The agent cannot access outside information. When it does not know an answer, it creates a case for a human to research and add, rather than guessing.
Inner Join Technologies
This website, including this page, was researched, designed, and written using AI-assisted web design, content generation, and SEO/AEO research — connected to Dynamics 365 Customer Insights for lead capture. We use what we build.
Inner Join Technologies’ founder has a disclosed relationship with Connetic Ventures. See the full case study for details.
A partner that works across AI platforms, not one locked into a single vendor’s roadmap.
AI workflows built with clear boundaries: what the agent can access, what it can do, and where a human stays in control.
Real, demonstrated work in regulated and compliance-sensitive environments, not just theoretical capability.
AI connected to the systems you already run, including Dynamics 365, Microsoft 365, and SharePoint, not a disconnected add-on tool.
Let’s talk about where manual work is slowing your team down, and what a real, working AI solution could look like.
AI enablement is the process of strategically implementing AI tools and agents into an organization’s actual workflows and business systems, rather than deploying AI as a standalone or experimental tool. It includes AI strategy, agent development, and integration with existing systems.
The Model Context Protocol (MCP) is an open standard that allows AI assistants to connect to business systems and applications. It enables AI agents to read and write data, such as creating records in a CRM, directly through natural language interaction.
Claude and Microsoft Copilot are both AI assistants from different providers (Anthropic and Microsoft respectively). Organizations often use different AI tools for different purposes rather than committing to a single platform, and both can be connected to business systems for different use cases.
Yes. An AI agent can be built as a closed system that only draws from an approved internal knowledge base, without the ability to pull information from outside sources, which is particularly important in regulated or compliance-sensitive industries.
Azure AI Foundry is Microsoft’s platform for building custom AI agents. It can be used to build internal knowledge base agents, workflow automation, and other AI-assisted tools connected to an organization’s own data and business systems.
