Who We Serve — Sales Leaders
Your reps don’t hate selling. They hate updating the CRM. We fix that.
Every sales leader has heard the same complaint: the CRM is slow, the data is stale, and forecast calls are built on guesses because nobody updates deal stages in real time. Inner Join Technologies builds AI-powered sales technology designed around how your reps actually sell, including AI agents that handle the data entry so your team doesn’t have to. We work primarily in Dynamics 365, and we bring the same AI enablement approach to organizations running other CRM platforms as well.
Most CRM problems get blamed on the platform. The platform is rarely the problem. The real issue is that entering data into a CRM takes time away from selling, so reps avoid it, shortcuts get taken, and the data that leadership relies on for pipeline visibility and forecasting becomes unreliable. You end up with a system everyone was promised would create visibility, and instead it creates more uncertainty because nobody trusts what is in it.
The fix is not more training or more mandates to “use the CRM.” The fix is removing the friction that makes reps avoid the CRM in the first place.
The pattern we see constantly
Inner Join Technologies designs Dynamics 365 Sales implementations around your sales process, not a generic template. But the bigger shift we bring is using AI to remove data entry from the rep’s job entirely. Instead of clicking through forms, your reps describe what happened in a conversation, and the AI agent handles the rest.
Reps talk to an AI agent the way they would talk to an assistant. “Create a lead for Sarah Chen at Acme Manufacturing, she’s interested in the Field Service module.” The AI agent creates the lead in Dynamics 365 immediately.
No forms, no dropdown menus, no lost time between calls.
We connect AI agents, including Claude, directly to Dynamics 365 using the Model Context Protocol (MCP), an open standard for connecting AI assistants to business systems.
MCP is not tied to a single AI provider, which means the same approach can work with the AI tools your team already uses, or new ones as they emerge.
Once the data is in Dynamics 365, we connect it to the documents your team needs — quotes, sales orders, contracts, and management reports — generated automatically instead of assembled by hand. We build this two ways, depending on what fits your environment best.
Structured, rules-based document generation triggered directly from Dynamics 365.
The AI agent drafts and formats quotes and contracts in the same conversation where the record was created, pulling live data straight from Dynamics 365.
A rep finishes a call with a prospect. Instead of opening Dynamics 365 and clicking through five screens, they tell an AI agent what happened — and a finished quote comes back.
Dynamics 365 · AI Agent
Connected via MCP
No CRM forms, no dropdown menus. The rep describes what happened on the call in plain language.
Connected through MCP, the AI agent creates the opportunity, attaches it to the right account, sets the close date, and flags it for a quote.
Either a Power Automate flow pulls the opportunity into a quote template, or the AI agent drafts it directly with a Claude Skill built for your format. Either way, the rep reviews a finished quote instead of building one by hand.
Data entry friction is one problem. A second, equally common one is harder to see: a rep loses track of where a conversation actually stands. Emails go unanswered, a meeting gets pushed and never rescheduled, and the deal just goes quiet. By the time someone notices, nobody remembers what was actually said, so the next outreach is a generic “just checking in” that rarely gets a response.
Because we connect AI agents to both Dynamics 365 and Microsoft 365 at the same time, the agent can look at the full picture: what the CRM says about the opportunity, and what was actually said across email and meetings. That combination is what makes the re-engagement suggestion useful instead of generic.
Dynamics 365 + Microsoft 365
Both connected
Opportunity stage: Proposal sent, awaiting response. Last activity 18 days ago.
John’s last email asked a pricing question that was never answered before the thread went quiet.
Suggested re-open: answer his open pricing question directly, then offer two specific times this week. Reference the volume he raised on the May call.
This works because the rep and their organization choose what the AI agent can see. Access to email and meeting data is controlled the same way any other Microsoft 365 and Dynamics 365 permission is controlled within your organization. The agent only reviews what it has been granted access to, and only does so when a rep or manager asks it to.
Pipeline data you can actually trust, because it reflects what is happening in real time, not what got entered during a slow afternoon.
Forecast calls based on accurate deal stages, not guesswork patched together from memory.
Reps spending more time selling and less time on administrative data entry.
Faster quote and document turnaround, because the documents generate from CRM data instead of being built manually.
A CRM your team adopts because it makes their job easier, not one they tolerate because they have to.
Let’s talk about where your CRM adoption is breaking down and what an AI-powered Dynamics 365 Sales solution could look like for your team.
Sales reps avoid CRM data entry primarily because it takes time away from selling and feels disconnected from how they actually work. When data entry is slow or disruptive, reps take shortcuts or skip it entirely, which leads to unreliable pipeline data and inaccurate forecasts.
AI agents connected to a CRM like Dynamics 365 can create and update records, such as leads, contacts, and opportunities, directly from natural language conversation. Instead of clicking through forms, a sales rep can describe what happened on a call and the AI agent enters the data automatically.
MCP (Model Context Protocol) is an open standard that allows AI assistants to connect to business systems like Microsoft Dynamics 365. Inner Join Technologies builds MCP connectors that let AI agents, including Claude, read and write CRM data such as leads, accounts, and opportunities directly through conversation.
Yes. Inner Join Technologies builds and uses MCP-based integrations that allow AI agents such as Claude to create and update Dynamics 365 records, including leads, contacts, accounts, and opportunities, based on natural language requests.
A sales leader should look for a partner that designs the CRM around the actual sales process rather than a generic template, addresses the root causes of poor CRM adoption such as data entry friction, and can demonstrate experience with AI-powered automation that reduces manual work for sales reps.
Dynamics 365 Sales improves pipeline visibility when the underlying data is accurate and current. Inner Join Technologies focuses on improving data accuracy at the source by reducing the friction of data entry through AI-assisted and conversational input, which in turn makes pipeline reporting and forecasting more reliable.
Yes. Inner Join Technologies builds quote and contract generation two ways. Power Automate flows generate documents through structured, rules-based automation triggered from Dynamics 365. Claude Skills give the AI agent itself the ability to draft and format quotes and contracts directly within the same conversation where the record was created, pulling live data from Dynamics 365. Both approaches are valid; the right choice depends on the client’s existing systems and preferences.
Yes. Inner Join Technologies connects AI agents to both Dynamics 365 and Microsoft 365 at the same time, so the agent can compare what the CRM shows about an opportunity against the actual email and meeting history with that contact. This allows the agent to identify where a conversation stalled and suggest a specific way to re-engage, based on what was actually discussed rather than a generic follow-up.
