AI CRM and Sales Solutions

We rebuild your sales architecture, whether its lead capturing to revenue recognition, unifying Dynamics 365, data, and AI driven functionalities into one growth engine. Leverage real-time insights & intelligence recommendations to build robust relationships, acquire new customers, and improve revenue generation.

We Plan and Build Around AI to Fix Your Problems

Every AI sales automation solution available isn’t the answer to your problems. Integrating AI solutions without understanding the challenges and business processes first leads to forced adoption.

Disparate Pipeline Data

When working manually forecasts are rebuilt into Excel every month end or quarter because reps enter deals inconsistently which means stage definitions are interpreted differently by every manager. Leadership makes growth decisions on numbers nobody can defend.

Data Silos

Sales, marketing, and finance departments don’t have the complete picture of the same account. No one, including your AI tools, can see the complete details related to marketing attribution, sales pipeline, billing history, and support desk interactions, so recommendations and forecasts are built on incomplete information.

Shadow IT and CRM Shelfware

Instead of working within the designated CRM, representatives bypass rigid workflows and manage deals in private spreadsheets, messaging apps, or local notes. When the actual selling happens outside the system, your AI loses complete visibility into the true mechanics of the deal.

Unplanned Automation

AI sales automation workflows get built around how the team works today, not how the business should operate. The result is faster execution of the wrong process, and a harder problem to unwind later.

Disconnected Departmental Operations

CRM and ERP operate as separate systems of record. Revenue recognition, billing, and forecasting run on reconciliations instead of a single source of truth, costing finance days at every close.

Outcomes of AI in Sales and Marketing Solutions with DynaSUM

AI can revolutionize sales, but at DynaSUM we don’t just run marketing automation campaigns; our services and solutions move through incremental stages where each builds the foundation for a robust CRM, sales, and marketing ecosystem

Data Foundation and Unification

We replace fragmented and disconnected spreadsheets and siloed systems and unify your operational data through Microsoft Fabric and structuring it with Dataverse. This ensures every workflow, approval, and handoff is mapped into a single and governed source of truth that works effortlessly even with real-world sales pressure.

Dynamics 365 Sales

We close the gap between marketing signals and sales execution. By integrating Dynamics 365 Customer Insights with Dynamics 365 Sales, we consolidate behavioral data, engagement history, and CRM updates. This provides your revenue teams with real-time intent data and personalized communication triggers, transforming cold outreach into highly contextual conversations.

Copilot Integration

Like every LLM, Copilot Studio works as intended when it has clean, structured, contextual data added to the training models and backend systems. We integrate it directly into your representatives’ daily workflow and help them draft follow-ups, summarize calls, and flag at-risk deals.

Build Custom AI Agents

We build and train custom AI agents using Copilot Studio and connect them to Power Automate trained on accurate data related to your product catalog, pricing rules, and sales playbook for executing complex backend workflows. These custom agents qualify inbound leads, draft specialized proposals, and route escalations autonomously, returning critical selling time to your representatives.

Predictive Forecasting

The DynaSUM team replaces static monthly reporting with live Power BI dashboards, which are integrated directly into the data model. Using continuous intelligence, the executive teams get real-time pipeline visibility, predictive deal scoring, and quarterly data quality edits giving them a complete picture of all operations and insights on how to architect revenue generation that scales.

Engineering AI CRM and Sales Automation for the Executive Board

Every role on your leadership team measures success differently. Our architecture is built to satisfy all of them at once, because a solution that only works for Sales isn’t a solution; it’s a liability waiting for the next board meeting.

Challenges They Face:

Forecast accuracy and pipeline predictability

How DynaSum Solves It:

Unified pipeline data and AI-driven deal scoring replace gut-feel forecasting with numbers the board can act on.

Challenges They Face:

Representative capacity lost to admin work

How DynaSum Solves It:

AI agents handle data entry, follow-ups, and CRM updates, returning up to 30% of seller time to active selling.

Challenges They Face:

Disconnected revenue and financial reporting

How DynaSum Solves It:

Direct integration between Dynamics 365 and finance systems closes the gap between sales activity and revenue recognition.

Challenges They Face:

Data governance and system sprawl

How DynaSum Solves It:

Microsoft Fabric consolidates fragmented data sources into one governed architecture, no shadow IT, no duplicate systems of record.

Challenges They Face:

Scalability of AI without technical debt

How DynaSum Solves It:

Custom AI agents built on Dataverse and Copilot Studio scale with your product and pricing changes, not against them.

Tech Stack We Use for AI CRM and Sales Automation

Dynamics 365 Sales

Dynamics 365 Customer Insights

Microsoft 365 Copilot

Copilot Studio

Power Automate

Power BI

Microsoft Fabric

Dataverse

FAQs

1. How is DynaSUM, the best Microsoft solutions partner for transforming the Sales & Marketing department?

Most partners in the industry today deploy the software and hand you the keys. However, at DynaSum, we start with your business process, rebuild your data architecture, and stay on as a managed services partner while covering technology, AI, and back-office operations under one accountable team.

2. We already have Dynamics 365 deployed. Can you improve it without a full rebuild?

Most of our engagements at DynaSum begin with assessing your existing environment. Our experts check data quality, adoption gaps, and process fit and then share recommendations related to what to rebuild versus what to optimize in place.

3. How long does it take to see results after deploying AI agents?

Initial results are visible within 60 to 90 days, first in time savings for your admin department as AI takes over the repetitive tasks and lead generation. Pipeline accuracy and forecasting improvements build over two to three sales cycles as the data foundation matures.

4. Will automating sales and marketing require a large upfront investment before we see any ROI?

Your investment in building the best in market sales and marketing solutions depends on the requirements. However, at DynaSum, we don’t require a large upfront investment because we work in phased engagements and the first step is always assessment of your existing infrastructure. Based on the scope of work, we share the general estimates.

5. How do you handle data security and governance during integration?

All architecture is built on Dataverse and Microsoft Fabric, which enforces role-based access, audit trails, and compliance controls natively. We don’t introduce third-party data layers outside the Microsoft governance model.

6. What happens after the AI agents and Copilot are deployed?

Once deployed, we provide continuous optimization and management services, including performance monitoring, model retraining as your business changes, and quarterly data quality audits, because AI systems degrade without active ownership.

Still have questions?

We’re happy to help. Reach out to discuss your needs, challenges, and how AI can fit your business.