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      AI agents built natively into Dynamics 365 are closing that gap, fast. This article distills what we see in live implementations: which agents matter, the value they unlock, and how to get to results in weeks, not quarters.

      Key takeaways

      • A Forrester Consulting Total Economic Impact study on Microsoft Dynamics 365 Customer Service found a 315% ROI over three years, with a payback period of less than six months.
      • ROI improves further when using Copilot Studio to build agents tailored to internal processes (e.g., contract processing, invoice tracking, HR onboarding).
      • These agents are configurable, secure, and governed, designed to work with your business, not change it.

       

      By end of 2026, 40% of enterprise applications will be integrated with task-specific AI agents, up from less than 5% today.

      Gartner

      August 2025

      Benjamin De Brabander Partner, Lead Enterprise Solutions & Powered Enterprise | Advisory
      Benjamin De Brabander

      Partner, Lead Enterprise Solutions & Powered Enterprise | Advisory

      KPMG in Belgium

      What is Agentic AI

      Most enterprise CRM implementations are sitting on an untapped asset: years of customer data, interaction history, and process knowledge. Agentic AI, embedded natively in Dynamics 365, turns that asset into autonomous action. At KPMG Belgium, we have moved beyond the experimentation phase. We are implementing AI agents in D365 for clients today, delivering measurable results within weeks, not quarters.

      Unlike traditional automation, agentic AI does not just execute rules. It reasons, prioritizes, and acts on behalf of your people. These are not chatbots. They are autonomous digital colleagues that work 24/7 across Sales, Customer Service, and Project Operations.

      In Dynamics 365, these agents now work to handle repeatable tasks, provide deep insights, and improve decision-making, allowing humans to focus on what truly matters.

      Agentic AI allows your teams to focus on the high-value, human-centered work that truly drives impact, like building relationships, solving complex problems, and creating innovation.

      Below, we share the specific agents we implement, the business outcomes they drive, and the approach we use to get you to value fast. If any of this resonates, we would welcome a conversation.

      • Lead Conversion

        10-20% higher conversion with AI-qualified leads.

        Forrester

      • Project Efficiency

        By 2027, companies that fail to establish AI-ready data foundations will suffer a 15% productivity loss as agentic systems falter.

        IDC FutureScape 2026, October 2025

      • Service Resolution Time

        50% reduction in case handling time with AI agents.

        Forrester TEI Study, Agentforce for Customer Service, 2025

      Six agents we are deploying today

      • Sales qualification agent

        Auto-qualifies leads based on interaction history, scoring rules, and customer signals.

      Value Delivered

      • Higher conversion rates from prioritized leads
      • Shorter sales cycles
      • Less manual screening by SDRs
      Estimated ROI
      • 4–6x ROI from higher conversion
      • Opportunity summary agent

        AI-generated summaries with risks, next steps, stakeholders, and win probability.

      Value Delivered

      • Saves hours/week in prep
      • Improves sales coaching
      • Standardizes deal hygiene
      Estimated ROI
      • Saves 5+ hrs/week/rep
      • +20% win rate (Forrester)
      • Customer intent agent

        Detects and routes incoming cases based on natural language intent.

      Value Delivered

      • Reduces misrouted tickets
      • Speeds up response times
      • Improves FCR (first contact resolution)
      Estimated ROI
      • 3–5x ROI from faster resolution
      • ↓ 40–60% in resolution time (Gartner)
      • Project forecasting agent

        Predicts project risks (budget, timeline, resources) using past performance and live data.

      Value Delivered

      • Enables proactive risk mitigation
      • Reduces project overruns
      • Improves forecasting confidence
      Estimated ROI
      • ↓ 10–20% cost overruns
      • ↑ delivery reliability
      • Resource matching agent

        Recommends best-fit people for project roles based on skills, availability, and history.

      Value Delivered

      • Improves resource utilization
      • Reduces manual effort
      • Balances workload fairly
      Estimated ROI
      • ↓ 25% agent onboarding time
      • ↑ deflection rate by 10–15%
      • Customer knowledge management agent

        Detects frequent issues and drafts KB articles for review.

      Value Delivered

      • Keeps knowledge base up-to-date
      • Reduces repeat tickets
      • Speeds up agent onboarding
      Estimated ROI
      • ↑ utilization by 10–15%
      • ↓ 60% in assignment effort

      *These results are based on benchmarks from Forrester TEI reports, Gartner case studies, and Microsoft customer implementations. Specific outcomes vary by industry and process maturity.

      One in four brands will see a 10% increase in successful self-service interactions by the end of 2026 - driven by growing trust in generative AI among decision-makers.

      Forrester

      Predictions 2026: AI Gets Real for Customer Service

      November 2025

      Persona-driven impact of agentic AI

      According to a recent study by Microsoft, Sales Representatives and Customer Service Representatives are among the top 40 occupations with the highest AI applicability score. Agentic AI will provide real business outcomes, without replacing people.

      • Low seller productivity
      • Unpredictable pipeline
      • Admin burden
      • Lead qualification automation
      • Opportunity insights
      • Sales forecasts
      • +20% Win rate
      • +30% Seller time
      • ↑ Forecast accuracy

      • High ticket volume
      • Inconsistent knowledge
      • Escalation risk
      • Intent detection
      • KB automation
      • Case summarization
      • ↓ Resolution time (40–60%)
      • ↑ CSAT
      • ↓ Escalations

      • Planning inefficiency
      • Budget overruns
      • Resource gaps
      • Risk prediction
      • Smart resourcing
      • Timeline optimization
      • ↓ Delivery delays
      • ↑ Utilization
      • ↑ Project margins

      • Data silos
      • IT backlog
      • Poor user adoption
      • Agents that span systems
      • Low-code agent creation
      • Integrated security & governance
      • ↓ IT support load
      • ↑ Adoption
      • ↑ Data consistency
      Agentic AI is moving from experimentation to business-critical implementation across CRM, ERP, and Service.

      Forrester

      2025 State of AI in Enterprise Software

      What we are seeing is Copilot, plus agents, disrupting business applications.

      Satya Nadella

      CEO Microsoft, Q2 FY2025 Earnings Call

      January 2025

      How KPMG delivers Agentic AI in Dynamics 365 as your trusted CRM partner

      KPMG sits at the intersection of two powerful capabilities: Big Four advisory strength and global Microsoft implementation expertise. This allows us to align your technology roadmap with real business outcomes from day one. Unlike a typical implementation partner, we embed agentic AI into your CRM and delivery processes as a core performance driver, not an afterthought. We connect technical rigor with change enablement, so your teams adopt faster, deliver more, and unlock value that generic implementations leave behind.

      The right place to start is an AI Impact Assessment: a focused exercise that surfaces your highest-value opportunities before you scale.

      AI readiness and impact assessment

      Our AI Impact Assessment helps you identify where agents will make a real difference, fast. We tailor it for Sales, Customer Service, or Project Operations, according to your priorities. Identify where AI agents will bring tangible ROI through:

      • Stakeholder interviews
      • Process review
      • ROI modeling and licensing fit
      • “Agent fit” mapping (e.g., Sales, Service, Project)
      • Quick-win roadmap (2-3 weeks)

      Agent implementation sprints

      Configure and embed Dynamics 365 agents into daily workflows including:

      • Solution design and agent setup
      • Security, data quality, and testing
      • Role-specific training
      • Performance dashboard setup
      • Governance and scale-out plan, 3–6 weeks per wave

      Most clients see results within 60 days from the project start.

      Your competitors are already running agents. Don’t let your CRM be the bottleneck.

      1. IDENTIFY

      We start by identifying your highest-ROI agent use cases in Sales, Service, or Project Operations.

      2. MODEL

      Next, you'll receive a tailored ROI model and licensing-fit assessment.

      3. ROADMAP

      Walk away with a concrete quick-win roadmap. No commitment required.

      In a focused 90-minute session, we will map your top agent opportunities in Dynamics 365 and model the ROI at no cost. Limited slots available in Q3 2026. 

      Request AI Impact workshop

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