Planners reviewing MRP alerts are doing the same triage in a fraction of the time.
Comprehensive Business Applications services powered by Microsoft Dynamics 365 — helping organizations streamline operations and drive digital transformation, from consulting to ongoing support.
The Dynamics 365 of 2026 is architecturally different from the one most organizations deployed. Copilot has moved from a chat-based assistant that answered questions to an agentic layer that reasons over your ERP and CRM data, breaks complex workflows into steps, and executes actions across Sales, Finance, Supply Chain, Customer Service, and Business Central with minimal manual intervention.
Organizations still running D365 the old way — navigating menus, running manual reports, treating Copilot as a novelty rather than an operational layer — are leaving the platform’s most significant productivity gains sitting unused.
Inabia implements, customizes, and optimizes Dynamics 365 business applications built around how the platform actually works today, not how it was documented three years ago.
Talk to our Dynamics 365 team today →Planners reviewing MRP alerts are doing the same triage in a fraction of the time.
Account reconciliation and collections workflows run with AI handling the pattern-matching.
Reps walk into calls with briefings pulled from CRM history, email threads and Teams at once.
Five recurring gaps between what the platform is capable of and how it ends up configured.
Implementations scoped around the old menu-driven interaction model, without a plan for how Copilot and agentic workflows change daily operation
Customizations built on top of the platform rather than through it, creating maintenance debt every time a release wave ships new capability
Modules activated without a clear sequencing plan, so organizations pay for capability their teams haven’t adopted and won’t for months
No data governance strategy underneath the AI layer, meaning Copilot is drawing on inaccurate, inconsistent Dataverse records and producing unreliable outputs as a result
Treating go-live as the finish line, when the platform’s real value compounds through adoption, optimization, and ongoing alignment to how the business actually operates
Agentic workflows configured around how your teams actually operate, not a generic out-of-the-box default that nobody uses
Clean, governed Dataverse records that give Copilot accurate, trustworthy data to reason over
Phased module activation that proves value at each stage instead of one all-or-nothing go-live nobody was prepared for
Copilot adoption embedded into daily workflows, so teams use the AI layer as a standard part of their work rather than an optional feature they ignore
A platform configured to evolve with release waves, not one that breaks or requires re-implementation every time Microsoft ships new capability
Select a module to see how we implement it — every one of them sitting on the same governed Dataverse foundation.
Pipeline management, opportunity scoring, meeting and email summarization, and account briefing generation configured so sales teams spend time on relationships and deals, not on data entry and pre-call research that Copilot now handles.
Agentic case management, AI-assisted email and intent handling, and real-time voice agents built on Copilot Studio, turning customer service from a cost center into a genuinely responsive, scalable operation.
Account reconciliation assistance, natural language financial inquiry, AI-generated collections communications, and cash flow forecasting narratives that let finance teams move faster without adding headcount.
Confirmed supply shortage summaries, natural language product search, and AI-assisted demand signal analysis that compress daily MRP triage from an hour of alert-reviewing into a focused, prioritized brief.
For SMBs moving toward agentic ERP: custom agent building using the 2026 AI Development Toolkit, sales and purchase automation, and developer extensibility through Copilot Studio rather than traditional AL code.
Agentic customer journey orchestration, AI-driven segmentation, and personalized campaign delivery at a scale human-managed marketing workflows can’t match.
Connecting Dynamics 365 to your existing Microsoft 365 environment, third-party systems, and custom applications, with Power Automate agent-based workflows and Power Apps extending D365 capability without building outside the governed ecosystem.
For organizations already live on Dynamics 365 but not seeing expected ROI: a structured assessment of Copilot adoption gaps, Dataverse data quality, and workflow configuration, with a clear roadmap to close the distance between what the platform can do and what it’s currently doing.
Implementation scoped for how D365 actually works in 2026, including what Copilot can realistically deliver today versus what’s still on the roadmap
Dataverse data governance built in from day one, since Copilot’s output quality is a direct function of the data quality underneath it
Phased rollout that builds adoption into the plan rather than assuming users will figure it out after go-live
Customization built through the platform’s extensibility model rather than on top of it, so release waves add capability instead of breaking what was built
A genuine post-implementation partnership, not a handoff the moment the system is technically live
Six phases, each one stepping down from the last — value proven at every stage rather than held back for a single go-live.
We evaluate your current business processes, existing systems, data quality, and which D365 modules and Copilot capabilities actually map to your specific operational bottlenecks
A phased roadmap that activates high-impact modules first and builds adoption into the timeline rather than treating it as someone else’s problem
Workflows, Copilot experiences, and integrations built around how your teams actually operate, not an out-of-the-box default nobody asked for
Dataverse structure and data quality addressed before Copilot features are activated, so the AI layer is drawing on trustworthy records from day one
Copilot and agentic workflows built into daily team routines, not introduced as optional extras after go-live
Ongoing alignment with release waves and emerging Copilot capabilities, so the platform keeps delivering value as Microsoft ships new functionality
Organizations implementing Dynamics 365 for the first time and wanting to do it right for the agentic era from the start
Businesses already live on D365 but running it like a traditional ERP without realizing how much the platform has changed
Finance and operations teams drowning in manual triage and reconciliation that Copilot is now genuinely capable of compressing
Any organization that’s received a D365 pitch built entirely around roadmap features and wants someone to be honest about what’s actually GA and delivering ROI today
Dynamics 365 in 2026 is not the system most organizations deployed. The organizations getting the most from it aren’t the ones with the most ambitious original implementation — they’re the ones who’ve actively aligned their configuration with how the platform has evolved.
An integrated suite of cloud-based ERP and CRM business applications covering sales, customer service, finance, supply chain, HR, and operations, with AI Copilot and agentic capabilities embedded across every module as of 2026.
Copilot assists users by generating content, summarizing information, and answering natural language queries within the platform. AI Agents go further — they can reason over ERP and CRM data, plan multi-step workflows, and execute actions with minimal human intervention, escalating only when they hit a decision that requires human review.
Generally available features with documented productivity value include meeting and email summarization in Sales, account reconciliation assistance and natural language financial inquiry in Finance, confirmed supply shortage summaries in Supply Chain, and agentic case management in Customer Service. Fully autonomous cross-module orchestration and natural language ERP configuration remain in preview or development and should be treated as future capability rather than current baseline.
A focused single-module deployment typically runs 2 to 4 months. Multi-module enterprise implementations commonly run 6 to 12 months. Data quality and integration complexity are usually the biggest timeline factors, not configuration speed.
Most commonly it’s one of three things: Dataverse data quality issues degrading Copilot output, low Copilot adoption because workflows weren’t redesigned around the AI layer, or customizations built outside the platform’s extensibility model that are now blocking new capability. An optimization assessment typically surfaces which of these is the primary constraint.
Cost varies significantly with scope — Business Central deployments for SMBs are priced differently from full enterprise Finance and Supply Chain implementations. We scope this transparently after understanding your specific module requirements, data complexity, and integration needs rather than quoting a flat figure that doesn’t reflect your actual situation.