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RegisterCopilot & AI Solutions
Power Platform & Azure
CRM
Industry-Specific
At Pargesoft, we treat AI not as an “experimental technology” but as a tool that directly produces business results. While the Microsoft ecosystem is our main area of expertise, we develop AI solutions that integrate with SAP, Oracle, and various ERP/CRM systems, covering all your company’s data and processes.
Our goal is to build not just systems that keep records, but intelligent platforms that make decisions, predict outcomes, and take automatic actions.
Works with ERP, CRM and Office 365 data • Your data stays within your organization • Custom AI agent architectures

Success in AI projects depends more on the right data, right integration, and clear business goals than on the model used. That’s why we focus on the business problem, not the technology. We start every project by understanding your company’s existing processes, decision-making mechanisms, and operational bottlenecks.
Our goal is not to add AI as an abstract layer on top of existing systems, but to create secure and sustainable solutions that integrate with platforms you already use, such as ERP, CRM, and Microsoft 365. This way, AI becomes not just a reporting tool, but a business partner that recommends, prioritizes, and takes automatic action when needed.
With this approach, AI initiatives don’t remain short-lived pilots. They become enterprise capabilities—owned by IT, embraced by business teams, and trusted by leadership—delivering measurable value today and evolving sustainably over time.
For quick definitions of key concepts, see our AI Dictionary.

We develop secure, scalable solutions on Dynamics 365, Copilot, Power Platform, and Microsoft 365.
We build structures that integrate with SAP, Oracle, and various ERP/CRM systems. Eliminates data silos and ensures seamless flow.
AI is fed with your company's operational data; no data leaves, no model training is done externally.

Copilot’s definitive advantage lies in its ability to securely access your ERP, CRM, and Microsoft 365 data without exposing that data to public foundation models. This architecture allows you to harness the power of Generative AI while strictly adhering to enterprise-grade security, compliance, and governance standards.
At Pargesoft, we view Copilot as far more than a simple interface. We deploy it as a strategic decision support layer that bridges your workflows through deep integration with your core systems and enrichment from real time business context. By shifting Copilot from a passive assistant to an active business partner, we help your teams accelerate processes, minimize operational risks, and execute consistent decisions driven by data.
Your enterprise data is not used by Copilot for model training and stays within organizational boundaries.
Because ERP, CRM, and emails are evaluated together, AI produces answers that truly "know your business."
Copilot only sees what the user is authorized to see. Nothing more.
A single AI model is not always the right solution for every problem. That’s why we build our approach without being dependent on a single tool or technology; we select the most appropriate model based on the nature of the problem, data structure, and expected business output.
While Copilot and large language models are sufficient in some scenarios, we develop custom models and organization-specific AI agents in cases where models fall short or require more specialized control. These agents are designed as structures that take on specific tasks, can take action across systems, and operate according to business rules.
This way, AI transforms from a one-size-fits-all tool into a flexible technology stack that shapes itself according to needs, scales, and maximizes real operational value.

Secure, authorization-based scenarios with enterprise data.
Creative content, summarization, and general-purpose intelligent automations.
AI agents we develop from scratch according to needs, working embedded in the system.
AI products used in the field, solving real problems, and scaled.
Instantly detects defects in quality control and inspection.
Compares camera images with product and service standards; accelerates rework or scrap decisions. Learns from historical data to generate insights into root causes of errors and makes operational quality scalable.
Makes stock risks visible, generates early warnings and action suggestions.
Analyzes ERP/WMS/TMS/IoT data together to produce location-based stock forecasts. Provides early warnings for stockouts, delays, and deviations; suggests (optionally automates) actions like reorder, warehouse routing, or alternative suppliers.
Measures supplier performance, predicts risks, and provides proactive control.
Creates performance scores and risk profiles by analyzing ERP/SRM/finance/logistics and external data sources if needed. Predicts delay, capacity, or quality issues in advance; provides visibility to procurement teams with alternative supplier suggestions and automatic alerts.
Intelligently prioritizes tasks in hotel and restaurant operations.
Dynamically prioritizes tasks with occupancy, reservations, customer traffic, and historical data. Assigns tasks to relevant staff via mobile commands; detects congestion, delay, and SLA risks early, generating insights and actions for management.
Automatically extracts tasks from emails and meetings, systematizes follow-up.
Interprets text with context to extract task title, description, priority, and due date. Captures "who took on what" from meeting transcripts; converts decision items to task lists and prevents actions from staying in the meeting room.
Accelerates product configuration, makes the right combination visible.
Intelligently presents selectable options by analyzing technical constraints, compatibility rules, and past orders. Calculates price, lead time, stock, and production impact with each selection, providing end-to-end visibility between sales and production.
Makes hygiene and inspection measurable, provides instant compliance tracking.
Analyzes hygiene criteria in kitchen, service, and common areas with image processing; generates automatic alerts on non-compliance. Tracks cold chain, temperature, and cleaning periods with sensor/IoT integrations, ensuring consistency in audits.
Generates quick answers from internal documents, leads to the right source.
Reads and classifies documents, builds a central knowledge base with tags. Users ask in natural language instead of keyword searching; reach the most current document in seconds, accelerating access to information.
Ready-to-deploy agents that accelerate sales, customer experience, and finance operations across Dynamics 365 processes.
Accelerates order creation and updates to keep the sales process flowing
Automates repetitive order steps to shorten the time from quote to fulfillment. Reduces missing data and entry errors by linking key records (products, pricing, inventory, customer). Reps spend less time navigating screens and more time closing deals faster.
Scores and prioritizes leads, giving sales clear next-step recommendations
Analyzes incoming leads using behavioral and firmographic signals to estimate fit and purchase likelihood. Surfaces the highest-value opportunities and suggests outreach steps and messaging. Your team wastes less time on low-quality leads and improves conversion rates.
Summarizes account and industry research to prepare for meetings faster
Consolidates account and market context into concise briefs so prep takes minutes, not hours. Identifies likely needs, priorities, and stakeholder cues. Reps enter calls more informed and personalize the conversation earlier, building trust and demonstrating value in the first meeting.
Automates follow-ups and pipeline actions to prevent deals from stalling
Recommends follow-up timing, email drafts, and next best actions based on pipeline activity. Flags silent opportunities and creates reminders to keep momentum. Sales execution becomes more consistent, reducing delays and increasing the likelihood of progressing and closing deals.
Detects customer intent and routes requests to the right action quickly
Interprets messages, history, and interaction signals to determine what the customer is trying to achieve. Assigns the right category and urgency and recommends the best resolution path. Customers get faster, more accurate help, while misrouting and rework drop significantly.
Organizes knowledge and surfaces the best answer instantly
Unifies scattered documents and past resolutions into a consistent knowledge flow. Presents agents with the most relevant responses, including sources, and recommends new content to fill gaps. Training time decreases, answer consistency improves, and repeat questions are resolved faster.
Classifies cases, recommends resolution steps, and supports SLA control
Automatically categorizes incoming cases, suggests similar past fixes, and assigns to the right team. Flags SLA risk early and helps prioritize work. Agents close cases faster, customers see quicker outcomes, and operational cost drops through fewer escalations and less manual triage.
Optimizes planning and scheduling to reduce operational workload
Proposes the best schedule by considering availability, skills, and time windows across resources. Minimizes conflicts and automates rescheduling when changes occur. You increase capacity utilization, reduce delays, and deliver a more reliable service experience with less coordination effort.
Automates supplier communication to speed up request–response cycles
Summarizes supplier threads, drafts replies, and tracks follow-ups for purchasing, delivery, and pricing updates. Speeds up clarifications when information is missing. Cycle times shrink, supply risk decreases, and teams manage less email overhead while keeping vendor relationships responsive.
Simplifies account reconciliation and highlights discrepancies
Matches transactions, flags variances, and proposes likely causes during reconciliation. Suggests supporting documentation and accelerates corrective actions. Finance teams reduce manual checks, shorten close timelines, and lower error rates—cutting rework and increasing confidence in the numbers.
Strengthens financial reconciliation with verification and controls
Compares bank, cash, and subledger records, prioritizing mismatches with suggested explanations. Supports approvals and makes control checkpoints visible throughout the process. Audit readiness improves, risk decreases, and teams close faster and more safely with a stronger, traceable reconciliation trail.
Speeds approvals and surfaces exceptions for faster processing
Reviews time and expense submissions against policy, automatically flagging anomalies and missing receipts. Provides approvers with a short summary and recommended action. Fewer items sit pending, compliance improves, and employees get quicker reimbursement.
We prioritize data sovereignty. For Microsoft Copilot implementations, your data is processed within the “Enterprise Data Protection” standards and is never used to train public models. For our custom AI agents, we architect solutions where data remains strictly within your secure Azure Tenant or on-premise servers.
Absolutely. While we possess deep expertise in the Microsoft ecosystem, our AI architecture is platform-agnostic. We build custom API layers that allow our AI agents to securely interact with SAP, Oracle, Logo, or any legacy ERP system you use.
Microsoft Copilot is a powerful general-purpose assistant for daily productivity. Custom AI Agents, however, are specialized autonomous bots we build to manage specific end-to-end workflows—such as “Supplier Risk Analysis” or “Automated Quality Control”—which require defined business rules and higher autonomy.
Leveraging our pre-built modules (like Inventory Visibility or Docu AI), we can launch a functional MVP (Minimum Viable Product) in as little as 4 to 8 weeks. We focus on quick wins first, ensuring you get measurable business value early in the process.
Let's create a roadmap that generates measurable benefits on your ERP, CRM, and all enterprise data.
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