Hong Kong, October 10, 2025 — Tectura, a global provider of AI-business applications and solutions with an established network across Asia, is pleased to announce the appointment of Vincent Dubouis as its new Chief Executive Officer, succeeding Mike Muller.
The announcement coincides with Tectura’s continued recognition as a member of the 2025-2026 Microsoft AI Business Solutions Inner Circle, a distinction for top innovation and achievement among global partners.
“Assuming leadership in Tectura is both an honor and a responsibility,” said Vincent Dubouis, CEO. “We are committed to accelerating digital transformation for our clients by growing our portfolio of intelligent, agent ERP, AI-driven business applications, and advancing cloud based and private AI innovation– empowering enterprises to overcome business complexity and unlock long-term value.”
Outgoing CEO Mike Muller commented, “My tenure as CEO has been deeply rewarding. I am incredibly proud of the culture of innovation and customer centricity we have fostered and the success we’ve achieved. I couldn’t be more pleased that Vincent is stepping up to lead Tectura. After six years as our CFO, his vision and proven commitment to excellence make him the ideal leader to guide the company into its next phase of growth. I am fully confident in Tectura’s future under his direction.”
Tectura remains dedicated to delivering value-driven, tailored solutions to clients navigating digital transformation and growth across different industries and markets.
About Tectura
TECTURA is a trusted global business consulting and technology services provider with a strong focus on AI-driven ERP and CRM transformation. TECTURA helps organizations streamline operations, accelerate back-office automation, and enhance productivity through digital innovation. Leveraging deep Microsoft Dynamics 365 and SAP expertise, combined with advanced Azure and private AI artificial intelligence capabilities, TECTURA delivers tailored, value-driven solutions that empower enterprises to reduce operational costs, unlock operational agility, and achieve sustainable growth in today’s dynamic digital landscape.
The development of AI agents has reached a mature stage, enabling businesses to automate more daily tasks, enhancing operational efficiency and customer experience.
In 2025 Release Wave 1, Microsoft introduced voice conversation capabilities, enhanced automation actions, and a more comprehensive analytics dashboard. These upgrades empower businesses to scale automation through AI while fine-tuning AI models based on data insights to better align with their operational needs.
Let’s dive into these key Copilot Studio upgrades and explore how they can drive digital transformation for enterprises!
1. Interactive Voice Response
? Demo Video:
Businesses can now enable AI Agents with voice capabilities, customizing multiple voice tones and styles to deliver more natural and personalized conversations. This feature also supports:
Automatic Language Detection: If users speak in a language different from the default setting, the AI agent can instantly detect and switch to the user’s preferred language.
Response Time Adjustment: Businesses can modify AI response wait times based on operational needs, ensuring an optimal customer experience across various scenarios.
2. Automated Actions: AI Agents Move from Assistants to Active Executors
Seamless Integration with Thousands of Applications—No API Required
Microsoft has introduced a new “Action Configuration Panel”, preloaded with thousands of connectors that allow AI Agents to seamlessly integrate with both internal and external enterprise systems, including:
✅ Microsoft Ecosystem: Dynamics 365, Power Automate, SharePoint, Excel, and more.
✅ Third-Party Software: SAP, Oracle, Salesforce, and even custom external data sources.
✅ Common Automation Actions: Data retrieval, Excel updates, data queries, workflow triggers, and more.
With these enhanced automation actions, businesses can unlock broader application scenarios when configuring AI Agents in Copilot Studio.
Updated Action Quota Calculation
As AI Agents take on increasingly diverse tasks, Microsoft has also updated the message quota calculation model, where different types of AI interactions will now consume quotas at varying rates.
Copilot Studio feature
Billing rate
Explanation
Classic answer
1 message
Manually written, fixed responses.
Generative answer
2 messages
AI-generated answers that integrate conversation context and knowledge base content.
Autonomous action
25 messages
Actions triggered by workflows (excluding knowledge searches, retrieval, or AI Builder prompts).
Tenant Microsoft Graph grounding for messages
30 messages
High-quality retrieval-augmented generated responses based on Microsoft Graph.
Text and generative AI tools (basic)
0.1 messages
Uses the 4o-mini model. Consumes 0.1 message quota per 1,000 tokens (Effective from April 7, 2025).
Text and generative AI tools (standard)
1.5 messages
Uses the 4o model. Consumes 0.1 message quota per 1,000 tokens (Effective from April 7, 2025).
Text and generative AI tools (premium)
10 messages
Uses the o1 model. Consumes 0.1 message quota per 1,000 tokens (Effective from April 7, 2025).
Here, let’s illustrate it with a senario:
If your conversation flow consists of multiple steps, each step will consume the corresponding message quota. Here’s a detailed breakdown:
1️⃣ User asks for the weather on a specific date → The AI agent retrieves weather information from an online source using a connector. Consumes 25 message quotas.
2️⃣ User inquires about internal knowledge base information → The AI agent fetches data from knowledge sources & the organization’s Microsoft Graph, then compiles a response. Consumes 2 + 30 = 32 message quotas.
3️⃣ User asks about flight reservations → This triggers a “topic”, which the system counts as an automated action. Consumes 25 message quotas.
⏳ Quota Calculation Method: The quota resets on the 1st of each month, rather than based on the subscription activation date. Unused quotas do not carry over to the next month.
? Overage Usage Options: When the quota is exhausted, businesses can either redirect AI interactions to human agents or opt for a Pay-as-you-go model at $0.01 per message quota.
3. Upgraded Analytics Dashboard: Making AI Smarter with Data
The latest Copilot Studio now offers more comprehensive data analytics, enabling businesses to track AI Agent performance and optimize AI models based on insights.
Key Metrics: Aligning AI with User Needs
Copilot Studio now provides integrated analytical reports, giving visibility into various conversation metrics, including:
Outcome & Engagement Analysis: A pie chart visualization categorizes conversation results into three key groups: Resolved, Escalated, and Abandoned.
Session Outcome Determination:
Resolved: The session ends under one of these conditions:
A success-confirmed topic is triggered.
The conversation ends, and the user confirms a successful interaction or lets the session time out.
Escalated to Human: The session ends after an AI-handled transfer to a live agent (even if the human agent does not respond).
Abandoned: The conversation times out without being resolved or escalated.
Knowledge Source Utilization: A line chart visualization shows the frequency and proportion of different knowledge sources being used, helping businesses understand which information is most relevant to users.
User Feedback: Aggregated user satisfaction scores provide a high-level view of AI performance, ensuring continuous learning and optimization.
Conclusion: How Can Businesses Leverage Copilot Studio for Competitive Advantage?
In 2025, AI Agents are no longer just assistants—they are the driving force behind enterprise automation. With voice interactions, advanced automation, and enhanced data analytics, Copilot Studio empowers businesses to create smarter, more efficient AI experiences.
When investing in a CRM system for the first time or planning to replace an existing solution, selecting the right CRM is crucial. It must align with your business goals and customer needs while considering future growth and long-term ROI. Here are key evaluation steps and criteria to help you make an informed decision.
1. Internal Assessment: Understanding Current Needs
Before choosing a CRM, clarify these internal questions to evaluate your current status and future needs:
1️⃣ What are the current pain points in your processes or data integration?
Identify issues like data silos, insufficient reports, or lack of interdepartmental collaboration.
2️⃣ What are your business objectives and key performance indicators (KPIs)?
For example, expanding market share, improving customer satisfaction, or enhancing data analysis capabilities.
3️⃣ What insights or reports are critical when transitioning to a new system?
Understanding the strengths and weaknesses of your current system will help define what you need in a new solution.
2. Focus on Role-Specific Needs to Estimate CRM Value
Different roles within an organization have distinct expectations from a CRM system. Addressing these needs is key to successful implementation.
For CXOs: Unified Data and Predictive Insights
Centralized Data: Consolidate data across departments for a single view of the customer.
Forecasting: Use CRM analytics and AI to identify business trends and market changes.
Performance Measurement: Ensure departments meet KPIs and allocate resources efficiently.
Without a CRM, management risks making decisions based on outdated or incomplete data, which can impact competitiveness.
For Sales Team Leaders: Enhanced Efficiency and Performance
Streamlined Processes: Automate sales tasks to free up time for customer interactions.
Performance Tracking: Monitor team progress and identify bottlenecks in the sales funnel.
Goal Achievement: Leverage insights to refine strategies and hit targets.
Without a CRM, scattered data and manual tracking can delay decisions and lead to missed opportunities.
For Sales Representatives: Simplified Operations, Focused Results
Integrated Customer Records: Easily access customer history and communication logs.
Mobile Accessibility: Update information on the go for real-time synchronization.
Automated Reminders: Stay on top of customer needs to close more deals.
Without a CRM, valuable time may be wasted on administrative tasks, potentially missing key customer interactions.
For Customer Service Teams: Elevated Customer Experience
Real-Time Data Access: Quickly review customer interactions to provide personalized support.
Cross-Department Collaboration: Unify sales, marketing, and service data for seamless customer experiences.
Process Improvement: Use analytics to identify and address recurring customer issues.
Without a CRM, response times may lag, lowering customer satisfaction and risking retention.
3. Define Your CRM Strategy: Operational, Analytical, Collaborative
Selecting the right CRM type goes beyond understanding its features; it requires aligning with your goals and current business stage.
1️⃣ Operational CRM: Automates sales, marketing, and customer service tasks to improve efficiency. Ideal for businesses in the early stages of digital transformation.
2️⃣ Analytical CRM: Collects and processes data from multiple systems to provide actionable insights on customer behavior and satisfaction, helping businesses optimize decision-making.
3️⃣ Collaborative CRM: Focuses on improving customer interactions across multiple channels, enhancing overall customer experience.
4. Evaluate CRM Systems for Core Features
Once you have defined your strategy, prioritize these essential capabilities:
Data Integration and Connectivity: Ensure seamless integration with existing systems like ERP, POS, and third-party tools such as calendars or collaboration platforms.
Scalability and Flexibility: Choose a system that supports phased upgrades to meet evolving business needs.
Data Security and Compliance: Opt for a CRM with strong security protocols and compliance with regulations such as GDPR to protect customer data.
5. Conclusion and Recommendations
When evaluating CRM systems:
1️⃣ Hold internal meetings to align on core needs and KPIs.
2️⃣ Assess the system’s ability to integrate with existing infrastructure and scale for future requirements.
3️⃣ Consider phased implementation to reduce upfront investment risks.
4️⃣ Collaborate with certified CRM consultants like Tectura to develop tailored solutions for your business size and industry.
By following a clear evaluation process and adopting a phased implementation approach, you can select a CRM system that addresses current challenges and provides a robust foundation for sustainable growth.
