Contact Center

Dynamics 365 Contact Center combines voice, chat, digital channels, routing, and AI into a single service environment. We help design queues, automate interactions, and improve agent productivity and service quality.

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An efficient contact center integrates channels, routing, and data into a single measurable process.

31%

Service costs rise when channels and queues operate separately

The lines are invisible

Data from phone calls, chat, and messages are separated, so the team leader reacts after the fact, and an overload on a single channel increases the abandonment rate.

Channels Lose Context

The customer's history isn't updated after each interaction, so the agent has to repeat the questions, AHT increases, and the customer has to explain their need all over again.

Routing Increases Data Transfer Rates

Calls are routed based on order rather than intent or expertise, so the customer is transferred to another agent, and the FCR and service level decline.

Quality is based on sampling

Leaders evaluate only a small portion of conversations, which means they are slow to identify errors, training needs, and the risk of miscommunication.

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How It Works

From the customer's intent to the solution in a single interaction process

Each contact is identified, classified, and routed based on priority, skills, and workload. The results are fed back into analytics, planning, and quality improvement.

Identification

The system recognizes the customer, the channel, the history, and the available relationship context.

Intent and Routing

Rules or AI direct the inquiry to self-service or the appropriate queue.

Service in context

The consultant draws on data, knowledge, Copilot, and expert support.

Results and Improvements

Results, time, quality, and intent drive coaching and planning.

THE LOOP CLOSES WITH DATA

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Pillars

The Two Pillars of a Contact Center: Consistent Channels and Operational Decisions

Consistent service across all channels

The Contact Center maintains context from self-service through to the conversation with a representative.

One story of interaction

Voice and digital channels share a common customer context.

Routing as needed

Intent, priority, and competencies determine the correct order.

A Gradual Escalation

Self-service provides users with context without repeating questions.

Collaboration with Experts

The consultant involves the right people without losing control of the interaction.

Data-Driven and AI-Driven Operations

Leaders identify workload, quality, and risk early enough to adjust their approach.

Queues During Business Hours

Backlog, wait time, and abandonment rate indicate the need for intervention.

Capacity Planning

Volume and contact patterns support scheduling and staffing.

Quality Based on a Larger Sample

AI evaluations identify conversations that require review and coaching.

Controlled Development of AI

FCR, containment, and quality are used to evaluate the value of agents and Copilot.

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Photos

See how it works

The Contact Center integrates channels, people, and AI into a single service model

Dynamics 365 Contact Center coordinates voice, messaging, self-service, routing, and analytics to help customers find the right solution faster.

Voice and Digital Channels

It combines phone calls, chat, and messaging into a single workflow, minimizing the need to switch between tools and reducing context loss.

Smart Routing

It assigns contacts based on intent, priority, expertise, and workload to reduce wait times and transfers.

Self-service and voice AI

It automatically resolves recurring issues and provides the agent with the full context when an escalation is needed.

Analytics and Quality

It displays queues, service levels, AHT, quality, and trends, supporting decisions regarding staffing, coaching, and automation.

Take a look inside

Where a contact center creates value beyond its team of agents

Interactions reveal demand, as well as issues with payment, delivery, and the product. Value increases when this information reaches process owners without the need for manual reporting.

Customer Service, Sales, and Marketing

It combines contact history, intentions, and satisfaction indicators so that communication takes into account the customer's current needs, the risk of churn, and their next decision.

Finance and Operations

It forwards questions about payments, refunds, orders, and deliveries to the appropriate processes, while preserving the owner, status, and full context of the conversation.

Manufacturing and Service

It refers defects and product issues to experts, and the contact protocols support quality, service planning, and the reduction of future service requests.

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What We Optimize

What results have organizations using the Contact Center achieved?

60–80%

less manual labor in processes

+20%

higher contact deflection

−20%

shorter average handling time

+3 percentage points

Higher First Contact Resolution

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FOR WHOM

For companies where the number of channels is growing faster than the quality of service

Voice, chat, and messaging operate in separate tools, so the customer loses context, and the company cannot see a unified service level or the cost per interaction.

Queues, routing, and staffing are managed manually, which means that high volume increases wait times, abandonment rates, and the number of transfers.

The company wants to scale self-service or AI, but lacks a clear strategy, expertise, integration, escalation policies, and metrics for quality and impact.

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How We Implement

Implementation starts with traffic, routing, and measurable results

Channel and Data Audit

We map volume, intent, queues, call handling, roles, KPIs, CRM, integrations, and compliance. We establish a baseline, a pilot, and transition criteria.

Contact Center Implementation

We configure channels, IVR, routing, workspaces, reports, and automations. We test phone numbers, call volume, roles, and system failures, and we train the team.

Optimization and Scale

We measure service level, FCR, AHT, abandonment rates, quality, and adoption. We are developing additional queues, self-service options, WFM, and controlled AI scenarios.

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Numbers, not slides