Riverty, Bertelsmann’s fintech arm, and Microsoft partner Cluster Reply announced this week that they have deployed a new omnichannel customer service platform on Microsoft Dynamics 365 in just 100 days. The system is already live in eight markets and four languages, handling voice, chat, and email with AI-driven automation designed to augment human agents—not replace them.
The concrete playbook: what got built in 100 days
The deployment consolidates telephone, chat, and email into a single Dynamics 365 Customer Service interface, giving agents a unified workspace. Under the hood, it’s a first-party Microsoft stack: Dynamics 365 for case management, Dataverse as the enterprise data plane, and Microsoft Copilot Studio for AI behavior. The project went from kickoff to production across multiple countries in a little over three months, a timeline that underscores both the maturity of the platform and the effectiveness of a repeatable implementation blueprint.
Immediately available features include intelligent routing that reduces transfers, automated context recognition that pulls up relevant case history, and live dashboards with real-time KPIs. The Copilot Studio integration is staged: first agent-assist capabilities are live, and voice and chatbot automation with autonomous handling of simple inquiries is planned, with built-in hand-offs to human agents when complexity spikes.
Riverty and Cluster Reply report early declines in request processing time and rising customer satisfaction, though these are vendor-reported metrics that have not yet been independently audited.
What it means for you
If you’re a frontline agent or a support manager in any industry, this rollout demonstrates a pattern many organizations will follow: start with channel consolidation and agent-assist AI, then expand to full conversational automation—all without ripping out the core CRM. For IT leaders and systems integrators, the speed and multi-market activation signal that Microsoft’s contact-center stack has reached a level of cohesion where rapid enterprise deployment is feasible with the right partner.
Home users and consumers may not see the back end, but if Riverty or similar companies handle your payment plans or receivables, you’ll likely experience shorter wait times and more consistent answers for simple queries. Power users who tinker with Power Platform will see the blueprint’s direct relevance: Copilot Studio (no/low-code) can create AI agents that pull from Dataverse, enforce hand-offs, and operate across languages.
Administrators and compliance officers should note the governance model: Dataverse holds transactional data, while Copilot agents hold behavior logic. This separation keeps an audit trail and eases language expansion, but responsibility for data residency, retention, and AI safety stays with the customer.
How we got here: the forces behind the sprint
Riverty isn’t a small pilot. It supports tens of millions of consumers across roughly 11 countries, processes tens of millions of transactions per month, and employs about 4,000 people. Facing volume and consistency challenges, the company looked to Microsoft’s AI-first contact-center vision—Dynamics 365 Customer Service with omnichannel capabilities—to unify channels and reduce agent burden.
Microsoft has been investing heavily in Copilot for business applications, and Dynamics 365 Contact Center now offers unified routing, transcription, sentiment indicators, and agent orchestration. Copilot Studio, launched in 2023, allows enterprises to build custom AI agents that can retrieve answers from curated knowledge sources, manage multilingual dialogues, and share full conversation context when escalating to humans.
Cluster Reply, part of the Reply Group specializing in Microsoft integrations, brought a repeatable implementation factory model to the engagement. This isn’t an experimental lab project; it’s a production deployment now serving real customers in markets that include European and likely other regions.
Financial services, historically cautious about customer-facing automation, have been pushed by rising call volumes and margin pressure. Riverty’s approach—anchoring on a governed AI architecture and keeping humans in the loop for sensitive issues—offers a regulated fintech a path to scale automation without triggering compliance fires.
What to do now: a practical checklist
For organizations examining this case study, several steps stand out as immediately actionable, whether you’re on Dynamics 365 or another CRM:
- Baseline your KPIs now. Capture average handling time (AHT), first-contact resolution (FCR), customer satisfaction (CSAT), and agent occupancy. Without before-and-after data, any vendor’s ROI claims remain unverifiable.
- Start with agent-assist, not full autonomy. Enable AI-powered summaries, knowledge retrieval, and intelligent routing. These features lift productivity while keeping humans in control, and they’re lower risk than chatbots that speak directly to customers.
- Stage Copilot agents incrementally. Pilot a single-language chatbot that answers only from vetted documents. Set strict confidence thresholds and escalation rules before expanding to voice or multilingual scenarios.
- Harden data governance immediately. Map data flows from ingestion to inference. Enforce least-privilege access, retention policies, and logging of AI training data and outputs. In regulated sectors, ensure audit trails show which AI agent generated which response and when.
- Negotiate Copilot licensing and observability terms. Copilot usage metrics and pricing can be opaque. Demand transparency into agent consumption, negotiate caps or predictable pricing, and include SLA language around AI behavior auditability.
- Constrain generative outputs for high-stakes queries. In fintech, a hallucinated balance or payment due date can be costly. Restrict knowledge sources to approved documents, flag any monetary advice for human review, and version your knowledge bases.
- Build a continuous improvement loop. Live dashboards are not just for daily ops; use them to monitor KPIs, collect customer sentiment, and retune AI models and routing logic regularly.
If you’re a Microsoft shop already running Dynamics 365 Customer Service, this blueprint is within reach. Engaging a partner with a templated methodology can compress timelines dramatically, but internal teams must own the governance and change management.
Outlook: what to watch next
The Riverty–Cluster Reply deployment will be a bellwether for several trends.
- Independent performance audits. Until analysts or auditors publish before/after metrics, treat vendor-reported AHT reductions and CSAT gains as provisional. Look for third-party assessments later this year.
- Copilot Studio maturation. Microsoft is rapidly iterating on Copilot for contact centers, with GA milestones and licensing changes expected. These will directly affect the economics of following Riverty’s playbook.
- Regulatory scrutiny of generative AI in finance. As more fintechs deploy bots that handle consumer inquiries, regulators will demand explainability and auditable decision logs. Expect guidelines on AI-driven customer communications, particularly around voice.
- Real-world voice bot acceptance. Voice automation is notoriously fickle across accents and noise conditions. Completion rates, authentication success, and customer sentiment will reveal whether the “empathetic automation” vision holds up at scale.
The takeaway for Windows users, IT pros, and business leaders is unambiguous: enterprise AI in customer service is no longer a distant pilot. With a coherent first-party stack and a repeatable delivery model, a production-grade omnichannel platform can go from whiteboard to go-live in a quarter. The ingredients—Dynamics 365, Dataverse, Copilot Studio—are generally available today. The difference between a 100-day success and a stalled migration will be governance posture, clear KPIs, and a partner who’s done it before.