Skip to main content

Star-knowledge

Microsoft Solutions Partner for Business Applications

Customer Support Consulting Services

Modernize customer support with the right platforms, channels, AI, self-service, and analytics for faster resolution and better agent experiences.
Transforming customer support operations on the Microsoft stack for over 15 years.
0 +

Years

D365 Customer Service, Copilot for Service, Omnichannel, AI Chatbots portals & Self-service portals

Built across the major agent ecosystems

Copilot Studio

Azure AI Foundry

AWS Bedrock

Google Vertex AI

OpenAI

LangChain / LangGraph

Support team lead coaching an agent with headset

Customer Support Challenges That Slow Service

01

Customers can only reach you by email — no chat, no portal, no self-service?

02

Agents answering the same 20 questions hundreds of times?

03

No CSAT score, no resolution time measurement — flying blind?

04

Want AI for support but don’t know where to start?

What We Do

Modernize Support from First Contact to Resolution

01

Cases managed, not lost

D365 Customer Service gives every case a record: assigned, tracked, SLA-measured, and reported. No more email chaos.

02

Every channel, one platform

Connect email, chat, voice, SMS, social, and portal interactions through one agent workspace.

03

AI chatbot deflects the repetitive

An AI chatbot answers FAQs, checks order status, and creates tickets — so agents handle complex issues, not “what’s your return policy?”

04

Self-service portal for customers

Give customers a Power Pages portal to submit cases, track status, search knowledge, and access documents.

05

Copilot makes agents faster

Use Copilot to draft replies, summarise cases, suggest knowledge articles, and generate case notes.

06

Analytics that drive improvement

Track CSAT, response and resolution times, deflection, and agent productivity to identify service gaps.

Our Services & Capabilities

01

Support Strategy & Assessment

Assess support operations across key maturity areas and define a prioritised transformation roadmap with technology recommendations and cost considerations.

02

D365 Customer Service Implementation

Implement case management, queues, SLAs, routing, agent workspace, and knowledge management around your support processes.

03

Omnichannel Deployment

We deploy Omnichannel for D365: live chat, voice, SMS, WhatsApp, social media, and email — all routed to agents in a unified workspace.

04

AI Chatbot for Support

Build Copilot Studio or Azure OpenAI chatbots to answer questions, create tickets, and escalate to agents across supported channels.

05

Self-Service Portal (Power Pages)

Build Power Pages portals for case submission, status tracking, knowledge search, and document access.

06

Copilot for Service Deployment

We deploy Copilot for D365 Customer Service: reply drafting, case summarisation, knowledge article suggestions, and case note generation.

07

Support Analytics & Ongoing Optimisation

Build Power BI dashboards and continuously improve CSAT, resolution, deflection, and agent productivity.

See specialist pages: D365 Customer Service · AI Chatbot Development

"What Does Your Support Need?" → Where to Go

Your need What we deliver Specialist page

“No case management platform”

D365 Customer Service implementation

“Customers can only email us”

Omnichannel deployment

→ This page + D365 CS

“Same questions answered 100x/day”

AI chatbot for FAQ deflection

“No self-service portal”

Power Pages customer portal

“No metrics or CSAT”

Analytics + dashboards

“Multiple issues — full transformation”

Support transformation programme

“Not sure where to start”

Support maturity assessment

The Customer Support Technology Stack

A Connected Technology Stack for Modern Support

01

Case Management Platform

D365 Customer Service provides the foundation for case tracking, assignment, SLA management, customer context, history, and knowledge.

02

Omnichannel

Omnichannel for D365 CS — email, live chat, voice, SMS, WhatsApp, social media, and portal all routed to agents in one workspace. Customers choose the channel.

03

AI Chatbot (Customer-Facing)

Copilot Studio or Azure OpenAI enables chatbots to answer FAQs, check status, create tickets, and escalate conversations to agents.

04

Self-Service Portal

Power Pages enables customers to submit cases, track status, search knowledge, and access documents before contacting support.

05

Knowledge Management

D365 Knowledge Management provides searchable content for agents and customers, with knowledge surfaced during case handling and self-service.

06

Copilot for Service (Agent AI)

Copilot for D365 Customer Service assists agents with reply drafting, case summaries, knowledge suggestions, and case notes.

07

Analytics & Reporting

Power BI provides visibility into CSAT, response and resolution times, deflection, agent productivity, and performance trends.

Our Support Transformation Methodology

Security and governance should cover role-based access, Dataverse permissions, customer data handling, audit logging, environment strategy, retention requirements, knowledge article approval, chatbot content governance, escalation review, Copilot readiness, prompt control, and responsible AI guardrails.

1

Free assessment

We assess your current support operations, identify the biggest gaps, and recommend the starting point. No cost, no obligation.

2

Strategy & roadmap

We design the support technology strategy: platform, channels, AI, self-service, and analytics — prioritised and phased for your budget and timeline.

3

Platform implementation

We implement D365 Customer Service: case management, SLAs, routing, agent workspace, and knowledge base — configured for your process.

4

Channels & self-service

We deploy omnichannel (chat, voice, social), build the self-service portal, and launch the AI chatbot — reducing agent workload.

5

AI enablement

We deploy Copilot for Service and train agents — AI-assisted reply drafting, case summarisation, and knowledge suggestions.

6

Analytics, training & optimisation

We build dashboards, train agents and supervisors, and provide ongoing optimisation — measuring and improving CSAT, resolution time, and deflection.

It starts with a free consultation. No obligation.

Case Studies

image place holder

Technology company, 5,000+ customers, email-only support.

Support via shared email inbox — no case tracking, no SLAs, no self-service. CSAT unmeasured. Team overwhelmed.

Full transformation: D365 Customer Service + Omnichannel (chat + email) + AI chatbot + Power Pages portal + Copilot for Service + Power BI dashboards.

image place holder

Insurance company, D365 Customer Service already deployed.

D365 CS deployed but no self-service — customers calling for claim status, policy questions, and document requests.

Added AI chatbot (claim status, policy FAQ) + Power Pages portal (case tracking, document access) + knowledge base.

image place holder

Professional services firm, 20 support agents, D365 Customer Service.

Agents spending 15 minutes per case reading history and drafting replies — slow handling time, inconsistent quality.

Deployed Copilot for D365 Customer Service: case summarisation, reply drafting, and knowledge article suggestions.

Industries We Serve

Technology

Product support, customer success, SaaS helpdesk

Insurance

Claims support, policy services, agent portals

Financial Services

Client services, complaint management

Healthcare

Patient services, referral management

Manufacturing

Warranty, parts, and technical support 

Retail

Order support, returns, and customer engagement

Professional Services

Client support and project queries

Utilities

Service requests, billing inquiries, field service

From deploying D365 Customer Service for a 10-agent team to transforming enterprise support operations with omnichannel, AI, and self-service.

Insights

Blog

Understanding Digital Customer Experience in the Customer Journey

Blog

Boost Customer Confidence with UX on the Web

checklist

Support maturity assessment checklist

guide

Transforming customer support with D365 + AI

AI Has Rewritten the Support Playbook (2026)

In 2026, AI is changing customer support expectations. Copilot for Service can help agents draft replies, summarize cases and find relevant knowledge articles. AI chatbots and self-service portals can reduce repetitive agent-handled work when the knowledge base, integrations and escalation paths are designed well. Organizations still running email-only support without workflow, self-service or analytics risk falling behind customer expectations.

01

Copilot for Service = 30% faster agents — reply drafting, case summarisation, and knowledge suggestions are now standard

02

AI chatbots deflect 30–40% — FAQ answers, order status, and ticket creation without an agent

03

Self-service portals deflect 15–25% — customers who can track their case and search the KB don’t call
04
Analytics close the loop — you can’t improve what you don’t measure; CSAT, resolution time, and deflection rate are the three numbers that matter

Do we need ALL of these or can we start with one?

Start with the biggest pain point. If you have no case management platform, D365 Customer Service is usually step one. If repetitive questions are consuming agent time, an AI chatbot may be the right starting point. If customers cannot track cases or find answers, a portal and knowledge base can reduce avoidable contacts. The maturity assessment identifies the highest-impact priority and phases platform, channels, AI and analytics around your readiness.

Frequently Asked Questions

We help organisations transform their customer support operations: implementing the right platform (D365 Customer Service), channels (omnichannel), AI (chatbots + Copilot), self-service (portals + knowledge base), and analytics — so support is faster, cheaper, and better.

Typically 30–40% reduction in agent-handled volume for FAQ-heavy support. Chatbots answer repetitive questions, check order status, and create tickets — the volume that doesn’t need a human. Impact is measurable within the first month.

RAG architecture grounds responses in retrieved documents, with citations. Content filtering blocks inappropriate outputs. Evaluation testing measures accuracy. But no AI is 100% accurate — we design applications so users can verify answers.

Typically 30–40% reduction in agent-handled volume for FAQ-heavy support. Chatbots answer repetitive questions, check order status, and create tickets — the volume that doesn’t need a human. Impact is measurable within the first month.

Microsoft’s AI assistant for support agents: drafts email replies from case context, summarises case history, suggests relevant knowledge articles, and auto-generates case notes. Reduces average handling time by 25–35%.

Yes — if D365 CS is already deployed, we can add Copilot for Service, AI chatbot, self-service portal, and analytics as incremental improvements. No need to re-implement the platform.

Routing customer conversations from multiple channels (email, live chat, voice, SMS, WhatsApp, social media, portal) into a single agent workspace in D365 Customer Service. Agents see one view; customers choose their preferred channel.

Customers submit cases, track status, search the knowledge base, and access documents — without calling or emailing. Typically deflects 15–25% of support volume. Built on Power Pages, connected to D365 Customer Service.

Book My Free Support Assessment

Tell us the task you have in mind. We’ll assess whether an agent suits it, at what autonomy level, and what the first step should be.

Typically responds within 8 business hours · Confidential