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Microsoft AI is already in the applications your people use every day — Teams, Outlook, D365, and Office. We activate it correctly, govern it responsibly, and extend it with custom Azure AI scenarios that your business actually needs.
"Microsoft Copilot works best when your data is clean, your governance is in place, and the use cases are grounded in how your people actually work. We get those foundations right first."
Minutes saved per sales rep per day — Copilot meeting automation
Reduction in HR helpdesk tickets — Azure OpenAI knowledge assistant
Handle time reduction — Copilot-assisted customer service agents
Hallucination risk — enterprise AI grounded on verified internal data
We focus on Microsoft AI that changes what your people decide, not just what they execute — meeting your teams in the applications they already use, with the security and governance your enterprise requires.
Meeting summaries, email drafting, document generation, and data analysis in Teams, Outlook, Word, and Excel — deployed with security policies, sensitivity labels, and user governance so AI stays within your boundaries.
Post-meeting CRM updates, follow-up email drafts, opportunity summaries, and pipeline analysis — saving each sales rep 30 to 45 minutes per day while keeping your CRM data cleaner than it has ever been.
AI-assisted agent responses, case summaries, knowledge base suggestions, and sentiment detection — reducing handle time, improving first-contact resolution, and letting your agents focus on complex cases.
Journal entry assistance, variance analysis, cash flow forecasting, and financial reconciliation in D365 Finance — so your finance team spends less time in the system and more time on decisions that require human judgement.
Bespoke GenAI applications grounded in your enterprise data — internal knowledge assistants, document intelligence, contract analysis, and process automation built on Azure OpenAI with your security and compliance requirements.
Copilot readiness assessment, data classification review, sensitivity label configuration, and AI usage policy design — so your Copilot deployment is secure, compliant, and governed from day one.
A structured 2-week assessment covering data classification, sensitivity labels, security posture, and use case prioritisation — so your Copilot deployment starts with governance, not an afterthought.
A production-ready enterprise chatbot grounded in your internal documents — HR policies, SOPs, product documentation, and project knowledge — deployed in Teams with SSO and zero hallucination risk.
Curated prompt libraries for sales, finance, HR, and service roles — so your teams get immediate value from Copilot without needing to learn prompt engineering from scratch.
Industrial Manufacturer, India
Global ITeS Firm, India & US
NBFC, India
Our sales reps were sceptical of Copilot before go-live. Within two weeks they were asking why we hadn't done this sooner. The meeting summary and CRM update automation saves each person close to an hour a day. At our team size that is a meaningful commercial return — and the CRM is now more accurate than it has ever been.
Chief Sales Officer
Industrial Manufacturer · M365 Copilot
The knowledge assistant has changed how our people find information. We used to get 200 HR helpdesk tickets a month on basic policy questions. That number dropped 85% in 90 days. What I value most is that every answer is sourced from a verified document — there have been zero hallucination incidents since we launched.
HR Director
ITeS Firm · Azure OpenAI
What DWC got right that others didn't was starting with governance. They spent two weeks on our data classification and permissions before touching Copilot. Most implementations skip that step — then spend months dealing with oversharing incidents. We haven't had a single one.
CISO
Financial Services · M365 Copilot
30 minutes. We will tell you honestly whether your data and
governance are ready for Copilot — and which use cases will deliver
the fastest return for your organisation.
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