- What We Do
TRANSFORM
- Who We Serve
- Technologies
SAP
Data & Analytics
Technologies — AI & Automation
Custom AI
& GenAI
Off-the-shelf AI tools solve generic problems. Your enterprise has specific ones. We build custom AI and GenAI applications grounded in your data, governed by your policies, and designed for the exact workflows where your people need intelligent assistance.
"An AI that only automates a task saves time. An AI that improves the decision changes the outcome. We build the second kind — grounded in data your teams can trust."
85%
HR helpdesk ticket deflection — enterprise knowledge assistant
60%
Reduction in AP processing — AI-driven invoice automation.
Zero
Hallucination incidents — RAG architecture on verified enterprise data
80%+
Attrition prediction accuracy at 60-day horizon
Capabilities
Enterprise AI — grounded, governed, and actually useful
We build AI that is grounded in your verified data, integrated into your existing systems, and governed with the policies your CISO and compliance team will sign off on.
Enterprise Knowledge Assistants
RAG-based assistants grounded in your internal documents — HR policies, SOPs, product knowledge, legal contracts, and project documentation. Deployed in Teams or your web portal with SSO and zero hallucination risk.
Document Intelligence
AI extraction and analysis from contracts, invoices, purchase orders, and regulatory submissions — structured data output that feeds your ERP workflows without manual re-keying.
Predictive ML Models
Azure ML and Databricks models for demand forecasting, attrition prediction, credit risk scoring, and inventory optimisation — built on your enterprise data, auto-retrained weekly, and surfaced in Power BI.
Intelligent Process Automation
AI-driven automation for high-volume, rule-based processes — AP invoice matching, onboarding orchestration, contract clause extraction, and exception routing — where the AI handles the 85% and routes the 15% to humans.
Custom AI Agents
Multi-step autonomous agents that reason across your enterprise data — research assistants, procurement agents, HR advisors, and operational monitoring bots built on Azure AI Foundry and Semantic Kernel.
AI Governance & Risk Framework
Responsible AI design — data access controls, output monitoring, bias assessment, audit logging, and the AI policy framework your board and regulators require before enterprise AI goes to production.
Solution Accelerators
Pre-built. Battle-tested. Ready to deploy.
Knowledge Assistant
Enterprise RAG Assistant — Production-ready Template
A fully governed, production-ready RAG architecture template — Azure OpenAI, Azure AI Search, Teams deployment, SSO, access control, and usage monitoring built in from day one.
- Azure AI Search index configuration for multi-source document corpus
- RAG prompt engineering with citation and source attribution
- Teams bot with SSO, per-user access control, and conversation history
- Admin dashboard — query volume, accuracy ratings, and cost tracking
Document Intelligence
Invoice & Contract AI Extraction Pipeline
Azure AI Document Intelligence extraction pipeline for invoices and contracts — structured JSON output mapped to your ERP field definitions, with validation rules and exception handling built in.
- Invoice extraction — vendor, PO, amount, line items, and tax
- Contract clause extraction — parties, dates, obligations, and renewals
- Field mapping to S/4HANA and D365 Finance schemas
- Confidence scoring and exception routing for low-confidence documents
AI Governance
Enterprise AI Governance Framework Template
A governance framework covering AI risk classification, data access policies, output monitoring, bias testing, and the board-level AI policy documentation your organisation needs before going to production.
- AI use case risk classification matrix
- Data access and privacy policy templates for generative AI
- Output monitoring and accuracy measurement framework
- Board and regulatory AI disclosure documentation template
Case Studies
Delivered. Not just proposed.
Testimonials
Client Testimonials
What I was most concerned about was hallucinations. An AI giving wrong policy information to employees is a serious HR and legal risk. DWC built the RAG architecture so every answer is traceable to a specific document. We have had zero accuracy complaints and zero hallucination incidents in six months. That is the only metric that matters.
HR Director
ITeS Firm · Enterprise Knowledge Assistant
DWC were the first AI team that started the conversation by telling us what would not work before telling us what would. They assessed our data quality, told us the invoice extraction would not be viable until we fixed three source system issues, fixed them, then built the solution. That honesty upfront saved us months of wasted effort.
CFO
Retail Group · AI Invoice Processing
The attrition model changed how we think about retention. Before, we were always reacting to resignations. Now we have a 60-day window to act and our HR team uses it. The model retrains automatically every week. It has been running for 10 months without DWC needing to touch it. That is what a well-built ML pipeline looks like.
COO
ITeS Firm · Predictive Attrition Model
Start with an AI use case assessment.
30 minutes. We will map your highest-value AI opportunities against
your current data foundation — and tell you honestly which use cases
are ready to build now and which need groundwork first.