We Begin With the Business Problem, Not the Tool
DEN Agentic AI is an AI advisory and transformation practice. We help organisations diagnose their AI readiness, build a defensible strategy, design and deploy automated workflows, govern their AI operations, and transition their workforce — using a set of proprietary frameworks developed over years of applied practice.
Our work is grounded in five frameworks developed for and applied across every engagement: the Four Quadrants of AI Value, the AI Capability Maturity Model, the Strategic AI Initiative Canvas, the Use Case Prioritisation Scorecard, and the AI Workflow Automation Readiness Framework. These tools help leadership teams identify the right AI opportunities, assess true organisational readiness, and build phased transformation roadmaps before committing resources.
"Most AI investment conversations skip the hardest question — not what technology to use, but what specific business problem is actually being solved."
— The DENAgentic AI Point of View
Expertise Across Data, AI, Engineering and Business Transformation
Tariq Alam
Strategic Data and AI Lead
Creator of the Four Quadrants of AI Value Framework, the AI Capability Maturity Model, and the Strategic AI Initiative Canvas. With 20+ years across data engineering, analytics, business intelligence, and enterprise AI transformation — including roles at AMD and ADT Security USA, and graduate research at the University of Washington — Tariq brings practitioner-level depth to every engagement, translating proprietary frameworks into strategy executives can defend and systems teams can operate.
Mohammed Shahidul Islam
Business Development Advisor
Shahid brings more than twenty-five years of engineering and project leadership experience across data centers, petrochemicals, oil and gas, utilities, and the power sector. With a background in electrical engineering, an MBA, and professional credentials such as P.Eng, PMP, and PMI-RMP, he combines deep technical understanding with strong business and risk management skills. At DEN Agentic AI, Shahid guides client engagements, governance structures, and business development strategies—ensuring every project is grounded in clear objectives, well-defined scope, robust risk mitigation, and a practical path to execution so clients see tangible ROI from their AI investments.
Hasan Mahmud
Research and Data Advisor
Hasan brings nearly two decades of expertise bridging technical systems with strategic market intelligence, large-scale consumer insights, and public opinion research. Combining a background in Electrical Engineering with an MBA, he has managed complex field operations, demographic tracking, and quantitative research initiatives for corporate, governmental, and NGO clients. At DEN Agentic AI, Hasan leads research methodology and external data and AI strategy—applying rigorous frameworks to help organizations integrate AI, automate business processes, track consumer sentiment, and translate complex external data into actionable, data-backed AI transformation plans.
Arin Bakht
Technical Lead, Data Engineering
Arin brings over 10 years of experience in data engineering along with a strong software development background across backend, web, and mobile systems. His expertise spans research data analysis using tools such as MATLAB and R, and building production applications using Python, Java, SQL, and modern engineering practices. At DEN Agentic AI, Arin ensures that client data foundations are dependable, performant, and production-ready—from clean ingestion to lakehouses and maintainable pipelines—so Business Intelligence insights and AI agents run with accuracy, consistency, and trust.
Sanjir Salsabil
Technical Lead, Data Science
Sanjir is a specialist in machine learning, multimodal Retrieval-Augmented Generation (RAG), and data engineering, holding a Master’s degree in Data Science & Big Data Analytics from the University of Alberta and professional certifications in analytics and cloud data engineering. His experience spans fine-tuning large language models, master data management, data governance, and AI-based metadata tagging. At DEN Agentic AI, Sanjir ensures that proprietary agentic systems and advisory practices leverage the most effective models, architectures, and data practices for scalable enterprise impact.
Agentic Data & Analytics Delivery
Designs and builds governed data, knowledge, and analytics architecture — Microsoft Fabric, OneLake, Dataverse, and Purview first, also on Google Cloud, Databricks, and Snowflake. The deepest bench of hands-on, client-side delivery experience across data engineering, BI, and analytics.
Strategic AI Advisory
Helps executives and organisations identify high-value AI opportunities, assess organisational readiness across six AI Capability Maturity dimensions, prioritise initiatives using the Four Quadrants of AI Value, and build phased transformation roadmaps with defensible business cases before resources are committed.
Training and Capability Building
Designs practical AI training for leaders, professionals, and technical learners — four progressive courses from AI literacy through to advanced agentic engineering — ensuring organisations build responsible AI capability that sustains advisory outcomes across the workforce.
Ready to Map Your Organisation’s AI Journey?
Start with a free advisory consultation. We will assess your current state, identify your Ceiling Dimension, and outline the right engagement — whether that's data & analytics, or workforce automation.

How to Calculate AI ROI: A Realistic Framework That CFOs Will Believe

How to Build a 90-Day AI Roadmap: A Step-by-Step Guide for Mid-Market Leaders

How to Prioritize AI Use Cases: A 6-Criterion Scorecard for Operations Leaders

How to Build an AI Governance Framework: The Mid-Market Guide

AI Readiness for Mid-Market Organizations: The Complete 2026 Guide


