Who We Are

We Begin With the Business Problem, Not the Tool

DEN Agentic AI is an AI advisory and technical delivery practice. We help organisations diagnose their AI readiness, build a defensible strategy, deploy governed data, knowledge, and analytics architecture, and automate their workforce — built Microsoft-first, 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

Founder & Leadership

Expertise Across Data, AI, and Business Transformation

TA

Tariq Alam

Founder & President

Founder of DEN Agentic AI and 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 and Microsoft-first, multi-platform delivery into strategy executives can defend and systems teams can operate.

Workforce Productivity Operational Efficiency Revenue Growth Customer Experience

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.

Microsoft-First AI Workforce Delivery

Designs and builds governed Copilot experiences, agents, and automation on Copilot Studio and Power Platform — also on Google Gemini Enterprise, Claude, and ChatGPT platform tooling. Currently deepening this specialisation through Microsoft's Agentic AI Business Solutions Architect certification path.

Our Methodology

Three Core Frameworks

Three of the five frameworks used throughout every engagement — the same tools used with clients from the first diagnostic through the final roadmap. See the full set on the Services page.

01

The Four Quadrants of AI Value

Classifies every AI initiative across two dimensions — who benefits (internal vs external) and how autonomous the AI is (AI Assists vs AI Acts). Determines the correct cost model, governance requirements, and ROI timeline before any investment is committed.

Applied throughout every engagement · Also anchors Data & Analytics' Architect step

02

AI Capability Maturity Model

A six-level diagnostic scoring organisations across Strategy, Data Quality, Talent, Governance, Tools & Technology, and Automation Readiness. Ensures initiatives are sequenced to match current maturity — preventing the most common failure pattern: pursuing the right AI initiative at the wrong maturity level.

Applied in readiness assessments · Both Services

03

Strategic AI Initiative Canvas

An eight-question pre-investment design tool covering data sourcing, human review requirements, KPI design, governance path, cost model, and ROI timeline — ensuring every priority initiative has a defensible business case before resources are committed.

Applied in business case design · Workforce & Automation's Decide step

Education & Professional Experience

A Background Grounded in U.S. Institutions

University of Washington, USA

M.Sc. in Information Management. Research Assistant conducting cognitive research on information-seeking behaviours and developing web analytics solutions.

AMD and Enterprise Analytics

Data and Analytics Consultant — Microsoft Fabric Lakehouse, Power BI, Google BigQuery, and Looker Studio solutions for large-scale analytics deployments.

ADT Security & Business Intelligence

Market Intelligence Manager — developing actionable insights, dashboards, and strategic reporting to improve marketing, customer experience, and operations.

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.

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