Trusted Data. Working Automation.
Delivered as Running Systems, Not Just Plans.
Two Microsoft-first engagements for organisations that want AI they can actually run: one builds the governed data and knowledge foundation your AI depends on, the other builds and operates the Copilot, agents, and workflow automation on top of it.
Start with a free consultation — no report to buy first.
Which Problem Are You Facing?
"Our data or knowledge foundation isn't trustworthy enough for AI to use safely."
Routes to: Data & Analytics Solutions →"We're about to put dashboards, agents, or reports in front of people and need them signed off first."
Routes to: Data & Analytics Solutions →"We don't know which AI opportunity or workflow to automate first."
Routes to: Workforce & Automation Solutions →"We have an AI idea, but we don't know if we're actually ready to execute it."
Routes to: Workforce & Automation Solutions →"We pay for Copilot but can't show it's working, or who's actually using it."
Routes to: Workforce & Automation Solutions →Two Engagements, Strategy Through Build
Each engagement is a complete arc — architecture and solution design, technical build, validation, and ongoing operation — not a specification you have to take elsewhere to build. Every engagement begins with a free Strategy Discovery Consultation.
Before any paid engagement, complete a short intake covering your business priorities, current Microsoft platform environment, and where AI could help most — then book a free 30-minute consultation. We arrive prepared, so you're not repeating yourself once the engagement starts. You'll leave with a preliminary problem framing and a recommended next step — not a maturity score or a formal assessment.
Already completed one of our self-assessments? Tell us your score in the form and we'll skip ahead.
Agentic Data & Analytics Solutions
From trusted data and knowledge to validated dashboards and analytics agents — a governed foundation your AI, and your people, can actually rely on.
"Our SharePoint content isn't structured, permissioned, or trustworthy enough for Copilot or agents to use safely."
A focused review of your SharePoint content, structure, and permissions against what Copilot and agents actually need — feeds directly into Architect.
"Our business data lives in disconnected systems and isn't packaged in a form AI or analytics can trust."
A review of your current data landscape against a governed, AI-ready data product model.
Also built on Google Cloud (BigQuery, Looker), Databricks, and Snowflake, and works with your existing open-source stack (dbt, Airbyte, Airflow) where that fits better — ask us how during your Strategy Discovery consultation.
| Step | What Happens | You Receive |
|---|---|---|
| 1. Architect | Maps your systems, data sources, and knowledge landscape; runs a data & analytics readiness screen; and designs the target data, knowledge, and semantic architecture — Microsoft Fabric and Dataverse first, with Google Cloud, Databricks, Snowflake, or your existing stack supported where that fits better | Data & Analytics Readiness Report + Agentic Data & Analytics Blueprint |
| 2. Engineer | Builds the governed pipelines, semantic models, and knowledge products the blueprint calls for — ingestion, transformation, RAG-ready knowledge stores, and the lineage and access controls that keep them trustworthy | Governed Data & Knowledge Products, Semantic Model, Lineage Catalogue |
| 3. Assure | Validates the finished foundation before anything goes live — data reconciliation, semantic and metric accuracy, access and security, lineage and provenance, and readiness of any dashboards, reports, or analytics agents built on top — ending in a human sign-off | Assurance & Validation Report, Go/No-Go Sign-Off |
| 4. Activate | Puts the governed foundation and any dashboards, reports, or analytics agents into production, then keeps it running — ownership and access maintenance, quality and cost monitoring, and a scheduled recertification cadence | Live Data & Analytics Environment + Sustaining Operations Plan |
Start at Architect, or at whichever "way to start" matches your problem. Every step ends in a clear decision point — continue, adjust, or stop.
Enquire About Data & Analytics Solutions →AI Workforce & Automation Solutions
From the right opportunity to a production Copilot experience, agent, or workflow your team can operate — not a demo you need to rebuild.
"We don't know which AI opportunity or workflow is worth pursuing."
A structured first pass at Discover — an initial opportunity portfolio scoped to your business, not a generic report.
"We want to test one Copilot Studio agent on a real process before committing to a full build."
A single, narrowly scoped agent pilot on one process, with governance and error handling built in from the start.
"We're about to deploy Copilot agents and don't have controls in place yet."
A targeted review of agent-specific risk and control gaps against your actual Purview, Copilot, and Power Platform environment before rollout.
Also built on Google Gemini Enterprise, Claude, and ChatGPT platform tooling, and works with your existing automation stack (n8n, Make) where that fits better — ask us how during your Strategy Discovery consultation.
| Step | What Happens | You Receive |
|---|---|---|
| 1. Discover | Maps your process or workforce problem end-to-end, identifies the AI opportunities actually worth pursuing, and scopes candidate Copilot, agent, or automation tracks against your Microsoft platform and data readiness | AI Vision Statement + Initial Opportunity Portfolio |
| 2. Decide | Scores and prioritises opportunities on value, readiness, feasibility, and risk; selects the right track — Copilot enablement, knowledge agents, workflow automation, or intelligent business applications; and builds a decision-ready business case | Prioritised Opportunity Portfolio + Business Case |
| 3. Deliver | Builds a pilot-ready Copilot experience, agent, or workflow — with Human-in-the-Loop review gates, error-catch boundaries, system prompt libraries, and handover training — on a defined path to production | Production Copilot / Agent / Automation Solution, Governance Controls |
| 4. Improve | Keeps what's live actually working — adoption and override-rate monitoring, credential and access maintenance, incident response, and a recertification cadence that scales governance as usage grows | 90-Day Adoption Plan + AI Operations Governance Manual |
Start at Discover, or at whichever "way to start" matches your problem. Every step ends in a clear decision point — continue, adjust, or stop.
Enquire About Workforce & Automation Solutions →The free 30-minute consultation gives you a preliminary problem framing and recommends the right starting point.
Start Before the Call
Free assessment tools that take under five minutes each. Use them individually, or reference your results in the Strategy Discovery intake so we arrive at your consultation with a head start.
Score your organisation across six AI Capability Maturity dimensions — including Automation Readiness — and get an instant maturity level with a recommended starting point.
Take the Assessment →Know exactly where your AI governance gaps are across six dimensions — policy, risk tiering, human oversight, data privacy, shadow AI, and training.
Take the Assessment →Score any AI initiative across five weighted criteria — Business Value, Data Readiness, Feasibility, Risk, and Governance. Get an instant priority rating and Four Quadrants placement.
Score a Use Case →Frameworks at the Core of Delivery
The same frameworks used throughout every engagement — available as free PDF guides on the Resources page.
Four Quadrants of AI Value
Classifies AI initiatives by who benefits (internal/external) and how autonomous the AI is (Assists/Executes) — setting the correct governance requirement, cost model, and ROI timeline before any commitment is made.
Core of Workforce & Automation · Also Used in Data & Analytics' Architect StepAI Capability Maturity Model
Six levels across six dimensions including the Automation Readiness dimension. Ensures no initiative is scoped beyond what the organisation's infrastructure and team can actually support today.
Foundational · Both ServicesStrategic AI Initiative Canvas
Eight questions answered before any AI project is funded — covering process map design, data sourcing, human review requirements, KPI design, governance path, cost model, and staged investment design.
Workforce & AutomationUse Case Prioritisation Scorecard
Six-criterion weighted scoring model — Business Value, Data Readiness, Technical Feasibility, Risk, Governance Readiness, and Automation Feasibility.
Workforce & AutomationAI Workflow Automation Readiness Framework
Assesses whether tools, data, and team can support automated workflows before build begins. Covers API access types, rate limits, payload schemas, authentication models, and automation literacy.
Workforce & AutomationActionable Blueprints, Not Slide Decks
Every deliverable is linked to a specific decision, measurement, or action your organisation needs to take. None require explanation to be credible at board level.
Data & Analytics Readiness Report
Scored review of your data, knowledge, and analytics foundation, with specific gaps identified and a prioritised remediation plan.
Agentic Data & Analytics Blueprint
Target architecture for data, knowledge, and semantic layers — Microsoft Fabric and Dataverse first, mapped to your existing stack.
Governed Data & Knowledge Products
Ingestion pipelines, semantic models, and knowledge stores with lineage, ownership, and access controls built in.
Assurance & Sustaining Operations Plan
Pre-release validation sign-off plus the ongoing monitoring, recertification, and incident-response cadence that keeps it trustworthy after go-live.
AI Opportunity Portfolio & Business Case
Prioritised AI initiatives scored on value, readiness, feasibility, and risk, each with a decision-ready business case.
Production Copilot / Agent / Automation Solution
A pilot-ready Copilot experience, agent, or workflow with Human-in-the-Loop gates, error-catch boundaries, and handover training.
90-Day AI Adoption Strategy
Task redesign, override-rate monitoring, and a 90-day adoption cadence with go/no-go gates at 30, 60, and 90 days.
AI Operations Governance Manual
Live workflow registry, credential rotation schedule, and tested incident-response playbooks.
Tariq Alam
Founder, DEN Agentic AI
20+ years at the intersection of data engineering, business intelligence, and digital transformation — building analytics infrastructure at scale and translating complex technical decisions into business outcomes executives can defend. I built DEN Agentic AI because I kept seeing the same pattern: organisations adopting AI without the readiness, governance, or capability to use it well.
Experience That Informs the Methodology
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