From AI Awareness
to AI Performance.
Most AI roadmaps stall between strategy and deployment. This practice bridges that gap — producing not just recommendations, but buildable specifications, automation workflow designs, and governed deployment plans your team can act on immediately.
Currently accepting a small number of inaugural advisory engagements.
Services. One Coherent Journey.
Each service has a defined scope, a specific buyer, and named deliverables. Most organisations begin with the Diagnostic and engage further based on what it reveals.
Scores your organisation across six AI Readiness Dimensions — Strategy, Data Quality, Talent, Governance, Tools & Technologies, and Automation Readiness. Identifies your ceiling dimension and whether your tools and data infrastructure can support automation initiatives before any budget is committed.
A 13-step structured engagement across process discovery, use-case prioritisation, responsible AI assessment, workforce capability mapping, KPI design, ROI cost modelling, and a 90-day adoption strategy. Maps AI initiatives onto the Four Quadrants, applies a six-criterion Prioritisation Scorecard, and builds an automation-governance framework before any pilot begins.
Where most advisors leave you with a roadmap, this service produces buildable workflow specifications — then builds them. Stage A covers process discovery and SIPOC mapping, API integration audit (rate limits, payload schemas, authentication), automation feasibility assessment, human-in-the-loop gate design, and a full cost model with API token budgets. Stage B translates those specifications into production-grade n8n/Make pipelines with LLM nodes, human review gates, error-catch boundaries, and handover training.
Designs and builds the data foundation AI needs to stop hallucinating and start compounding on real business context. Covers data ingestion and pipeline design (Airbyte, MS Fabric Dataflow), data warehouse and lakehouse architecture (BigQuery, MS Fabric, PostgreSQL + MinIO), semantic modelling (dbt), orchestration (Airflow), and visualisation (Power BI, Looker Studio, Apache Superset). Includes Data and Knowledge Architecture Strategy, AI-Ready Data Transformation, and OpenMetadata cataloguing for lineage, ownership, and discoverability.
Deploys the operational infrastructure and human capability your organisation needs to sustain AI performance beyond deployment. Establishes your Live Workflow Registry, OAuth credential rotation schedules, and tested Incident Response Playbooks. Runs targeted AI skill assessments to identify adoption gaps, redesigns roles from reactive to proactive ("rowers to steerers"), updates KPIs, and configures an AI Adoption Dashboard with override rate monitoring at 30-, 60-, and 90-day gates.
The free 30-minute consultation is designed exactly for this — we review your answers, map your maturity level, and recommend the right starting point.
Start Before the Call
Four free tools that take under five minutes each. Use them individually or in sequence to understand your situation before we meet — each one maps directly to a step in the advisory methodology.
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 Check →Know exactly where your AI governance gaps are across six dimensions — policy, risk tiering, human oversight, data privacy, shadow AI, and training. Instant governance tier with specific gaps to fix first.
Take the Assessment →Score any AI initiative across five weighted criteria — Business Value, Data Readiness, Feasibility, Risk, and Governance. Get an instant priority rating, Four Quadrants placement, and your ceiling dimension to act on first.
Score a Use Case →Complete a short pre-call form and book a focused 30-minute session with Tariq. We review your maturity snapshot, surface your highest-value opportunities, and recommend the right starting point — no commitment required.
Book Free Call →All four tools are free, instant, and require no sign-up. Use the Readiness Check and Governance Assessment before booking your consultation for a more focused session.
Five Tools at the Core of AI Strategy
The same frameworks used throughout the advisory engagement — available as free PDF guides with worked examples on the Resources page.
Four Quadrants of AI Value
Classifies 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.
Step 5 · Core of Phase 2AI Capability Maturity Model
Six levels across six dimensions including the new Automation Readiness dimension. Ensures no initiative is scoped beyond what the organisation's infrastructure and team can actually support today.
Step 1 · All PhasesStrategic 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.
Step 7 & 9 · Phase 2Use Case Prioritisation Scorecard
Six-criterion weighted scoring model — Business Value, Data Readiness, Technical Feasibility, Risk, Governance Readiness, and Automation Feasibility. Prevents high-value, low-feasibility initiatives from consuming pilot budget before integration blockers are resolved.
Step 5 · Phase 2AI 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, connector availability, and automation literacy — preventing blockers from surfacing during pilot deployment.
Steps 1, 4 & 5 · Phases 1–2Actionable 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.
AI Maturity Diagnostic Report
Scored assessment across six dimensions including Automation Readiness — with specific evidence per dimension, ceiling dimension identified, and a prioritised improvement plan.
Use Case Priority Matrix
Top 3–5 AI initiatives mapped across the Four Quadrants with six-criterion scoring, viability pre-qualification, conservative ROI modelling, and automation feasibility verdict for each.
Process Maps & Workflow Automation Specifications
Current-state and future-state process maps for Q2 initiatives — including trigger events, AI node descriptions, decision branches, human review gates, error paths, and output destinations. A brief an engineer can build from on day one.
Responsible AI Assessment
Seven-dimension RAI assessment — including Automation Boundary & Override Design for workflow initiatives. Covers accountability, privacy, oversight, fairness, and data scrubbing controls built into the pipeline architecture.
AI Governance Framework
Approved tools register, risk tiering, escalation paths, automation registry, shadow IT automation policy, and credential rotation schedule. Covers both AI use governance and workflow automation governance.
Cost Model & ROI Calculation
Staged cost model with API token costs, platform subscription costs, oversight burden, semantic caching savings, and error/retry contingency. ROI calculated using an explicit variable-notation formula and presented at 60% of total for board defensibility.
AI Portfolio Roadmap
Four-horizon sequenced roadmap with Governance Milestones (G1–G6) and Automation Readiness Milestones (A1–A4) as non-negotiable prerequisites. No initiative advances past its maturity gate.
90-Day AI Adoption Strategy
Task redesign (what employees stop doing, what they do instead, day-30 named targets), override rate monitoring, manager enablement plan, and 90-day adoption cadence with specific go/no-go gates at 30, 60, and 90 days.
Strategic AI Initiative Canvas (per initiative)
Eight-component board-ready document per initiative — covering process map, data sourcing, human review design, KPI baselines, governance path, cost model, pilot scope, and success criteria. Complete enough to present to a board without the consultant in the room.
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
Strategy Defines the Path.
Training Builds the Capability to Walk It.
A Level 3 roadmap cannot be executed by a Level 1 workforce. Because the training curriculum and the advisory frameworks come from the same source, your strategy and your people's capability are built in alignment — not in isolation.
Four Courses — Aligned to Every Enablement Level
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