BIITS AI Strategy Portfolio

🔄 The Process

How BIITS takes your organisation from AI readiness to AI-native operations — phase by phase, gate by gate.

5 Phases 4 Gates ~40 Activities Small · Medium · Enterprise
🧭

Every client starts with a diagnosis. Every phase ends with a gate.

No phase is skipped. Each gate is a go / no-go decision made together with your leadership — because 70% of AI failures originate in the foundation, not the technology. We only move forward when the conditions for success are in place.

5
Phases
4
Gates
~40
Activities
Phase Overview
PH 0
🔍
Assess & Align 2–8 weeks
PH 1
🏗
Foundation 6–20 weeks
PH 2
⚡
Generate Value 8–24 weeks
PH 3
🤖
Autonomize 12–28 weeks
PH 4
🚀
Scale & Industrialize Ongoing
Phase 0
🔍
Assess & Align
2–8 weeks
💬
"We don't know where to start with AI."
Most organisations have enthusiasm but no clarity — which AI investments will actually move the P&L, and which are just hype? We establish the starting position, align leadership, and build the ranked use-case list that drives everything that follows.
What we do
1
AI maturity baseline score (INK / EFQM Phase I–V)
2
Map AI opportunities to revenue, cost & risk outcomes
3
Score & rank use cases (value × feasibility × data × risk)
4
Stakeholder alignment & executive mandate confirmed
5
Regulatory envelope scan: EU AI Act, GDPR, sector rules
What you receive
DATAAI Readiness Diagnostic Report (INK score)
DOCUse Case Priority Matrix (scored & ranked)
DOCStakeholder Map & RACI
DOCEngagement Scope & Success Criteria
Gate 0 → 1
Gate decision
Do we have mandate + a ranked use-case list?
Executive sponsor named & confirmed
Top 3 use cases tied to P&L outcomes
Engagement scope agreed and signed off
↩ If no → Run AI Business Case Workshop first
Phase 1
🏗
Foundation
6–20 weeks
💬
"Our data is a mess. We're not ready to build on it."
70% of AI projects fail here — not in the model, but in the foundation. Poor data quality, broken pipelines, and no compliance baseline are the silent killers. We fix the ground before we build on it. Every time. Non-negotiable.
What we do
1
Full data audit: quality, lineage, access, labelling gaps
2
Infrastructure readiness: cloud, MLOps pipeline, monitoring, security
3
Traditional AI quick wins: automation, classification, prediction
4
Draft AI Principles & Ethics Policy (HITL baseline)
5
Compliance baseline: EU AI Act risk classification, GDPR data flows
What you receive
DOCAI Strategy Roadmap (draft v1)
DATAData Landscape Map & Readiness Scorecard
GOVAI Principles & Ethics Policy
DOCInfrastructure Readiness Assessment
Gate 1 → 2
Gate decision
Is the data foundation solid and first ROI proven?
Data readiness score ≥ 16 / 24
At least 1 validated use case ready for pilot
Infrastructure live; compliance baseline complete
↩ If no → Fix data & infra gaps. Do not proceed.
Phase 2
⚡
Generate Value
8–24 weeks
💬
"We've tried AI tools before. They didn't stick."
Pilots without adoption strategy die in the proof-of-concept phase. We run structured GenAI sprints with built-in kill/scale discipline and change management — because technology adoption is a people problem, not a software problem.
What we do
1
Launch 2–3 GenAI pilots (internal productivity first, customer-facing second)
2
Connect LLMs to your data via RAG pipelines
3
Upskill teams; redesign AI-augmented workflows
4
Measure KPIs weekly — kill underperformers fast, scale winners
5
Address adoption resistance with structured change management
What you receive
DOCPilot Results Report (ROI documented)
DOCTraining Plan & Capability Log
TOOLAI Position Tool (your organisation profile)
DOCUpdated AI Strategy Roadmap (v2)
Gate 2 → 3
Gate decision
Is value proven and is adoption real?
≥ 1 AI use case live in production
Measurable ROI documented & validated
Team adoption confirmed above baseline
↩ If no → Iterate pilots; address adoption blockers
Phase 3
🤖
Autonomize
12–28 weeks
💬
"Our AI is productive. Now the board wants governance."
Scaling without governance creates audit risk and board exposure. At this phase, AI agents start making decisions autonomously. We build the controls — audit trails, oversight protocols, GRC framework — that make that safe, defensible, and compliant with EU AI Act.
What we do
1
Design AI agent architecture: roles, tool access, memory, escalation paths
2
Implement 8-control AI GRC framework (bias, explainability, drift, audit trails, access, incident, vendor, regulatory)
3
Human oversight protocols: HITL / HOTL — no autonomous decisions in finance, HR, legal or security
4
MLOps & observability: monitoring, drift detection, model refresh cycles
5
EU AI Act & GDPR compliance verification; data subject rights mapped
What you receive
GOVAI GRC Framework Document (8 controls)
GOVHITL / HOTL / HIC Protocol Guide
GOVCompliance Readiness Report
DOCAI Playbooks & Runbooks
DOCExpanded Use Case Portfolio
Gate 3 → 4
Gate decision
Is governance operational and verified?
GRC framework live with named owner
≥ 2 use cases in production
HITL / HOTL protocols active
GDPR / EU AI Act posture documented
↩ If no → Strengthen controls; do not expand agent scope
Phase 4
🚀
Scale & Industrialize
Ongoing
💬
"AI works in one team. We need it to work everywhere."
Moving from a successful pilot programme to enterprise-wide AI capability requires a Center of Excellence, shared platforms, and a 3-year strategy the board can own. This is the phase where AI stops being a project and becomes the way the business operates.
What we do
1
Scale AI across all business units with shared platform & local use cases
2
Formally establish AI Center of Excellence with charter & operating model
3
Assess Physical AI relevance (robotics, IoT, digital twins)
4
Define Sovereign AI strategy (data residency, model ownership, jurisdiction)
5
Continuous optimisation: cost control, vendor governance, model refresh, emerging model evaluation
What you receive
DOCEnterprise AI Strategy (3-year plan)
GOVCoE Charter & Operating Model
DOCTransformation Impact Report
DOCOngoing Advisory Proposal
GOVEnterprise AI Standards Document
Target State
AI-Native Organisation
🏆 The outcome every BIITS engagement is built toward
AI embedded in operations across all BUs
Governed by policy, owned by your team
Measurable ROI documented enterprise-wide
Sustainable governance & continuous improvement
🏆
Target State

AI-Native Organisation — the outcome of a complete BIITS engagement

AI is no longer a project. It is a capability embedded in your operations, your governance, and your competitive strategy. You own it internally, governed by policy, measured by outcome — not dependent on external vendors for each next step.

🚀 Small · AI Kickstart · Ph0–2 · €7.5K
⚡ Medium · AI Strategy Sprint · Ph0–3 · €35K
🏗 Enterprise · AI Transformation · Ph0–4 · €120K