AIXEL.solutions

Methodology

Three phases. No surprises. Real outcomes.

Most AI initiatives stall because nobody bothered to understand the business before promising technology. We start with diagnosis. Then we build a vision your leadership can defend. Then we ship.

Why three phases

AI projects fail in two places. We engineer around both.

Where AI projects die

  • 70% of digital transformations fail at adoption (people, not technology)
  • Most consultancies deliver decks. Few deliver production code.
  • Pilots that never scale because no one mapped the integration reality
  • AI models trained on data that nobody validated
  • C-level signs the budget but middle management resists

How AIXEL is different

  • We start with people and process, not platforms
  • One team owns the work from diagnosis to production
  • We validate data and integration paths before recommending solutions
  • Every deliverable maps to a quantified business case
  • Change management is in scope from week one - not an afterthought

Phase 1 · from a few days to 8 weeks

Diagnose

Evidence-based maturity assessment. Not opinions, not guesswork.

Before we propose anything, we understand the terrain. Where are you today across eight critical dimensions? Where is the friction that AI can resolve? Where is the data clean enough to train on? Where will the organization resist? For small organizations we run this in days. For large enterprises with multi-site SAP landscapes, weeks. Either way - evidence-based.

The 8 dimensions we assess

1

Strategy & Vision

15%

Existing AI/digital strategy, budget, KPIs, executive alignment

2

Process Maturity

20%

Documentation, exception rates, manual handoffs, cycle times

3

Technology Landscape

15%

ERP modules, custom code, integration architecture, API readiness

4

Data Readiness

15%

Master data quality, pipeline reliability, governance model

5

People & Skills

10%

Current capabilities vs. AI-era requirements, training appetite

6

Organizational Culture

10%

Change history, sponsorship, union/labor dynamics

7

Governance & Compliance

10%

GDPR, industry regulations, AI ethics policy

8

Customer Experience

5%

Digital touchpoints, satisfaction, self-service maturity

Outcome of Phase 1

  • AIXEL Maturity Index (1.0 – 5.0 weighted score across dimensions)
  • Heatmap of opportunity zones
  • Prioritized list of AI use cases mapped to your reality
  • Risk register

Where you stand

Four levels of AI maturity. Most companies live at level 1 or 2.

Your score across the 8 dimensions positions you on a 4-level maturity curve. The level determines what's possible next - and what would be wasted effort. We don't sell you a Level 4 program if you're at Level 1.5.

L11.0 – 1.9

Starters

  • Isolated or zero AI projects
  • Manual processes dominate
  • No data strategy
  • Reactive technology decisions

Best next step

Pilot one high-value use case

L22.0 – 2.9

Pathseekers

  • A few AI/automation pilots
  • Cross-functional initiatives starting
  • Basic analytics in place
  • Inconsistent ROI tracking

Best next step

Build a portfolio with shared infrastructure

L33.0 – 3.9

Transformers

  • Scaled AI with demonstrated ROI
  • AI Center of Excellence
  • Embedded governance and ethical guardrails
  • Strong data infrastructure

Best next step

Industrialize and expand to new functions

L44.0 – 5.0

High-Outcome

  • AI integrated enterprise-wide
  • AI generates new revenue streams
  • Innovation-first culture
  • Real-time decision intelligence

Best next step

Stay ahead - frontier models, agent orchestration

Phase 2 · from a few days to 4 weeks

Vision

An executive-ready AI roadmap with real business cases - not a wishlist.

Diagnosis tells us what's true. Vision turns it into a prioritized action plan. We don't hand you a list of 30 ideas. We give you a sequenced roadmap of three to five initiatives ranked by impact, feasibility, and time-to-value - each with its own business case your CFO can defend.

What you get in Phase 2

Prioritized roadmap

3–5 AI initiatives, sequenced by quarter

Business case per initiative

Quantified savings, revenue uplift, time-to-value

Integration plan

How it connects to your ERP, CRM, data warehouse

Risk register

Technical, regulatory, organizational

Build vs. buy recommendation

For each component

Resource plan

Internal team allocations, external support, vendor selection

Governance framework

Model oversight, data access, change management

Outcome of Phase 2

  • Board-ready presentation
  • Quarter-by-quarter execution plan
  • Estimated investment + payback timeline

Phase 3 · 8 weeks to multiple quarters

Implement

We build, deploy, and operate. The team that diagnosed the problem ships the solution.

No handoff between strategy and execution. The same team that mapped your processes builds the AI agents, RAG systems, automations, and predictive models that solve them. We integrate with your stack - SAP, Salesforce, custom systems, document repositories - and we own the rollout end-to-end.

What we ship

AI agents

Task-focused or fully autonomous, integrated with your business systems

RAG knowledge systems

Over your documentation, manuals, regulatory archives, internal wikis

Workflow automation

Connecting ERP, CRM, document management, communications

Predictive analytics

Maintenance, quality, demand, churn - production-grade not POC

Voice and multimodal interfaces

For customer service, field operations, internal tools

Custom fine-tuned models

Where off-the-shelf is not specific enough

Operational dashboards

So your team monitors what AI is doing, not just trusts it

How we operate

Senior-only delivery

No fresh-grad armies. The people you meet are the people who build.

Two-week sprints

Visible progress, no quarterly surprises.

Change management baked in

Training, documentation, internal champions identified.

Knowledge transfer from day one

We leave your team able to run and extend what we built.

Working with us

Predictable rhythm. Senior team. No surprises.

Discovery first

  • Day 0: scoping call - 60 minutes, no charge
  • Day 1-3 (small) / Week 1-3 (larger): kickoff workshop with leadership
  • Interviews, process mapping, data audit - scaled to your team size

Continuous executive alignment

  • Bi-weekly steering check-ins
  • Monthly executive readouts
  • Single accountable lead from AIXEL

Production rigor

  • Every deliverable reviewed against acceptance criteria
  • Documentation matched to your internal standards
  • Operational runbook for every system we deploy

Start with diagnosis

Not sure where you stand?

The fastest way to know what's possible is to start. A scoping call is free - bring your most stubborn process problem and we'll tell you what a path looks like.