Strategy & Vision
15%Existing AI/digital strategy, budget, KPIs, executive alignment
Methodology
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
Phase 1 · from a few days to 8 weeks
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.
Existing AI/digital strategy, budget, KPIs, executive alignment
Documentation, exception rates, manual handoffs, cycle times
ERP modules, custom code, integration architecture, API readiness
Master data quality, pipeline reliability, governance model
Current capabilities vs. AI-era requirements, training appetite
Change history, sponsorship, union/labor dynamics
GDPR, industry regulations, AI ethics policy
Digital touchpoints, satisfaction, self-service maturity
Where you stand
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.
Best next step
Pilot one high-value use case
Best next step
Build a portfolio with shared infrastructure
Best next step
Industrialize and expand to new functions
Best next step
Stay ahead - frontier models, agent orchestration
Phase 2 · from a few days to 4 weeks
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.
3–5 AI initiatives, sequenced by quarter
Quantified savings, revenue uplift, time-to-value
How it connects to your ERP, CRM, data warehouse
Technical, regulatory, organizational
For each component
Internal team allocations, external support, vendor selection
Model oversight, data access, change management
Phase 3 · 8 weeks to multiple quarters
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.
Task-focused or fully autonomous, integrated with your business systems
Over your documentation, manuals, regulatory archives, internal wikis
Connecting ERP, CRM, document management, communications
Maintenance, quality, demand, churn - production-grade not POC
For customer service, field operations, internal tools
Where off-the-shelf is not specific enough
So your team monitors what AI is doing, not just trusts it
No fresh-grad armies. The people you meet are the people who build.
Visible progress, no quarterly surprises.
Training, documentation, internal champions identified.
We leave your team able to run and extend what we built.
Working with us
Start with diagnosis
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.