Engagement model
Alfred is structured as a staged transformation partner. We start by finding the value with process intelligence, prove one use case fast, build the architecture and automations properly, and stay involved as the edge needs sharpening.
Find the Money
€6K-€9K
one-time
Process intelligence and AI opportunity mapping for the first commercial win.
Workflow, bottleneck, and manual-drag map
20-40 scored AI and automation opportunities
Top pilot recommendation and business case
Prove It Works
€15K-€25K
fixed + €2K/month
One problem. Six weeks. Measurable results.
Pilot plan with owners and success metrics
Working prototype, workflow, or automation
Commercial impact readout and scale decision
Build It Right
€40K-€80K
fixed + €4.5K/month
Commercial AI architecture and automation delivery for what proved valuable.
Architecture, integration, and data-flow design
Production workflow automation backlog
Documentation, governance, and enablement
Stay Ahead
€3K-€6K
monthly ongoing
Keep the edge sharp as AI and the market keep moving.
Monthly opportunity and performance review
1-2 workflow improvements or experiments
Tool evaluation and capability building
Best for
Primary situation
Best for urgent proof
Best first step
Best for urgent proof
Best for scaling
Best for continuity
Typical scope
6-week pilot scope
2-3 week sprint
6-week pilot scope
8-12+ week implementation
Monthly advisory rhythm
What you get
Main output
Working pilot and impact readout
AI opportunity blueprint
Working pilot and impact readout
Commercial AI architecture and automations
Optimization and workflow improvements
Working model
Joint delivery with client operators
Interviews, workflow evidence, and leadership alignment
Joint delivery with client operators
Requires management, process, and data ownership
Flexible ongoing partnership with monthly reporting
Alfred involvement
Pilot design, build, and measurement
Process intelligence and prioritization
Pilot design, build, and measurement
Architecture, implementation, and operating model design
Ongoing advisory, optimization, and capability building
Concrete artifacts
Pilot plan, working workflow, test results, and scale decision
Workflow map, AI backlog, scoring model, and business case
Pilot plan, working workflow, test results, and scale decision
Architecture, integration plan, automation backlog, and documentation
Monthly readout, improvement backlog, and adoption support
Commercial lens
Core goal
Show that one use case creates measurable value fast
Find where money, time, and conversion can be won back
Show that one use case creates measurable value fast
Scale the workflows and architecture that change team performance
Keep the commercial system current as AI evolves
Typical triggers
Manual work, weak conversion, slow follow-up, or poor CRM hygiene
Unclear AI priorities, process friction, or wasted licenses
Manual work, weak conversion, slow follow-up, or poor CRM hygiene
Successful pilot that now needs systems, ownership, and governance
Need for continuous improvement, tool evaluation, and new opportunities