Agentic AI Creations

Extra digital labor — lightweight AI assistants that reduce repetitive work and improve decision visibility.

AI assistants can remove time-consuming, repetitive tasks without replacing human judgement. I build practical “agentic” helpers that run manually on demand or automatically on a schedule, using simple API connections where needed. These assistants help with monitoring, analysis, fluctuation alerts, and reporting — freeing people up for the creativity, context, and decision-making that only humans bring.

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What I Do

Three practical agent capabilities

These are lightweight assistants designed to fit your current tools and workflows without heavy IT projects.

1) Monitoring & Exception Detection

Watch key metrics (service, backlog, inventory, forecast error, OTIF)
Detect changes vs threshold/tolerance
Highlight “what changed” and likely drivers
Summarize exceptions for fast review

✅ Spend time on exceptions — not on checking everything.

2) Analysis & Root-Cause Support

Automated breakdowns (by SKU, lane, customer, region)
Trend and variance summaries
Structured narratives for leadership updates
Consistent logic for repeated analysis tasks

✅ Faster analysis with clearer insights and less manual work.

3) Reporting, Summaries & Decision Logs

Recurring KPI summaries (daily/weekly/monthly)
Auto-generated meeting notes and action lists
Decision log updates (owner, rationale, due date)
Consistent templates for stakeholder communication

✅ Better follow-through and less “status chasing”.

My Approach

Lightweight build, fast value

Agents work best when they are simple, reliable, and integrated into how teams already operate.

Define the job-to-be-done

Pick 1–2 high-friction tasks (monitoring, reporting, checks) where time is wasted weekly.

Set rules, thresholds, and outputs

What counts as an exception? What should the agent produce (summary, alert, dashboard)?

Connect to your data

Start simple (CSV/Excel) and expand to API connections when valuable.

Build the first working version

Deliver a usable agent quickly — then iterate with your team’s feedback.

Automate recurring runs

Schedule daily/weekly tasks with alerts to email/Teams/Slack (as needed).

Handover + repeatability

Simple documentation, templates, and guardrails so it stays useful after handover.

Deliverables & Focus Areas

What you get (and what typically gets removed)

Outputs are designed to remove repetitive work, reduce errors, and improve visibility without heavy tooling changes.

Typical deliverables

Exception monitor (thresholds + out-of-tolerance alerts)
Recurring KPI summary (daily/weekly email-style report)
Variance analysis pack (auto breakdown + narrative)
Action + decision log assistant (meeting-to-follow-through)
Light API integration (pull/push where valuable)
Run modes (manual on-demand + scheduled automation)

Common pain points I solve

Too much manual reporting and “copy/paste” work
Metrics checked too late (issues discovered after impact)
Inconsistent analysis quality across people/teams
Leaders want summaries, teams drown in data
Too much “status chasing” and meeting admin
Repeated questions answered from scratch every time
Burnout from low-value repetitive tasks

Outcomes

What improves when repetitive work is automated

The value is practical: less time wasted, fewer errors, faster visibility, and more time for judgement and decisions.

✅ Time savings each week

✅ More consistent analysis

✅ Faster exception visibility

✅ Improved accuracy

✅ Reduced burnout

Ready to add extra digital labor?

If you have repetitive monitoring, reporting, or analysis tasks that drain time — let’s talk. I can build a first working agent quickly, then iterate into a reliable assistant that fits your workflow.

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Amsterdam, NL EMEA