Service
Work Apps & Workflow Automation
I build focused tools for requests, checklists, handovers, approvals, reporting packs, document search and lightweight work management. They can complement EAM, ERP or another core system, but do not depend on EAM. AI is used only where the data, ownership and workflow context are clear.
Call when Manual office workflows slow work down, or a defined operational process needs a lightweight tool without replacing the core system.
What I do I design and build a small work app, office workflow or automation around the systems you already use, with clear ownership, controls and handover.
You receive Usable pilot, guardrails, documentation, a lightweight work-management workflow and a decision to harden, integrate or stop.
Typical starting points
Concrete issues this work can handle
The service is useful when the issue is specific enough to inspect in real systems, reports, data samples or daily workflows.
Lightweight issue or work request capture
Checklists, inspections and approvals
Reporting packs assembled from operational inputs
Small tools around Excel, Teams, SharePoint, Google Workspace, APIs and system exports
Document and procedure search inside operational workflows
Scope and deliverables
What I review, change and hand over
The scope stays close to the systems, data and workflows that affect day-to-day work. The deliverables are designed to support a clear next decision.
Scope
Focused workflow and work-management tools
Microsoft 365 and Google Workspace workflows
Operational checklists and reporting packs
Small scripts and API-supported automation
Lightweight work-management applications
AI-assisted summaries and knowledge retrieval
Deliverables
Usable pilot with real operational input
Clear ownership and guardrails
Documentation for repeatable use
Decision to harden, integrate or stop
Reduced manual coordination
Focused alternative to uncontrolled spreadsheet workflows
How it works
How the engagement works
A defined sequence keeps the work focused. Representative examples and access to the right owners make the review faster and more reliable.
Steps
Define the workflow and what stays in the existing core systems
Prototype a small work app, Office workflow or automation
Validate with daily users
Harden, integrate or stop based on operational value
Fit and boundaries
Good fit and clear boundaries
A focused scope makes the work easier to evaluate, deliver and hand over.
Good fit
- Teams with manual work spread across email, documents and spreadsheets
- Situations where a full system change would be too heavy
- Temporary or transitional operational workflows
- Local teams that need practical work-management support
- Processes that only need work orders, status, comments, checklists and reports
- Partners who need a lightweight tool around a larger implementation or platform
Not included
- Not an attempt to replace a stable core platform
- Not a generic AI chatbot for everything
- Not uncontrolled shadow IT
- Not a full enterprise-platform implementation
- Not automation without ownership
- Not a tool that ignores existing master data and reporting needs
Related services
Useful next steps and related services
Operational problems can cross system, data, interface, workflow and AI/ML boundaries. These services are often relevant together, but each can also stand alone.
Applied AI/ML Pilot A specific AI/ML use case needs to be proven against real data and daily work. Data Quality & AI Readiness You see AI or machine-learning potential but need to identify a useful, feasible and responsible first use case. EAM Improvement Sprint You already know what needs to be changed.
Does this service fit your case?
Bring the current workflow or problem, a few representative examples and the business context. The first step is to decide what is worth changing, testing or leaving alone.