Document and case handling
Receive emails and documents, extract and check data, record status, and route the case to the next owner.
The AgentizeMe operating system
You do not need more AI.You need a better-run business.
Another tool will not repair a broken workflow. First, the operation must reveal where work stalls, who decides, which data is missing, and how the result will be measured.
AgentizeMe uses a repeatable method to diagnose, redesign, and turn a critical workflow into a working system. AI is added only where it can reduce time, errors, or uncertainty.
AI is not the goal. A better-run business is.
Let’s look at the first operating problem
A short, free first conversation.
Advice is not a system
A problem can be analysed well.Operations change only when that analysis becomes a system people can use.
Most operating problems do not come from one bad decision. Tasks live in email, people’s heads, and separate files. Status is hard to see, approvals depend on one person, and the same information is created more than once.
AgentizeMe is not open-ended consulting. The work follows clear stages, produces concrete deliverables, and ends each stage with a decision.
- Where does the workflow break today?
- What result is expected, and how will it be measured?
- Who owns each step and decision?
- What data is needed, and where does it come from?
- Where is human review or approval required?
- Which part should AI or automation support?
AgentizeMe does not sell hours. Its repeatable method turns the selected workflow into a working system.
A senior architect behind the method
I learned how to run businesses by running them.That experience became the AgentizeMe method.
I have led companies and built businesses for more than twenty years. I served as finance and operations director at SAP Hungary, CEO of Synergon, and later CIO of a corporate group.
Today I run my own company. Over the past years, I built a regulated international service business. Our daily work involves law, public authorities, personal data, corporate clients, and cross-border workforce cases.
My role in AgentizeMe is to lead diagnosis and system design as the senior architect.
The value of the service does not come from hours spent. The shared diagnosis, standard decision framework, system blueprint, control points, and working pilot form the AgentizeMe method.
When work touches clients, personal data, money, or public authorities, speed is not enough. Sources, access, human control, and accountability must be designed into the system.
Mark leads the diagnosis and system design as senior architect. AgentizeMe is structured around a repeatable method, concrete deliverables, and a pilot built for the client’s real workflow.
The productised service
Not open-ended consulting.A repeatable method with concrete outputs.
You are not buying
- An unlimited block of consulting hours
- A presentation without an execution path
- Technology chosen because it is new
You receive
- A current-state workflow map and measurement baseline
- A priority decision based on business value and risk
- A redesigned workflow with roles and control points
- Defined data and AI boundaries
- A pilot tested in daily work and a decision on what comes next
Where does AI enter the system?
AI enters where the workflow and data are ready for it, and where the result can be measured. If another approach is better, AgentizeMe does not force AI into the answer.Common operating breakpoints
Which system should come first?
Research and decision preparation
Review and compare sources, track changes, and prepare a traceable decision brief.
Internal knowledge system
Organise rules, earlier cases, and internal documents so colleagues can find and use the right material quickly.
Repeated professional work
Collect information, prepare a first analysis and draft, then require human review before the professional decision.
Client and back-office workflows
Bring onboarding, documents, status, deadlines, and related coordination into one operating system.
Reporting and management decisions
Combine data from several places, flag differences, and create clear decision points for management.
AgentizeMe designs the operation first. Technology follows.
workflow · roles and controls · AI assistant · automation · agent · knowledge system · small custom application
Internal pilot
A regulated workforce-compliance workflow.Internal pilot. Business impact is now being measured.
StampLane internal pilot
The internal pilot connects case facts, the responsible party, the next deadline, a validated source, and completion evidence in one system.
Internal build. Not a client result. No ROI claim. The system design, access model, and technical acceptance are documented; business impact measurement remains open.
- case facts, responsibility, and the next action in one place
- source-backed tasks and deadlines
- role-based access boundaries
- human approval and review points
- completion evidence and an audit trail
The next measurement cycle
- median time required to assemble a complete case status
- presence of owner, next action, deadline, and source in one view
- number of manual searches required for one case
- missing evidence and approaching deadlines found in time
The AgentizeMe method
Three client stages. Four internal activities.Audit = Map. Sprint = Design. Pilot = Build + Prove.
Map · Operating System Audit
AgentizeMe records the current workflow, roles, data sources, errors, lead time, and measurement baseline. The stage closes with one selected operating problem.
Design · Workflow Redesign Sprint
AgentizeMe defines the new workflow, decisions, approvals, data boundaries, and solution blueprint. This is where AI must earn its place.
Build · Working System Pilot
The smallest working system is built. It is not a demo. It is a pilot that can run inside the real workflow.
Prove · Working System Pilot
The result is compared with the baseline. Team use, time, errors, and controls determine whether the system should be extended.
Data, decisions, accountability
AI has boundaries.They are part of the system design.
The task determines how much autonomy AI can receive.
- which data it may access
- what it may do on its own
- which outputs require human review
- when separate approval is required
- which decisions always remain with a person
- how the source of an output can be traced
This matters most when the work involves personal data, financial or legal risk, professional responsibility, or public-authority requirements.
The goal is not to let AI make more decisions. The goal is to make the work more dependable.
Three client stages
One system. A separate commitment at each step.
Operating System Audit
A focused diagnostic: current-state workflow map, measurement baseline, priority decision, risks, and the business case for the first system.
A fixed-fee standalone decision pack. Scope and fee are agreed after the first conversation; there is no obligation to continue.Workflow Redesign Sprint
The new workflow, roles, data sources, controls, AI boundaries, and a detailed plan for the buildable solution.
A concrete system blueprint and an agreed pilot scope.Working System Pilot
Build the smallest working system, test it in real work, measure it, hand it over, and decide what should happen next.
A usable pilot. Measured results. A next decision.Start with the operation
You do not need to know which AI system you need.
Show AgentizeMe the workflow that is slow, manual, opaque, or dependent on one person.
The first conversation determines whether the workflow fits an Operating System Audit.
If AI is not the right answer, AgentizeMe says so.
Technology follows from the system design.If this sounds familiar, this is the right starting point
We have an operating problem. I do not want more advice. I want a system that works in daily operations.
Let’s look at the first operating problem
A short, free first conversation.
Prefer email? mark@agentizeme.com