No map of the AS-IS
The real process lives in meetings, tickets, spreadsheets, and manual workarounds, never written down in one place.
Methodology
How we work.
Four moves, one engagement. We map the AS-IS, design where AI agents fit, document the gap, and run the transition with the teams who own the work.
You can't automate what you haven't mapped.
Expert judgment carries the work until you try to scale or automate it. Simploworx maps the AS-IS, designs a TO-BE where AI agents take on what can be automated, and documents the gap before you commit to the change.
No agreed TO-BE
Teams adopt AI agents and change roles without a shared target state, so ownership, controls, and decision rights stay informal.
No measure of the gap
No one measures the gap between how work runs today and where AI agents fit, so automation gets pointed at the wrong work and has to be redone.
Services
From your AS-IS to an AI agent organization.
Four moves, one engagement. We map how work runs today, including the manual steps, design an AI agent organization, surface the gap between them, and transition you there phase by phase.
Map the AS-IS
Document how work actually flows today across every system, handoff, and decision, including the manual workarounds and spreadsheets holding it together.
Map the TO-BE
Design the target state: an AI agent organization with clear ownership, controls, and humans in the loop where it matters.
Map the gap
Set current and target side by side to surface what is missing, redundant, manual, or risky, and what it takes to close the distance.
Hands-on transition
Move your organization onto AI agents in phases, with owners, measures, and checkpoints that keep change on track.
Method
The same four moves, every engagement.
AS-IS, TO-BE, gap, and transition: each step ends in an artifact your teams can act on.
Map the AS-IS
Capture the current state with evidence: handoffs, exceptions, controls, data movement, and every manual workaround.
Map the TO-BE
Design a TO-BE that supplements the work with AI agents where it can be automated, then compare options by cycle time, risk, cost, and adoption.
Map the gap
Put AS-IS and TO-BE side by side to document what is missing, redundant, manual, or risky.
Hands-on transition
Transition your organization into an AI agent organization phase by phase, with owners, playbooks, and measurement checkpoints.
Modeling standards
Maps built to be read, not decoded.
A process map is a communication tool first. We keep the notation simple and the flow left to right, so the people who own the work can validate it on sight.
Swimlanes for ownership
Every task sits in the lane of the role that performs it, so handoffs and accountability are impossible to miss.
Simple notation, on purpose
Start and end events, tasks, and decision gateways. Enough to be precise, never so much that it hides the work.
Numbered, left to right
Steps are numbered and read left to right, so the order of the work is never in question.
Level by level
We start with a one-page skeleton, then decompose one step at a time into the detail a decision actually needs.
Built from evidence
Drawn from interviews and walkthroughs with the people who run the process, and corrected until it matches reality.
Iterate until it holds
Each level of detail has to fit between the steps around it. When it does not, the level above changes. We plan for that.
Results
What you walk away with.
01
A trusted AS-IS map covering every system, handoff, and manual workaround in one place
02
A TO-BE AI agent organization with clear owners, controls, and decision rights
03
A gap analysis that ranks what to fix, automate, or retire
04
A phased transition onto AI agents, with measures that make drift visible
Start here
Ready to map your AS-IS?
Book a session to scope the work and find where AI agents fit.