01 · AI workflow process
Make every decision reviewable.
The process maps the workflow, defines controls, implements a bounded system, verifies it with representative cases, and hands it to the people who will operate it.
Discovery · architecture · build · verification · handover
02 · Delivery sequence
Every stage leaves a reviewable decision.
The exact time and deliverables belong to the written proposal. The sequence exists to keep risk, control, verification, and ownership visible.
Item 01
Discovery
I map the current workflow, its trigger, inputs, decisions, output, failure modes, and human review points. The result is enough shared context to decide whether implementation is useful and responsible.- What I need
- A person who understands the current workflow · Representative inputs and expected outputs · Known privacy, compliance, or operational constraints
- What you get
- A bounded problem statement · Open questions and risk decisions · A written proposal when the work is a fit
- Timing
- Scope dependent
Item 02
Architecture
I define the data path, tools, permissions, human controls, observability, and recovery behavior before implementation choices become expensive.- What I need
- Approved access boundaries · Current API or system documentation where available · A decision owner for unresolved workflow questions
- What you get
- Architecture and data-flow decisions · Named control and recovery points · An implementation sequence
- Timing
- Inside the scoped delivery window
Item 03
Build
I implement the smallest end-to-end workflow that can be exercised with representative inputs. Changes remain reviewable and are expanded only after the core path works.- What I need
- Approved integration access · Timely answers to scope questions · A safe environment for representative testing
- What you get
- A working scoped workflow · Reviewable implementation changes · Visible failure and recovery behavior
- Timing
- Inside the scoped delivery window
Item 04
Verification
The workflow is exercised against agreed representative cases, including failure paths and the points where a person must review, approve, or recover an outcome.- What I need
- Representative test cases · A reviewer who can judge useful output · Agreement on material failure conditions
- What you get
- Recorded acceptance findings · Known limitations and recovery guidance · A release decision
- Timing
- Before production handover
Item 05
Handover
I transfer the implementation context and operating guidance defined in the proposal. Post-launch support and response expectations are confirmed per engagement rather than implied by the page.- What I need
- An operator for the working system · Final production access where required · Acceptance of documented limitations
- What you get
- The proposal-defined source and documentation · Operating and recovery guidance · A recorded handover decision
- Timing
- Defined in the written proposal
03 · Typical delivery
AI workflows usually land inside one to three weeks.
That is a public starting range, not a promise for every integration. Data access, risk controls, system count, and review requirements determine the written delivery window.
The proposal owns the commitment
Public ranges help with initial fit. Integration access, risk controls, system count, and review requirements determine the actual delivery window.
04 · Handover
Leave an operator-ready record.
Handover describes what is ready, what remains limited, and who owns the next decision.
Item 01
Implementation record
The source and architecture material named in the written proposal.Item 02
Operating guidance
Known controls, limitations, failure recovery, and routine operation.Item 03
Handover decision
A shared review of what is ready, what remains open, and who owns the next action.
05 · Questions
Process questions
What the process does and does not guarantee.
How long does an AI workflow take?
The canonical public range is one to three weeks. The written proposal confirms the actual window after integrations, controls, data, and review requirements are understood.
What do I need to provide?
A person who understands the workflow, representative inputs and outputs, appropriate system access, and timely decisions on scope and risk.
What happens when an output is wrong?
The architecture names material failure conditions, the human review path, and recovery behavior before production handover.
What happens after launch?
Post-launch support and response expectations are defined per engagement in the written proposal.
06 · Next step
Start with one workflow.
Project fit, timing, and a start window are confirmed after I review the brief.