Client workflow · implementation learning
DMDL
A field check-in workflow reframed after discovery, with critical platform behavior tested through real-device use.
Arturo Solo LLC · Workflow and AI systems
When the work
no longer fits
the tools,
start with
the workflow.
I reconstruct how the work actually moves, find the real constraint, and determine whether the right next step is to simplify, buy, automate, or build.
The answer may be a simpler process, existing software, focused automation, a justified use of AI, or a custom system.
Bring me a bottleneck
Start with a recent example—not a predetermined tool.
Built work. Real operating context.
The proof is practical: operational workflows and client work described at the level the evidence supports—not inflated into outcome claims.
Public products
Software shipped outside client work
Internal workflows
Operational tools and processes
Client contexts
Small organizations and consequential work
AI work
In development, clearly labeled
Client contexts
Client system · in development
Joy for Books
An inventory-centered system connecting books, purchases, requests, donations, and visits through an auditable ledger.
Start with the decision. Build only when it earns its way in.
Two distinct engagements: Workflow Assessment establishes what should change and why. Custom AI Build implements a separately approved scope when the evidence supports it.
Workflow Assessment
A seven-business-day decision on what to change next.
I reconstruct one consequential workflow, identify the real constraint, and compare simpler process, existing software, automation, AI, and custom development.
- What you receive
- A decision-ready Implementation Brief: the current workflow, the recommended path, the evidence behind it, and the smallest valuable next step—followed by a findings and decision review.
- Decision paths
- Simplify · Buy · Automate · Build · Investigate · Defer
- Best fit
- A consequential workflow with an accessible decision maker, someone who knows the day-to-day work, and a recent example we can examine.
$1,500 fixed fee · Seven business days
The seven-business-day clock starts after payment and kickoff, with the decision owner, workflow lead, and agreed materials in place.
Workflow Assessment does not include a prototype or production implementation. Those are authorized and priced separately only when justified. The assessment fee is not automatically a deposit on a future build.
See if the assessment fitsCustom AI Build
Separately scoped implementation for a validated workflow.
For workflows with a supported need and a clear reason custom software or AI is the right path. That evidence may come from a Workflow Assessment or equivalent discovery already completed by your team.
- How it works
- We agree on the smallest useful boundary, acceptance criteria, ownership, and any feasibility tests before committing to implementation.
- Feasibility first
- When success depends on uncertain platform, API, device, or data behavior, we test that assumption under representative conditions before committing to the architecture.
- Delivery
- Build, representative testing, client acceptance, release, and post-launch responsibilities are defined in the approved scope.
Map the work. Choose the path. Build only what is justified.
01
Reconstruct the workflow
Walk one representative case from trigger to completed state. Identify the people, records, systems, handoffs, exceptions, workarounds, and the source that wins when records disagree.
02
Find the real constraint
Separate the requested feature from the operational problem. Compare simpler process, existing software, automation, AI, and custom software against the same requirements and evidence.
03
Act on the decision
Simplify, buy, automate, investigate, defer—or separately scope a build with clear acceptance criteria, feasibility gates, ownership, and a measurable boundary.
Why Arturo
Builder's judgment. Operator's discipline.
I can map the operation, test the hard assumptions, and build the software myself. That does not mean custom software is always the answer. You get one accountable partner who can recommend the lower-complexity path when it fits—and carry a justified build through implementation when it does not.
- ·Hands-on workflow assessment and implementation
- ·Evidence and tradeoffs in plain language
- ·No predetermined AI or custom-build pitch