A configured platform trial
Use the simplest credible evidence when supported platform behavior and account-specific limits are the main uncertainty.
How We Work Product Operating Model
Validate the Workflow Before Committing to the Full Build
A software decision involves more than choosing features. The workflow has to work for its users, connect to the right systems, handle exceptions, and justify its implementation and operating cost.
The Argos Product Operating Model brings those questions into the work early, then uses evidence from real operation to guide what happens next.
Start with the business problem. The Discovery Call determines fit; detailed analysis and validation are paid work.
01Discoveryframe the decision
02Prototypetest the risk
Decision pointBuild · Revise · Defer · Stop
03Buildimplement in increments
04Measureobserve operation
05Improveprioritize next change
The method
The Argos Product Operating Model is our five-stage approach to understanding a business problem, validating the proposed workflow, implementing the justified solution, measuring its performance, and improving it over time.
A clickable experience or technical proof
Test user flow, integration, data access, performance, a difficult rule, or another material assumption before committing.
01 · Discovery
Understand the work and the decision.
Identify users, tasks, business rules, systems, data, handoffs, and exceptions. Establish what the current problem costs and what a useful improvement would look like.
- 01
Decision ownership
Clarify the business owner and who can approve requirements and priorities.
- 02
Constraints and dependencies
Identify access requirements, system limits, timing, participation, and material risks.
- 03
Outcomes and assumptions
Define measurable outcomes and the questions that need validation.
- 04
Paid discovery outputs
Evidence may include a workflow map, system context, problem definition, and prioritized questions. The initial call only establishes fit.
02 · Prototype
Test the assumptions that could change the investment.
Make the proposed workflow concrete so users can review how work moves, what information they need, and what happens when conditions are incomplete or unusual.
Clickable experience
Test navigation, task sequence, roles, content, and usability.
Shows experience—not backend proofConfigured workflow trial
Test supported platform behavior, permissions, and account-specific limits.
Shows platform fitTechnical proof
Test integration, data access, performance, or a difficult business rule.
Shows feasibility—not adoptionRepresentative AI examples
Test quality, human review, authority, failure response, and operating cost.
Shows bounded task evidenceThe decision point
Build. Revise. Defer. Or Stop.
The client makes the business investment decision with the evidence and recommendation from the engagement. A Build decision may authorize configuration, integration, custom development, or a combination.
Build
The workflow, feasibility, investment, ownership, and expected value justify implementation.
Agree scope + acceptanceRevise
The opportunity remains useful, but the workflow or technical approach needs another iteration.
Resolve the specific gapDefer
Timing, data, access, ownership, funding, or another dependency prevents a responsible start.
Record what must changeStop
The benefit, feasibility, adoption, or economics do not justify further investment.
Retain the findings03–05 · Delivery and operation
Implement, observe, and improve the justified workflow.
Release is the beginning of operating evidence. The agreement defines scope, responsibilities, dependencies, change handling, acceptance, and ongoing commitments.
Build in controlled increments
Configure, integrate, and develop with testing, documentation, migration, training, demonstrations, acceptance, and release planning appropriate to the system.
Measure whether the system improves the work
Use agreed baselines: completion, adoption, turnaround, errors, reliability, support effort, operating cost, and—for AI—correction, approval, and exceptions.
Improve from operating evidence
Prioritize refinements, technical debt, integrations, and new capabilities from user behavior, feedback, defects, bottlenecks, and business results.
A released feature is evidence of delivery. Continued use and improved operations are evidence of value. Where the baseline is incomplete, establish it and label early conclusions accordingly.
Working together
Keep business decisions and delivery responsibilities clear.
Ownership, access, staffing, meetings, demonstrations, acceptance, and escalation routes are defined for the engagement.
- 01
Your business owner
Provides priorities, operating rules, representative users, and timely decisions.
- 02
Your system owners
Provide agreed access and integration context.
- 03
Argos
Leads the scoped analysis, design, technical validation, engineering, QA, and delivery work.
- 04
Shared operation
Agree who approves requirements, accepts work, resolves exceptions, and operates the solution after launch.
Common questions
Questions about prototype-first delivery.
Is a prototype always required?
Validation should match the risk. A small, well-understood change may need a lightweight test. A larger commitment needs stronger evidence before production work begins.
Is a prototype production software?
Not automatically. Some work can carry forward; other artifacts exist only to test an idea or technical assumption. The scope defines purpose and limitations.
Can we start with an existing system?
Yes. Discovery can focus on the live workflow, constraints, dependencies, and proposed changes, leading to stabilization, integration, modernization, or ongoing improvement.
Who owns the outputs?
Ownership, reusable components, third-party licenses, documentation, access, and transition rights are defined in the agreement.
Start with the decision
Begin With the Problem and What Remains Uncertain
Whether you are building, modernizing, connecting systems, or improving a live product, start with the decision the business needs to make.
Detailed discovery, prototypes, assessments, and implementation planning are paid engagements.