7 Days to a Prototype, 60 Days to Production: What a Real Automation Engagement Looks Like
A transparent, milestone-by-milestone breakdown of how an operations automation engagement actually works—from working prototype in 7 days to production-ready platform in 60.

You've been burned before. A consulting firm promised a "digital transformation" and delivered a slide deck six months later. An internal project started with fanfare and stalled in the engineering backlog. You're skeptical that any vendor can deliver meaningful results fast—and you should be.
This post isn't a vague promise of "rapid delivery." It's a concrete three-milestone framework you can hold us to: prototype in 7 days, MVP in 30, production-ready in 60. Every deliverable is named. Every client decision point is mapped. If we can't hit these milestones, you'll know within the first week—not the first quarter.
Why transparency matters (and why nobody else shows you this)
Dev agencies publish case studies after the fact but never reveal the timeline. Consulting firms publish process diagrams that are generic and non-committal. SaaS platforms show "getting started" tutorials, not engagement narratives. Everyone tells you what they built. Nobody shows you how the engagement actually unfolds.
Artomai publishes the actual milestones because we want you to hold us accountable. The 7-30-60 framework is our core operating principle: every engagement follows this cadence, and each milestone is a decision point where you evaluate progress and decide whether to continue. No long-term contracts. No six-month lock-ins. Just measurable progress at every stage.
Day 7: working prototype
The first milestone answers the most important question: "Does this team understand my problem?"
Days 1–2: discovery and workflow mapping
We start with a 60 to 90 minute deep-dive into your current workflows. We map every manual process, every system handoff, every spreadsheet that's quietly running a critical function. The goal is to identify the highest-ROI automation target—the process that, if fixed first, unlocks the most value.
This isn't a "requirements gathering" exercise that produces a 40-page document nobody reads. It's a focused diagnostic that produces a workflow map and a clear scope for the prototype.
Days 3–4: architecture and design
Solution architecture, data model design, and interactive wireframes. If we're connecting to existing systems—ERP, CRM, legacy databases—we map the integration points here. You see mockups you can click through. Not a slide deck.
Days 5–7: prototype build
A working prototype demonstrating the core workflow. Not a mockup—a functional application with real data flow. You can interact with it, stress-test it, and see exactly how the final product will behave.
What you see at Day 7: A working prototype that validates the approach. A clear scope definition for the MVP. Enough evidence to decide whether to proceed to the 30-day milestone—with zero long-term commitment.
Your time commitment: roughly three to four hours total. One discovery session, one design review, one prototype walkthrough.
The 7-day prototype is a risk eliminator. You invest minimal time and money to answer one question—"Can these people actually deliver?"—before committing to anything larger.
Day 30: MVP (minimum viable product)
The second milestone answers: "Does this solve my actual problem?"
Days 8–20: core build sprint
The full application takes shape. Database architecture finalized, business logic implemented, system integrations connected, user interface built. This is production-quality code—not throwaway prototype work. The prototype's core is extended, not rebuilt.
Days 21–25: integration and data migration
Live connections to your existing systems. Real data flowing through the application. If you're migrating from spreadsheets, the data moves here. No parallel entry. No manual sync.
Days 26–30: testing and iteration
End-to-end testing with real data and real users. Feedback incorporated in real time. Edge cases handled. The MVP is something your team can start using immediately for the primary workflow.
What you see at Day 30: A working application your team is actively using for the core workflow. Real data, real users, real results. It's not feature-complete—it's deliberately scoped to the highest-impact workflow—but it's delivering value every day.
Your time commitment: roughly four to six hours across the month. Weekly check-ins plus one testing session.
By Day 30, you have a working tool in production and measurable results. This is the proof point—the data you need to justify expanding scope or building the business case for Phase 2.
Day 60: production-ready
The third milestone answers: "Is this ready to be a permanent part of our operations?"
Days 31–45: feature expansion
Additional workflows, secondary user roles, advanced reporting, edge case handling. The scope expands based on what you learned from 30 days of real usage—not from a requirements doc written before anyone touched the software.
Days 46–55: hardening and scale
Performance optimization, error handling, security audit, load testing. The application is built to handle your current volume and your next growth phase.
Days 56–60: documentation and handoff
Full technical documentation, user guides, admin training. Clean handoff so your team can own the system going forward. No tribal knowledge lives on our side.
What you see at Day 60: A production-grade platform your team relies on daily. Full documentation. Clean handoff. A month-to-month support engagement if you want ongoing iteration—no long-term contract required.
Your time commitment: roughly four to six hours total. Weekly check-ins plus training sessions.
Why this timeline works: the decision-point architecture
The philosophy behind 7-30-60 is simple: every milestone is a natural decision point.
After Day 7: You've seen a working prototype. You decide whether the approach is right before investing in a full build. Cost to this point is a fraction of a full engagement.
After Day 30: You have a working MVP in production with real results. You decide whether to expand scope based on actual data, not projections.
After Day 60: You have a production-ready platform. You decide whether to continue with ongoing support or take the handoff and run it yourself.
At no point are you locked in. Every milestone produces something useful—even if the engagement stopped at Day 7, you'd walk away with a working prototype and a workflow map you didn't have before. This is the opposite of the traditional consulting model where value is backloaded to month six or twelve.
Proof: the AquaSmart engagement
AquaSmart, an oil and gas services company, was running operations on fragmented spreadsheets and locally stored databases. Reporting relied on manually-run scripts. Error reconciliation was entirely manual.
Through the 7-30-60 framework, Artomai delivered a centralized platform with automated data ingestion, customizable reporting, and API integrations. Day 7 produced a prototype showing the centralized data view. Day 30 delivered a working reporting engine with live data. Day 60: the full platform with API integrations, SharePoint sync, and a custom report builder.
The results: approximately 25 hours per month saved on reporting, 85% fewer data errors, 300% more granular reporting, and 80% faster report development. The team wasn't downsized—they were redeployed from manual report assembly to data analysis and strategic decision-making.
See the timeline for yourself
Book a free Workflow Audit and we'll map what your first prototype could look like in 7 days. No pitch deck. No six-month proposal. Just a focused conversation about your highest-impact workflow and a concrete plan to automate it.
If you need to build the internal case before starting, download the free Business Case Template and bring real numbers to the conversation.