How we craft AI that ships.

From discovery to deployment. A proven process that delivers working solutions—not abandoned prototypes.

Four phases. 4-8 weeks. Working systems.

  1. 1

    Intake & Reality Check

    Week 1

    What Happens

    • • Clarify the real problem (not the stated problem)
    • • Map constraints: budget, team capacity, data quality, existing workflows
    • • Identify edge cases and failure modes
    • • Define success metrics (what changes when this works?)

    Deliverables

    • Problem definition document
    • Constraint map
    • Success criteria
    • Estimated timeline

    Why This Matters

    Most AI projects fail because they solve the wrong problem. We start by understanding what actually breaks, who it affects, and what "fixed" looks like.

  2. 2

    System Design

    Week 1-2

    What Happens

    • • Design what the AI needs to know, do, and integrate with
    • • Map RACI (who approves, who's informed, who executes)
    • • Build guardrails and approval flows
    • • Design data structures and agent architecture
    • • Plan for human-in-the-loop scenarios

    Deliverables

    • System architecture diagram
    • Data schema
    • Workflow map
    • Integration requirements
    • Risk mitigation plan

    Why This Matters

    AI doesn't work in isolation. We design the full system—including the people, processes, and governance around it.

  3. 3

    Build & Ship MVP

    Week 2-6

    What Happens

    • • Weekly demos (you see progress, not surprises)
    • • Small, safe releases into production
    • • Iterate based on real use (not assumptions)
    • • Test edge cases as we discover them
    • • Refine based on actual user behavior

    Deliverables

    • Working MVP deployed to production
    • User feedback log
    • Iteration backlog
    • Performance metrics dashboard

    Why This Matters

    We ship usable work every week. If something doesn't work in production, we know in week 2, not week 12.

  4. 4

    Scale & Handoff

    Week 6-8

    What Happens

    • • Expand to full workflows (beyond MVP scope)
    • • Train your team on operation and maintenance
    • • Document everything (no tribal knowledge)
    • • Set up monitoring and alerting
    • • Plan for ongoing improvements

    Deliverables

    • Production system at full scale
    • Training materials and SOPs
    • Technical documentation
    • Monitoring dashboard
    • Improvement backlog

    Why This Matters

    You own what we build. We don't disappear after launch—we make sure your team can run, maintain, and improve the system.

How we're different.

Ship Fast, Iterate Faster

Weekly demos mean you see progress and can course-correct early. No surprises at the end. If something's not working in week 2, we fix it in week 3—not after launch.

Measure What Matters

Before/after snapshots and clear metrics. If we can't measure it, we don't claim it. Success means real outcomes (hours saved, users served, errors prevented)—not "AI is live."

Build for Handoff

Documentation, training, and support included. You own what we build together. We don't create dependency—we create capability.

Reality Over Theory

We design for messy data, incomplete information, and real constraints. If it only works in perfect conditions, it doesn't work.

Every engagement includes:

What You Get

  • Weekly demos

    See progress every week, not just at the end

  • Working software

    Production-ready systems, not prototypes

  • Documentation

    Technical docs, SOPs, and runbooks

  • Training

    Your team learns to operate and maintain the system

  • Source code access

    You own everything we build

  • Ongoing support

    2 weeks post-launch support included

  • Improvement backlog

    Prioritized list of future enhancements

  • Performance metrics

    Dashboard showing real impact

What You Don't Get

  • PowerPoint decks with recommendations
  • Prototypes that collapse under real use
  • Systems that require us to maintain forever
  • Vendor lock-in

How we work together.

Fixed-Scope MVP
Timeline4-8 weeks
Best forClear problem, one system
DeliverableProduction-ready MVP
PricingProject-based quote
Example: Build LocalConnect (business support navigator) from kickoff to production.
Popular
Retainer Partnership
TimelineOngoing (3-6 mo min)
Best forMultiple systems, evolving needs
DeliverableRegular releases, priority support
PricingMonthly retainer
Example: CEED partnership—8 MVPs over 6 months, ongoing improvements.
Custom Build
TimelineVaries
Best forComplex, enterprise needs
DeliverableTailored to requirements
PricingCustom quote
Example: FoundryAI pilot—multi-tenant, white-label system.

Built for organizations that can't afford to fail.

Non-Profits & Community Orgs

Need to serve more people without adding headcount. Limited budgets, high impact requirements, mission-critical reliability.

Example: CEED—built 8 systems to scale entrepreneur support across the region.
Accelerators & Ecosystem Builders

Managing cohorts, matching mentors, evaluating applications. Need structured workflows that don't break as programs scale.

Example: Mentorship matching and application triage systems that handle peak season.
Growing Orgs with Legacy Friction

Running on spreadsheets and manual processes. Need AI that integrates with existing tools, not replaces everything.

Example: Automating weekly reports that took 6+ hours of manual data collection.

Ready to get started?

Book a free 30-minute discovery call. We'll map your use case, identify constraints, and outline a realistic path forward—whether that's working with us or not.

Made by AiCrafted❤️