Most AI features never earn back their build cost.
AI Products & Systems
AI workflows and agents built around tasks that happen at real volume and save real hours, or we tell you it's not worth building yet. Every integration ships with audit trails and usage logging built in.
Delivered inside
Built to hold™, fixed at $18,000
The problem
The AI feature is live. Nobody's using it.
Most "AI failures" we get called in on aren't technical. They're the same four mistakes, in this order:
You shipped an AI feature nobody uses
Usage graphs flatline after week one. The "wow" in the demo never became a habit.
The AI is right 95% of the time: users remember the 5%
One bad answer in front of a customer erodes more trust than ten good ones build.
Nobody can explain the ROI in one sentence
If the business case needs a slide deck to justify, it's a feature, not a filter.
Your data isn't ready, but the roadmap says Q2
RAG on messy, unstructured docs returns messy, unstructured answers.
6 feature requests this quarter
↓ ROI Filter: one sentence, in $ or hours saved ↓
Shipped (2)
Skipped (4)
Your guide
13 years building software before "AI" meant more than autocomplete. We've integrated OpenAI, Claude, and Llama into production systems that actually get used, and turned down more AI feature requests than we've built, because most fail the ROI test before they reach code.
More on how we workFree framework
The AI Build/Skip Checklist
Before we write a line of AI code, we run every idea through this. Most "AI features" fail this checklist, and that's the point.
- Does this replace a task someone does more than 10x a week, or is it a novelty?
- Can you explain the ROI in one sentence, in dollars or hours saved?
- Will it still be useful if the AI is wrong 1 in 20 times?
- Is there a non-AI version that's 80% as good and ships in half the time?
- Do you have the data to make this AI actually accurate, or are you hoping it'll figure it out?
- If this fails silently, does it cost you a customer, or just an afternoon?
The plan
How we actually do it.
Filter
Filter
Every idea run through the Build/Skip checklist before a design file gets opened.
Prototype the risky part first
Prototype the risky part first
The failure mode gets tested in isolation (hallucination, latency, cost) before anything gets built around it.
Ship with guardrails
Ship with guardrails
Human-in-the-loop checkpoints and fallback paths for when the model gets it wrong, because it will.
Watch usage, not launch day
Watch usage, not launch day
Real adoption tracked past week one; features that don't get used get cut, not defended.
What's included
Where AI pays for itself
Every feature gets scoped against real usage first: 10x/week tasks, measurable ROI in hours or dollars saved. If it fails that bar, we don't build it, no matter how good the demo looks.
Agents that don't need babysitting
Guardrails and human-in-the-loop checkpoints tested against real failure cases before an agent ever talks to a live customer, not after.
Your data, answering in your voice
RAG built on your own docs, tickets, and CRM, so answers are grounded in what's actually true for your business. Stays yours. No vendor lock-in.
Witsberry didn't just build something that worked; Rikaz told me what features not to build, which saved me weeks of wasted development. Conversions jumped 60%+, we hit 18% monthly growth, a team that actually thinks before they code.
Syan, CEO of FS Analytics
If nothing changes
What happens if you skip the filter
Most AI features we're asked to fix later didn't fail technically. They failed the ROI test on day one and got built anyway. Six months later: a maintenance burden nobody uses, an API bill nobody budgeted for, and a roadmap slot that could've shipped something that mattered.
Free tool
Startup Runway Calculator
Not sure an AI feature is worth the build time? Run the numbers on your runway first.
Try it freeCommon questions
Other ways we help
Internal Systems & Operations Software
The software your business actually runs on. Inventory, orders, bookings, and finance in one system instead of six spreadsheets and a WhatsApp group. Architected so it can become a product you sell to others later, not just a tool you use now.
Learn moreSaaS Applications
Multi-tenant SaaS platforms architected for the users you have today, and built so your first external customer can onboard without touching the codebase. Priced on value, not seats.
Learn moreMobile Apps (iOS + Android)
Production-ready iOS and Android apps built for retention, not just a listing in the App Store.
Learn moreReady to build something that holds?
Start with the free WB-12 readiness audit. No call required, and you keep the report either way.
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