Know whether your AI is delivering.
When you have spent on AI and cannot point to the return, we help you measure it, validate it, and decide what comes next.
The AI Validation Gap is one of four diagnostic frameworks Sonatafy uses to find what's really holding product and engineering teams back. We identify where AI reaches production without evaluation, measurement, or a feedback loop anyone trusts, then, when execution is the answer, build validation into the delivery lifecycle. Strategy before implementation. Validation before scale.
Assess. Build. Deliver. & Measure.
Assess: find out whether your AI is working.
Diagnose before we prescribe. Start with an independent read on where your AI stands, separating what you know, what you think you know, and what your systems would need to confirm.
Engineering Value Diagnostic
A five minute self guided check that places your organization in one of five maturity bands and points to the right Snapshot.
AI Readiness & Value Snapshot
A complimentary 30 minute executive session with a senior US based Sonatafy leader, followed by a one page written read within two business days. It starts with one question: where can AI create measurable value, and are we actually ready to implement it?
AI Validation Assessment
For AI that is already live, a paid Assessment provides evidence of whether it is accurate, monitored, governed, and producing measurable value. No single authority publishes an integrated benchmark for AI validation, monitoring, productivity, and governance, so the Assessment is anchored in the AI Validation Gap and backed by an applied AI practice. Learn more about Snapshots and Assessments.
What we look for:
- AI features released with no evaluation framework or defined quality bar.
- Hallucinations reaching production undetected, and model drift nobody is watching.
- AI features quietly pulled after launch.
- A board asking whether the AI is working, with no data behind the answer.
We assess the system, not your people.
Build and deliver: validate before you scale.
We recommend the smallest sensible next step. Sometimes the answer is an AI initiative. Sometimes it is addressing the data, the architecture, the workflow, or the process first.
AI Consulting
Find where AI creates real value before spending heavily to build it. Covers LLM strategy, AI roadmaps, build vs buy, model selection, RAG architecture, agentic workflows, data readiness for AI, and AI cost optimization. Explore AI consulting and development.
Evaluation built in
Production AI features are delivered with evaluation harnesses covering accuracy, drift detection, and edge-case behavior. In a Managed Delivery POD, the built-in AI architect defines evaluation criteria before launch and treats whether the output is correct as a first-class delivery requirement. A Managed Delivery POD can take on AI-powered product development: copilots, summarization, agentic workflows, and custom AI built on your own data. See how Managed Delivery PODs work.
AI Cost Optimization
We help identify and validate where AI spend can be optimized and reduced, then help lower costs. No savings figure is promised up front.
Assessment, then Implement
Every Assessment runs Baseline, Plan, and Implement. The Plan prioritizes the gaps, and in Implement, Sonatafy closes the gaps it found. Take one, two, or all three phases.
Sometimes the answer is to adjust something internally, or to wait. A partner willing to tell you to wait is a partner willing to be measured.
Measure: Your Team. Our Team. One Scoreboard.
Technical and business metrics are defined at the start and reported in quarterly business reviews, on the same scoreboard as yours. Our performance is measured against the outcomes we recommended. Nexxus, Sonatafy's delivery instrumentation platform, is how you see it.
The AI Validation Gap FAQs
Know Where Your Software Organization Actually Stands.
Start with a complimentary AI Readiness & Value Snapshot: a 30 minute executive session with a senior US based Sonatafy leader, followed by a one page written read within two business days.