AI Solutions
Find where AI creates real value before spending heavily to build it.
Plenty of companies are experimenting with AI. Our clients are delivering with it. Sonatafy helps leaders decide where AI belongs, build it into the delivery lifecycle, and measure each initiative against the outcome it was meant to produce.
Our approach
Strategy before implementation. Validation before scale.
Sonatafy's AI and data specialists evaluate your workflows, data, architecture, and opportunities. Sometimes the answer is an AI initiative. Sometimes it is addressing the data, the architecture, the workflow, or the process first.
When AI is the answer, we validate the highest value opportunities through roadmaps, prototypes, proofs of concept, and production engineering.
What we offer
What AI Solutions cover
Decide where AI belongs
AI Strategy and Roadmap
LLM strategy, AI roadmaps, build vs buy decisions, and model selection.
Data Readiness for AI
A read on whether your data is ready for AI, and what needs to change first.
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.
Build it
AI-Powered Product Development
Copilots, summarization, agentic workflows, retrieval-augmented generation, and custom AI built on your own data, delivered by a Managed Delivery POD.
AI Process Automation
Automating workflows and operations with AI, delivered by a Managed Delivery POD.
Data for AI
Pipelines, data modeling, and preparing your data for AI, with platform experience including Snowflake and Databricks.
Prove it works
AI Readiness & Value Snapshot
A complimentary 30 minute session: where can AI create measurable value, and are we actually ready to implement it?
AI Validation Assessment
For AI that is already live. Evidence that it is accurate, monitored, governed, and producing measurable value.
Evaluation built in
Production AI features are delivered with evaluation harnesses covering accuracy, drift detection, and edge-case behavior.
Looking for something else?
How we work
How an AI engagement works
Clients can enter at any point and move through only the steps they need.
Executive alignment
Senior advisors work with your leadership on where AI creates real value, and where the data, architecture, or process needs to come first.
- AI Readiness & Value Snapshot
- Roadmap
Architecture
AI architects design for your data, security, and existing systems.
- Data readiness
- Model selection
Build and validate
Senior engineers take it to production with evaluation and measurement built in.
- Evaluation harnesses
- Production monitoring
Measure the return
Technical and business metrics are defined at the start and reported in quarterly business reviews, on the same scoreboard as yours.
- Business metrics
- One scoreboard
Case study
How an AI development platform accelerated AI feature development.
AI development platform | AI and emerging technology | Senior engineering
An AI-driven software platform required stronger engineering execution to scale feature delivery.
Execution had to keep pace
An AI-driven software platform required stronger engineering execution to scale feature delivery.
Experienced engineers, integrated
Integrated experienced engineers to support AI platform development.
Faster AI features
Accelerated AI feature development and improved engineering reliability.
FAQ
AI Solutions FAQs
AI consulting and strategy, AI-powered product development, AI process automation, data readiness for AI, AI cost optimization, and AI validation, from a complimentary AI Readiness & Value Snapshot through production delivery.
LLM strategy, AI roadmaps, build vs buy decisions, model selection, RAG architecture, agentic workflows, data readiness for AI, and AI cost optimization.
Start with a complimentary AI Readiness & Value Snapshot: a 30 minute session with a senior US based Sonatafy leader, followed by a one page written read within two business days. It looks at where AI can create measurable value and whether you are ready to implement it.
We spent on AI and cannot point to the return. AI reaches production without evaluation, measurement, or a feedback loop anyone trusts. It shows up as hallucinations reaching production undetected, model drift nobody is watching, or a board asking whether the AI is working with no data behind the answer.
AI validation is treated as a first-class engineering discipline. Production AI features are deployed with evaluation harnesses covering accuracy, drift detection, and edge-case behavior, including offline benchmarking against held-out test sets and online monitoring of output quality, user feedback, and business metrics.
Mitigation includes retrieval-augmented generation grounded in your own knowledge sources, structured output constraints, validation against schema and business rules, human-in-the-loop checkpoints for high-stakes decisions, and continuous evaluation. Drift is detected through statistical monitoring with alert-based remediation.
Sonatafy aligns AI engagements to the NIST AI Risk Management Framework as a baseline, with overlays as required by your industry, including healthcare, financial services, and EU regulatory considerations.
Not without your explicit written authorization. That includes commercial AI tools such as coding assistants, which Sonatafy configures to disable training on client repositories. If you prohibit AI tools on your codebase, that prohibition is enforced.
Yes. We help identify and validate where AI spend can be optimized and reduced, then help lower costs. No savings figure is promised up front.
Fee and scope are set in a scoping conversation. The AI Readiness & Value Snapshot is complimentary.
Next steps? You've got options.
Pick the path that fits where you are today.