RISE SMS: AI-assisted risk analysis
We developed AI-assisted risk analysis and scoring within RISE SMS, an aviation safety management platform that supports hazard reporting, risk assessments, and safety workflows.
Explore RISE SMSPractical AI solutions for your business
Our engineers help you identify where AI can improve operations, automate work, and create value. We design, build, and integrate AI solutions into the software your business already uses.
What we build and integrate
We help businesses find practical uses for AI, from automating repetitive work and analyzing information to improving existing applications and internal workflows.
Our engineers connect AI models to your software, data, and business processes. We evaluate where AI makes sense, where simpler automation works better, and how to build solutions that are reliable and cost-effective.
Problems we help solve
AI should solve a real business problem, not introduce unnecessary complexity. We help companies move from ideas and experiments to useful, dependable solutions.
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You see AI opportunities but lack a clear plan
You want to explore AI but aren't sure where to start or what will deliver value. We identify practical opportunities and a path to implementation.
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Your AI prototype isn't ready for production
An early AI experiment shows promise but lacks the reliability, integration, or testing needed for real users. We turn it into production-ready software.
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Security and reliability are concerns
Sensitive data, inconsistent results, and unpredictable behavior create risk. We design AI integrations with appropriate safeguards and oversight.
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AI costs and results are unpredictable
Inconsistent output, slow responses, and growing usage costs limit adoption. We improve performance, evaluate results, and control operating costs.
AI engineering in practice
An example of how our team has applied AI to support an existing business workflow.
Our approach
We apply our engineering process to AI projects, starting with the business problem and validating that the solution delivers meaningful value.
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Understand the business context
Identify the workflows, challenges, available data, and business outcomes that an AI solution should address.
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Plan, estimate, and reduce risk
Evaluate feasibility, data requirements, costs, and risks. Define a focused solution with clear criteria for success.
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Own the development lifecycle
Build and integrate AI capabilities into your applications, with testing, security controls, and appropriate human oversight.
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Ship in small increments
Release improvements in stages, evaluate real-world results, and refine performance, reliability, and costs over time.
Deliverables and ownership
We take AI projects from opportunity assessment through implementation, with clear ownership and the engineering discipline required for production software.
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AI opportunity assessment and roadmap
A prioritized evaluation of potential use cases, expected value, feasibility, and implementation requirements.
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Prototypes and proof of concept
Focused experiments to validate important assumptions and determine whether an AI solution is worth building.
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Production-ready AI integrations
Working AI features connected to your applications, business data, and workflows, with appropriate safeguards and testing.
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Testing, monitoring, and cost controls
Evaluation processes, performance monitoring, and operating controls to support reliable results and responsible AI usage.
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Ongoing engineering support
Documentation, clear system ownership, and continued improvements as your requirements, models, and workflows evolve.
Put AI to work for your business
Tell us where your team spends time on manual work or sees opportunities for improvement. We'll help determine whether AI is the right solution and define a practical path forward.