Custom AI systems
Build applications, assistants, agents, and AI product features around your users, data, and existing software.
AI engineering for U.S. organizations
Build AI systems for the work your business actually does.
From a focused automation to a complex, integrated AI system, Ai Applied helps U.S. teams turn business needs into working software. We combine AI strategy, product design, data, cloud engineering, and implementation around the outcome you need.
One valuable problem
01Find the opportunity
02Build a focused solution
03Measure and improve
Strategy, engineering, and adoption in one practical path.
Built around your environment
Your problem sets the architecture.
We work with your existing applications, data, cloud environment, and preferred model providers. The right solution may use a simple rule, a specialized model, a knowledge assistant, or an agent that can take controlled actions. We choose the approach after understanding the work, the risk, and how success will be measured.
Workflow automation
Improve document intake, service requests, reviews, approvals, and system updates with the right mix of AI and conventional automation.
Cloud and model choice
Design for your cloud environment and evaluate model options against quality, security, cost, latency, and operational needs.
Where we can help
AI systems shaped around your work.
A strong project starts with a process or product that matters. We can help with document-heavy operations, customer service, internal knowledge, and software products across industries. Each solution is designed around the people, systems, decisions, and controls involved.
- Design and build custom AI applications and product features
- Automate document-heavy and multi-step processes
- Connect assistants and agents to approved business knowledge and tools
- Integrate AI with existing applications, data, and cloud services
How we deliver
Scope it, build it, test it, and make it usable.
We can start with an opportunity assessment, a focused pilot, or a defined production build. The scope depends on your current systems and the consequences of an incorrect result or action. We plan for evaluation, human review, security, and ownership from the beginning.
- Define the business outcome, users, constraints, and success measures
- Choose architecture, models, integrations, and cloud services for the job
- Build and test with representative data and real workflow cases
- Deploy with monitoring, controls, and a clear handoff plan
Working across the border
Make the practical details explicit.
Ai Applied is based in Canada and can work with U.S. organizations. Before committing to a project, we discuss collaboration hours, data location, procurement, security requirements, and any on-site expectations. We confirm what is feasible for your organization during scoping.
- Identify decision-makers and the people who will use the system
- Review data access, location, and customer-specific controls
- Agree on communication, approvals, and delivery milestones
- Define who will operate and improve the system after launch
Selected work · Digital lending
One example of a system put to work.
In a lending engagement, we helped connect applications, decisions, contracts, customer journeys, and data in a digital platform.
Explore the case study250,000+ applications processed$40M in loan requests assessed
Common questions
What to know before we start.
Are you tied to one cloud or AI model provider?
No. We design around your existing environment and evaluate suitable cloud and model options for the use case. The final choice depends on your requirements for quality, security, cost, latency, and operations.
Can you work in specialized industries?
Yes. For example, insurance work may involve document intake, knowledge access, and decisions that need human review. We scope the data, controls, and regulatory requirements of each engagement before selecting an implementation.
Where is Ai Applied based?
Ai Applied is based in Canada. We discuss the delivery arrangement, collaboration hours, data location, and any on-site needs before agreeing to a U.S. project.
Where should we start?
Tell us the business process or product capability you want to improve and the systems involved. We can recommend an opportunity assessment, focused pilot, or defined build.