Services
AI systems built around the business problem.
From workflow automation to custom AI systems, NL Applied AI assembles the technical expertise required to take an idea from requirement through production.
We are not tied to one platform, model, or software ecosystem. The technology is selected around what the project actually needs.
One problem. The right solution. The right specialists.
What We Build
Our work falls into three core service areas. Projects can involve one area or combine several depending on the business requirement.
AI Workflow Automation
Automate repetitive business processes across the systems your organization already uses.
Automate the work between the tools.
AI Knowledge & Document Systems
Turn documents, internal information, and business knowledge into systems people can actually search, use, and act on.
Make business information usable.
Custom AI Agents & Integrations
Add AI capabilities to existing software, products, internal systems, and complex workflows.
Extend what your systems can do.
AI Workflow Automation
Automate repetitive work without rebuilding your entire technology stack.
Many business processes still depend on people manually copying information, monitoring inboxes, updating systems, routing requests, generating reports, or moving data between applications.
NL Applied AI designs workflows that connect existing systems and use automation or AI where it genuinely improves the process.
The objective is not simply to remove manual steps. It is to create a workflow that is clear, reliable, and appropriate for real business use.
Examples of what this could include
Email and inquiry processing
CRM updates and lead routing
Document intake and classification
Data extraction and validation
Approval workflows
Reporting and notifications
Information moving between systems
Customer or internal request routing
Human review and escalation steps
Recurring administrative workflows
Not every workflow needs AI.
If conventional automation is simpler, more reliable, or more cost-effective, that should be part of the solution.
AI Knowledge & Document Systems
Turn information your business already has into something people can actually use.
Businesses often have valuable knowledge scattered across PDFs, manuals, policies, databases, shared drives, support documents, internal guides, and other sources.
We can help structure that information into AI-enabled systems designed to search, retrieve, classify, summarize, extract, or work with approved business content.
Depending on the use case, this may include retrieval-augmented generation, commonly called RAG, which allows an AI system to retrieve relevant information from approved sources before generating a response.
The goal is source-grounded usefulness, not an AI that simply guesses.
Examples of what this could include
Internal company knowledge assistants
Document search and question answering
Policy and procedure assistants
Document classification
Information extraction
Structured document processing
Research and reference systems
Knowledge retrieval for support teams
Source-grounded internal chat systems
Document-heavy operational workflows
Appropriate access and source control matter.
Knowledge systems should be designed around the information users are actually permitted to access and the requirements of the specific project.
Custom AI Agents & Integrations
Add AI where off-the-shelf tools stop being enough.
Some projects require more than a standard automation workflow. A business may need AI embedded into an existing application, connected to internal systems through APIs, or designed to carry out a defined multi-step task.
NL Applied AI can assemble the engineering expertise required for custom integrations and AI-enabled systems that fit into the technology your organization already uses.
These projects may combine AI engineering, automation, API development, data work, custom software, and independent testing.
Examples of what this could include
AI agents for defined business tasks
AI features inside existing software
Custom API integrations
CRM and SaaS integrations
AI-assisted internal tools
Multi-step agent workflows
Structured AI outputs connected to
business systems
Human-in-the-loop AI workflows
Custom orchestration between AI and
existing applications
Specialized internal AI utilities
Custom does not mean unnecessarily complicated.
The architecture should be only as complex as the business requirement actually demands.
More than a build.
Depending on the engagement, projects can draw from a broader set of technical and delivery capabilities.
Solution Architecture
Translating business requirements into a technical design and implementation plan.
AI / LLM Engineering
Model-driven functionality, agents, retrieval systems, structured outputs, and AI logic.
Workflow Automation
Connecting systems and reducing repetitive operational work.
API & Custom Development
Building custom connections and functionality when standard integrations are not enough.
Data & Retrieval Systems
Preparing the information and data pipelines AI systems depend on.
Independent QA & Evaluation
Reviewing functionality, failures, edge cases, outputs, and agreed project requirements.
Security Review
Bringing in additional specialist review where access, sensitive information, or implementation risk requires it.
Documentation
Creating clear handoff materials and operational documentation for the finished system.
Ongoing Technical Support
Monitoring, troubleshooting, maintaining, and improving systems after launch where required.
Technology should earn its place.
We do not add AI simply because AI is fashionable.
Some problems are better solved with conventional automation. Others need custom software. Some may not justify automation at all.
Our job is to understand the requirement first and recommend an approach that makes practical sense.
We also do not promise perfect AI accuracy, autonomous decision-making without appropriate controls, or outcomes that the underlying technology cannot responsibly guarantee.
The business problem comes first. The technology comes second.
One project. One managed delivery process.
Although the technical team may change depending on the project, the delivery process remains structured.
01 -
Discover
Understand the business requirement.
02 -
Architect
Define the technical approach.
03 -
Build
Assemble the specialists and implement.
04 -
Test
Independently evaluate the finished system where appropriate.
05 -
Deploy
Prepare the system for real use and handoff.
06 -
Manage
Continue supporting the system where needed.
Production does not end at launch.
AI systems, APIs, integrations, and business processes change over time.
For clients who need continued technical ownership, NL Applied AI can provide ongoing support after implementation.
Depending on the system, that may include monitoring, troubleshooting, workflow maintenance, model or API changes, minor improvements, regression testing, and continued technical support.
Ongoing support is scoped according to the system and the client's operational requirements.
You do not need to choose the service first.
Start with the business problem.
Tell us what is taking too much time, where information gets stuck, what process is difficult to scale, or what you wish your existing systems could do.
We will help determine whether the opportunity is a fit for AI, automation, custom integration, or a combination of approaches.
Building something worth putting into production?
NL Applied AI is currently accepting a limited number of Founding Client engagements at introductory project pricing while we establish our company portfolio.
Founding Client availability is limited.
Have a project in mind?
You bring us the problem. We will help determine what should be built.
Start with a complimentary feasibility review and tell us what your business is trying to accomplish.
Canadian-Led • One Accountable Team • Clear Scope • Specialist Delivery • Independently Tested • Production-Ready • Ongoing Support
Canadian-Led • One Accountable Team • Clear Scope • Specialist Delivery • Independently Tested • Production-Ready • Ongoing Support