Artificial Intelligence Solutions

AI inside the business software you already run

IKRC builds AI into business software: document processing, assistants that answer from your own records, and predictive analytics. We have been implementing production AI since early 2022.

AI implementation services Start a Project

Invoice reviewIllustrative · sample data

Assistant checks

Supplier matches record Matched
Amount matches purchase order Matched
Bank details changed since last invoice Check

Assistant Recommendation prepared

Employee Awaiting employee approval

Then Your existing payment controls

The assistant cannot approve or release a payment.

An assistant's invoice review inside an existing application.

The architecture behind an AI feature

Much of the work on an AI feature is in decisions the demo rarely shows. Which customer records may the assistant see? When it recommends paying an invoice, how does the application record that an authorized person approved those exact payment details? What should the person using it see when the accounting system is unavailable?

New model capabilities need testing against the documents and tasks your team handles, with a clear view of the cost per completed task.

Read the invoice approval example

From Experimentation to Production

Our production AI work began in early 2022. We integrate AI into document processing, customer service workflows and data analysis systems.

Our client AI deployments include work in finance, manufacturing, professional services and technology.

The Right Use Case Matters

Not every problem needs AI, and not every AI solution fits every problem. Like any software project, we start by understanding your actual needs. We evaluate potential AI applications against practical criteria:

Security: Where does data flow? What are the privacy implications?
Cost: What's the total cost of ownership? How do API costs scale?
Legal: What are the IP considerations? How do we handle attribution?
Regulatory: What compliance requirements apply?

Only after answering these questions do we design the solution.

Use-case evaluationIllustrative · sample feature

Proposed feature Assistant-prepared invoice review

Questions to resolve

SecurityWhere would invoice data flow?
CostHow do API costs scale with volume?
LegalWhat IP terms cover the outputs?
RegulatoryWhich compliance requirements apply?

Evaluating one proposed AI feature before design.

Integration boundaryIllustrative · sample design

Application

AI feature Uses tools your application controls

Model service Outside your systems

Recommendation On your review screen

Employee approval Recorded in your application

Your existing payment controls

Payment request

Accounting call times out Outcome unknown: reconcile before any retry

The only route to payment runs through employee approval and your existing payment controls.

Integration & Ongoing Evolution

Models, prices and APIs change often enough that an AI feature needs scheduled review after launch. A feature built today may need significant updates within a year as better options become available.

We also maintain the AI features we build. Where a client engages us for ongoing support, it includes:

Monitoring model performance and accuracy over time
Evaluating new models and capabilities as they release
Optimizing costs as pricing structures change
Updating integrations when APIs evolve
Reviewing compliance requirements as regulations develop

Without this work, an integration drifts behind the models and APIs it depends on.

Capabilities

AI applications

Examples of AI features we can build into business software.

Document Intelligence

We extract and classify information from invoices, contracts and legal filings. Our client work includes legal document analysis. Customers have achieved reductions of more than 80% in manual review.

Invoice & contract processing
Legal document analysis
Potential application: medical record classification

Intelligent Assistants

AI assistants for customer service and internal knowledge bases that answer from your own records and call your systems only through permission-checked tools.

Predictive Analytics

Machine learning models that forecast demand, identify risks, detect anomalies, and surface insights from your data.

AI
by the Numbers

2022

year our production AI work began

50+

AI integrations delivered into customer production

12+

industries in our AI work

Discuss Your AI Project

Talk to our website from your AI

This site exposes a Model Context Protocol (MCP) server. Connect it to Claude, ChatGPT or any MCP-capable client to read and search our service pages and articles, or to send us an inquiry. In supported browsers, our pages also register WebMCP tools for in-browser AI agents.

{
  "mcpServers": {
    "ikrc": {
      "type": "http",
      "url": "https://www.ikrc.co/mcp"
    }
  }
}

Contact IKRC

Your next software project.

Discuss a project 646 783 1441