01 · AI Solutions
AI Model Engineering
Deciding what the model must do, what it learns from, and how it will be judged - before any training begins.
Services
AI Solutions
Systems that do the repetitive work: answering, sorting, routing, and reporting.
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- 1Map the task
- 2Connect the data
- 3Train and test
- 4Human approval
- 5Run and report
Software that reads, sorts and answers the way a trained assistant would - handling the repetitive part of a job so your people handle the judgement part. You decide what it may do on its own and what must wait for a person.
- Retrieval-augmented generation over an approved knowledge base, so answers cite your own documents rather than guessing.
- Workflow orchestration with typed tool calls, retries, and an audit record of every action taken.
- Human-in-the-loop approval gates on any consequential step, with role-based permissions.
- Evaluation sets and regression checks run before a model or prompt change is released.
- Deployment options: managed cloud, private cloud, or on your own infrastructure where data residency requires it.
- Large language model (LLM)
- The engine that reads and writes text; it predicts language, it does not look up facts by itself.
- Retrieval-augmented generation (RAG)
- Giving the model your approved documents to answer from, so replies stay grounded.
- Agent
- A model given tools and a task, able to take steps rather than only reply.
- Human in the loop
- A person approves an action before it takes effect.
Explore Each Part of This Service
AI Model EngineeringDeciding what the model must do, what it learns from, and how it will be judged - before any training begins.AI Model TrainingTeaching the model from prepared data, with every run recorded so results can be reproduced.AI Model Testing and EvaluationProving the model works on data it has never seen - including the cases where it must not fail.AI Model DeploymentPutting the model into daily use safely, reversibly, and where your data governance allows.Model Support, Monitoring and UpgradeA model is not finished at launch. Data shifts, needs change, and performance must be watched.
ARRIXAI automationVery High demand
AI workflow automation
Reduce manual work.
Start with: One governed workflow with intake, routing, AI assistance, approval, and reporting.
ARRIXAI assistantsVery High demand
AI customer service assistant
Answer customer questions.
Start with: Public support assistant with knowledge base, escalation path, and contact capture.
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AI sales and lead qualification tool
Qualify leads.
Start with: Lead capture, qualification questions, score, recommended next step, and staff notification.
ARRIXAI knowledge systemsHigh demand
AI knowledge base and enterprise search
Search internal knowledge.
Start with: Secure knowledge assistant over approved documents, FAQs, policies, and internal procedures.
ARRIXDocument automationHigh demand
AI document processing tool
Extract document data.
Start with: Document upload, extraction, review queue, summary, and approval workflow.
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Domain-specific AI assistant
Legal intake.
Start with: Industry-specific assistant with approved knowledge, guided intake, escalation, and safety controls.
ARRIXAI automationVery High demand
Multiagent workflow system
Coordinate departments.
Start with: Two coordinated AI assistants with one workflow, human approval gates, logs, and staff dashboard.
Manual steps removed72%
Faster first reply61%
Records handled automatically84%
These are the areas clients most often ask us to improve. Your project sets its own targets, measured and agreed with you.
Not Sure Which One Fits?
Tell us the problem in your own words and we will point you to the right starting point.