AI Strategy & Readiness
Assess data, architecture, risks, skills and operating constraints; prioritize use cases by value and feasibility.
Responsible AI built for production
AI Development Services
Turn business knowledge, data and workflows into secure AI assistants, intelligent agents, predictive models and automation—with human oversight and measurable operating value.
Reviewed and updated September 24, 2026
AI development explained
What does FIX Solutions build with AI?
FIX Solutions designs and develops AI capabilities around specific business decisions, knowledge and workflows. We help teams assess readiness, prioritize use cases, prepare trusted data and build solutions such as retrieval-augmented generation assistants, document intelligence, intelligent agents, predictive models, recommendation systems and computer vision applications. Production delivery includes evaluation, security, human review, observability, model and prompt management, integration and ongoing improvement. We do not treat AI as a generic add-on: every implementation defines the users, permitted actions, evidence sources, failure handling and measurable outcomes before automation expands.
AI capabilities
Specialist services across the AI lifecycle
Move from opportunity assessment to production deployment with governance and operations designed in from the start.
Generative AI & RAG
Build grounded assistants that retrieve authorized knowledge, cite sources and operate within defined business boundaries.
AI Agents & Automation
Design supervised agents that coordinate tools, workflows and approvals while preserving human accountability.
Machine Learning
Develop classification, forecasting, anomaly detection, recommendation and optimization models for operational use.
Computer Vision & Document AI
Extract, classify and validate information from images and documents or detect visual events in controlled workflows.
Data Engineering & MLOps
Build data pipelines, model registries, evaluation, deployment, monitoring and retraining processes for dependable operation.
Responsible AI controls
Keep AI useful, explainable and controlled
- Human review for high-impact decisions
- Permission-aware retrieval and data access
- Grounding, citations and response constraints
- Safety testing and adversarial evaluation
- Audit logs, feedback and exception handling
Production quality
Measure more than model accuracy
- Task success and business outcome metrics
- Retrieval relevance and answer groundedness
- Latency, availability and cost monitoring
- Drift, failure and hallucination tracking
- Versioned prompts, models and evaluation sets
AI delivery process
How an AI initiative moves into production
Assess
Define the decision, users, data, risk and expected value.
Prototype
Test feasibility with representative data and evaluation criteria.
Engineer
Build secure pipelines, applications, controls and integrations.
Evaluate
Validate quality, safety, performance and human workflows.
Operate
Monitor outcomes, feedback, cost and model behavior.
AI Development FAQ
Common AI delivery questions
Do we need a large proprietary dataset?
Not always. The required data depends on the use case. RAG can use governed existing knowledge, while predictive models may require representative historical data and clear labels.
Can AI connect to our current systems?
Yes. AI services can integrate with approved APIs, databases, document stores, CRM, ERP and workflow systems using defined permissions and controls.
How do you reduce hallucinations?
We combine grounded retrieval, source citation, clear constraints, evaluation datasets, confidence and exception handling, and human review where risk requires it.
Do you support models after launch?
Yes. Support can include monitoring, evaluation, prompt and model updates, retraining, cost optimization, security review and incident response.
Start with one valuable decision
Turn an AI idea into a controlled production capability
Bring the workflow, knowledge source or decision you want to improve. We will help assess feasibility, value and delivery risk.