Intelligent Automation
Automate categorization, classification, and data processing. We built AI-powered transaction categorization for 10k+ inventory records — automatic, accurate, and auditable.
See automation projects →We integrate AI into production systems for regulated industries. OpenAI, Gemini, and custom LLM solutions — with proper error handling, rate limiting, and compliance. Not proofs of concept. Production-ready AI.
We'll tell you honestly if AI is the right solution for your problem.
Most AI projects fail because teams build solutions for problems that don't exist. We start by asking: Does this actually need AI? Sometimes the answer is no — and we'll tell you that upfront.
Practical AI applications for real business problems.
Automate categorization, classification, and data processing. We built AI-powered transaction categorization for 10k+ inventory records — automatic, accurate, and auditable.
See automation projects →Context-aware chatbots that understand your domain. Built with proper guardrails for regulated industries.
Healthcare AI →Semantic search, natural language queries, and intelligent document retrieval. Built on Elasticsearch with AI enhancement.
Search solutions →The difference between a demo and a deployed system.
AI APIs fail. Models hallucinate. Rate limits hit. We build systems that degrade gracefully and recover automatically.
AI API costs can explode. We implement caching, batching, and smart routing to keep your costs predictable.
For regulated industries, AI decisions need audit trails. We log prompts, responses, and confidence scores.
From adding AI features to full AI-powered platforms.
Add AI capabilities to your existing platform
Full platform with AI at the core
Architecture and implementation planning
We're not locked to one vendor. We choose the right tool for your use case.
GPT-4, GPT-4 Turbo, embeddings, and function calling. Best for complex reasoning and structured output.
Gemini Pro and Gemini Flash. Cost-effective for high-volume processing. Production use in AIMS project.
Claude 3 Opus, Sonnet, and Haiku. Best for long-context tasks, analysis, and compliance-heavy applications.
For AIMS inventory management, we integrated Gemini AI to automatically categorize incoming inventory items. The system processes 10k+ records, applying consistent categorization based on product attributes, historical patterns, and business rules.
Simple AI features (chatbots, text generation): $5k-$15k. Document processing/analysis: $15k-$30k. Custom AI workflows with compliance logging: $25k-$50k. Full AI-powered platforms: $40k-$70k. Costs include API integration, prompt engineering, error handling, and rate limiting.
OpenAI (GPT-4, GPT-4o), Anthropic (Claude), Google (Gemini). Model choice depends on use case: GPT-4 for general tasks, Claude for long documents, Gemini for multimodal. We implement fallback strategies when primary models fail or hit rate limits.
Multiple strategies: RAG (Retrieval-Augmented Generation) to ground responses in your data, structured outputs to constrain responses, confidence scoring to flag uncertain answers, and human review workflows for high-stakes decisions. AI is a tool, not a replacement for verification.
Yes. We've built document processing pipelines for PDFs, images, and scanned documents. Use cases: invoice processing, contract analysis, medical record extraction. Accuracy depends on document quality — typically 90-98% with validation workflows.
With proper guardrails, yes. Requirements: audit logging (record all AI interactions), scope limitations (constrain what AI can answer), disclaimers (AI suggestions, not advice), and human review for final decisions. We've built compliant AI systems for healthcare and legal clients.
Book a 30-minute call. We'll assess your use case, discuss feasibility, and determine if AI is the right approach — or if a simpler solution would work better.
Book AI ConsultationPrefer email? office@oktopeak.com