Intelligent automation that works 24/7 so your team doesn't have to.
Artificial intelligence has moved from research labs into production operations. Businesses that integrate AI-powered automation into their workflows today are compressing weeks of knowledge-work into minutes — not as a pilot, but as a permanent operational advantage. Techifive builds the production-grade AI systems that make this real.
We integrate large language models — OpenAI GPT-4o, Anthropic Claude, Google Gemini, and open-source models like Llama — into your existing business workflows. Our implementations go beyond basic API wrappers: we design retrieval-augmented generation (RAG) pipelines that ground LLM responses in your proprietary data, build multi-step AI agents that reason and act autonomously, and create evaluation frameworks that measure accuracy so you can trust the outputs.
Use cases span every department: customer support agents that resolve 60% of tickets without human intervention, document processing pipelines that extract and classify information from thousands of PDFs daily, content generation systems that produce on-brand copy at scale, and data analysis agents that surface insights from your databases in plain language. We design for reliability, fallback behaviour, and observability — because AI systems that fail silently are worse than no AI at all.
RAG pipelines retrieve relevant context from your knowledge base before generating responses, dramatically reducing hallucinations and keeping AI outputs factually accurate.
Agents that plan, call tools, verify results, and escalate to humans when confidence is low — not just single-shot prompt completions.
Every AI system we deliver includes an evaluation dataset and automated accuracy scoring pipeline, so you can track performance over time.
We design systems that can swap underlying models as the landscape evolves. You're not locked into any single provider's pricing or capabilities.
Langfuse or LangSmith tracing on every LLM call — latency, cost, token usage, and output quality tracked in real time.
We evaluate your workflows for AI automation potential, estimate ROI, and define success metrics before any engineering begins.
Identify and prepare the knowledge sources, databases, and documents the AI system will reason over.
Rapid prototype with evaluation dataset. We measure accuracy against your baseline before investing in full build.
Robust API layer, error handling, human-in-the-loop escalation, rate limiting, and cost controls.
Continuous accuracy monitoring, A/B testing of prompts and models, and quarterly capability reviews.
Talk to our team. We'll scope your project, answer your questions, and give you an honest assessment — no sales pressure.
Book a Free Consultation