Work Smarter.
Scale Faster.
We integrate AI and automation into your business so your team spends time on work that matters — not work that machines can do better, faster, and cheaper.
Pragmatic AI.
Real business results.
Most AI projects fail not because the technology doesn't work, but because the business problem was not well-defined. We start with your workflow, your data, and your success metric — not the latest model.
We build practical systems: LLM integrations that work in production, automation pipelines that handle edge cases gracefully, and AI features your customers actually use. Measurable ROI, not demos that impress but don't ship.
AI that integrates.
Automation that scales.
LLM Integration & Prompt Engineering
GPT-4, Claude, Gemini, and open-source models integrated into your product workflows with carefully engineered prompts that deliver consistent, reliable output.
Workflow Automation
End-to-end process automation connecting your existing tools — CRM, ERP, communication platforms, and data sources — into seamless automated pipelines.
RAG Systems & Knowledge Bases
Retrieval-Augmented Generation systems that let AI answer questions using your proprietary data — documents, databases, and internal knowledge.
AI-Powered Product Features
Intelligent search, smart categorisation, content generation, anomaly detection, and recommendation engines embedded directly into your product.
Custom AI Chatbots & Agents
Conversational AI that handles customer queries, internal support requests, or complex multi-step tasks autonomously — with clear human escalation paths.
Data Pipelines & ETL
Automated data ingestion, transformation, and loading pipelines that keep your AI models and dashboards running on fresh, clean data.
Understand the problem.
Then apply AI.
Process Assessment
We map your current workflows, identify automation opportunities, and rank them by ROI. Not every process should be automated — we help you pick the right ones.
Solution Design
Architecture for the automation layer: which AI models, which tools, how data flows, where humans stay in the loop, and how to measure success.
Build & Validate
Iterative builds with regular output evaluation. AI systems require different quality gates than traditional software — we test for accuracy, edge cases, and failure modes.
Monitor & Optimise
Post-launch monitoring of model performance, cost, and quality. AI systems drift — we track that and retrain or re-prompt as needed.
When human hours
are your bottleneck.
Operations Teams Drowning in Manual Work
Data entry, document processing, report generation, routing decisions — repetitive work that your team does every day and AI can handle instead.
Product Teams Adding AI Features
Your users expect AI. We help you add intelligent features — search, recommendations, generation — without building an ML team.
Customer-Facing Teams Scaling Support
Handle 5× the support volume without 5× the headcount. AI handles tier-1 queries; your team focuses on complex cases that need human judgement.
Businesses Sitting on Untapped Data
You have years of data — sales records, customer interactions, operational logs. We help you extract the intelligence locked inside it.
Why teams choose
Codemygig.
We ship, not prototype
We have seen too many AI demos that never make it to production. We build for the real constraints of production: latency, cost, reliability, and edge cases.
Model-agnostic
We work across OpenAI, Anthropic, Google, Mistral, and self-hosted open-source models. We choose the model that fits your budget, data privacy, and performance needs.
Humans stay in control
Every automation we build has clear escalation paths and override mechanisms. Your team retains oversight. AI augments; it does not replace accountability.
Services that pair well.
Got a project
in mind?
Tell us about your idea and we'll help you bring it to life. No fluff, just results.