Put intelligence inside the product.Not just in the press release.
Most companies bolt a chatbot onto a homepage and call it an AI strategy. We build AI agents and automation for the work that actually costs you money.
The problem we solve
You’re watching competitors announce AI. You know there’s real value in it for your business. What you don’t have is a clear answer to the only question that matters: where, exactly, would this pay for itself?
That’s the first thing we work out — before a single model is chosen.
What we build
Custom AI agents
Autonomous agents that research, draft, route, reconcile and execute real workflows inside your business.
Chat & voice assistants
Internal copilots and customer-facing assistants trained on your data, your tone, your rules.
Document & data intelligence
Extract, classify and summarise contracts, invoices, claims, reports and unstructured mess at volume.
Workflow automation
The repetitive chain of steps your team does forty times a day, handed to software.
Recommendation & prediction
Personalisation, scoring, forecasting and search that learns.
LLM integration
AI wired into your existing CRM, ERP, helpdesk or product, not bolted beside it.
Four steps. No surprises.
- 01
Find the money.
We audit your workflows and rank candidate use cases by value and feasibility. Some get killed here. That’s a good outcome.
- 02
Prototype in days.
A working proof on your real data within the first two weeks. Not a slide.
- 03
Build with guardrails.
Evaluation sets, fallback behaviour, human-in-the-loop checkpoints, cost ceilings and logging from day one.
- 04
Deploy and measure.
Into production, instrumented, with a number attached — hours saved, cost removed, conversion moved.
Delivered, documented, yours.
- AI opportunity audit
- Ranked use-case roadmap
- Working prototype on your data
- Production agent or integration
- Prompt and evaluation suite
- Guardrails and monitoring
- Cost model and usage dashboard
- Team training
Tech & timeline
- Claude
- OpenAI
- LangChain
- LlamaIndex
- Hugging Face
- Pinecone
- pgvector
- Python
- FastAPI
- AWS
- Google Cloud
- AI Sprint2 weeks
- Production agent4–8 weeks
- Enterprise integration8–16 weeks
Real objections, answered.
No. We architect for data isolation and will put it in writing.
We’ll say so in week one and save you the budget. It happens more than you’d think.
No more than a ceiling you set. We model token and infrastructure costs before you commit, then design to that limit.
Book a free AI audit call.
One 20-minute call, and a straight answer on whether we’re the right studio for it.
Or write to us
hello@coodel.ai