Supply Chain
Business Automation ERP
A catering-management ERP for purchasing, inventory, and automated vendor alerts.
Focused engineering service
AI Agent Development & Automation
AI agent development, RAG systems, and practical workflow automation connected to approved business tools.
Built around the work your users do
MMS Studio develops scoped AI workflows for tasks where language models and automation can support a clear operational outcome. The emphasis is on traceable inputs, approved tools, and a route to human review.
We begin with a bounded workflow and define what the system may read, what it may change, and when it must stop. Retrieval, tool permissions, evaluation, and fallback behavior are treated as product requirements.
Typical deliverables
- Workflow and risk definition
- Retrieval or agent implementation
- Approved tool integrations
- Human-review checkpoints
- Operational monitoring guidance
AI agent development services
An AI agent is useful when a task needs judgement across several steps: reading a request, choosing an approved tool, and producing a result a person can check. We build agents with a narrow scope, validated tool inputs, separate read and write permissions, and a clear point where a person takes over.
RAG development services
Retrieval-augmented generation (RAG) grounds answers in your own documents instead of the model’s general knowledge. The retrieval layer is designed like a product feature:
- Source permissions, so people only receive answers from documents they are allowed to see.
- Freshness rules for policies, prices, and other content that changes.
- Citations that show which passages shaped each answer.
- Evaluation sets that measure answer quality before and after changes.
Business process automation
Not every workflow needs a language model. Classification, document checks, report assembly, and alerts often work best as conventional automation with an AI step only where it adds value. We recommend the simplest system that meets the outcome.
Relevant technologies
OpenAI APIVector SearchRAGPythonFastAPIWebhooks
Related work
All projectsProjects using similar capabilities
Questions about ai & automation
Do all AI workflows need an autonomous agent?
No. Many useful systems are simpler retrieval, classification, or drafting workflows with explicit approval steps.
Can the system use our private documents?
It can be designed around authorized sources and access boundaries. The exact hosting and retention model depends on your requirements.
What is RAG and when do we need it?
RAG retrieves relevant passages from your own content and gives them to the model with the question. It suits support, policy, and knowledge-base answers where accuracy and citations matter.
How much does AI agent development cost?
Cost depends on the workflow’s scope, the tools the agent can use, the data sources involved, and the evaluation needed. We start with a bounded first workflow and a fixed-scope estimate.
Can you work in US or UK time zones?
Yes. Calls available 9:00–17:00 UK time, which also covers US Eastern mornings. Meetings, reviews, and releases are scheduled inside your working day.
Build with clarity
Ready to discuss your next software product?
Share the problem, current workflow, and the outcome you need. We will help turn it into a practical technical conversation.