You ask
You give the instruction from inside Microsoft Teams, with no tool switch — right where your team already works.
Dinami.AI's Custom Agents are specialized AI agents that live inside Microsoft Teams and automate specific workflows — starting with ContractGen for drafting Greek private agreements, with seven more on the way.
37.9838° N · 23.7275° E — AthensMost teams draft agreements by copy-pasting from templates, with errors and wasted time. Custom Agents live inside your Teams and produce ready documents, with mandatory-field validation.
You give the instruction from inside Microsoft Teams, with no tool switch — right where your team already works.
Hybrid logic: deterministic computation for numbers and dates, an LLM for the language — with validation of every mandatory legal field.
Human-in-the-loop: you review and approve. The agent never sends an incomplete document.
It delivers the ready .docx inside the Teams channel, ready to sign.
A native Microsoft Teams bot — zero tool switching. The team works right where it already is.
↗Deterministic computation for identities, amounts and dates; the LLM handles only the language — accuracy where it matters.
↗It checks the mandatory fields and returns the ones that are missing — it never sends an incomplete document.
↗A shared Teams shell: seven more specialized agents are on the way, on the same architecture.
↗| With a general chatbot | With Custom Agents |
|---|---|
| A general chatbot that "hallucinates" fields and amounts | Deterministic computation for identities and numbers |
| Copy-paste from templates, with errors | Mandatory-field validation and approval before delivery |
| Drafting outside Teams — constant tool switching | Native Teams bot delivering the .docx inside the channel |
| One monolithic tool for everything | A fleet of specialized agents on a shared shell |
Illustrative scenario, not a measured client. The real outcome depends on your team's documents and flow.
The agent never sends incomplete documents. If mandatory legal fields are missing, it returns exactly the fields that are missing and asks you to fill them in before it delivers the .docx.
Data stays per conversation, with no leakage to third parties. Every draft goes through human approval with a full history, and we design GDPR-first and around Article 50 of the EU AI Act on AI transparency.
Yes. The architecture is built on a shared Teams shell, so we can build new agents for your own specific tasks instead of a general chatbot.
The roadmap has seven more agents on the same Teams shell — for example contract amendments, employment contracts and due-diligence.
Start with ContractGen for your private agreements, and expand to new agents for your own workflows, on the same Teams shell.
Set up around your own workflows, inside Microsoft 365 / Teams. The first demo is free.