Vol. 01 / Issue Nº 23 — Dinami.AI Filed under: Custom Agents · AI agents v1.0 · EN · MMXXVI
Compliance deadlines: e-delivery notes — May 2026 · myDATA e-invoicing — Oct 2026
37.9838° N · 23.7275° E
I. Plate Nº 23 / DA-26 · AI agents product 001 / 006
Product — available

AI agents inside your Teams.

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.

How it works
37.9838° N · 23.7275° E — Athens
Plate Nº 23 / DA-26 FIG. 23 · 1:1

Most 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.

Ideal for
  • Law firms
  • Consulting firms
  • HR teams
  • Accounting offices
  • SMEs on Microsoft 365 / Teams
II. Agent loop · 4 movements 002 / 006
How it works

From the request to the document.

1.

You ask

Plate Nº 06

You give the instruction from inside Microsoft Teams, with no tool switch — right where your team already works.

2.

It drafts

Plate Nº 14

Hybrid logic: deterministic computation for numbers and dates, an LLM for the language — with validation of every mandatory legal field.

3.

You approve

Plate Nº 13

Human-in-the-loop: you review and approve. The agent never sends an incomplete document.

4.

It delivers

Plate Nº 08

It delivers the ready .docx inside the Teams channel, ready to sign.

III. Capabilities matrix · 4 entries 003 / 006
Capabilities

What Custom Agents do.

01TEAMS
Plate Nº 06

Inside Teams

A native Microsoft Teams bot — zero tool switching. The team works right where it already is.

02ACCURACY
Plate Nº 14

Deterministic + LLM logic

Deterministic computation for identities, amounts and dates; the LLM handles only the language — accuracy where it matters.

03VALIDATION
Plate Nº 10

Field validation

It checks the mandatory fields and returns the ones that are missing — it never sends an incomplete document.

04FLEET
Plate Nº 13

Extensible fleet

A shared Teams shell: seven more specialized agents are on the way, on the same architecture.

General chatbot or Custom Agents · comparison 004 / 006
Compare

From a general chatbot to a specialized agent.

With a general chatbotWith Custom Agents
A general chatbot that "hallucinates" fields and amountsDeterministic computation for identities and numbers
Copy-paste from templates, with errorsMandatory-field validation and approval before delivery
Drafting outside Teams — constant tool switchingNative Teams bot delivering the .docx inside the channel
One monolithic tool for everythingA fleet of specialized agents on a shared shell
What changes in practice illustrative
Outcome

Fewer errors in the agreements.

Illustrative example
A team drafting private agreements by copy-pasting from templates
↓ with Custom Agents
ContractGen produces them ready inside Teams, with mandatory-field validation

Illustrative scenario, not a measured client. The real outcome depends on your team's documents and flow.

  • Inside Teams — zero tool switching.
  • Field validation before every document is delivered.
  • Deterministic accuracy on identities, amounts and dates.
  • An extensible fleet — seven more agents on the way.
IV. Frequently asked · 4 entries 005 / 006
FAQ

Before you ask.

What happens if data is missing?

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.

Is it safe for sensitive legal data?

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.

Can I adapt it to my own workflows?

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.

Which other agents are coming?

The roadmap has seven more agents on the same Teams shell — for example contract amendments, employment contracts and due-diligence.

V. Closing plate · correspondence 006 / 006
Get started

Put an agent inside your Teams.

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.

Plate Nº 15 / DA-26 FIG. 15 · 1:1

Start a project.

Pick the problem closest to yours, leave your details — we reply with a plain-language read on whether AI can carry it, and what it would take.

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