Datasirius TI
New · Corporate AI with Microsoft 365 Copilot

Agentization 365

Internal AI agents per process, with Microsoft 365 Copilot.

Move from "we want AI" to "we have internal agents solving real processes". We deploy AI agents per business process — with corporate context, governance, compliance (LGPD) and predictable cost per seat.

AI doesn't fix a bad process. It reveals the bad process faster.

Our job is to turn that revelation into a better process, a useful agent and measurable results.

The Proposal

Agents per process — not "generic AI"

It runs in the Teams and Office your team already uses — nothing new to install or learn.

Real process

Each agent is born from a high-volume, repetitive process — not a loose chatbot.

Corporate context

The agent answers based on company data (Microsoft 365, SharePoint, databases, systems).

Governance and LGPD

Permissions, compliance and a human in control from the design stage.

The Method

A.G.E.N.T.E. — six phases to deploy with method

A

Assess processes

Where there is repetition, rework and tasks that drain the team.

G

Generate opportunities

Prioritize where AI delivers real value, avoiding the generic.

E

Structure knowledge

Organize sources and permissions.

N

Normalize flows

Inputs, outputs, limits and what requires human review.

T

Train agents

Configure, create prompts, test and validate security.

E

Evolve with metrics

Measure ROI, adjust and expand the agent pipeline.

How the agent "understands" the company

Corporate context via connectors

The differentiator is not "having Copilot"; it is giving Copilot the company context — always respecting identity and permissions.

Microsoft 365

SharePoint, OneDrive, Teams, Outlook and Exchange.

Native · included

Entra ID / AD

Identity layer and each user's permissions.

Included

File server

On-prem file share securely indexed.

Sync connector · included

Market systems

ServiceNow, Salesforce, Jira, Confluence and more.

Ready connectors

Own database / ERP

Custom connector for your own system.

Project
Where to apply

An agent for every critical process

See some examples of processes where AI agents bring immediate impact. These are just a few cases — not limited to them. Each organization has unique opportunities that we will explore together during the diagnostic.

IT / Support

N1 support tickets · SLA · knowledge base

HR

Policies · onboarding · benefits · interviews

Finance

Contracts · billing · due dates

Sales

Proposals · objections · follow-up · quotes

Administrative

Procedures · documents · purchasing

Leadership

Indicators · meetings · executive summary

Trust

Governance, security and LGPD from the design

Permission before convenience

The agent respects environment and user permissions.

LGPD compliance

Legal basis, classification and data protection for any information.

Human in control

AI supports, summarizes and structures. The responsible person decides and acts.

Cost under control

License per seat, no surprises on the bill.

Why Datasirius

Who deploys — and sustains — your project

Microsoft under one roof

Your Microsoft partner: licensing and operation under the same roof.

In-house technical team

Development, connectors and security all internal.

A.G.E.N.T.E. method

Process, governance and LGPD from the design — not improvisation.

Customer zero

We use the agents internally before bringing them to market.

Next steps

Start with minimal risk

1

Assessment

Map processes, sources and opportunities.

2

PoC — Proof of Concept

1 agent + 1 connector + dashboard, with acceptance criteria and team training.

3

Pipeline

New agents per process, based on evidence.

✅ Start with the Assessment: small scope, fast value, creditable toward the PoC.

Ready to have agents solving real processes?

Talk to our specialists and discover, through the assessment, where AI delivers real value in your operation — with cost and data under control.

Chat with us on WhatsApp