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Mitra Integrasi Informatika

Enterprise Microsoft delivery

MII makes complex operations easier. Turn Microsoft into business progress.

MII connects your whole Microsoft estate, from Microsoft 365 through Azure and Dynamics 365, to the work that matters: reducing manual effort, making decisions from trusted context, and moving AI from pilot to governed production.

The technology foundationMicrosoft partner standing
  1. M365 & Security01

    • Microsoft Teams
    • Microsoft 365
    • Microsoft 365 Copilot
    • Microsoft Defender
    • Microsoft Purview
    • +4 more
  2. Cloud Infra, Data & AI Platform02

    • Microsoft Fabric
    • Microsoft Foundry
    • Azure OpenAI Service
    • Azure Kubernetes Service
    • Azure AI Search
    • +7 more
  3. Business Applications03

    • Power Platform
    • Power BI
    • Copilot Studio
    • Power Automate
    • Power Apps
    • +1 more

Why enterprise teams can trust the work

Review the corporate record
  • 30Years in Indonesian enterprise IT
  • 8xMicrosoft Partner of the Year
  • 425+Certified consultants
  • 100+Enterprise customers served
  • 5Microsoft Solutions Partner designations
  • 270+Microsoft certifications held
  • 3ISO certifications
  • Metrodata (MTDL)Listed parent group

Where the capability sits

Three practices connected to the outcomes you own

Each practice gives your problem a clear home, while one team keeps the work connected from licensing and architecture through adoption and operation.

  1. 01Capabilities that move the work

    M365 & Security

    Give people one productive, controlled way to work

    • M365
    • Security
    • Copilot & Adoption
  2. 02Capabilities that move the work

    Cloud Infra, Data & AI Platform

    Build a foundation for reliable decisions and AI

    • Data Analytics
    • AI Apps
    • Infrastructure & Apps Modernization
  3. 03Capabilities that move the work

    Business Applications

    Turn manual processes into governed business applications

    • Low Code Applications
    • Process Automation
    • Business Intelligence
    • +1 more

Where operations lose value

Find the operational cost hiding in the workflow

The symptoms look different across industries, but the business cost is familiar: delayed decisions, wasted capacity, avoidable risk, and systems that cannot keep up.

  1. 01AI

    AI that never reaches the operation

    You have run several AI proofs of concept, each demonstrated well, but none is serving real users inside a live business process.

    Business consequence

    AI investment with no return in production.

    The investment remains a cost rather than a return, and the teams who built the pilots lose confidence that anything will reach production.

    1. AI proofs of concept
    2. Integration friction
    3. Investment without return
    See how we move AI into production
  2. 02Copilot Studio

    Decisions that always wait for a person

    Every request stops on someone's desk for review, and the queue grows whenever that person is away or pulled into higher-value work.

    Business consequence

    Expert time consumed by routine approvals.

    Turnaround stretches, customers wait without an answer, and senior staff spend scarce attention on routine approvals instead of judgement that needs their experience.

    1. Requests arrive
    2. One approval desk
    3. Expert time consumed
    Explore intelligent workflows
  3. 03Data

    Data you hold but cannot yet use

    Your data sits across many systems, yet two reports on the same question return different numbers and nobody can say which one the business should trust.

    Business consequence

    Decisions slowed by figures that disagree.

    Meetings become debates about figures instead of decisions, and every AI plan waits because the information foundation is not dependable.

    1. Separate data sources
    2. Figures disagree
    3. Decisions wait
    Build a trusted data layer
  4. 04Security and control

    Security you cannot prove

    An auditor or customer asks for evidence of your controls, and your team spends days assembling screenshots from separate tools.

    Business consequence

    Effort spent proving controls that already work.

    Audits and tenders drag on, unseen risks stay open, and the security team works reactively without a shared view of the estate.

    1. Controls already in place
    2. Evidence scattered
    3. Audits drag on
    See how we make controls provable
  5. 05Azure Infra

    Infrastructure that has aged out

    Core systems run on hardware past its support window, and every small change is scheduled for a weekend because nobody wants to disturb operations.

    Business consequence

    Maintenance rises while business change slows.

    Maintenance costs keep climbing, downtime becomes a real risk, and new business plans stall because the foundation cannot carry them.

    1. Core systems run
    2. Foundation out of support
    3. Change stalls
    Modernise the foundation
  6. 06M365

    A workplace full of friction

    Your people move between email, chat, and several apps to finish one task, while the newest document often lives in someone's attachment.

    Business consequence

    Productive time lost between disconnected tools.

    Productive time is lost to searching, decisions use the wrong version, and new joiners take too long to contribute with confidence.

    1. One task
    2. Hops between tools
    3. Productive time lost
    Connect the work

Choose the result

What outcome do you need to move?

Choose the result you are accountable for. We will connect it to the solutions and Microsoft practice that can support the work.

Business outcome

M365 & Security

Give people one productive, controlled way to work

3 capabilities

  • M365

    M365

    One connected place of work, migrated and permissioned properly.

    Microsoft 365
  • Security and control

    Security

    Security, governance, compliance, risk management, and security operations run as one control model rather than seven separate consoles.

    Microsoft Defender
  • CopilotM365

    Copilot & Adoption

    Higher productivity, faster collaboration, and better decisions with Microsoft 365 Copilot, at a level of security that holds.

    Microsoft 365 Copilot

Cloud Infra, Data & AI Platform

Build a foundation for reliable decisions and AI

3 capabilities

  • Data

    Data Analytics

    The whole chain: ingestion and ETL, warehouse and lakehouse, semantic model, then the dashboard.

    Microsoft Fabric
  • AICopilot Studio

    AI Apps

    Applications and agents with retrieval, evaluation, and a human handoff designed in.

    Microsoft Foundry
  • Azure Infra

    Infrastructure & Apps Modernization

    Landing zone, migration, and the application work that makes the move worth making.

    Azure Migrate

Business Applications

Turn manual processes into governed business applications

4 capabilities

  • Automation

    Low Code Applications

    Internal applications built around how a team already works.

    Microsoft Power Apps
  • Automation

    Process Automation

    Approvals and handoffs that progress without being chased.

    Microsoft Power Automate
  • Data

    Business Intelligence

    One view of performance, refreshed on schedule and secured by row.

    Microsoft Power BI
  • Automation

    Platform Governance

    Environment policy and lifecycle control set before adoption outruns oversight.

    Microsoft Power Platform

Current programmes

Lower the cost of starting

Licensing and delivery programmes running now across all three practices. Terms are confirmed in writing before anything is ordered.

Delivered work

See what changed in real operations

Read the problem, what was built, the Microsoft services behind it, and the operational change that followed.

  1. 1 of 6
    Mining and Resources

    Tyre predictive maintenance

    a national mining contractor

    Built on

    Microsoft FabricFabric LakehouseFabric Data SciencePower BI

    1. 01Business problem

      Heavy-haul equipment tyres were replaced on a fixed schedule, so failures still happened between services and serviceable tyres were discarded before their useful life ended.
    2. 02What MII built

      A failure-prediction model on Microsoft Fabric brought operating and condition data from the fleet into one analytical estate for maintenance planning.
    3. 03Business change

      Maintenance planning now works from a predicted failure window for each tyre, giving the operation a more useful basis than one fixed interval for the whole fleet.

    Capabilities for this problem

    Data AnalyticsAI AppsBusiness Intelligence

  2. 2 of 6
    Government and Public Sector

    Agentic workflow orchestration

    a government ministry

    Built on

    Microsoft FoundryAzure OpenAI ServiceAzure AI SearchAzure FunctionsAzure AI SpeechAzure Content Understanding

    1. 01Business problem

      Casework moved through several departments by hand, and every additional process added review effort that the same small teams had to absorb.
    2. 02What MII built

      Agentic workflows were delivered across six use cases over three years, with each workflow taking a defined process step from input to outcome.
    3. 03Business change

      Six processes now run as agent-driven workflows rather than manual routing, and the reusable pattern gives the ministry a clearer path for each new use case.

    Capabilities for this problem

    AI AppsProcess Automation

  3. 3 of 6
    Financial Services

    Governance, risk and compliance assistant

    a payments company

    Built on

    Microsoft FoundryAzure OpenAI ServiceAzure AI SearchAzure FunctionsAzure Logic AppsAzure App Service

    1. 01Business problem

      Governance, risk, and compliance reviews of contracts sat in a queue, making the legal team a bottleneck on every commercial agreement.
    2. 02What MII built

      An agentic legal assistant reads each contract against the company's own governance, risk, and compliance positions, then prepares a review draft.
    3. 03Business change

      A contract review that once occupied the legal team for weeks now returns a drafted position within days, giving commercial teams a clearer next step sooner.

    from twenty days to one to three days

    Capabilities for this problem

    AI AppsProcess Automation

    See also

    Lexa

  4. 4 of 6
    Agribusiness and Plantation

    Human resources knowledge assistant

    an agribusiness group

    Built on

    Microsoft FoundryAzure AI SearchAzure Cosmos DBAzure FunctionsMicrosoft Entra ID

    1. 01Business problem

      Policy questions reached the human resources team one at a time, while the right answer depended on documents employees were not equally entitled to see.
    2. 02What MII built

      A human resources assistant with document-level access control draws each answer only from the documents that employee may read.
    3. 03Business change

      Employees get policy answers directly, while the entitlement governing each document continues to govern the answer built from it.

    Capabilities for this problem

    AI AppsM365Security

    See also

    Dolia

  5. 5 of 6
    Consumer Goods

    Knowledge chatbot inside Microsoft Teams

    a fast moving consumer goods company

    Built on

    Microsoft TeamsAzure OpenAI ServiceCopilot StudioPower AutomateAI Builder

    1. 01Business problem

      Staff had to leave the tool they use all day to look something up, and the delay was long enough that many simply asked a colleague.
    2. 02What MII built

      An assistant delivered inside Microsoft Teams lets people ask in the same place where the work is already happening.
    3. 03Business change

      The assistant is available without a context switch, which removes the friction that makes useful support get remembered instead of used.

    Capabilities for this problem

    M365Copilot & AdoptionAI Apps

    See also

    CoWorkDolia

  6. 6 of 6
    Energy and Utilities

    Operations decision agent

    a gas utility

    Built on

    Azure OpenAI ServiceMicrosoft FabricAzure AI Search

    1. 01Business problem

      Operational decisions depended on several systems being read together, with the interpretation changing according to whoever happened to be on shift.
    2. 02What MII built

      An operations decision agent assembles the relevant operating picture and proposes an action, while the operator retains the decision.
    3. 03Business change

      The operating picture is assembled consistently on every shift, so the operator can focus attention on judgement rather than data gathering.

    Capabilities for this problem

    AI AppsData Analytics

    See also

    Sentinel

Where your problem lands

Have an enterprise challenge to solve?

Start with the problem. We will connect you to the practice accountable for that outcome, with the context you have already given.