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Humint Labs
Microsoft Partner

Humint Labs® + Microsoft

Humint Labs is a Microsoft partner. We help organisations use the Microsoft cloud for enterprise AI work that has to respect identity, documents, workflow ownership and governance already inside the tenant.

Microsoft

Microsoft partner delivery

Microsoft is often already the enterprise system of work. Identity sits in Microsoft Entra ID, knowledge sits across SharePoint and Teams, service records may sit in Dynamics, and security teams already have a Microsoft control plane. That makes the first engagement question practical: which Microsoft layer should carry the work. Humint Labs helps enterprise teams move from that question to a delivery path. Some work belongs in Microsoft 365 Copilot. Some work belongs in Copilot Studio. Some work needs Microsoft Foundry, Azure AI Search, Azure Document Intelligence, Microsoft Fabric, Azure Functions, Azure Container Apps and a governed integration layer.

Microsoft 365 Copilot, Copilot Studio and Microsoft Foundry, matched to the layer the work actually needs

Grounded enterprise retrieval on Azure AI Search and Azure Document Intelligence

Secure Azure delivery with Microsoft Entra ID, Azure Container Apps and Azure Functions

CAPABILITIES

Microsoft services we deliver around

The service set changes by estate and risk profile. These are the Microsoft services that most often carry production responsibility in our work.

01

Copilot readiness and Microsoft 365 adoption

Permission review, SharePoint exposure, information architecture and adoption planning before Microsoft 365 Copilot licences are rolled out at scale.

02

Copilot Studio agents

Configured agents for Teams, service workflows and internal knowledge tasks where Microsoft identity, documents and collaboration surfaces already hold the work.

03

Microsoft Foundry builds

Custom agents, model selection, tool orchestration and release gates for workloads that need more control than a configured Copilot Studio agent can provide.

04

Grounded enterprise retrieval

Azure AI Search, Azure Document Intelligence and Microsoft Fabric patterns for answers that need source traceability, document handling and inherited access control.

05

Dynamics and service operations

Workflow design and integration patterns for service teams working across Dynamics 365, Microsoft 365 and existing operational systems.

06

Secure Azure delivery

Azure Container Apps, Azure Functions, Microsoft Entra ID, managed identities, observability and environment design for systems that need production controls.

EXECUTIVE CONCERNS

Executive concerns

The concerns that decide whether Microsoft AI reaches production, and how we address each one.

01

Licence spend before readiness

The page one decision is not whether Copilot is useful. It is whether the tenant is clean enough for Copilot to be useful without exposing the wrong material.

02

Too many agent surfaces

Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry agents and custom hosted tools each have a place. The work is to choose the lowest layer that can safely do the job.

03

Governance after launch

The controls need to exist before the assistant is adopted: identity, data boundaries, content handling, evaluation, monitoring and human escalation.

ARCHITECTURE

Copilot to custom build ladder

The request should climb only as far as it needs to. Existing Microsoft surfaces stay useful when their permission and grounding boundaries are clear.

01

Microsoft 365 Copilot

Answers over Microsoft Graph and returns what a person could already open, where the underlying permissions are correct.

02

Copilot Studio agents

Configured agents for Teams, service workflows and internal knowledge tasks where Microsoft identity, documents and collaboration surfaces already hold the work.

03

Microsoft Foundry

Custom agents, model selection, tool orchestration and release gates for workloads that need more control than a configured Copilot Studio agent can provide.

04

Governed custom build

Azure Container Apps, Azure Functions, Microsoft Entra ID and a governed tool layer for systems that need production controls.

USE CASES

Where enterprise teams engage us

01

Government and regulated services

Secure knowledge access, service triage, case preparation and staff support where auditability and access control matter.

02

Financial services and operations

Employee copilots, policy retrieval, customer-service support and operational automation with clear approval and exception paths.

03

Health, energy and field workforces

Procedure lookup, document extraction, handover support and workforce enablement across teams that already collaborate in Microsoft 365.

GOVERNANCE

Governance and security

Microsoft AI delivery is only useful if it inherits the right controls. The assistant, retrieval layer and tool layer need separate permissions, observable behaviour and release checks.

Microsoft Entra ID and tenant permission review before rollout

Microsoft Purview sensitivity labels, retention and data loss prevention alignment

Retrieval patterns that preserve source access rules

Tool permissions separated from assistant prompts

Evaluation suites and release checks before production change

Operational logging, monitoring and support model design

Delivery patterns shaped for ISO 27001, SOC 2, Australian Privacy Principles and APRA CPS 234 expectations

Data residency designed against the jurisdiction that actually binds the workload, including Azure Australia East where that is the requirement

OUTCOMES

Outcomes we design for

01

A clear Microsoft AI ladder

Teams can see when to use Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry or a custom hosted layer.

02

Safer adoption decisions

Executives get a practical view of the tenant controls, data risks and rollout dependencies before licences or build spend scale up.

03

Production-ready implementation

The chosen solution is designed around identity, retrieval, logging, evaluation and handover, not just prompt behaviour.

PROOF AND DETAIL

Microsoft Delivery Evidence

For teams evaluating Microsoft delivery fit, we make the service mapping, product naming and architecture rationale clear, including where configured Copilot capability is enough and where a governed custom build is justified.

01

Microsoft delivery evidence

Detailed service mapping for Microsoft Foundry, Copilot Studio, Azure AI Search, Azure Document Intelligence, Microsoft Entra ID and the wider Microsoft platform, including the Copilot to custom build ladder and the Azure Speech versus Voice Live decision.

02

Copilot or custom agent

Decision framing for when a configured assistant is enough and when a custom agent is justified.

03

One governed toolset

How a shared tool layer helps agents act inside enterprise systems without turning every assistant into its own integration project.

Reference diagram

Microsoft AI delivery ladder

A visual reference for choosing the lowest Microsoft layer that can safely do the work before delivery, governance and operating-model decisions expand.

Scroll diagram horizontally

Four possible answers to one request in a Microsoft estate, from licence to written codeA ladder drawing in four columns, read left to right, with each column carrying three stacked rows. Column one is Microsoft 365 Copilot: it answers over Microsoft Graph, nothing is built, and the estate decides what it can see. It is selected when the answer already sits in SharePoint, Teams or Outlook and the permissions on it are correct. Its cost is a licence and a cleanup, because the work lands in the estate rather than in a build. Column two is a Copilot Studio agent: declared knowledge, topics and tools, either extending Copilot or standing alone on a channel. It is selected when a topic needs a fixed script, or when a tool call has to reach a system of record with a declared contract. Its cost is design and connectors, cheap to change but harder to test as a whole system. Column three is a Foundry prompt agent: model, instructions and tools declared in Microsoft Foundry, with its own endpoint and controls. It is selected when the response has to be screened, evaluated and versioned on its own release cycle. Its cost is a deployment to run, with a release gate, a quota and a named owner. Column four is a hosted agent running its own code, built with the Microsoft Agent Framework on Azure Container Apps or Azure Functions, where orchestration is written rather than configured. It is selected when the task holds state, has a compensating step, or loops in a way no designer will draw the same way twice. Its cost is an application: code, a pipeline, and somebody on call. Arrows run left to right between the columns. A step to the right is taken only when the rung to its left has run out, and the middle row states in each case what running out looks like. A band across the foot of the drawing states what does not change across any of the four: Microsoft Entra ID decides who is asking, Microsoft Purview sensitivity labels decide what may be shown, and the systems of record do not move.One request, four possible answersa step right is taken only when the rung left of it has run out01Microsoft 365 CopilotAnswers over Microsoft Graph.Nothing is built. The estatedecides what it can see.02Copilot Studio agentDeclared knowledge, topics andtools. Extends Copilot, orstands alone on a channel.03Foundry prompt agentModel, instructions and toolsdeclared in Microsoft Foundry.Its own endpoint and controls.04Hosted agent, own codeMicrosoft Agent Framework onContainer Apps or Functions.Orchestration written, not set.What selects the rungSelected whenThe answer already sits inSharePoint, Teams orOutlook, and the permissionson it are correct.Selected whenA topic needs a fixed script,or a tool call has to reach asystem of record with adeclared contract.Selected whenThe response has to bescreened, evaluated andversioned on its own releasecycle.Selected whenThe task holds state, has acompensating step, or loopsin a way no designer willdraw the same way twice.What the rung costs to ownLicence, and a cleanupThe work lands in the estate,not in a build.Design and connectorsCheap to change. Harder totest as a whole system.A deployment to runA release gate, a quota anda named owner.An applicationCode, a pipeline, andsomebody on call.Constant across all fourNone of the four changes any of thisMicrosoft Entra IDDecides who is asking, onevery rungMicrosoft PurviewSensitivity labels decide whatmay be shownSystems of recordDo not move, whichever rungis chosenArchitecture view for discussion. Service names are shown as plain text.
Four rungs, not four products. The question a Microsoft estate asks first is how far up this ladder a request has to climb before a build is justified. A ladder drawing in four columns, read left to right, with each column carrying three stacked rows. Column one is Microsoft 365 Copilot: it answers over Microsoft Graph, nothing is built, and the estate decides what it can see. It is selected when the answer already sits in SharePoint, Teams or Outlook and the permissions on it are correct. Its cost is a licence and a cleanup, because the work lands in the estate rather than in a build. Column two is a Copilot Studio agent: declared knowledge, topics and tools, either extending Copilot or standing alone on a channel. It is selected when a topic needs a fixed script, or when a tool call has to reach a system of record with a declared contract. Its cost is design and connectors, cheap to change but harder to test as a whole system. Column three is a Foundry prompt agent: model, instructions and tools declared in Microsoft Foundry, with its own endpoint and controls. It is selected when the response has to be screened, evaluated and versioned on its own release cycle. Its cost is a deployment to run, with a release gate, a quota and a named owner. Column four is a hosted agent running its own code, built with the Microsoft Agent Framework on Azure Container Apps or Azure Functions, where orchestration is written rather than configured. It is selected when the task holds state, has a compensating step, or loops in a way no designer will draw the same way twice. Its cost is an application: code, a pipeline, and somebody on call. Arrows run left to right between the columns. A step to the right is taken only when the rung to its left has run out, and the middle row states in each case what running out looks like. A band across the foot of the drawing states what does not change across any of the four: Microsoft Entra ID decides who is asking, Microsoft Purview sensitivity labels decide what may be shown, and the systems of record do not move.
FAQ

Frequently Asked Questions

Humint Labs Executive Brief: Generative AI
Executive Brief

Your Guide to Enterprise AI

Generative AI, LLMs, AI Workflows, AI Agents & Agentic AI: a practical guide for executives navigating enterprise AI adoption.

Read the Guide
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A change to a prompt, a retriever or a base model can quietly break an answer that used to be correct. We stopped checking that by hand.

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