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HappyWired

AI Search and Agents That Fit the Way You Work

Build trusted Microsoft AI experiences around your data, processes and people.

AI is most useful when it helps people find the right information, understand what matters, and take the next step without leaving the flow of work. That rarely starts with a chatbot. It starts with understanding where knowledge lives, how decisions are made, which systems need to be connected, and where AI can remove friction without losing control.

The opportunity

AI needs design

Microsoft AI is now woven through Microsoft 365, Dynamics 365, Power Platform and Azure. The real opportunity is to design experiences that are secure, useful and grounded in your data.

  • Trusted data sources

  • Practical workflows

  • Clear user outcomes

  • Controlled AI adoption

AI needs design
The real problem

AI needs context

Most organisations do not have an AI problem first. They have fragmented knowledge, inconsistent processes and data spread across systems. AI exposes those gaps quickly.

  • Documents in too many places

  • CRM knowledge underused

  • Teams work hidden

  • Decisions trapped in spreadsheets

AI needs context
Microsoft Cloud

The platform is connected

Microsoft's AI story is strongest when Microsoft 365, Dynamics 365, Power Platform and Azure work together rather than being treated as separate AI tools.

  • Copilot inside daily work

  • Dynamics 365 business context

  • Copilot Studio agents

  • Azure AI custom builds

The platform is connected

What we help you build

Enterprise Search

Help people find information across Microsoft 365, SharePoint, Teams, Dynamics 365 and approved external sources without creating another knowledge silo.
  • Microsoft 365 search
  • Copilot connectors
  • Permission-aware results

Copilot Agents

Use Microsoft Copilot Studio to create agents that answer questions, guide users, trigger actions and support repeatable work across departments.
  • Internal support agents
  • Customer service journeys
  • Guided business processes

Azure AI Applications

Use Azure AI Foundry and Azure AI Search when your organisation needs more control over grounding, retrieval, orchestration, evaluation and custom AI experiences.
  • Azure AI Foundry
  • Azure AI Search
  • RAG architecture
Azure AI

Build beyond Copilot

Some AI needs more control than a standard Copilot experience can provide. Azure AI Foundry and Azure AI Search help us design grounded, testable applications around your data.

  • Azure AI Foundry

  • Azure AI Search

  • Vector search patterns

  • Retrieval-augmented generation

Build beyond Copilot
Better design

Agents need jobs

A useful agent is not just a conversational interface. It needs a clear purpose, trusted knowledge, safe actions and rules for when a person should take over.

  • Define the task

  • Ground the answers

  • Control the actions

  • Review and improve

Agents need jobs

Not sure where AI should start?

We can help you identify the highest-value AI and search opportunities before you commit to a platform decision.

- Knowledge discovery
- Copilot readiness
- Agent design
- Data and permissions
- Workflow automation

Talk to us

How we design AI search and agents

Start with the work

We look at how people find information, where work slows down, which decisions need support, and where manual effort could be reduced safely. This keeps the conversation focused on business value rather than platform features.

The best AI use cases are usually close to the way the business already works. They improve an existing process, reduce avoidable effort or make important information easier to act on. The starting point is not the most impressive demo. It is the place where better search, better guidance or better automation would make work noticeably easier.

Where AI creates value

Internal Knowledge

Help employees ask questions across policies, procedures, project documents, knowledge bases and approved SharePoint content without guessing where to look.
  • HR and policy support
  • Project knowledge retrieval
  • Process guidance

Customer Service

Support service teams with case summaries, knowledge suggestions, guided responses and agents that handle routine enquiries while escalating the right exceptions.
  • Case summarisation
  • Suggested replies
  • Service agents

Sales and CRM

Use AI to help teams understand accounts, prepare for meetings, review opportunities and act on customer information already held in Dynamics 365.
  • Account summaries
  • Opportunity insight
  • Next-best actions

Process Automation

Connect AI insight to workflow action, such as creating tasks, routing approvals, updating records, generating documents or triggering a Power Automate process.
  • AI-assisted routing
  • Approval workflows
  • Exception handling

Document Intelligence

Extract, classify and use information from documents where manual review slows down onboarding, compliance, service delivery or operational reporting.
  • Contract review
  • Supplier onboarding
  • Evidence capture

Custom AI Apps

Build AI-assisted applications where off-the-shelf Copilot experiences do not provide enough control, integration depth or user experience flexibility.
  • Azure AI Foundry
  • Azure AI Search
  • Custom interfaces
Azure depth

Search is the engine

For custom AI applications, retrieval quality often determines answer quality. Azure AI Search gives us a controlled way to index, rank and retrieve enterprise knowledge.

  • Keyword and semantic search

  • Vector and hybrid retrieval

  • Secure indexed content

  • Grounded AI responses

Search is the engine
Application design

Foundry shapes delivery

Azure AI Foundry gives us a practical environment for building, testing and governing AI applications where the solution needs more control than packaged Copilot.

  • Model and agent development

  • Evaluation and testing

  • Governance controls

  • Enterprise deployment patterns

Foundry shapes delivery
Our approach

Discovery before build

We do not start by asking which AI product you want. We start by asking what needs to work better and what would prove value.

  • Identify business pressure

  • Understand current process

  • Define useful outcomes

  • Prove value early

Discovery before build
Governance

Trust is designed

AI adoption depends on confidence. Users need to understand where answers come from, what the agent can do, and when human judgement is required.

  • Permission-aware access

  • Approved knowledge sources

  • Human approval points

  • Ongoing quality review

Trust is designed
Delivery

Build for adoption

The value comes when AI becomes part of the work. That means designing the experience, testing real scenarios and supporting users after launch.

  • Practical prototypes

  • Real user testing

  • Controlled deployment

  • Continuous improvement

Build for adoption

AI adoption needs business orchestration

AI rarely succeeds as a standalone tool. It needs strategy, process, data, governance and user adoption working together.

How HappyWired helps

Microsoft 365

We help structure content, permissions and collaboration spaces so Copilot and search experiences have a stronger knowledge foundation.
  • SharePoint structure
  • Teams content
  • Information governance

Dynamics 365

We connect AI experiences to customer, sales, service, project and operational data so answers are grounded in business context.
  • Sales insight
  • Service knowledge
  • Customer records

Power Platform

We use Power Apps, Power Automate and Copilot Studio to turn AI assistance into practical workflows and usable business applications.
  • Copilot Studio agents
  • Power Automate flows
  • Dataverse data

Azure AI

We use Azure AI Foundry and Azure AI Search where organisations need more control over retrieval, grounding, indexing, evaluation and application design.
  • Foundry projects
  • Vector search
  • RAG architecture

Licensing Advisory

We help you understand which Microsoft licences and platform choices make sense before AI experiments turn into avoidable long-term cost.
  • Copilot licensing
  • Platform fit
  • Cost control

Customer Success

We support AI and Microsoft Cloud solutions after go-live so they keep improving as users, data, processes and Microsoft capabilities change.
  • Adoption support
  • Quality review
  • Managed improvement

Make AI useful before scaling it

A focused proof of concept can show whether AI search, Copilot agents or Azure AI applications will create real value for your organisation.

- Define the use case
- Select the right platform
- Test with real data
- Review security and access
- Plan the delivery route

Start a conversation
Common questions

AI search and agents FAQs

Practical answers for organisations planning Microsoft AI, Copilot, Azure AI Search and agent-based solutions.

Ready to explore AI search or agents?

Tell us what you are trying to improve. We will help you understand where Microsoft AI can create value, what needs to be in place first, and which delivery route makes sense.