AI agent development
Give teams a way to ask better questions of their business. We design agents that use approved knowledge and system context to investigate issues, recommend next steps, and support human decisions.
Independent Microsoft Power Platform consultancy
Build a more intelligent enterprise.
We design AI agents, automations, and Power Platform applications that understand your systems and improve how work gets done.
AI and automation for Microsoft Power Platform
From request to build planIllustrative workflow
Business request
“Add finance review to purchase requests above $25,000.”
Proposed changes
DataApproval threshold · reviewer role
ProcessFinance approval flow
InterfaceRequest status in Power Apps
Human review before deployment
Working across
AI Agents/Power Automate/Power Apps/Dataverse/Dynamics 365
01 / What we do
Work that connects thinking to execution.
We combine deep Microsoft platform work with practical AI. Every engagement starts with your processes, your data, and the systems already in place.
Process automation
Reduce handoffs and repetitive work with automations designed around the way your organization actually operates, including approvals, integrations, exception handling, and monitoring.
Power Apps development
Build useful applications on a sound foundation. We work across app design, Dataverse models, permissions, and connected workflows to make the next enhancement easier than the last.
The idea behind our work
Your systems already contain the knowledge. We make it useful.
Business logic lives in apps, flows, data, documents, and the people who maintain them. We bring that context together so teams can understand an environment, make better changes, and automate with confidence.
02 / Our approach
From system knowledge to working software.
A repeatable method for custom engagements, supported by a reusable knowledge and agent framework under development.
01
Understand the environment
Map the existing apps, data, workflows, dependencies, documentation, and business rules.
02
Organize the knowledge
Create a useful view of how the system works so an agent and the people using it have reliable context.
03
Design the change
Translate an enhancement request into affected components, implementation options, and risks.
04
Build, review, deploy
Use AI to assist analysis and development; engineers validate security, behavior, and deployment.
Each solution is scoped to the client's environment. Agent outputs are reviewed before changes are deployed.
03 / In practice
How an agent could assist teams working in Power Platform.
Use cases
Illustrative interfaceNot a live product demo
LULUTECH / SYSTEM INTELLIGENCE
Team member asks
Why did the customer escalation cloud flow fail yesterday?
Agent analysis / example
The investigation could compare flow runs, connection references, and related records to isolate likely causes.
- Find failed executions and their shared error patterns
- Trace affected steps to configuration and data dependencies
- Recommend a fix for an engineer to validate
Sources: flow history / Dataverse / environment documentation
Team member asks
Add an equipment request process to our existing app.
Agent analysis / example
The agent could assess the existing Power App, prepare an implementation plan, and generate components for an engineer to review, test, and deploy.
- Identify relevant tables, screens, security roles, and dependencies
- Draft a manager approval workflow and fulfillment stages
- Generate app components, cloud flows, and configuration for developer review
Sources: application map / business rules / solution inventory
Team member asks
How will the upcoming Microsoft release wave affect our current environment?
Agent analysis / example
The agent could survey the system inventory, documentation, and Microsoft release plans to identify relevant changes and recommend next steps.
- Flag deprecated features and approaching end-of-support dates
- Identify affected apps, cloud flows, integrations, and dependencies
- Recommend testing, remediation, and adoption priorities
Sources: Microsoft release plans / system inventory / knowledge base
04 / About LuluTech
Small by design. Serious about systems.
Understand first
We study the real process and the existing architecture before proposing another tool.
Build on what works
We use the Microsoft investments you already have and make them more useful together.
Keep people in control
AI can speed up investigation and delivery. People own decisions, validation, and deployment.
Make knowledge reusable
Documenting how systems work should make future support and enhancements easier.
05 / Start a conversation
Tell us what you're trying to solve.
Whether you have a specific application in mind or a process that needs a better approach, we'd like to hear about it.
contact@lulutechglobal.com ↗