SERVICE 03 · AI AGENT

Copilot-Based AI Agent Solutions

We turn users' business requirements into AI Agents that actually work.
We design and build Copilot Studio-based AI Agents around your specific business needs. A POC validates the expected impact and scope, and hands-on co-development plus real-user testing complete a business Agent ready for the field to use and scale on its own.

We turn business requirements into AI Agents that actually work. A 30-day pilot confirms impact first.

Tools
Microsoft Copilot Studio · ERP MCP integration
Validation
30-day pilot — measure per-item cost and impact first
Principle
AI checks and proposes, people judge and approve
Scaling
Hands-on co-development to transfer internal capability
WHY COPILOT STUDIO

Built by the people who know the business, governed by IT

An agent platform built without code, usable right away in Teams and Outlook. No need to train users on a new portal — the agent works inside the touchpoints they already use.

MAKE

Build It

Attach instructions, knowledge, and tools without code to build an agent.

WORK

Run It

Judge based on internal data and act — even reaching systems that have no API.

GOVERN

Govern It

IT manages it under the same identity, permissions, and audit framework as a human account.

InstructionsINSTRUCTIONS

Define role, tone, scope, and prohibitions in natural language

KnowledgeKNOWLEDGE

Respond grounded in SharePoint, Dataverse, Fabric, the web, and external systems

ToolsTOOLS

Connectors, Power Automate flows, MCP servers, custom APIs

SkillsSKILLS

Define repeatable procedures in markdown for reuse

WorkflowsWORKFLOWS

Combine fixed procedures with agent judgment into a single flow

ChannelsCHANNELS

Deploy to Teams, Outlook, the web, KakaoTalk, and other touchpoints

8 CAPABILITIES

8 core development capabilities proven on real implementations

Combining 18 years of ERP implementation experience with the official Microsoft stack, we build from design through channel deployment and system integration.

1

Agent Design

Conversational agent design based on instructions and topics

2

Power Automate Automation

Trigger- and connector-based workflow automation

3

Azure AI Integration

Combining Azure AI services such as Search and Speech

4

Custom MCP Development

Direct integration of external Open APIs via MCP

5

RAG Document Search

Vector-search-based document/case search and summarization

6

Speech Recognition & Analysis

Transcribe recordings to text and locate keywords within them

7

PII De-identification

Automatic masking based on MS Presidio

8

D365 F&O ERP Integration

Real-time ERP data integration via Microsoft-provided MCP

We also rapidly review and apply the latest capabilities — multi-agent orchestration, Computer-Using Agents (automated screen operation), and multi-model choice including Claude.

PROVEN CASES

4 Proven Implementation Cases

All four cases — fully developed — built on a proven standard architecture.

CASE 01 · LEGAL

Smart Law Firm AI Agent

Turning repetitive, time-intensive legal work into an agent
  • Case and statute research (vector search) via a custom MCP integrating the National Law Information Open API
  • Automatic transcription of recordings and keyword location search
  • Automatic evidence analysis/summarization and draft brief generation
  • Automatic PII de-identification · KakaoTalk channel consultation automation
CASE 02 · MARKETING

Marketing News Collection Automation

No-touch automation from keyword collection to publishing
  • Unattended news collection by keyword (Google News RSS → saved to Dataverse)
  • Automatic AI importance classification (High · Medium · Low)
  • Automatic Word report generation
  • Automatic posting to a Teams channel — the entire process completes without human involvement
CASE 03 · ERP

D365 F&O ERP-Integrated Agent

Looking up and registering core ERP work through conversation alone
  • Real-time on-hand inventory lookup by item and warehouse via conversational query
  • Auto-create and register sales orders by taking customer, item, and quantity through conversation (write-back integration)
  • Sales invoice and trial balance lookup by customer and period
  • Built on Microsoft's standard MCP — readily extensible to purchasing and production
CASE 04 · COMPLIANCE

Internal Audit & Compliance AI Monitoring

Analyzing email and Teams conversations together to proactively detect risk signals
  • Centralized collection of Outlook mail and Teams conversations — an initial bulk load plus ongoing real-time collection
  • Automatic risk category classification — information leaks, inappropriate language, sensitive data, conflicts of interest
  • Natural-language RAG search that understands intent, such as "conversations mentioning a competitor last month"
  • Pseudonymization of sensitive data with access control (RBAC) — restored only for legitimate reasons
  • Teams chatbot responses plus a Power BI risk dashboard and anomaly alerts
METHODOLOGY

Three design principles that build in maintainability and scalability

PRINCIPLE 1 · BRAIN

Copilot Studio — the brain that judges

  • Understanding user intent and managing conversation
  • Instruction-based logic branching
  • RAG knowledge search for grounded responses
  • Calling MCP servers (custom + Microsoft) for external and ERP lookups
PRINCIPLE 1 · ENGINE

Power Automate — the engine that executes

  • Executing trigger-based automation flows
  • Connector integration with RSS, Excel, Graph API, and more
  • Handling repetitive tasks such as document generation and publishing
  • Separating Brain and Engine to secure maintainability and scalability
PRINCIPLE 2 · CUSTOM-BUILT MCP

Custom integration tailored to client needs

  • Completed a custom-built MCP for the National Law Information Open API
  • Real-time case and statute integration via a custom MCP
  • Extending external API MCPs to fit client needs
PRINCIPLE 2 · MICROSOFT-PROVIDED MCP

Standard D365 F&O integration

  • Standard actions for on-hand inventory, sales orders, invoices, and trial balance
  • Fully honors ERP data and permission structures as-is
  • Standard-based, so it stays stable across upgrades

PRINCIPLE 3 — Autonomy only where judgment is genuinely needed

Sections where the procedure can be fully defined stay as a workflow (rules) to preserve reproducibility and audit readiness, while an agent node is placed only where inputs vary each time and contextual reasoning is required. High-impact decisions retain human approval.

e.g., Invoice email received → extract document fields → [Agent: compare against PO/goods-receipt data and judge whether to process] → auto-process within tolerance · escalate with rationale if exceeded
GOVERNANCE & START

Agents governed under the same controls as human accounts — start with a 30-day pilot

IDENTITY

Entra Agent ID

Assigns each agent a formal identity to manage permissions, lifecycle, and activity logging.

CONTROL PLANE

Agent 365

An enterprise-wide agent catalog and visibility — preventing ownerless agents.

ACCESS

Conditional Access

Applies conditional access and data loss prevention (DLP) policies for agents.

Cost is based on the volume of work processed, not seats — a pay-as-you-go pilot measures per-item cost first, then we review pack or commitment plans against proven usage.
STAGE 0Prep1 wk

Environment setup

Configure the pilot environment, verify Agent ID and Agent 365 policies plus DLP, and connect pay-as-you-go billing.

STAGE 1Pilot1 wk

Build one lookup-type agent

Deploy to 20–50 people in a target department via Teams, and measure per-item credit consumption and impact.

STAGE 2Expand2 wks

Add one exception-handling agent

Expand into a workflow + agent node structure, while keeping human approval for final execution.

STAGE 3AdoptOngoing

Operational governance

Establish agent catalog operations, owner assignment, and a regular cadence for evaluation, monitoring, and cost review.

Start your first agent with a 30-day pilot

Validate per-item cost and impact with one lookup-type agent, then scale it within a defined control scope.

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