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From concept to a functional AI agent in production

A focused MVP approach: requirements, design, development with Copilot Studio/Azure OpenAI, testing, deployment and knowledge transfer — all in one engagement.

Requirements & Rapid Design

Workshops to define the agent’s domain — HR FAQ bot, IT support assistant, sales helper, etc. Map key questions, data sources and desired personality/tone.

Agent Development
(Copilot Studio)

Build with Power Virtual Agents + Azure OpenAI: structured conversation flows, NLU training, API/database integrations and retrieval-augmented generation for knowledge bases.

Testing & Iteration

Intensive internal testing: dialog simulations, error scenarios, security validation (no data leaks, no unauthorized access), content moderation and user feedback cycles.

Deployment & Publication

Deploy the agent to Microsoft Teams, a web portal or intranet. Configure permissions, directory listing and all necessary access controls for production use.

Admin Training & Handover

Train the client’s team to manage and evolve the bot: add new intents in PVA, review conversation logs, update the knowledge base and request support when needed.

Documentation

Complete agent design documentation: conversation flows, integrations, credentials/security, and maintenance instructions for autonomous operation.

Immediate value from a focused AI agent

Automate up to 60-70% of tier-1 queries in the target domain. Free your team to focus on complex, high-value tasks.

Reduce Manual Workload

Automate up to 60-70% of tier-1 queries in the target domain. Free your team to focus on complex, high-value tasks.
Users get immediate, consistent and accurate answers in natural language — available around the clock, in multiple languages if needed.

24/7 Instant Responses

Users get immediate, consistent and accurate answers in natural language — available around the clock, in multiple languages if needed.
A focused agent serves as a practical proof of concept — demonstrating what's possible and inspiring other departments to explore AI.

Proof of Concept for AI

A focused agent serves as a practical proof of concept — demonstrating what’s possible and inspiring other departments to explore AI.
Controlled scope means manageable risk. The team gains hands-on experience with conversational AI, integrations and AI design.

Low Risk, High Learning

Controlled scope means manageable risk. The team gains hands-on experience with conversational AI, integrations and AI design.
Track resolution rates, user satisfaction and time saved — building a solid business case for expanding AI across the organization.

Measurable Impact

Track resolution rates, user satisfaction and time saved — building a solid business case for expanding AI across the organization.
The same team and technology platform can be extended to build more agents, add new skills or evolve into an advanced multi-agent system.

Foundation for Growth

The same team and technology platform can be extended to build more agents, add new skills or evolve into an advanced multi-agent system.

What you receive

Practical, actionable outputs – not theoretical reports. Everything you need to make informed decisions and move forward with confidence.

Functional AI
Agent in Production

A working agent accessible to end users via Teams, web or other agreed channel — ready to answer questions and execute tasks within the defined scope.

Corporate System
Integrations

Connected to relevant data sources — Dynamics 365, SharePoint, SQL databases, APIs — for contextual, accurate responses grounded in your data.

MVP Results
Report

Development summary with initial performance metrics (response accuracy, escalation rate) and recommendations for future enhancements and scope expansion.

Administrator
Documentation & Training

Admin guide and training session delivered to the client’s team — enabling autonomous management, updates and knowledge base maintenance.

The Arquiconsult advantage

Business domain knowledge. Our consultants understand HR, sales, finance and operations processes — resulting in agents that truly fit the user’s reality, not generic chatbots.

Native Microsoft integration. Built on Copilot Studio/PVA + Azure AI with native connectors to SharePoint, Dynamics 365, Azure AD — seamless and secure.

Responsible AI by design. Clear boundaries on what the bot can/cannot answer, content moderation and bias prevention — built in from the start.

Accelerators & templates. Pre-built dialog templates, reusable connectors and Azure OpenAI code snippets — faster development with consistent quality.

Empowerment, not dependency. We train your team to manage and evolve the agent independently — documentation and knowledge transfer ensure long-term autonomy.