Discover → Prove → Deploy

From AI ideas to working business solutions.

Practical support for businesses, enterprise teams and Business Central partners. Choose the next step that fits your organisation; you do not need to start at the beginning.

Discover

AI Readiness & Enablement

Build a practical plan for AI adoption through workshops, use-case discovery and hands-on training.

  • Discovery workshops and workflow review
  • Data, systems and team readiness assessment
  • Prioritised use cases and adoption roadmap
  • Role-based training, including Codex and Claude Code where relevant

Your outcome
A prioritised opportunity list, a practical adoption plan and a team prepared to get started.

Plan Your AI Adoption

Prove

AI Agent Proof of Concept

Turn one promising idea into a working agent. Test a bounded business process and evaluate the results before production.

  • Defined scope and success criteria
  • Working prototype with agreed data connections
  • Scenario testing and human feedback
  • Demonstration, findings and production-readiness recommendation

Your outcome
A working prototype and evaluation evidence to decide whether to proceed.

Explore an Agent PoC

Deploy

Production AI Agent Implementation

Bring validated AI agents into daily business processes with integrations, security, monitoring and handover.

  • Solution architecture and business-system integration
  • Identity, access controls and appropriate data handling
  • Evaluation, user acceptance and human approvals
  • Controlled deployment, monitoring, documentation and training

Your outcome
An implemented agent with agreed operational controls and clear ownership for support and improvement.

Discuss Production Implementation

Support that fits your next step.

Discover

AI Readiness & Enablement

Understand your processes, your people and the problems worth solving. We assess readiness, prioritise useful opportunities and help your team develop the skills to act.

Best suited to: Businesses, departments and delivery teams looking for direction and practical AI skills.

Plan Your AI Adoption ↗

Prove

AI Agent Proof of Concept

Agree on one use case and measurable success criteria. We build a focused prototype, evaluate representative scenarios and make the limitations clear before recommending the next stage.

Best suited to: Teams with a specific idea or operational problem that want to validate the approach.

Explore an Agent PoC ↗

Deploy

Production AI Agent Implementation

Take a validated use case through architecture, implementation and controlled deployment. We connect the solution to relevant systems, define human review points and agree who will operate and support it.

Best suited to: Organisations ready to integrate a validated agent into a production process.

Discuss Production Implementation ↗

Built around your business

The process comes first.

Our AI solution and agent architecture brings together ERP, Business Central, enterprise integration and EDI experience. Training and readiness are relevant to teams across the business.

Possible PoC scenarios include explaining EDI exceptions, investigating month-end blockers, supporting customer-service workflows or assisting a bounded Business Central development task. These are illustrative engagement possibilities, scoped around your needs.

Copilot Studio, Microsoft Foundry, Power Platform, MCP and APIs are selected where they fit the process and operating requirements.

Discuss Your AI Project

Practical answers

AI Agents and Training: Your Questions

What does Frontier AI Works do?

Frontier AI Works provides AI readiness workshops, practical team training, agent proofs of concept and production implementation. Our focus includes Microsoft Copilot Studio, Microsoft Foundry, Business Central and connected business processes.

How should a business start with AI agents?

Start with one recurring task, an accountable process owner and measurable success criteria. Check the available data and permissions, build a bounded proof of concept, and evaluate representative cases before deciding on production deployment.

Can an AI agent work with Business Central?

A scoped solution can connect to Business Central through approved APIs and integrations. Access permissions, business validation, duplicate handling and human approvals must be designed for the specific process. The integration scope is agreed during discovery.

What is RAG and when is it useful?

Retrieval-augmented generation, or RAG, retrieves relevant information from a knowledge source to help a model answer a question. It can support policy, support and operational knowledge workflows. Source quality, access controls, freshness and answer evaluation still matter.

What is the difference between a proof of concept and production?

A proof of concept tests a defined idea using agreed data and success criteria. Production implementation adds operational requirements such as identity, integrations, monitoring, user acceptance, support ownership and controlled deployment.

What do we need before training or an implementation?

Bring a business problem, a process owner and an understanding of your current systems. Required accounts, licences, approved data access and training environments are confirmed during scoping. Programme dates, fees and final scope are agreed with your team.

Explore RAG concepts · Explore team training · Discuss your project