AI & Agentic Consulting
Every business has unique processes that generic AI cannot solve. Our consulting team designs bespoke AI agents that understand your data, your workflows, and your industry — then deploys them into production with enterprise-grade governance, security, and observability.
From Strategy to Production in Four Phases
A structured approach that turns AI ambition into measurable business outcomes
AI Maturity Assessment
We evaluate your organisation's AI readiness across five dimensions: data infrastructure, process maturity, talent, governance, and technology stack. The result is a prioritised roadmap of AI agent opportunities ranked by business impact and implementation feasibility.
- Five-dimension maturity scoring
- Data estate audit & quality assessment
- Process automation opportunity mapping
- Prioritised AI agent roadmap with ROI
Agent Design
Our AI architects design the agent's personality, capabilities, data sources, and guardrails. Every agent has a clearly defined scope, escalation path, and human-in-the-loop checkpoint — ensuring autonomous action within safe boundaries.
- Agent persona & capability specification
- Data source mapping & access design
- Guardrail & safety boundary definition
- Human-in-the-loop escalation flows
Development & Training
We build your agents using Microsoft's AI stack — Copilot Studio, Azure AI Services, Azure OpenAI, and custom code where needed. Agents are trained on your organisation's data using retrieval-augmented generation (RAG) for accuracy and relevance.
- Copilot Studio agent development
- Custom RAG pipeline construction
- Azure AI model fine-tuning
- Multi-agent orchestration framework
Deployment & Governance
Agents are deployed into production with full observability — monitoring dashboards, audit trails, and performance metrics. Our governance framework ensures compliance with your data policies and provides the controls needed for responsible AI at scale.
- Production deployment with CI/CD pipelines
- AI observability & monitoring dashboards
- Responsible AI governance framework
- Ongoing model evaluation & drift detection
Our Technology Stack
We build exclusively on Microsoft's enterprise AI platform for security, compliance, and seamless integration
Copilot Studio
Build conversational AI agents that integrate natively with Dynamics 365, Teams, and the Power Platform. Low-code agent creation for business users, with pro-code extensibility for complex scenarios that need custom plugins and connectors.
Azure AI Services
Azure OpenAI, Azure AI Search, Document Intelligence, and Speech Services power the cognitive backbone of your agents. Enterprise-grade security with private endpoints, managed identity, and data residency controls.
Custom RAG Pipelines
Retrieval-augmented generation ensures your agents answer questions using your organisation's actual data — not generic internet knowledge. We build custom indexing pipelines that keep agent knowledge fresh and accurate across SharePoint, Dataverse, SQL, and file shares.
Multi-Agent Orchestration
Complex business processes need multiple specialised agents working together. Our orchestration framework coordinates agent collaboration — a finance agent hands off to a procurement agent, which triggers a supply chain agent — creating end-to-end autonomous workflows.
AI Agent Use Cases We Deliver
Real-world agents running in production for our clients today
Autonomous AP Agent
Reads invoices, matches to POs, resolves exceptions, and posts to the ledger. Handles three-way matching with 98.5% accuracy, escalating only true anomalies to human reviewers.
Deal Intelligence Agent
Analyses CRM data, email sentiment, and meeting transcripts to score deal health in real time. Proactively recommends next-best-action and drafts personalised follow-up communications.
Customer Service Agent
Resolves 60% of tier-1 support tickets autonomously using RAG over your knowledge base. Seamlessly escalates complex cases to human agents with full context and recommended resolution.
Responsible AI by Design
Every agent we build follows Microsoft's Responsible AI principles. Governance is not an afterthought — it is embedded into the design from the first workshop.
- Transparency: Every agent action is logged and explainable — users can always see why a decision was made
- Fairness: Bias testing across demographic dimensions before any agent goes live
- Safety: Content filters, topic blocking, and output validation prevent harmful responses
- Privacy: Data residency controls, role-based access, and PII handling comply with GDPR and UK DPA
- Accountability: Clear human ownership for every agent, with kill-switch capability
Why Pargesoft for AI
We combine deep Microsoft platform expertise with hands-on AI engineering experience that generalist consultancies cannot match.
- Microsoft Data & AI Partner: Certified across Azure AI, Power Platform, and Dynamics 365
- Production Experience: 50+ AI agents deployed and running in production across UK and EU
- Full Stack: Strategy, design, development, deployment, and ongoing optimisation — one team, end to end
- Domain Expertise: Deep knowledge of finance, supply chain, sales, and customer service processes
- Rapid Delivery: First agent prototype in 2 weeks, production deployment in 6-8 weeks