The Problem
Every vendor says AI will transform your business. Few can tell you specifically how, what it will cost, and what can go wrong. You don’t need another AI strategy deck — you need a practitioner who has deployed AI agents in production and can tell you what actually works.
Our Approach
We’re technology-agnostic consultants who happen to have deep expertise with multiple AI platforms. We recommend the right tool for your specific workflow — not the tool we built or the tool we’re certified to sell.
Platform Evaluation
We evaluate and deploy across the major AI agent platforms:
| Platform | Best For | Considerations |
|---|---|---|
| Copilot Studio | Teams-integrated workflows, low-code teams | Microsoft licensing required, limited customization |
| OpenClaw | Multi-channel automation, self-hosted control | Open source, requires infrastructure management |
| Azure AI Agent Service | Azure-native workloads, managed infrastructure | Consumption-based pricing, Azure dependency |
| Custom Agents | Unique workflows, maximum control | Highest development cost, full flexibility |
What We Deploy
Workflow Automation — Email triage, document processing, approval routing, report generation. The mundane work that consumes your team’s time and doesn’t require human judgment.
IT Operations — Automated compliance monitoring, incident response triage, configuration drift detection, patch compliance reporting. AI agents that watch your environment so your team can focus on projects.
Developer Productivity — AI coding agents with governance controls, automated code review, documentation generation, and test scaffolding. Faster development without sacrificing quality or auditability.
Decision Support — Data synthesis, competitive monitoring, policy analysis, and research automation. AI that prepares the briefing so humans can make the decision.
Governance First
Every AI deployment we design includes:
- Audit trails — Every agent action logged separately from human activity
- Human-in-the-loop — Approval workflows for sensitive operations (sending emails, modifying data, external API calls)
- Cost controls — Token budgets, model selection policies, and spend alerts
- Data residency — Control where your data goes and which models can access it
- Access controls — Entra ID integration, conditional access, role-based permissions
Why Big Hat Group
We don’t just advise on AI — we run AI agents in our own operations. Our internal tools use OpenClaw, Claude Code, BHGBrain (our vector memory system), and custom MCP integrations daily. We’ve learned what works, what breaks, and what costs more than expected — and we bring that practitioner experience to every engagement.
Honest recommendations. If Copilot Studio solves your problem, we’ll say so — even though we built expertise in other platforms. The right answer is the one that works for your team, not the one that generates the most consulting hours.
Microsoft stack expertise. AI doesn’t exist in isolation. We understand Entra ID, Intune, Azure, Graph API, and the Microsoft 365 ecosystem deeply — so your AI deployment integrates properly rather than floating as an island.
Production experience. We’ve deployed AI agents that handle real workloads in regulated environments. We know the difference between a demo and a deployment.