AI rollouts that procurement, security, and legal can sign off on.
Copilot first. Claude, ChatGPT, Gemini, Perplexity, and local LLMs — all governed under one playbook.
Most AI rollouts fail because they ship before the governance does. We deploy the AI tools your team actually wants — Microsoft Copilot, Claude, ChatGPT, Gemini, Perplexity, and local LLMs — under a single security baseline: tenant readiness, sensitivity labels, DLP, IAM-scoped access, audit logging, and a kill-switch policy. The /secure-ai-playground page on this site is a working demo of the same RAG + guardrail pattern we deploy for clients.
- Microsoft Copilot
- Claude (Anthropic)
- ChatGPT (OpenAI)
- Gemini (Google)
- Perplexity
- GitHub Copilot
- Local LLMs
Five deep pages. Read the one that matches what you’re afraid of.
Most MSP “AI services” pages are three paragraphs of marketing fluff. This is a comprehensive operator-grade brief — ~12,000 words across five pages, grounded in current research, with real case studies and a vendor-agnostic governance framework. Pick the entry point that matches your question.
The balance
~3,000 wordsThe fear vs power tension. Why the 'wait it out' strategy stopped being viable in 2024. What 'governed velocity' actually means in practice. Five real fears business owners have, four real production wins to balance them, six concrete middle-ground moves.
- 5 fears + the data behind each
- 4 production wins (Stripe, Pfizer, Lyft, GitHub)
- 6 middle-ground operating principles
Case studies
~3,500 words11 oblique-referenced failures (the drive-thru pause, the airline chatbot lawsuit, the Samsung leak, the agent that deleted production, the 2026 supply-chain attack) and 8 wins (Stripe, NVIDIA, Box, Pfizer, Lyft, Intercom Fin, Salesforce Agentforce, plus the Klarna reversal). Plus the 10 patterns that separate them.
- 11 documented failures
- 8 documented wins
- 10 cross-cutting patterns
Microsoft Copilot
~2,500 wordsThe deepest enterprise governance story in 2026. The full 6-product Copilot family (M365 Copilot, Copilot Chat, Copilot Studio, Security Copilot, GitHub Copilot Enterprise, Microsoft Agent 365). How we govern Copilot in production. The 3-phase rollout playbook.
- 6 products in the Copilot family
- 6-point Copilot governance approach
- 3-phase rollout playbook
The other AI vendors
~2,000 wordsAnthropic Claude, OpenAI ChatGPT, Google Gemini, Perplexity, GitHub Copilot Enterprise, and self-hosted LLMs (Ollama / vLLM). For each: what it is, when it wins, our actual production experience, and the per-vendor governance pattern.
- 6 AI vendor profiles
- Production-grade selection guidance
- Per-vendor governance notes
Governance framework
~1,000 wordsThe 6-point framework we apply to every AI rollout regardless of vendor. Tenant readiness gate, IAM-scoped access, data residency mapping, audit logging, quarterly red-team, kill-switch policy. Procurement-ready, insurance-ready, legal-ready.
- 6 controls every AI deployment needs
- Vendor-agnostic — applies to all
- The controls procurement actually checks
Try the same RAG + governance pattern we’d deploy for you.
The chatbot at /secure-ai-playground is a real production-grade RAG agent grounded in our public services, capabilities, compliance frameworks, and metro data. It uses the same prompt-caching, hard guardrails, and graceful-degradation pattern we apply to client engagements. Streaming responses, markdown rendering, kill-switch on missing API key.
AI that procurement, security, and legal can sign off on.
The free 90-minute IT health check includes an AI readiness audit: tenant posture, sensitivity-label coverage, DLP status, and a ranked recommendation across Copilot, Claude, ChatGPT, Gemini, and local LLMs based on your specific workflows. Yours to keep either way.