Secure AI Integration (Microsoft Copilot)
Your staff will use AI.The only question is whether it happens somewhere you control, or in a personal ChatGPT account with a client's return pasted into it.
Microsoft Copilot deployed inside your own tenant. Client data stays walled off and is never used to train public models.
Every prompt and response is processed within your Microsoft 365 boundary under your existing data-residency and retention policies. No content is retained by the model provider or exposed to third-party inference: the same commercial data protections that govern your email and files govern the AI.
You receiveA tenant-scoped Copilot deployment, verified model-training opt-outs, and a written summary of exactly where your data can and cannot travel.
Automated guardrails that stop sensitive information (SSNs, financials, client identifiers) from leaving your environment through staff or AI.
Sensitivity labels and content-inspection policies classify documents automatically and block prohibited egress at the moment it is attempted, rather than surfacing it in a later audit. Every policy violation is logged and routed to your designated compliance lead.
You receiveA sensitivity-label taxonomy built around your document types, an enforced DLP policy set, and monthly violation reporting.
Copilot configured and your team trained, so routine analysis, document review, and email triage take less of the day.
We map your highest-friction tasks to vetted Copilot workflows and codify them into reusable, governed prompt templates, so the firm gets one reliable method instead of forty improvised ones. Adoption is measured against baseline, making the time savings demonstrable rather than assumed.
You receiveA firm prompt library, live staff training sessions, and quarterly adoption reporting against your pre-AI baseline.
A dated record of what AI was used for and by whom, the answer to the question a peer reviewer or insurer will eventually ask.
Audit logging captures Copilot activity across the tenant, retained under your policy and reviewable on demand. When a client, regulator, or carrier asks how AI touches their data, you answer from a record instead of a recollection.
You receiveStanding audit-log configuration, a quarterly usage summary, and a client-facing AI usage statement you can hand out when asked.