Capabilities · Data & AI
Active Directory was designed for human users. The next decade of enterprise identity work is about everything else — service accounts, bots, AI agents, machine identities, and the automation pipelines that depend on all of them. BCG brings the same operational discipline to that work that we bring to forest design and migration.
Most enterprise directories grew up assuming a roughly stable population of human users and a manageable handful of service accounts. AI agents, automation systems, and machine workloads are changing both numbers by an order of magnitude.
The identity types that proliferate fastest in modern environments — bot identities, agent identities, application identities, scheduled-task identities, workload identities — are exactly the ones that traditional governance models handle worst. Owners are unclear, lifecycle is uncontrolled, privileged access is poorly tracked, and the audit story rarely survives external review.
BCG approaches these the same way we approach human-user governance: discovery first, ownership next, lifecycle controls third, automation last. The order matters. Tools without governance create faster mess; governance without tools becomes a slide deck.
Four sub-capabilities, each built on the same operational discipline BCG brings to forest design and migration.
Discovery, classification, ownership attribution, and lifecycle controls for service accounts, application identities, scheduled-task identities, and the rapidly-growing population of bot and AI-agent identities. The same playbook BCG applies to user-object hygiene, focused on the identity types that proliferate without supervision.
PowerShell automation, migration tooling, large-scale reporting, and bulk remediation scripts accelerated by AI-assisted code generation. Built with Anthropic, Claude Code, Factory.ai, and GitHub Copilot inside version-controlled GitHub repositories and pipelines. Bespoke scripting that used to take weeks now ships in days.
CyberArk and similar vault integration for non-human privileged credentials. JIT/JEA workflow patterns adapted to AI agent and automation use cases. Audit trails that survive an external review and access reviews that scale beyond spreadsheet-driven attestations.
Compliance frameworks, ownership attribution, and operational documentation for the identity layer of AI and automation systems — so the auditors asking "what AI agents have access to what, and who approved it" get clear answers rather than handwaving.
How we build it
Anthropic · Claude Code · Factory.ai · GitHub Copilot · GitHub Repositories · GitHub Pipelines · PowerShell · Quest tooling (ARS, GPOAdmin, RMAD) · CyberArk · Azure AD · M365
Bring this to your environment
If your environment is filling up with AI agents, automation pipelines, and machine identities — and the governance model has not kept up — that is the conversation BCG is built for.