By role
Sales Proposals, customer profiles, everything before the close Marketing Content, campaigns, ad ops, and performance HR Recruiting, onboarding, attendance, and admin Research Research synthesis, decision support, report publishing Customer Support Instant replies across channels, feedback trends Finance Expenses, budgets, financial insight Engineering Cross-system triage, codebase guidance Legal Contract review, document checks Data Self-serve queries, impact analysis, reports Operations Internal processes, announcements, automated reportingBy industry
Media Ad, content, and event operations Community Platforms Ad monetization and content operations Manufacturing Production-line and supply-chain operations Financial Services Controllable AI under heavy regulation Retail & E-commerce Support, content, ads, and operations Professional Services Knowledge work for consultancies and firms All solutions →When financial services adopts AI, the first question is never whether the model is capable enough. It's where the data boundary sits, who can touch what, and whether every step can be traced — so we design all of that in at the architecture level.
Talk to usPermission boundaries, deployment location, and audit records are designed in from the architecture up — capability and compliance stop being a trade-off.
Cross-system queries and data access leave a complete audit log, so who did what, and when, is traceable at any time.
Deploy to your own cloud or on-premise, with permissions mapped to your existing system authorizations — data never has to leave the security boundary you already trust.
When the agent compiles research and client data, it only touches the systems it's authorized for — boundaries between departments and product lines are enforced by permission settings, not by people remembering the rules.
The agent answers queries across multiple internal systems, and every access and every response lands in a complete audit log — who looked up what, and when, is traceable after the fact.
Rollout can start in your own cloud (such as your own GCP project) or on-premise, so data never leaves your existing security boundary. Full deployment and governance details are on our Trust & Security page.
The agent's permissions mirror what each real user is already authorized to do in each system — never a step more. When people or roles change, its access changes with them.
START HERE
We can start with an onboarding workshop — and build your first agent with your team, live in the room.
