One platform. Every model. Full sovereignty. A briefing for the next wave of Deloitte engineers.
Prepared by T&C Collaboration ยท April 2026
Every team picks their own model, their own tool, their own workflow. No standards. No shared context. No institutional learning.
Nobody tracks what data goes where. Sensitive documents uploaded to consumer AI tools. No audit trail. No DLP. No governance.
Leadership has no view into AI usage, spend, or value. No way to measure adoption. No way to enforce policy.
Kindo unifies AI access across your organization with enterprise-grade governance โ deployed on-prem or in your cloud.
Deploy on-prem or in your VPC. No data leaves your environment unless you explicitly allow it. Full audit logging.
Claude, GPT, Llama, Mistral โ swap models with zero code changes. No vendor lock-in. Ever.
DLP policies, token-level audit logging, role-based access, credit usage governance. Built for enterprise from day one.
Admin dashboard tracks every query, every model, every team. Credit usage, policy compliance, adoption metrics โ all in one place.
Four bot types. Your team builds the automation. You own the logic. You're not renting someone else's workflow.
Multi-step orchestration with branching logic and tool calls
Fire on events โ alerts, tickets, messages, webhooks
Run on cadence โ daily reports, weekly audits, compliance checks
Conversational agents with knowledge stores and tool access
One platform. Real integrations. A training program built for your team.