Why Kindo

Kindo provides all the cutting-edge AI features — but does it in a way that gives Deloitte full sovereignty, full model flexibility, and full control. This is why we chose it.

Kindo Training Program · Deloitte · April 2026

Full Sovereignty

Your data. Your infrastructure. Your control.

Kindo can run on-prem, self-managed in your cloud, or as a multi-company SaaS fully controlled by Deloitte. No data leaves your environment unless you decide it does.

🏢

On-Premises

Deploy the entire platform — models, governance, audit logs — inside your data center. Air-gapped if needed. Zero external dependencies.

☁️

Self-Managed Cloud

Run in your own VPC. You own the infrastructure, the keys, and the data. Kindo never touches it.

🏛️

Multi-Company SaaS

Fully controlled by Deloitte — provisioned per customer, isolated per engagement, governed by your policies.

🔒

DLP at Every Boundary

PII, credentials, and custom patterns detected and redacted before reaching any model. Per-user, per-model policies.

Kindo Administration and Governance dashboard showing security controls, model access, and DLP policies
Kindo tool policies panel showing integration governance and access controls
AI Agnostic

No lock-in. Ever.

Kindo is AI agnostic. You're not locked into a single model lab. When the landscape shifts — and it will — you switch models without rebuilding anything.

"You don't get stuck when Anthropic gets thrown out of the Department of War. You switch models and keep moving."

🔄

Swap Models Instantly

Claude, GPT, Llama, Mistral, DeepHat — switch mid-conversation. Compare results on the same task. Zero code changes.

💰

Manage Model Costs

Route simple tasks to cheaper models, complex tasks to powerful ones. Per-team credit budgets. Full cost visibility.

🛡️

Compliance & Security Per Model

Different models for different compliance requirements. Restrict sensitive workloads to specific models that meet your security bar.

🧠

Run Your Own Models

Deploy customer-specific or proprietary models alongside commercial ones. Same interface, same governance, same audit trail.

Rapid Experimentation

Action Chat & Action Bots

Kindo is built for rapid experimentation and learning. Action Chat connects to your live tools. Action Bots automate your runbooks. Quick iteration — that's how you build expertise, not by reading slides.

Kindo Terminal showing Action Chat with model picker, integrations bar, and query workspace
Kindo integrations catalog showing 80+ connected services
Kindo Action Bots screen showing workflow, triggered, and chatbot agents
Workflow Action Bot builder with steps, instructions, and knowledge store
Security & Compliance

Enterprise controls that actually work.

The training for Deloitte needs to show the security and compliance controls. This isn't optional — it's what makes Kindo deployable in regulated environments where consumer AI tools can't go.

🔐

Role-Based Access Control

Control who can access which models, integrations, and Action Bots. Per-team, per-role permissions.

📊

Full Audit Logging

Every query, every model call, every Action Bot run — logged in your infrastructure with full traceability.

🛡️

DLP & Data Protection

Automatic PII detection, credential redaction, and custom pattern filtering. Applied before data reaches any model.

📋

Credit & Usage Governance

Per-team budgets, usage dashboards, and policy enforcement. Full visibility into AI spend and adoption metrics.

The Evidence

Deloitte's own research says this is urgent.

Two brand-new Deloitte reports confirm that the problems Kindo solves — AI governance, model lock-in, the skills gap — are the top barriers holding enterprises back.

Deloitte 2025

How to Navigate the Economics of AI

The economic case for AI platforms that give organizations cost control, model flexibility, and governance — rather than locking them into a single vendor's pricing and roadmap.
Deloitte 2026

The State of AI in the Enterprise

Worker access to AI rose 50% in 2025. But the AI skills gap is the #1 barrier. And only 1 in 5 companies has mature governance for AI agents. Sovereign AI = strategic independence.

Now you know why.

Sovereignty. Model freedom. Rapid experimentation. Enterprise controls. That's why Kindo is at Deloitte. Now let's learn how to use it.

Start Training → kindo-lms.pages.dev
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