AI Agents

Make AI reliable on enterprise data

Finally, Copilot and custom agents work with your real data. Pre-defined templates ensure agents deliver exact results, no hallucinations, no guessing.

What dhino AI gives you

Templates encode business logic. AI asks questions. dhino returns governed, accurate results.

Deterministic answers

AI doesn't generate SQL or interpret schemas. Templates define the logic. Same question, same answer, every time.

Built-in governance

AI only sees what it's allowed to see. Role-based access, audit trails, and policy enforcement by default.

AI-agnostic

Works with Copilot today. Compatible with any MCP-enabled AI. No vendor lock-in.

Lower cost, better performance

Fewer tokens wasted on context. Queries routed to deterministic logic. Predictable performance at scale.

Usage Scenarios

Copilot with real pipeline data

The sales director asks Copilot: "What's our Q4 pipeline?" Instead of guessing from context, Copilot calls dhino's "Pipeline Summary" template.

  • • Exact numbers: $4.2M weighted, 127 opportunities
  • • 23 closing this month
  • • Same answer, every time

Result: Executive decisions based on real numbers, not AI estimates.

Customer service agent with account data

An internal support chatbot needs to answer "What's the customer's contract renewal date?" dhino provides the answer from CRM with proper access controls.

  • • Agent sees only authorized data
  • • Deterministic: same question, same answer
  • • Proper governance enforced

Result: Faster support, no data leakage.

Consistent executive dashboards

Multiple AI-powered reporting tools query the same metrics. Without dhino, each tool might calculate "active customers" differently.

  • • All tools use the same template
  • • CFO and CMO see the same numbers
  • • No conflicting reports

Result: One version of truth across all AI tools.

Why AI gets your data wrong

  • ✕ Enterprise data is complex. AI guesses instead of calculating
  • ✕ Business definitions live in people's heads, not schemas
  • ✕ Databases weren't designed for AI interpretation
  • ✕ Same question, different answers. 45% cite inaccuracy as #1 AI barrier
  • ✕ Direct database access is risky and uncontrolled

How dhino makes AI reliable

Instead of letting AI "figure out" your data, dhino tells AI exactly how your data works.

Stage 1: Understanding

AI interprets the user's intent and selects the right template.

Stage 2: Execution

dhino executes pre-defined, deterministic logic. No guessing.

Built on MCP

dhino uses the Model Context Protocol (MCP), the emerging open standard for AI-data connections. Compatible with Microsoft Copilot, custom agents, and the broader AI ecosystem.

MCP is the standard for giving AI controlled access to tools and data. dhino is MCP-native.

Who benefits from dhino AI

Copilot Users

Make Microsoft Copilot actually work with your enterprise data

Custom Agent Builders

Build internal chatbots and assistants that don't hallucinate

AI Platform Owners

Deploy AI at scale with proper governance and auditability

IT & Security Teams

Enable AI adoption without compromising data security

Ready to make AI actually work?

See how dhino AI turns your data from a risk into a reliable interface for enterprise AI. Deterministic answers, every time.