Business analytics agent

An agent that understands your business before it analyzes your data

Dialogs autonomously understands intent, resolves business context, plans and executes analysis, and delivers explainable insights — grounded in governed context so users can trust every answer.

Understands intent

Interprets natural language business questions and identifies the metrics, attributes, filters and analytical goals embedded in them — even when phrased ambiguously or using business-specific terminology.

Resolves business context

Maps user intent to enterprise knowledge using a semantic model, unstructured knowledge and business knowledge graph. Bridges vocabulary gaps between how users ask questions and how data is modeled and stored.

Plans and executes analytical actions

Decomposes goals into analytical steps, generates and executes queries automatically and coordinates across multiple data sources through a unified semantic layer — without manual intervention.

Delivers insights, not just data

Explains trends, anomalies and contributing factors. Supports root-cause analysis by surfacing the drivers behind a result, not just the result itself.

Maintains context across turns

Tracks session state, resolves entities and rewrites queries as the conversation evolves — enabling iterative, multi-turn analysis that builds toward a conclusion.

Produces explainable, governed results

Shows how every answer was derived. All outputs are grounded in governed metrics and certified business definitions, making results auditable and trustworthy.

TRUST

Accuracy you can put in production today

Dialogs grounds every response in deep business
context for production-grade AI accuracy that general-purpose assistants simply can't match.

Customer proof

100% accuracy

in production, for a global hospitality leader

Benchmark

97.5% accuracy with Dialogs. What’s yours?

SAVINGS

A drastically smaller AI bill

Dialogs intelligently orchestrates every analytical task—bringing together the right business context, tools and execution path for each question. The result is dramatically lower token consumption, reduced compute costs and trusted AI at enterprise scale.

60%+ fewer tokens

per question, on billion-row analytics workloads

50%+ lower compute

for fetching data from warehouse

MODEL ROUTING

The best-fit,
most cost-efficient
model for each task

Different tasks need different models, and a lightweight query doesn’t need a frontier model’s price. Dialogs routes each task to the best-fit model, so you get the right capability for the job and pay for power only where it’s needed.

Available inside MS Teams & Slack

Trusted analytics
where work already happens

Bring Dialogs into Microsoft Teams, Slack and other productivity applications, giving every user
instant access to governed enterprise analytics without switching tools.

AGENT TO AGENT

The specialized analytics agent every agent can call on

Dialogs is a purpose-built analytics agent — grounded in your metrics, definitions and rules. Any MCP-compatible agent can call Dialogs directly as its analytics specialist, bringing trusted, explainable insights into any agent-to-agent workflow.

MODEL FLEXIBILITY

No lock-in to any model or vendor

Your business context and analytics don’t depend on which LLM you use. Add or change models as your needs — and the options — evolve, without rebuilding your applications, context or analytics. So the best-fit model for each task is always yours to choose, not whatever you’re locked into.

Continue Exploring

AI Space

See how governed business context is assembled and delivered to Dialogs and every other enterprise AI agent

Context for AI

See how semantics, knowledge and business relationships come together to give AI a complete understanding of your business

FAQs

What is a business analytics agent?

A business analytics agent is specialized in enterprise analytics. Unlike general-purpose AI, Dialogs understands governed business definitions, relationships and business logic before it analyzes data. It autonomously plans analytical steps, executes queries and delivers explainable insights grounded in trusted business context.

How is Dialogs different from a chatbot or AI assistant?

Dialogs doesn't simply retrieve information or generate responses. It understands business intent, resolves context, performs analysis, explains its reasoning and maintains context across multi-turn conversations—making it an autonomous analytics agent rather than a conversational interface.

Can Dialogs work with other AI agents?

Yes. Dialogs is designed to participate in multi-agent workflows. Through MCP, other AI agents and business applications can invoke Dialogs whenever they need trusted enterprise analytics or business-context-aware reasoning.

Does Dialogs use the Kyvos?

Yes. Dialogs connects to the same AI Space and consumes the same governed context as every AI application built on Kyvos. This ensures consistent business definitions, relationships, governance and analytical results across your enterprise.

Why is Dialogs more accurate than general-purpose AI?

Dialogs doesn't rely solely on an LLM's training or reasoning. Every response is grounded in governed semantic models, business knowledge graphs and enterprise knowledge, helping organizations achieve production-grade AI accuracy with answers they can explain and trust.

Where can I use Dialogs?

Dialogs can be accessed directly or embedded into the tools your teams already use, including Microsoft Teams and Slack. It can also be invoked by other AI agents through MCP as part of larger enterprise workflows.