Glacien · Agentic Analytics
Conversational Data Agent

Ask your data anything.
Watch the agents work.

The Conversational Data Agent turns business questions into validated answers, charts, and actions — with every step visible. Built natively on Amazon Bedrock AgentCore Runtime and deployable on your AWS account in days, not quarters.

Time to prod
Days on your AWS
Platform
Bedrock AgentCore
Governance
SOC 2 · GDPR
Answer latency
< 1s routine
The opportunity

Why enterprises are buying agentic analytics in 2026.

The question is no longer whether to adopt agentic analytics. It is which platform to trust.

80% of business users cannot access the warehouse

They wait three to five days for analyst bandwidth. The Conversational Data Agent closes the gap to seconds.

$80B of analyst labour shifts to AI by 2026

Gartner projection. Enterprises are moving past dashboards to agents that answer — and act.

<20% of decision-makers have direct data access

The agent democratises the warehouse without compromising governance or consistency.

Differentiators

Not another text-to-SQL tool.

Four ways the Conversational Data Agent addresses where commodity tools fail.

Multi-agent orchestration

A Supervisor delegates to four specialists — Query, Insight, Visualisation, Action. Each does one thing well. Together they reason like a team.

SupervisorQueryInsightAction

Every reasoning step is visible

Competitors hide the agent's thinking. We surface the plan, the SQL, the retries, the cost, and the guardrail checks — a black box becomes an auditable trail.

Live tracesSQL logGuardrail checks

Governed by a semantic layer

Your business definitions, not the agent's guesses. Revenue means the same thing to every user, every time. Consistent answers are the trust foundation.

Shared metricsRBACVersioned

Agentic means it acts

The agent does not stop at the answer. It drafts the Slack message, creates the Jira ticket, schedules the follow-up — always with human approval.

SlackJiraApprovals
How it works

Three steps. Every time.

Repeatable across finance, revenue ops, supply chain, and every team after.

1

You ask

In plain English, voice, or Slack. No SQL, no dashboards, no reports to commission.

2

Agents work

Plan, query, validate, synthesise. Every step streams into a live trace panel you can audit.

3

You get an answer

A chart, a number, or a paragraph — whichever fits. One click sends it where work happens.

90-day outcomes

What enterprises see in the first 90 days.

Six outcomes, consistent across deployed references.

70–80%
Routine requests resolved
Seconds
Decision latency
−70%
Data team backlog
$2–6M
Annual value (500-person enterprise)

Ready to see it on your data?

Book a 30-minute walkthrough with our solutions team. We'll run the agent on one of your sample datasets and show you the live reasoning trace.