Move Beyond Insights. Get Real Decisions in Real Time.

Traditional analytics tells you what happened. AI helps you ask better questions. But without a system that owns execution, decisions stall — and insight quietly turns into lost time, missed opportunities, and unrecovered revenue.
So, Meet Assistents AI!

Assistents AI (by Ampcome) is the agentic analytics platform built for execution — not observation. Our system doesn’t just explain data; it continuously monitors, reasons across sources, prioritizes opportunities, and triggers business actions with clear, auditable decision logic.

Why it matters:

24/7 autonomous monitoring — detects risks and opportunities before you ask.

Immediate decision triggers — initiate workflows, alerts, or optimizations automatically.

Actionable narratives, not dashboards — every insight includes the recommended next step and the confidence behind it.

What Is Agentic Analytics?

The analytics stack is broken into three generations:

1. Traditional BI Tools (Tableau, Looker, Power BI)

You build dashboards. You stare at charts. You still make decisions manually

2. Chat-Based Analytics (ChatGPT + your data, conversational BI)

You ask questions. Conversational AI answers. You still do the work.

3. Agentic Analytics - You are here

AI in Analytics doesn't just answer. It investigates, synthesizes, and executes.

Welcome screen

Why Most Companies Are Stuck Between Insight and Action

You've invested in:

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Data warehouses (Snowflake, BigQuery)

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BI dashboards (Tableau, Looker)

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Data teams (analysts, engineers)

But you still face:

48-72 hour turnaround for ad-hoc analysis

Analysts spending 80% of time on SQL, 20% on strategy

Data teams (analysts, engineers)

Decisions made on gut feeling because data isn't accessible

The problem is the handoff. Insight happens in one system (BI tool). Action happens in another (Slack, email, your brain). Agentic analytics eliminates the handoff.

How Assistents Actually Works

Assistents do not replace your data stack. It sits above it and coordinates work. The flow is simple by design

Screen showing list of tasks

1. Understand

Assistents watches metrics, text, and external signals without waiting for prompts.

2. Investigate

Agents check multiple sources, test causes, and connect context across systems.

3. Prepare Action

Instead of stopping at explanation, Assistents prepares tasks, alerts, or system changes with full reasoning attached.

Agentic Analytics vs. Everything Else

"Generic AI agents can chat. Agentic analytics can decide."

Feature

Traditional BI

Chat Analytics

Agentic Analytics

Who is thinking?

You

You

AI with human input

Who takes action?

You

You

AI within defined guardrails

Speed to insight

Days

Minutes

Seconds

Speed to action

Days

Hours

Immediate

Learns from behavior

No

You

Yes

Works while you sleep

No

You

Yes

Why Most Companies Are Stuck Between Insight and Action

We know what you're thinking:
"This sounds risky. What if the AI makes a mistake?"
Assistents AI was designed with enterprise control from day one

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How control stays with you
Approval thresholds for actions

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Role-based access tied to existing permissions

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Clear reasoning attached to every recommendation

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Full activity logs for audits and reviews

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Enterprise-Grade Architecture

Deploy in your VPC or ours

Enterprise-GradIntegrate with Snowflake, BigQuery, Redshift, Databrickse Architecture

SSO, encryption at rest and in transit

Why Do You Need Agentic Analytics?

McKinsey reported in 2024 that companies using agent-driven systems saw up to 40% faster decision cycles and nearly 3x higher productivity from data teams.

Three forces converged in 2024:

1. AI models got good enough

to reason multi-step(GPT-4, Claude—not just pattern matching anymore)

2. Data stacks got centralized

(Modern data warehouse → single source of truth)

3. Decision speed became existential

(Your competitor is already using AI. Can you afford to wait?)

Welcome screen
Welcome screen

Is Assistents Right for You?

Assistents fit teams that feel this pain daily.
You will see value if:

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Your data team fields constant Slack questions

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BI dasInsights arrive after decisions already happenedhboards (Tableau, Looker)

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AI tools felt like search, not support

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Actions require context from many systems

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If your work stops at reporting, this is not for you.

See Agentic Analytics in Action

Watch our team analyze your sample data in real-time