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DCS-PIS · PREDICTIVE INTELLIGENCE SYSTEM · CURRENT

Current

DCS-PIS

Predictive Intelligence for modern businesses.

The flagship product of Datachondria Systems, an AI-native B2B technology company.

DCS-PIS connects a business’s data into one graph, reasons over it, predicts what comes next, recommends what to do, and — inside governance a person sets — does it. It is an intelligence system, not another analytics dashboard.

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From business data to business action.

  1. 01

    BUSINESS DATA

    Connected from the systems already in use.

  2. 02

    BUSINESS CONTEXT

    Typed into one graph of customers, deals, campaigns, invoices, people and events.

  3. 03

    INTELLIGENCE

    Monitored continuously; every metric with one definition.

  4. 04

    PREDICTION

    What is likely, with confidence stated.

  5. 05

    DECISION

    What to do, ranked by expected value.

  6. 06

    AI ACTION

    Executed by agents within governance.

  7. 07

    OUTCOME

    Measured against a held-out control where one exists.

  8. 08

    LEARNING

    Fed back into the models and the business’s memory.

HOW DCS-PIS WORKS

and back to the dataOBSERVEUnderstand the businessANALYZEFind patterns and driversPREDICTAnticipate what comes nextDECIDERecommend actionsACTExecute through workflows and agentsLEARNMeasure outcomes

Five questions every business asks. One system that answers them in order.

  1. What happened?

    Business Intelligence

    Signals and alerts across revenue, pipeline, churn risk and operations; a daily brief of what changed and why it matters; metrics with one definition each, and “how is this computed” on every chart.

  2. Why did it happen?

    Causal discipline

    Drivers and patterns behind the change. DCS-PIS labels a relationship correlational until an experiment concludes — a causal claim is earned, never assumed.

  3. What is likely to happen?

    Predictive Intelligence

    Churn, lifetime value, lead conversion, deal win and revenue forecast, each with calibrated confidence. When the data underneath is incomplete or stale, the prediction is withheld and the reason is shown.

  4. What should we do?

    Decision Intelligence

    Recommendations ranked by expected value — what, for whom, when, through which channel, at what cost, with the downside stated. Each carries an executable action, or the reason it cannot execute.

  5. Can AI execute it?

    AI Agents inside governance

    Sixteen catalogued agents, each with a role, allowed tools, data scope and budget. Read-only and low-risk actions run and are logged. Customer-facing and financial actions queue for a person to approve, modify or reject. Six actions are available to no agent, ever.

What it looks like in a working week.

Capabilities

Ten capabilities, one system. Each exists in the product today.

  • Business Intelligence

    Continuous monitoring of the business, not a static dashboard.

  • Predictive Intelligence

    Churn, lifetime value, conversion, deal win and revenue forecast — with calibrated confidence.

  • Business Analytics

    Analytics as a view over one business graph, not a separate store.

  • Decision Intelligence

    Recommendations ranked by expected value, each with an action attached.

  • AI Copilot

    Ask the business a question; get data, analysis and a recommended action.

  • Business Context

    One typed model of customers, deals, campaigns, invoices, people and events.

  • Automation

    Workflows built from triggers, conditions and governed actions.

  • AI Agents

    Sixteen catalogued agents, each with a role, tools, data scope, budget and escalation rule.

  • Business Memory

    The organisation remembers: policies, goals, decisions, experiments, customer history.

  • Integrations

    Connects to the systems the business already runs.

The product, as it is.

Real screens from DCS-PIS. Data shown is an illustrative workspace.

Command Center

What changed, what it means, and the three things most worth attention.

Autonomy is granted, not assumed.

Every action an agent proposes is classified before it runs.

  1. Level 0

    Read-only

    Pull a report, summarise an account.

    No approval

  2. Level 1

    Low-risk automated

    Log an activity, update a score, tag a record.

    Runs, and is logged

  3. Level 2

    Configurable

    An internal notification, a draft campaign.

    Your organisation decides

  4. Level 3

    Financial or customer-facing

    A discount, an outbound email.

    Explicit approval, every time

  5. Level 4

    Highly sensitive

    Never automated, with or without approval.

    Never automated

No agent can reject a candidate, terminate an employee, change compensation, promote, issue a refund, or alter a contract. These are absent from every agent’s tools, not merely restricted.

Every run is logged. Every organisation’s data is isolated at the database. An agent behaving unusually — even within its permissions — is throttled to suggestions until a person releases it.

Security & trust

Connects to what you already run.

  • CRM

    • HubSpot
    • Salesforce
    • Zoho CRM

  • Commerce & payments

    • Shopify
    • Razorpay

  • Finance & HR

    • Zoho Books
    • RazorpayX
    • Keka

  • Communication

    • Slack
    • Exotel
    • Email (SMTP)

  • Advertising

    • Meta Ads
    • Google Ads
    • LinkedIn Ads

  • Generic

    • REST / webhook
    • ERP (REST)
    • Inventory (REST)

See DCS-PIS on your own business questions.

A working session with the people building it. Bring the systems you run and the questions you cannot currently answer.

Request a demoTalk to DCS