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Account change detection with proof

Know what changed in every account. Act with proof.

Aartha turns meetings, emails, documents, CRM updates, and support signals into a cited account memory graph, detects meaningful change, and drafts the next move — governed by your approval policies.

Detects account change Every insight cited to source Acts only with your approval
What changedLive

What changed today

3 accounts need attention

Acme CorpHigh risk

Champion changed roles

Cited from latest meeting · 92% confidence

NorthstarReview

Renewal commitment slipped

Cited from latest meeting · 92% confidence

BrightLabsOpportunity

New expansion intent

Cited from latest meeting · 92% confidence

Next best action

Open renewal room for Acme →

30% faster renewal cycles20+ hours saved per CSM / month90 days earlier churn detection1 week to full rollout
Salesforce HubSpot Gmail Outlook Google Calendar Zoom Microsoft Teams Salesforce HubSpot Gmail Outlook Google Calendar Zoom Microsoft Teams

The missing workflow in the customer stack

The hard part is not storing customer data. It is noticing what changed.

CRMs store fields. Call tools create transcripts. Support tools resolve tickets. The expensive misses happen between them: a buyer changes, a commitment slips, sentiment reverses, or a renewal blocker appears. Aartha turns those changes into cited work.

1

Remember

Every interaction becomes durable, source-backed account knowledge, not another summary that disappears.

2

Detect

Aartha compares new evidence against account memory to find what changed and why it matters.

3

Act

It drafts the next move: outreach, CRM updates, plays, renewal rooms, and meeting prep, with approval, audit, and rollback.

Memory updating

Account memory · Acme

Stakeholder changed

Maria Chen is now the economic buyer

QBR · Jun 18 · 92% confidence

Commitment due

Security review due before July 12

Email · Jun 20 · 97% confidence

Risk increased

Implementation timeline moved by 3 weeks

Project call · Today · 88% confidence

Why now

A new layer becomes possible exactly once.

01

The system of record stopped being enough

CRMs store the fields people remember to type. The truth about a customer — who really decides, what was promised, why momentum changed — lives in conversations no system understands.

02

AI can finally read the relationship

For the first time, models can reconcile meetings, email, and tickets into structured, cited facts. The bottleneck moved from recording data to understanding and acting on it.

03

Memory is the moat, not the model

Anyone can call an LLM. The defensible asset is a cited, time-aware memory of every account that compounds with each interaction — and gets harder to replace the longer it runs.

Core app roadmap

Build the app around one loop: evidence, memory, change, action, outcome.

The core product should not be another collection of CS tabs. Every surface should help teams inspect customer evidence, understand what changed, and move the account forward safely.

01

Account Brain

Current truth, superseded facts, and source proof.

02

Change Feed

Champion, risk, commitment, sentiment, and expansion deltas.

03

Cited Health

Scores with drivers tied to memory facts.

04

Renewal Room

A live workspace for risk, MAPs, drafts, and portal updates.

05

Agent Control

Approval modes, tool policy, execution logs, and rollback.

The result: Aartha becomes the operating loop for post-sales revenue, not just another place to read summaries.

Enterprise trust. Startup speed.

Secure by design, useful in about a week.

Your customer data stays yours.

Built on Google Cloud with encryption in transit and at rest, controlled access, and regular security testing.

Built on Google Cloud

Scalable, reliable, and secure by design.

Compliance ready

Meets global standards including SOC 2, GDPR, and CCPA.

Regular audits & testing

Regular audits and penetration tests to stay ahead of threats.

Data encryption

Encrypted in transit and at rest with industry-standard protocols.

Where this goes

The account memory layer becomes the action layer.

Start with the teams who feel the pain first: customer success, renewals, and account growth. Then extend the same cited memory into sales, support, product, and leadership. The durable advantage is not a dashboard; it is the account truth that every workflow can safely act on.

The company that notices account change first, proves it, and acts safely has the advantage. Aartha should make that the default.

AI customer success, explained

Questions teams ask before they start.

What makes Aartha different from a CRM or Gainsight?+

Your CRM is the system of record — it stores the fields people type in. Aartha is the system of intelligence and action on top of it: a Customer Memory Graph that reconciles meetings, email, and tickets into cited, time-aware facts, explains what changed, and drafts and executes the next move under your control. Legacy tools like Gainsight are dashboards on top of those same fields; Aartha is AI-native from the memory layer up.

What is a Customer Memory Graph?+

A living intelligence layer that connects stakeholders, goals, commitments, risks, and outcomes over time. Every fact is tied to its source. When reality changes, Aartha records what changed instead of losing the history.

Does Aartha take actions on its own?+

Aartha drafts actions — emails, CRM updates, tasks — grounded in real account facts, but every external action waits for your approval, with a full audit log and one-click rollback.

How long does it take to get value from Aartha?+

Most teams can connect their core customer systems and begin building account memory in about a week. Aartha is designed for adoption across every team that influences the customer relationship.

Is my data secure?+

Aartha is built on Google Cloud and is SOC 2, GDPR, and CCPA compliant, with encryption and regular penetration testing.

Which tools does Aartha connect to?+

CRM, email, calendar, and meeting tools — with unlimited connections and no per-integration fees.

Your next account move is already in the signals

Know what changed in every account.

Turn fragmented customer evidence into cited account memory, explainable change detection, and governed action.