Auto CRM · Revenue Operations

CRM that works for the rep.

Auto CRM runs revenue operations end to end.

Replaces the work around Salesforce Sales Cloud HubSpot CRM Dynamics 365 Sales Pipedrive Zoho CRM
Activity captured
Meetings, calls and emails logged

The account record updates without rep entry.

Next best action
Follow-up ready for approval

The play is surfaced with context and timing.

Forecast signal
Pipeline computed from activity

Leaders govern a pipeline they can trust.

Live

Pipeline kept current from real activity, not manual entry.

~60%

Fewer tokens per process than frontier-model agents.

90 Days

To a committed AI-first baseline under ROI Assurance.

Apps wait for people. Autos finish the work.

CRM software stores records. Auto CRM runs the revenue operation.

Legacy CRM depends on reps to enter data, update stages and remember follow-ups. Auto CRM keeps the operation current and drives the next action.

Your CRM today

The SaaS you run today
  • ×Reps spend selling time on data entry, and still the data is stale.
  • ×Duplicate and incomplete records undermine every report.
  • ×Follow-ups slip because nothing prompts the next move.
  • ×Forecasts are a manual roll-up nobody fully trusts.
  • ×Renewals and expansions are missed until it is too late.

Auto CRM

The Auto that replaces it
  • AI Employees capture activity automatically and keep records clean and complete.
  • Duplicates are merged and records enriched from the graph continuously.
  • The next best action is surfaced and executed under policy for every deal.
  • Pipeline and forecast are computed from real activity, not optimistic roll-ups.
  • Renewal and expansion risk is flagged early with the play attached.
The components of Auto CRM

The revenue operation, run by AI Employees.

Auto CRM decomposes revenue operations into the components a go-to-market team actually runs.

A CRM the whole team can trust.

The record becomes automatic.

Activity, accounts and data quality are maintained continuously, so sellers do not become CRM administrators.

Data Employee
Automatic activity capture

Captures email, calls and meetings automatically so the record is current without rep entry.

Deduplication and enrichment

Merges duplicates and enriches accounts and contacts from the graph continuously.

Data-quality enforcement

Enforces required fields and data policy so reports and forecasts are reliable.

Account 360

Maintains a complete account view across sales, service and finance signals.

The next best move, on every deal.

Pipeline movement becomes systematic.

Auto CRM reads deal context, detects drift and moves sellers to the next useful action.

Deal Employee
Opportunity management

Keeps stages, close dates and next steps current from real activity, not memory.

Next-Action Employee
Next-best-action

Surfaces and executes the next best action per deal under policy.

Stalled-deal recovery

Detects stalling deals and triggers the recovery play with context attached.

Lead follow-up

Ensures every lead gets timely follow-up so none go cold.

A forecast grounded in reality.

Forecasting moves from opinion to signal.

Pipeline health, renewal risk and revenue leakage are computed from live account activity.

Forecast Employee
Pipeline and forecasting

Computes pipeline health and forecast from real activity and signals.

Quote and order

Generates quotes and orders under approval policy and hands off cleanly.

Renewal Employee
Renewal and expansion

Flags renewal and expansion opportunities and risk early with the play attached.

Revenue-leak prevention

Detects missed renewals, discounting drift and coverage gaps before they cost revenue.

Human command over a trusted pipeline.

Governance is embedded in the work.

Revenue leaders set rules once. Auto CRM applies them before changes and approvals execute.

Policy authoring

Revenue leaders author data, discount and approval rules in plain language.

Approval routing

Routes discount and deal approvals through the delegation-of-authority matrix.

Exception resolution

Deal and data exceptions arrive with context and the applied policy.

Audit trail

Every change and approval is time-stamped and queryable for revenue governance.

End to end, not step by step

Scenarios Auto CRM runs end to end.

Each is a revenue operation the Auto owns end to end, with sellers in command of the customer conversation.

Automatic activity capture

Email, calls and meetings are captured automatically so records stay current.

Data
Deduplication and enrichment

Duplicates are merged and accounts enriched from the graph continuously.

Data
Next-best-action

The next best action per deal is surfaced and executed under policy.

Pipeline
Stalled-deal recovery

Stalling deals are detected and the recovery play is triggered with context.

Pipeline
Reliable forecasting

Pipeline health and forecast are computed from real activity.

Forecast
Renewal and expansion

Opportunity and risk are flagged early with the play attached.

Forecast
Revenue-leak prevention

Missed renewals, discount drift and coverage gaps are caught early.

Forecast
Deal approval routing

Discount and deal approvals route through authority rules with evidence.

Govern
AI does the work. Humans govern.

How Auto CRM runs the operation.

Every cycle runs through the four parts of an Auto: AI Employees, Auto Policies, Auto Workbench and the Auto Graph.

Governed through the Auto Manager Console. Every action logged, time-stamped and auditable.

The workers
AI Employees

Capture activity, drive next-best-action, and manage pipeline and renewals across the revenue stack.

The guardrails
Auto Policies

Data, discount and approval rules are enforced before an action or approval executes.

Human in command
Auto Workbench

Deal and data exceptions arrive with context and the applied policy.

The core moat
The Auto Graph

Accounts, contacts, activity, deals and outcomes sharpen next-best-action and forecasting every cycle.

Proven in production

A team that sells while leaders govern.

Enterprise revenue-operations deployment

A CRM that works for the rep, not the other way around.

Supervity AI Employees keep CRM data clean, capture activity automatically, and drive next-best-action across the revenue operation.

SOC 2 Type 2 and ISO 27001 certified. Sovereign deployment on the customer's own cloud and model contracts.

Fact needed before external use: confirm reference account and hard metrics with the account team.

30%

AI-first target at 3 months

60%

AI-first target at 6 months

80%+

AI-first target at 12 months

ROI Assurance is built in

An outcome commitment, not a licence.

Auto CRM is deployed against a committed path to AI-first operations.

30%

AI-first operations in 3 months

60%

AI-first in 6 months

80%+

AI-first in 12 months

Milestones are scoped per deal during FDE baseline scoping and subject to commercial agreement. The remedy is extended engagement at no additional cost, not a refund.

Auto CRM

Make the revenue operation AI-first.

See Auto CRM run against your own pipeline and playbooks in an FDE baseline scoping session.

Autonomous · Always Learning · Auditable