Image
Workflow
Sales

Keeping CRM data clean without nagging reps

Hygiene fails because it is a tax charged to the person least willing to pay it. This is how an agent maintains the record from activity your team has already generated.

Hygiene fails because it is a tax charged to the person least willing to pay it

Today

Duplicates arrive faster than anyone clears them

  • Duplicates arrive faster than anyone clears them.
  • Stages stopped matching reality some time ago, and the fields your forecast depends on sit empty on the records that matter most.
  • The recurring reminder to update the system goes out and nobody answers it, so an operations person cleans by hand knowing it will be dirty again by the end of the quarter.
  • Hygiene fails because it is a tax charged to the person least willing to pay it.
With agents

The record is maintained from activity that already exists

  • Reps confirm rather than enter.
  • The forecast rests on fields that are actually populated.
  • Hygiene stops being a periodic project.

How an agent runs it

The record can be maintained from activity your team has already generated, which turns data entry into confirmation.

01

Watching the systems of record

Watches the systems of record for new and changed records rather than running a periodic cleanup.
02

Deduplication by written rules

Deduplicates against match rules you have written down, and holds the pairs the rules cannot settle.
03

Fields filled from your sources

Fills contact and account fields from sources your team already has access to.
04

Stage follows the work

Updates stage and next step from meeting and message activity, so the record follows the work instead of trailing it.
05

Stage and activity compared

Flags records whose stage and activity disagree, with both shown side by side.
06

Human gate

Routes merges, deletions and owner changes to the operations owner for confirmation, because those are the changes that are expensive to reverse.
07

Forecast fields, named

Reports which records fail the fields your forecast depends on, named field by field.

Results

What changes when data entry becomes confirmation

Reps confirm rather than enter

The agent proposes the update from activity that already happened, so the rep answers a question instead of filling a form.

A forecast on populated fields

The fields it depends on are checked continuously and the failures are named, rather than discovered in the meeting where the number is presented.

Hygiene stops being a project

The work runs as records change instead of accumulating until somebody schedules a cleanup.

Where this fits

Workflow / Automate a Workflow

Tier 1 through the Automate a Workflow door: one workflow, end to end. Hygiene is a quiet first candidate that makes the louder ones possible, because pipeline reporting and forecasting both rest on the same fields. From there the pattern extends toward a sales operations role that carries more of the cycle. That is somewhere it can head, not work it is promising.

See Automate a Workflow for the tier, and How It Works for write scopes and gates.

Tier 1 / Prove
How It Works

Questions, answered

Only to the fields you authorize. Writes are scoped, the scope is inspectable, and the changes that are expensive to reverse stay behind a gate rather than behind a setting somebody can forget about.

AI Opportunity Audit

See how many records pass the three fields your forecast depends on

Bring the three fields your forecast actually depends on and see how many records pass them today.