Find the smallest useful next step.

Pipeline

Pipeline exists. Nobody trusts what will actually convert.

Stage definitions, deal evidence, ageing and qualification have drifted far enough that coverage looks healthier than the quarter really is.

CRM trust

The CRM reports the business. It does not reflect how the business actually runs.

Reps route around the system, required fields are unreliable and reporting is built on definitions the operating team no longer follows.

Handoffs

Revenue leaks between teams because the handoff is nobody's operating system.

Marketing, SDR, AE and CS each optimise their own step while context, acceptance rules and accountability disappear between them.

Forecast

The forecast is a confidence ritual instead of an evidence system.

Commit categories mean different things across managers, evidence arrives late and leadership discovers risk after the quarter has already moved.

Sales execution

Discovery happens. Evidence does not compound into a controllable deal process.

Pain is discussed without commercial consequence, champions are assumed, Economic Buyers appear late and stage movement relies on judgement rather than proof.

Lifecycle & attribution

Marketing, Sales and Finance are working from different versions of the funnel.

Lifecycle stages, source rules and ownership logic have drifted across MAP, CRM and reporting, so conversion and attribution debates replace operating decisions.

Lead routing

Good demand is reaching the wrong owner, too slowly, or not at all.

Territory, segment, account and ownership rules conflict across systems, creating manual fixes, SLA misses and hidden revenue leakage.

Marketing → pipeline

Marketing activity is visible. Its contribution to qualified pipeline is not.

Teams can report campaigns and leads but cannot reliably connect activity to sales acceptance, opportunity creation and pipeline quality.

Onboarding & ramp

People finish onboarding before they are ready to execute the sales motion.

Ramp is measured by time served and content completed instead of observable readiness, deal behaviour and manager-certified execution.

AI workflow

The AI pilot works in a demo. Nobody owns the production operating model.

The workflow has promise but permissions, data quality, human approvals, exception handling and measurement are not strong enough for governed production use.