Riisp inspects the infrastructure beneath pipeline, routing, attribution, lifecycle enforcement, and workflow governance – before structural drift reaches revenue.
Most CRM failures do not begin as outages. They begin as quiet operational drift: ownership gaps, broken routing, lifecycle conflicts, attribution decay, and workflows that stop enforcing integrity. By the time revenue teams notice the impact, reporting trust and forecast accuracy are already compromised.
Riisp evaluates structural integrity across the systems revenue teams depend on but rarely inspect – the layer beneath dashboards, routing logic, lifecycle enforcement, and workflow execution.
The integrity of pipeline as a record. Ownership, association, stage progression, and required-field discipline on the records that move revenue. When Deal Integrity falls, forecast trust falls with it – usually before anyone notices.
Whether inbound demand reaches accountable ownership before pipeline decay begins.
Lifecycle stage discipline. Whether contacts progress coherently or regress, conflict, and corrupt conversion reporting.
Reliability of source, campaign, and original-touch attribution under everyday CRM mutations.
Whether the automation enforcing process is actually firing and producing the outcomes the team thinks it is.
The five domains cover the universal failure modes. Riisp extends to whatever else your operating model treats as load-bearing – versioned alongside Riisp's own rules and applied with the same severity and exposure language.
Detection and remediation share one governed surface. Diagnosis is read-only. Every write is previewed, sampled, audited, and verified – or it does not run.
Connect HubSpot via OAuth. Riisp inventories objects, properties, workflows, associations, and activity history at a known timestamp.
Evaluate the revenue system against the integrity rule library. Each finding lands with affected records, likely root cause, and operational impact.
Findings are ranked by severity, prevalence, and quantified pipeline exposure – so the highest-impact failures rise first, not the loudest ones.
Inspect every affected record before remediation. Current value, proposed value, the logic that produced it. Nothing has been written.
Run the fix on a controlled sample first. Riisp shows what changed, where, and why – and rolls back automatically if the logic fails on any sampled record.
Re-scan after remediation. Confirm affected counts, category scores, and exposure moved in the right direction. Variance is recorded.
Every scan produces a structured integrity report with prioritized violations, quantified exposure, root-cause context, affected records, and remediation guidance.
Deal Integrity is concentrating most of the failure. When one category drops below 60, the integrity number tells you where to look first.
147 closed-won deals from the last 18 months have no owner. These deals don't roll up under a rep, don't appear in attribution reports, and don't credit territory quotas.
Forecast rolls up without these deals. Attribution misses them. Territory comp can't reconcile.
Company-owner inheritance disabled in the deal-create workflow. Manual creation skipped the owner field.
1,284 leads marked MQL in the last 90 days waited 4+ hours for an owner. 412 still have no owner today.
Qualified leads sit unassigned. Marketing spend produces no conversations.
Territory routing rules excluded the new inbound MQL source. SLA escalation never armed.
83 closed-won deals are missing one or more required finance fields (contract length, billing cadence, or seat count).
Revenue won't reconcile with finance. Renewal forecasting is impossible without contract length.
Finance-critical. Riisp does not auto-fill these fields. Export the affected set and route to sales-ops for manual completion.
Riisp separates diagnosis from execution. Teams can inspect affected records, validate sampled fixes, and confirm remediation outcomes before broader rollout.
Ask why a category broke, what changed, or what to fix first. Riisp answers using the scan findings, affected records, and remediation context – not a generic chatbot reply.
Every proposed change is shown before execution, including the affected record, current state, proposed updated, and remediation logic. Export CSV when review or handoff is needed.
| Deal | Before | After |
|---|---|---|
| Acme Expansion | Unassigned | Sarah Chen |
| Northwind Renewal | Unassigned | Marcus Park |
| Globex Phase 2 | Unassigned | Sarah Chen |
| Initech License | Unassigned | Devi Rao |
| + 143 more |
Run the fix on a small sample before committing to the full record set. If the logic does not hold on the sample, it should not run at scale.
Trigger a follow-up scan to verify affected-record counts, category scores, and exposure estimates changed after remediation.
Revenue infrastructure differs across every company. Riisp lets teams enforce custom governance logic as machine-evaluable rules – aligned to your actual GTM operating model, applied to every scan, versioned like code.
# Closed-won deals must carry a lease term ≥ 9 months. # Anything shorter is a one-off and breaks renewal forecasting. name: "Lease term < 9 months on closed-won" category: deal_integrity severity: structural match: object: deals where: - field: dealstage equals: closedwon - field: lease_term_months lt: 9 impact: consequence: "Renewal forecast assumes 9mo. Short-term leases inflate ARR." exposure: per_record_value remediation: mode: inspect_only # finance-critical — no auto-fill export: csv
Five commitments under the product. They are not slogans; they are the reason certain features exist and certain features will never ship.
Reports inherit the integrity of the systems they sit on. Fix the infrastructure first; the dashboard will follow.
A rule that doesn’t actually run isn’t policy. Riisp treats enforcement as a primitive: rules that evaluate, gate writes, and produce auditable outcomes.
Automation without governance compounds risk. The control layer has to define what is allowed before workflows can be trusted to run against production records.
AI on top of broken CRM infrastructure produces confident wrong answers. Integrity is the prerequisite, not the wrapper.
Teams trust the system when they can preview, sample, audit, and reverse. Remediation safety is the basis for adoption, not a feature.
A Riisp scan produces a structured integrity report with quantified exposure quantified, affected records, and governed remediation paths – before infrastructure drift impacts revenue.