Riisp inspects the infrastructure beneath pipeline, routing, attribution, lifecycle enforcement, and workflow governance – before structural drift reaches revenue.
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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, 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 original-source attribution under everyday CRM mutations.
Whether process automation is stable or fighting itself – for example, workflows that loop.
The five domains cover the universal failure modes. Riisp extends to whatever else your operating model treats as load-bearing – validated when you create them and applied with the same severity and exposure language.
Detection and remediation share one governed surface. Diagnosis is read-only. Every change is previewed and explicitly approved before it runs.
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 estimated revenue 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 on each record and flags any it couldn't apply – so you confirm the logic holds before running the rest.
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, estimated 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.
412 leads and MQLs from the last 90 days have no owner assigned, so no one is accountable for working them.
Qualified leads sit unassigned. Marketing spend produces no conversations.
A new inbound lead source isn't covered by an assignment workflow, so records land in the CRM without an owner.
83 closed-won deals are missing a required field – the deal amount or close date.
Revenue won't reconcile with finance. Forecasting is unreliable when closed-won deals have no amount or close date.
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 update, 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 and applied to every scan.
# Policy: every deal must carry an amount of at least $1,000. # Deals that fail surface as a custom finding on each scan. type: policy target: deal field: amount operator: gte value: 1000
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, and audit. Remediation safety is the basis for adoption, not a feature.
A Riisp scan produces a structured integrity report with estimated exposure, affected records, and governed remediation paths – before infrastructure drift impacts revenue.