Bearing
Know your tech debt before it owns you.
Bearing scores your ServiceNow infrastructure for health, stability, and technical debt — then generates both an executive briefing and a technical deep-dive from a single assessment pass, plus a priced SOW for remediation.
ServiceNow assessments take weeks and produce artifacts nobody acts on.
A typical assessment engagement takes 3–6 weeks. The executive summary and the technical report are written by different consultants from the same raw data. The SOW is written by a third. By the time it's done, the environment has already changed. Bearing collapses scoring, reporting, and proposal generation into a single automated pass — so partners can run more assessments with less effort, and clients get findings fast enough to act on.
See degradation before
the failure call.
Most monitoring tells you when something broke. Bearing tells you what's breaking — with confidence bounds on when it will fail. Every CI's health score is tracked over time, and Bearing models each trajectory against historical patterns to surface failures ahead of schedule — while there's still time to act.
Each CI's health trend is modeled continuously, not just sampled at assessment time. Flat scores and declining scores are treated differently.
Every forecast comes with explicit uncertainty bounds — not a point estimate. Narrow bands mean high confidence; wide bands flag where more data is needed.
30, 60, or 90 days. Set the window to match your patching and remediation cycle — so findings surface with enough lead time to act on them.
Every debt finding lists the explicit assumptions behind it. Change an assumption, and the finding — and its priority — updates automatically. No black-box rankings.
Four steps, end to end.
Export or connect
Scan your ServiceNow instance via structured export or live access. No agents required for the assessment layer.
Score five health dimensions
Bearing evaluates every CI, customization, and process across security posture, stability, performance, technical age, and configuration debt — with confidence bounds on each.
Generate dual reports in one pass
One assessment run produces two artifacts simultaneously: a board-ready executive summary focused on business risk, and an engineer-ready deep-dive with specific debt items and remediation sequences.
Auto-generate the SOW
Bearing converts findings into a priced scope of work — prioritized remediation order, effort estimates, and client-ready pricing. What used to take a week of proposal writing takes minutes.
Built for the people who own this problem.
IT Operations Manager
Visibility into which CIs carry the highest remediation risk, before they cause incidents.
CISO
A continuous security posture score across every CI — not a point-in-time audit.
CIO
An executive health summary that translates infrastructure debt into business risk and investment required.
ServiceNow Partner / Consultant
An automated assessment tool that runs in days, not weeks, and produces client-ready deliverables.
Built different.
Four capabilities you won't find assembled anywhere else.
Dual-report generation
One pass. Two audiences.
The same data produces an executive summary (business risk, investment exposure) and a technical deep-dive (specific debt items, failure patterns, remediation sequencing). No dual-authoring, no information mismatch between what the CIO sees and what engineering gets.
Assessment-to-SOW automation
Minutes, not weeks.
Bearing converts findings directly into a priced scope of work — prioritized by remediation sequence, enriched with effort estimates, structured for client review. Partners close faster. Clients see the path forward immediately.
Predictive failure baselines
See degradation before it breaks.
Bearing models degradation trajectories and surfaces CIs likely to fail within a configurable forecast window, with confidence bounds. Clients can see which debts are escalating vs. stable — and act before the incident, not after.
Falsifier-mandatory prioritization
Every finding is auditable.
Each debt finding comes with the explicit assumed facts used to generate it. If an assumption changes, the finding and its priority update automatically. No black-box scoring, no unexplainable rankings — every recommendation is traceable to its source.
How Bearing stacks up.
14 capabilities across health scoring, automated deliverables, and platform depth.
Five structured dimensions: security posture, stability, performance, technical age, configuration debt — each scored independently with explicit weighting
Health trends modeled over 30, 60, and 90-day windows with confidence-bounded forecasts — failure risk flagged before the CI fails, not after
Each CI's health trajectory compared against comparable instances in the same class and environment — outliers identified by relative position, not just absolute threshold
Explicit uncertainty bounds on each score — not black-box rankings, not analyst opinion — so decision-makers can distinguish high-confidence risks from provisional signals
Scores update automatically when Pathfinder detects CI inventory changes — not just at assessment intervals, so risk reflects the current state of the environment
Board-ready executive summary and engineer-ready technical deep-dive generated simultaneously from a single assessment run — no dual authoring, no version drift
Findings convert directly to a prioritized, effort-estimated scope of work with line-item pricing — no separate proposal writing required
Priority weights configurable by CI class, environment criticality, and risk tolerance — so remediation ordering reflects organizational priorities, not default algorithm output
Every debt finding cites the assumed facts used to generate it — if an assumption changes, the finding and its priority update automatically, without requiring a re-assessment
Every assessment state stored immutably — any past state replayable for compliance review, audit challenge, or post-incident attribution
Health scores and debt findings written directly to ServiceNow CI records via the patent-pending integration layer — no ETL, no sync jobs, no field mapping overhead
Pre-upgrade risk scoring derived from Bearing assessment data — change risk quantified before the CAB submission, not estimated from version number and intuition
CI inventory sourced from Pathfinder's live eBPF discovery — not from stale exports or manually maintained lists that diverge from the real environment
Health degradation signals feed Vantage at incident time for onset context, and Compass for CIO-level executive reporting — natively, without export or middleware
Based on publicly available product documentation as of 2025–26. Manual Assessment represents a typical consulting engagement.
Indicators and intelligence,
grounded in this product.
When a health score degrades, Bearing hands the signal to Intelligence, which generates competing hypotheses — workload spike, CI relationship change, discovery gap, decay — and falsifies each against live CMDB evidence. Only the surviving explanation surfaces.
- —CI health score by class
- —Score degradation trend
- —Risk trajectory forecast
- —MTTR prediction
- —Tech debt score
- —End-of-life exposure
- —Unsupported dependency ratio
- —Remediation priority rank
- —Discovery completeness %
- —Relationship coverage
- —Attribute population rate
- —Stale CI ratio
Where Bearing fits in the platform.
Bearing operates independently on export data. With Pathfinder live, it becomes a continuous health monitor — rescoring every time the CI inventory changes.
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See Bearing in action.
Thirty minutes. A live environment. Real findings from your own data.
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