With TBM and ITFM tools
Improve the quality of mapped spend, service views, ownership assignments, and allocation confidence before it reaches Apptio® or your cost model.
Platform fit
Strengthen the systems you already run.
FogLifter® doesn't replace your existing platforms. It improves the confidence and context of the data they depend on — so every downstream tool, report, and decision starts from a validated foundation.
Integration layer
Sources CMDB, billing, cloud, infra
FogLifter validate, correlate, govern
Outputs TBM, ITSM, dashboards, AI
CMDB records Validated
Invoice line items Reconciled
Cloud resources Owner confirmed
SLA chain Within threshold
Where FogLifter fits in the stack
FogLifter works as a confidence layer across your systems of record and systems of action — improving the inputs that every downstream tool depends on.
With CMDB and ITAM systems
Expose gaps, duplicates, stale records, and unresolved relationships that undermine configuration and asset trust.
With cloud and FinOps tooling
Add ownership, service, and operational context to cloud cost discussions — so optimization is grounded in business logic, not just spend.
With provider management and SLA reviews
Ground service accountability in validated evidence instead of contested extracts and manually assembled spreadsheets.
No rip-and-replace required
Most organizations have already invested in ServiceNow®, Apptio®, Flexera®, or a combination of ITSM and financial management tools. FogLifter doesn't compete with these — it improves the data quality and relationship context they consume.
- Connects to existing systems through standard integrations — no middleware or custom builds.
- Validates and correlates records before they feed downstream workflows.
- Preserves existing operational processes while improving the inputs behind them.
"FogLifter really grew out of a common problem — organizations using five, six, seven different tools, each with a different version of the truth. We don't replace those tools. We make the data underneath them trustworthy."
Sean Moriarty, Client Lead FogLifter
How FogLifter integrates with the platforms you run
FogLifter connects to the systems your teams already use — validating and enriching data bidirectionally so every platform operates on a shared, trusted foundation.
ServiceNow® (ITSM / ITAM / ITOM)
FogLifter completely integrates with ServiceNow® across HAM Pro, SAM Pro, Cloud Insights, ITOM, and portfolio management modules. FogLifter places a validation token in ServiceNow®, bridging the gap between ServiceNow®'s rigid SQL-based architecture — where assets have fixed attributes — and FogLifter's noSQL approach that tracks how assets change over time. You pass audits while reflecting the real-world elasticity that ServiceNow®'s structure can't accommodate alone.
Apptio® and TBM platforms
FogLifter validates the asset counts, service mappings, and cost allocations before they reach Apptio® or any TBM model. Where TBM platforms measure cost of assets — the per-unit price — FogLifter layers on cost of service: underutilization, labor to maintain, KPI discrepancies, and the financial impact of delays. If you already run Apptio®, FogLifter makes the numbers it consumes defensible. It complements — it doesn't compete.
Cloud platforms (AWS, Azure, GCP)
FogLifter ingests cloud billing, resource inventory, and utilization data through API collectors. It adds what cloud-native FinOps tools don't provide: ownership attribution, service context, and contract-level validation. Customers running as low as 25–30% cloud utilization get the evidence they need to right-size — grounded in business logic and service relationships, not just spend curves.
Billing and invoice systems
FogLifter reconciles invoice line items against contract terms and actual consumption from systems of record. Discrepancies are surfaced automatically at ingestion rather than discovered manually at month-end. Invoice generation and validation cycles compress from days to hours — with full auditability at every step and a shared Validation View for both parties to resolve differences.
Discovery and monitoring tools
FogLifter ingests from discovery platforms — network scanners, endpoint agents, cloud inventory APIs — and correlates what's discovered against what's recorded in CMDB and ITAM. The result is a reconciled view that surfaces gaps discovery alone can't resolve: assets that appear in one system but not another, ephemeral resources that come and go, and naming inconsistencies across vendors and regions.
Spreadsheets, CSVs, and secondary sources
Not every data source has an API. FogLifter supports secondary ingestion from spreadsheets, CSV exports, text files, and email — so the data that lives in someone's inbox, shared drive, or legacy reporting tool still gets normalized into the model. The ontology applies the same classification and relationship logic regardless of how the data arrives.
What changes downstream
When FogLifter validates the inputs, every tool that consumes them gets better — without changing how those tools are configured or operated.
TBM reports become defensible
Allocation models built on verified asset counts, validated service mappings, and reconciled ownership records. Finance stops questioning the source data and starts acting on the insight. Showback and chargeback numbers are accepted without re-litigating where they came from.
CMDB becomes auditable
Exception lists, reconciliation evidence, and tracked resolution for every discrepancy — so the CMDB reflects current reality, not a snapshot from six months ago. Ephemeral assets are distinguished from real data quality issues, and teams focus on fixes that matter instead of arguing about elasticity.
Provider reviews become evidence-based
SLA measurements grounded in chained KPIs, validated billing, and consumption data. Both parties see the same reconciled record in the Validation View. Disputes that used to fester for weeks — or recur unchanged every billing cycle — resolve in the same period they're raised.
75+ enterprise data sources validated
40+ IT systems connected in a single environment
81 countries 52 currencies, 70 tax structures reconciled
Days → hours invoice validation cycle compression
Continue the evaluation.
Platform fit is one part of the picture. The pages below cover the urgency, differentiation, and how the platform works.
Why Now
The operational and financial cost of low-confidence IT data — and why it compounds over time.
Differentiators
What separates FogLifter from generic visibility tools — validated data, ontology-driven modeling, and time to value.
How it works
From data ingestion to validated answers — a step-by-step view of the operating model.