Stop paying to store the same truth five times.
Most of the tools in your infrastructure estate exist to capture and hold data — assets, IP addresses, dependencies, ownership, configuration. AuthorIOM holds all of it in one living model, continuously. Which raises an awkward but useful question for whoever signs the renewals: how many of those tools are you still paying for to store data the model already has?
Not here for the economics? The rest of the site covers the how and the why — this page is just the money.
Your tools are mostly storing the same reality.
A CMDB holds assets and relationships. An IPAM holds addresses. A discovery tool finds what is running. Spreadsheets and wikis hold ownership and intent. Each captures a slice of one underlying truth — and each carries its own license, integration, and upkeep. AuthorIOM models that single truth once and keeps it current, so the slices stop needing their own systems.
What the model lets you rationalize — on your timeline.
The model is an always-current source of truth — the job a CMDB is bought to do, without the drift.
The model tracks and maps IP addresses — the core of what an IPAM provides.
Continuous modeling is discovery — assets and dependencies kept live, not periodically scanned.
Run-state documentation is a by-product of the model — not a team and a tool keeping a wiki alive.
The integrations and scripts that keep those tools in sync stop being necessary when one model holds the truth.
Evidence is generated from the model on demand — less standalone tooling to produce it.
Integrate first. Rationalize on your timeline.
None of this requires ripping anything out to get value. AuthorIOM integrates with what you run today — ServiceNow for CMDB, SolarWinds for IPAM, your ITSM stack — and keeps them current, so nothing breaks and no workflow changes on day one. Retire what is redundant when it suits you: vendor by vendor, renewal by renewal. The savings are a path you walk, not a switch you flip.
Your biggest line item is not a license. It is expertise.
Most of an infrastructure budget is people — specialized people, each holding a slice of how things actually work in their heads. AuthorIOM moves that expertise into the model, where the organization owns it instead of the individual. That changes the math two ways, depending on the team you have.
When the model holds the dependencies, intent, and guardrails, a smaller or more generalist team can safely take on work that used to need more specialists or more senior hands. You raise what your team can do without adding to it.
When expertise is institutionalized rather than locked in individuals, you depend less on redundant, narrowly specialized roles — a labor-cost lever you control, on your own timeline.
Same rule as the rest of this page: we do not put a number on it. In a POV we model the specific capability and role overlap in your organization, so the team case comes from your reality — not a claim.
What an outage costs while you figure out what changed.
Gartner has long pegged IT downtime at roughly $5,600 per minute — about $300,000 an hour. The uncomfortable part for finance: most of it is self-inflicted. Industry research attributes around 80% of unplanned outages to people, process, and change — and more than half specifically to change, configuration, and release.
per minute of downtime — about $300K an hour.
Gartner
of that downtime is self-inflicted — change and process, not attackers.
Gartner; IDC; IT Process Institute
of recovery time is spent answering “what changed?” before the fix even begins.
Visible Ops Handbook
We will not turn that into a savings percentage for you — that is the next section. But the mechanism is direct: validate every change against the model before it executes, and the self-inflicted share of that bill shrinks. Keep a living model of what changed, and the “what changed?” scramble — the expensive part of every outage — mostly disappears.
Figures are industry benchmarks (Gartner downtime-cost analysis; IT Process Institute), not AuthorIOM measurements. Long-established findings; the AI era raises the stakes.
We will not quote you a percentage. We will model yours.
Every estate is different, so a headline “save X%” would be fiction. What AuthorIOM can do instead is concrete: during a proof of value, with your tool inventory and license data, it models the specific overlap — which tools and roles overlap with what the model already provides, and what consolidating them is worth to you. The cost case comes out of your own numbers, not a brochure.
Questions we hear a lot.
How is AuthorIOM priced?
AuthorIOM runs as SaaS — a shared tenant with your data segregated, or your own dedicated tenant — or entirely inside your perimeter, on-prem or in your own cloud, for organizations with stricter security or data-residency requirements. Pricing starts at $10K per month and scales with your environment; contact our team through the contact form for a scoped quote.
What is the ROI?
We do not quote a fabricated percentage. The mechanisms are concrete: retiring redundant tools, reducing the labor of manual reconciliation, and shrinking the self-inflicted share of downtime by validating change before it executes. A proof of value models the specific outcome against your environment.
Do we have to replace tools to get value?
No. Consolidation is optional and self-paced — AuthorIOM governs above your existing stack.
Where AuthorIOM creates value.
Less documentation effort
Infrastructure ownershipFaster MSP transitions
MSP repatriationFaster audit prep
Audit readinessFailed changes
Change governanceSafe AI deployment
AI readinessFive representative outcomes, calibrated to your environment — anchored by one reported customer result (the SAP migration, detailed below).
Find out what your stack costs you in duplication.
Start with an assessment: what an accurate model of your environment reveals — and which duplicate systems, workflows, and renewal costs can be rationalized over time.