Migrate From a Model,
Not From Scratch.
The hard part of a migration is not standing up the new platform — it is that no one has an accurate, normalized model of the current one. AuthorIOM does. It normalizes your environment, generates the target-state Terraform and Ansible, and — with approval — executes the cutover. Move Azure to AWS, Cisco to Juniper, Palo Alto to Check Point — the same way.
A migration is a board-level risk. Model it like one.
Migrations slip schedules, blow budgets, and take production down — not because the new platform is hard, but because no one can see what the move will break until it breaks. Modeling first turns those unknowns into a plan you can put a number and a date against.
Scope against a known model instead of discover-as-you-go — fewer surprises, a number you can defend.
Dependencies known up front compress the schedule and remove the mid-cutover stalls.
Blast radius is validated before the cutover, so the move does not take production with it.
A model of the prior state means a path back — not a big-bang you cannot reverse.
The platform is the easy part.
- The inventory is incomplete and out of date before the project even starts
- Dependencies are discovered mid-cutover — the hard way
- Intent and ownership get lost in translation between platforms
- Everything is rebuilt by hand for the new vendor’s syntax
- Big-bang cutovers with no model of what to roll back to
Transform a model you trust — do not rediscover the environment.
Because AuthorIOM holds a normalized, vendor-neutral model of your environment — assets, dependencies, ownership, intent, and configuration — migration becomes a transform of that model. The model carries the things spreadsheets and tribal knowledge lose.
The intent, captured independent of any one platform’s syntax — so it can target another.
What connects to what comes across intact, so nothing is orphaned in the move.
Why each thing exists, and who owns it, survives the migration.
The same SAP move, scoped two ways.
Scoped the traditional way — discovering the environment as the project went — the move was projected at $10M over 12 months. Modeled first, with dependencies, ownership, and intent known before anything moved, the same SAP migration landed at $2M in 6 months. The difference is migrating against a known blast radius instead of finding it mid-cutover.
Known dependencies, ownership, and blast radius up front — no rediscovering the environment mid-cutover.
Top global manufacturer · SAP on-prem → cloud. Customer named under NDA — reference available on request.
Model. Normalize. Generate. Validate. Approve. Execute.
Model the source
Read the current platform — Azure, Cisco, Palo Alto — including its existing Terraform and Ansible, into one normalized model.
Normalize
Translate it to a vendor-neutral representation: the intent, not the vendor-specific syntax.
Generate the target
Produce the destination’s Terraform and Ansible from the model — AWS, Juniper, Check Point.
Validate
Check the target against the model: what translates cleanly, what does not, the blast radius, and the gaps.
Approve
Nothing executes without sign-off. The cutover passes through the model and your approval before it runs.
Execute & cut over
On approval, AuthorIOM applies the change and pushes the new environment live — governed, logged, and reversible.
The model decides. The automation moves.
A model without automation is a library — it can describe the move but never make it. Automation without a model is blind — commands firing with no sense of what they touch or break. AuthorIOM is both, in one engine: the model holds what to change and why, the automation carries it out, and every action is checked against the model before it runs. And it does not replace the automation you already have — it absorbs it.
What to change, what it touches, and why — the dependencies, ownership, and intent behind every move.
Executes consistently and at scale, each action validated against the model before it runs.
Existing Terraform and Ansible is absorbed into reusable, governed blueprints — nothing rewritten from scratch.
Start read-only. Graduate to governed execution.
AuthorIOM begins read-only — it models and validates without touching anything, so you prove its authority at zero risk. In production it operates two-way: reading configuration and, once trusted, pushing it. Every push still passes through the model and your approval before it executes. Execution is the endpoint of earned trust, not the entry point.
Model and validate. No writes. Prove the authority is right before it acts.
Generate target code and plans; review the blast radius; approve.
Push change through the model — two-way, approved, logged, reversible.
Same pattern — cloud, network, and security.
Azure ↔ AWS ↔ GCP. Normalize the environment and generate the target’s Terraform.
Cisco ↔ Juniper ↔ Arista. Carry the policy and topology intent across vendors.
Palo Alto ↔ Check Point ↔ Fortinet. Translate rule and policy intent, not just syntax.
Platform names are illustrative of the pattern; coverage is confirmed per environment during scoping.
The migration ends. The model does not.
A migration tool or a consultancy hands you a finished project — and the day it ends, you are back where you started: no living model, and the knowledge walking out the door. AuthorIOM is the opposite. The migration is a by-product of a model you keep. When the cutover’s done, you do not have a closed engagement — you have a living, governed model of your new environment, already running: every asset, dependency, owner, and intent, validating every change that comes next.
No binder that is stale the day it is written — a model that stays current with the environment.
Ownership and intent live in the system, not in the heads of the team that ran the move.
The new environment is already under the operating model — every future change validated before it runs.
Questions we hear a lot.
Does AuthorIOM execute the migration or just plan it?
Both. AuthorIOM normalizes the source environment, generates the target-state Terraform and Ansible, and — once the cutover is approved — executes it. It executes the cutover through governed automation, so you get the migration without owning, operating, or paying for an automation platform of your own.
What platforms can AuthorIOM migrate between?
The same pattern applies across domains: cloud (for example Azure to AWS), network (Cisco to Juniper), and security (Palo Alto to Check Point). AuthorIOM normalizes the source into a vendor-neutral model and generates the target platform configuration from it.
Scope your migration against a model you can trust.
Start with an assessment: what an accurate, normalized model of your current environment reveals — and what moving it actually involves.