Iniciaste sesión como:
filler@godaddy.com
Iniciaste sesión como:
filler@godaddy.com

One conversation to understand, govern, and execute operations.
Nashira connects your tools, data, and automation in a single interface, so your team can ask what is happening, decide what to do, and act on it with the controls your organization already requires.
Tickets, inventory, reports, automation platforms and infrastructure each hold part of what a task requires. Getting to an answer means opening several interfaces and putting the pieces together by hand.
Three things follow from that:

Three things Nashira does across every system it is connected to.
Ask a question in plain language and get one consolidated answer drawn from the systems your team already uses, instead of five partial answers from five interfaces.
Move from the answer to the action in the same conversation. Permissions, approvals and confirmations are applied before anything runs, according to the impact of what was requested.
Every run keeps its steps, results and final state, and turns into an export or a report when you need to show the outcome to someone else.
One request, coordinated across the tools available to that user.
"Summarize last month's backlog and tell me where approvals are stuck."
“Check node L1 — what version is it running, what state are its interfaces in, and what is it actually connected to?”
"Compare what we have documented against what is actually configured."
We did not validate Nashira with a test harness. We ran it on real systems — the way your team would—and kept a record, including the parts that failed.
A source of truth, an observability platform reached through an MCP server, a Git host, a vendor API we had never integrated before, network devices over SSH, and email. Real credentials and real data in each one.
Several of those sessions are Nashira diagnosing a workflow that returned an empty report, or debugging its own failed scheduled runs and promoting the fix to production. We kept them rather than re-recording clean ones.
Each session left what it produced — spreadsheets, PDFs, HTML reports, CSV exports. We can show you the artifact next to the conversation that produced it.
Describe the question or the outcome you need, in your own words.
Nashira gathers the context it can reach and proposes the steps that would answer the request.
You see what is about to happen before it happens. Actions that change something ask for confirmation.
The result is checked against the final state, and the run is recorded.
Most of the work is resolved in the conversation itself — no procedure to design, no integration to maintain. When a request would change many systems at once, or cannot be undone, Nashira does not simply run it; it turns it into an explicit set of steps you can see, review, and approve before anything happens.
Day-to-day questions and single changes are resolved directly in the conversation. Nothing to build in advance, nothing to keep in sync afterward.
A change that spans systems or cannot be rolled back is materialized as a set of steps, shown in full before it runs, and executed only after you confirm it.
Once approved, that procedure runs on its own stored logic — it is not re-planned by a model on each execution, so its behaviour does not drift and its cost does not grow with use.

Every action is classified by impact, and the controls applied match that impact. Reading data is not treated the same way as changing a production system.
The administration panel lets your team define who can do what, which operations require approval, what gets recorded, and where you review it afterward.
Users, roles, and permissions determine which capabilities and which systems each person can access. Credentials and secrets are held separately from the workflows that use them.
Policies decide which operations can run directly, which need confirmation and which need a workflow to be approved before it reaches production.
Every governed change produces an auditable entry, and every run keeps its steps, status and final state for review.
Nashira runs on your own infrastructure, inside your perimeter. It is not a hosted service you have to send your operational data to.
The core is source-available. Your security team can read what it does before it touches anything, instead of taking our word for it.
Every governed action is written to an audit trail chained from its first entry, so an alteration or a gap in the history is detectable.
Nashira doesn't replace your inventory, service desk, or automation platform. It talks to them: reading what they hold and running what they already know how to do through the connections your team configures and authorizes.
Inventory and source of truth
Service management platforms
IPAM and address management
Automation platforms and job orchestrators
Multivendor network devices
Git repositories
Your own internal systems
Documented APIs
MCP servers
SSH, with a policy per command
Built-in integrations
If a system your team depends on has no public API, your platform team can still expose it through an MCP server your platform team already runs —without a custom integration project on our side.
Turn a full ticket backlog into a summary of priority, state and approval metrics, with the themes and the bottlenecks that affect your SLAs.
Ask about a device in plain language, inspect it over SSH with the commands its platform accepts, and turn what you find into a service-desk ticket you approve first.
Compare what your records say against what your systems actually report, and produce the difference as a document you can circulate.
Turn a routine you run every month—a report, a set of checks—into a procedure that runs on schedule and delivers results, without anyone rebuilding it each time.
Bring information from one system into another, compare attributes, and apply the supported creates and updates in bulk.
Resolve targets from inventory, confirm they are reachable and run the supported commands with the credentials your team configured.
Please reach us at contact@networkingdev.com if you cannot find an answer to your question.
No. Nashira is an additional layer over the systems you already have — it reads from them and acts through them, using the credentials and permissions you provide. It reaches them through documented APIs, MCP servers, SSH or a built-in integration.
A proprietary system with no public API can be connected through an MCP server your own team maintains, which is often already in place. What Nashira can do in each system depends on the operations that system exposes and on the permissions you grant.
By the role of the person asking, the permissions assigned to them and the policies your administrators define. Reading information generally runs directly. Anything that changes a system is classified by impact and can require confirmation, or approval of the workflow before it reaches production.
A stored workflow runs the steps it was built with, every time, and is not re-planned by a language model on each execution. The output reflects live data, so the values change when the underlying systems change — but the procedure does not.
Every capability described here traces to a recorded session where someone asked for it in plain language and a real system answered — the same way your team would use it. We keep a matrix mapping each capability to the session that exercised it, the surface it went through and what it produced.
It includes what did not work: sessions where a scheduled workflow failed or a report came back empty, and the diagnosis and fix that followed. We kept those instead of re-recording clean versions, because a validation record without failures is not one. Ask us for it and we will send it as it stands.
A stored workflow does not consume language-model capacity when it runs, so its cost does not grow with how often it runs. Model usage applies to the conversation itself, and to workflows that deliberately include an AI step.
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Nashira and FlowWeaver are products of Isaza Labs LLC.