Enterprise AI software

Ask a business question.
Approve the change. Keep the record.

Your people built the intelligence your company runs on. Nodes Engine puts it to work: it connects permitted records, such as CRM accounts and support tickets, and the judgment behind past decisions in a context graph your company keeps. It compares options with estimated costs and carries out the work your team approves. Nodes Connector connects your systems and verifies each integration. Nodes AI FDE configures and tests each workflow. Your team uses all three in the Nodes desktop app.

From your systems to approved work
ConnectNodes Connector

Links your CRM and other systems within current permissions.

Main productNodes Engine
  1. Context graph
  2. Intelligence
  3. System of action
Configure and testNodes AI FDE

Builds integrations and workflows, then tests them.

Approved changes and their later results return to your context graph as Decision Traces.

The software behind the work

Three products, led by Nodes Engine.

The three products do not require separate licenses or subscriptions. Pricing follows the agreed workflow, with no seat, user or token meter.

Before work begins, the business owner agrees sources, checking frequency and what each person and assigned agent may see, recommend and change.

Nodes Engine

Company context,
intelligence and action.

Nodes Engine is the main product. It builds a context graph from your company’s records and the judgment of the people who work with them, then uses it to investigate problems and compare options. It carries out approved work across existing systems. Decisions and their measured outcomes become part of the graph. In the sample screen, Engine reads 30 open sales opportunities, finds two with a completed call but no next step, then drafts a follow-up task for each and holds both for review.

Context graph
Links records, documents and conversations with past decisions and their results: an account, its contract, its open tickets and the note explaining last year’s exception.
Intelligence
Investigates a question, shows what evidence is missing, compares responses and estimates the cost of acting or waiting. Checks earlier lessons against current conditions before reusing them.
System of action
Makes approved changes, such as creating the follow-up task in your CRM. It chooses the tools and agents the job needs; one tool can be enough. It runs permitted steps and verifies what changed.

Swap models, LLMs and agents without starting over. Your company keeps its context graph and decision history, so a replacement can use the business rules and relationships already in place. Test each new model or agent on your own cases for task quality, latency, risk and total AI and human cost before it takes over.

Model choices and deployment →
Nodes Engine desktop workspace showing a sales follow-up goal, the proposed work, evidence and approval before action.
Product illustration. Sample data.
Nodes Connector

Connect the systems
your business already uses.

Nodes Connector links Nodes Engine to your CRM, HR system, document store and other software through their APIs or file exports.

Connect sources
Map only what each workflow reads and changes, such as call dates, opportunity owners and new tasks in your CRM.
Build and verify private connectors
Build from system documentation and test each connector in your environment before use. Uncertain mappings go to system owners for review, and a schema change pauses the affected flow until someone confirms the mapping.
Respect current read/write permissions
Access to a source does not authorize new actions. In the sample screen, deleting records and sending email sit outside the granted scope.
Deployment and access
Nodes Connector desktop view showing connected business systems, access boundaries and the work each connection supports.
Product illustration. Sample data.
Nodes AI FDE

Turn a business goal
into a tested workflow.

Nodes AI FDE is our AI forward-deployed engineer product. Give it a goal, such as making sure every completed sales call has a next step within two business days. The workflow goes live only after your system owners accept it.

Clarify the goal
Confirm the rule, who signs off on each task and which acceptance checks must pass.
Build integrations
Limit them to what the workflow needs and verify access, such as task creation in your CRM.
Configure workflows
Set the steps and the approvals your policy requires. Records with missing call evidence wait for the responsible person.
Test the workflow
Run acceptance checks on task quality, exception limits and total AI and human cost before production.
Nodes AI FDE desktop workspace showing the people responsible for business decisions, access requests and the next step in a sales workflow.
Product illustration. Sample data.
See build and test
Nodes AI FDE software building a proposed workflow and testing acceptance checks before a reviewed rollout.
Product illustration. Sample data.
Fortune 1000 insurance carrierLive since January 2025Across 200+ locations nationwide. Nodes has been live since 2023. Several companies run Nodes in production; this is the one we can describe.See the evidence and its limits
Hiring900,000+ people evaluatedUsing location-specific top-performer profiles. The carrier hired 10,000+ insurance agents from that pool.
Licensing progressApproved remindersBased on each person’s latest activity and remaining progress.
Educational supportA deployed assistantIndividualized licensing and learning help, around the clock.
See the work

Follow one partner change
from notice to review.

Start from a question your team asks, or let Nodes check agreed sources at your chosen frequency and flag what changed. This fictional partner notice shows both paths.

See the operating loop

Illustrative example · No connected company systems

A partner changes its submission requirements.

A partner notice introduces site-access details. Nodes checks the current form and local guide at the company’s agreed frequency. The process owner confirms the missing requirement.

  1. Start with an observed change or one owner’s question, within agreed access and recommendation scope.
  2. Inspect dated sources and challenge assumptions. The owner clarifies that opening hours apply only to restricted-access sites.
  3. Compare a guide update, a submission check, more evidence or waiting, with estimated costs and gaps.
  4. Accept, request revision or decline. Separately agree implementation and required approvals before Nodes makes permitted changes.
  5. Compare later results, operating costs and team effort with the baseline; retain failed or inconclusive outcomes and scoped lessons.

Read the full process

Example questions

Ask about the work
your teams do.

Check each source and its date, then add what the records miss. These questions come from our use cases.

Understand

Which renewal risk warrants action?

Usage, open tickets and the renewal date tell different stories. Weigh them against what the account team knows.

RevOps example
Prepare

What should change when an issue recurs?

Compare clearer guidance, escalation or a process change, with estimated cost and effort. The owner reviews changes that need approval.

Customer support example
Get support

What would help with this task?

Practice with examples for your role, language and location, or ask an expert. The owner resolves exceptions and decides whether the guidance changes.

Employee development example
Common starting questions

What buyers ask before a walkthrough.

Why not ChatGPT Enterprise, Microsoft Copilot or our own agents?

Keep them where they help. Nodes is for a decision that spans several systems, draws on your team’s judgment and ends in approved work. Nodes Engine keeps the record of each decision in a context graph your company owns and acts only within the limits you set. You can build that layer yourself; budget for the team that runs it after launch.

How to compare AI tools for company knowledge Microsoft Copilot Studio comparison Build, buy or combine

What happens when Nodes gets something wrong?

Changes that need sign-off wait for a named person, who sees the evidence and can approve, edit or decline them. A declined proposal changes nothing. Routine steps run only within the scope you have already approved. Current permissions govern work; prior approval never expands them. You can pause the work or remove access. Failed and inconclusive results stay in the decision history.

What is an AI connector?

An AI connector links an AI system to another piece of software. For example, it could read a permitted CRM record and create a follow-up task after the owner approves it; permission to read the record does not authorize editing it. Nodes Connector tests each read and action the agreed workflow needs.

What is an AI forward-deployed engineer?

An AI forward-deployed engineer is software that turns a business goal into a configured, tested workflow. For a sales follow-up goal, Nodes AI FDE confirms who reviews each task, lists the CRM access it needs and runs the agreed acceptance checks before production. People on our deployment team work alongside it, and your business and system owners still supply local requirements and review exceptions.

Can we add AI without replacing our existing software?

Yes. Your CRM, HR system or other app stays the system of record. Nodes Engine reads permitted records from it and writes back approved changes through connections that Nodes Connector has tested. Each read and action depends on what that system supports and permits.

Can AI work inside the apps our teams already use?

Yes, where the configured connection and your permissions allow it. Nodes can show permitted evidence and recommendations, and send approved updates, in a connected application. Your team also uses the Nodes desktop app to investigate and review work. Confirm what the connection can read, change or show inside each app.

See how to test an integration Build a workflow from a goal

Start with your business

Bring one question
and the person who owns it.

We show how Nodes would approach it, which records it would need and who would approve the work. No company data needed for the first conversation. The first decision brief is a separate paid analysis of your own data, on written terms agreed before payment.