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Enterprise

One execution layer instead of a different automation tool per department.

Consolidate workflow, integration and AI onto a single platform that connects to the ERP, CRM and finance systems you already run, without a rewrite and without per-seat costs that punish adoption.

for workflow, integration and AI
One platformfor workflow, integration and AI
of ERP, CRM or finance systems
No rewriteof ERP, CRM or finance systems
shared credential handling
Vault-backedshared credential handling
models under one governance model
Self-hostedmodels under one governance model

Operational pressures

The tool count grew before anyone decided it should.

Most enterprises did not choose automation sprawl. It accumulated one department purchase at a time.

  • Every department bought its own automation tool

    Finance runs one robotic process automation product, IT operations runs a second scripting tool, and customer support runs a third chat-based helper, each with its own license, its own credentials store and its own audit trail, or lack of one.

  • Per-seat licensing punishes the workflows that actually scale

    Automation tools priced per user or per bot become more expensive exactly when an initiative succeeds and more teams want to use it, which quietly caps how far a good idea is allowed to spread.

  • Core systems cannot be replaced on a reasonable timeline

    ERP, CRM and finance systems represent years of configuration and integration investment. Modernization has to work with them as they are, not wait for a multi-year replacement program.

  • AI pilots stall because no one owns the governance

    Individual teams experimenting with AI assistants produce useful demos, but without a shared model registry, guardrails and review process, none of them are trusted enough to run against production data.

The cost of sprawl

What consolidation actually changes.

The comparison is not feature for feature. It is architecture for architecture.

Category

Tool count

What that category does

A separate automation, integration and AI product per department, each with its own admin, credentials and support contract.

Where Nexus sits

One execution layer for workflow, integration and AI, administered centrally with department-level workspaces.

Category

Licensing model

What that category does

Per-seat or per-bot pricing that increases cost precisely as adoption grows.

Where Nexus sits

Capacity-based deployment that does not penalize a workflow for succeeding.

Category

Credential handling

What that category does

Credentials for downstream systems stored inside each individual tool, multiplying the places a secret can leak from.

Where Nexus sits

Vault-backed secrets shared across workflows under one access model.

Category

Audit visibility

What that category does

An audit trail that exists only if the individual tool happened to log one, in a format specific to that tool.

Where Nexus sits

One execution record format across every workflow, connector and AI step.

Systems typically in scope

What a Nexus deployment usually needs to reach.

Consolidation starts by connecting to what already runs, not by asking teams to migrate data first.

ERP and finance systems
Core ERP, accounts payable and financial close systems reached through database, SAP RFC or published API layers.
CRM and customer systems
Sales, service and customer data platforms integrated without duplicating their data model.
HR and identity systems
HR information systems and directory services for onboarding, offboarding and access changes.
IT service management
Ticketing and service management platforms that raise the events many enterprise workflows react to.
Existing automation tools
Robotic process automation bots and point integration tools that are being consolidated onto one platform rather than ripped out on day one.

Worked scenario

An invoice exception, from mismatch to posted payment.

Matching rules clear most invoices automatically. A self-hosted model reads the exceptions. An analyst decides.

  1. 01

    Trigger

    An invoice arrives in accounts payable outside the range the ERP can auto-match.

  2. 02

    Integration

    Connector steps pull the purchase order, the receiving record and the vendor's payment history from the ERP and a legacy procurement database.

  3. 03

    Rules + Code

    Deterministic checks apply matching tolerances, vendor risk flags and duplicate invoice detection.

  4. 04

    Sovereign AI

    A self-hosted model reads the invoice line items and flags likely coding errors against the vendor's historical pattern.

  5. 05

    Human Approval

    An accounts payable analyst reviews the assembled exception, the rule outcomes and the model flag, then approves, corrects or rejects.

  6. 06

    System Action

    The approved invoice is posted back to the ERP for payment.

  7. 07

    Audit

    The invoice, retrieved records, rule outcomes, model output and analyst decision are retained as one execution record.

Representative accounts payable exception. The model flag is a proposal for the analyst to weigh, not an automatic rejection or approval.

Modernization without rewrites

Integration modernization that does not touch the core system.

The fastest way to stall a modernization program is to make it depend on replacing a system that still works.

01

Integrate at the interface layer, not the data layer

Workflows connect to ERP, CRM and finance systems through their existing APIs, database layers or SAP RFC interfaces, so the core system configuration is untouched and upgrade cycles remain the vendor's own.

02

Consolidate bots and scripts onto one execution model

Existing robotic process automation bots and point scripts can be re-platformed onto Nexus one workflow at a time, replacing the license and the credential sprawl without a single cutover event.

03

Private AI sits alongside deterministic automation, not instead of it

Self-hosted models handle document reading, summarization and classification inside the same workflow that runs deterministic rules, under one governance and audit model rather than a separate AI platform.

Evidence and reporting

One execution record, regardless of which department built the workflow.

Internal audit should not need to learn a different tool's log format for every department.

  • Cross-department visibility

    Workflow, integration and AI steps across every department produce the same execution record structure.

  • Centralized identity and access

    SSO, MFA and role-based access apply consistently, rather than being configured per tool.

  • Change history for shared workflows

    When a shared workflow changes, the version in force at the time of a given execution remains available for review.

Consolidation is incremental, not a cutover

Existing tools do not need to be decommissioned before Nexus starts. Departments typically move one workflow at a time, keeping legacy tools running for what has not yet been migrated.

Architecture session

Bring us the list of automation tools you are already paying for.

We will walk through which workflows can move onto one platform first, where integration can reach your core systems without touching their configuration, and where private AI can help without adding another vendor to govern.