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Neuralex Labs

AI engineering service

Connect AI to the systems where your business actually runs.

We integrate AI capabilities into your CRM, ERP, help desk, databases, and internal applications — through secure APIs, webhooks, and middleware — so intelligence is available where decisions are made.

Plan an integrationHow we work

The problem

AI that cannot reach your systems cannot do much.

The value of AI depends on what it can read and what it is allowed to change. Without solid integrations, AI stays a separate tool and people become the glue.

What we typically hear

  • AI tools are disconnected from core business systems.
  • Legacy systems lack modern APIs.
  • Each team has built its own fragile integration.
  • No central control over what AI can access.
  • Rate limits and outages are not handled.

What we build

What we build

API connectors

Typed, tested connectors to your CRM, ERP, help desk, storage, and communication tools.

Integration middleware

A service layer that mediates between AI components and business systems with consistent auth and logging.

Event handling

Webhooks and queues so AI reacts to changes as they happen.

Legacy bridges

Adapters for systems without APIs, using exports, database access, or controlled automation.

Access gateway

Central policy for which AI components may call which operations.

Monitoring

Health checks, error tracking, and usage dashboards across integrations.

Typical use cases

Where this work pays off

CRM enrichment

01

AI updates contact and account records from emails, calls, and research.

Help desk augmentation

02

Ticket classification, summaries, and suggested replies written back into the help desk.

ERP data entry

03

Structured data extracted from documents and posted to the ERP after validation.

Product integration

04

AI services exposed through your own API for use across your products.

Architecture

An integration request path

  1. 1

    Request

    An agent or feature needs data or an action.

  2. 2

    Authorize

    The gateway checks policy and scope.

  3. 3

    Call

    The connector performs the operation.

  4. 4

    Log

    Inputs, outputs, and status are recorded.

  5. 5Human

    Alert

    Failures notify the owning team.

AI components never talk to business systems directly; every call passes through a controlled layer.

Technology considerations

Decisions we make with you

Technology choices follow from the workflow, data, and constraints — not the other way around.

Protocols

REST, GraphQL, webhooks, message queues, and the Model Context Protocol where appropriate.

Authentication

OAuth, service accounts, and short-lived tokens with secrets kept in a managed vault.

Resilience

Retries with backoff, circuit breakers, and graceful degradation when a system is unavailable.

Data mapping

Explicit schemas and transformations so data means the same thing across systems.

Delivery

How the engagement runs

  1. 01

    System inventory

    List systems, APIs, owners, and constraints.

  2. 02

    Integration design

    Define data flows, permissions, and failure handling.

  3. 03

    Build

    Implement connectors and middleware with tests.

  4. 04

    Staging validation

    Test against sandbox or staging environments.

  5. 05

    Production rollout

    Deploy with monitoring and runbooks.

Security & governance

Control is designed in, not added later.

Every system we deliver includes the controls below as a baseline. Specific compliance requirements are scoped with your team.

  • Least-privilege service accounts per integration
  • Environment separation between development, staging, and production
  • Secrets in a managed vault with rotation
  • Audit trail of every write operation
  • Data minimization — only required fields are passed to models
Read our security & governance approach

FAQ

Frequently asked questions

01Which systems can you integrate with?

Any system with an API, webhook support, or database access. Common examples include CRMs, help desks, accounting tools, communication platforms, and custom internal applications.

02What if our system has no API?

We assess options such as scheduled exports, read-only database access, or controlled automation, and recommend the most reliable and supportable route.

03Will AI have write access to our systems?

Only where needed and only for specific operations. Most integrations start read-only, and write access is granted per operation with logging and, where appropriate, approval.

Related reading

Go deeper on this topic

Related services

Often delivered together

AI

Agentic AI Development

Agentic AI development by Neuralex Labs: production AI agents with scoped permissions, approval gates, audit logs, and evaluations, built around your workflows.

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AI Automation Engineering

AI automation engineering from Neuralex Labs: reliable workflows that use AI for documents, classification, and extraction, with human review built in.

Engineering

Web & Application Development

Web application development by Neuralex Labs: internal tools, portals, and customer-facing apps built with Next.js, React, TypeScript, and Python.

Next step

Bring us the process your team is tired of doing manually.

A strategy call is a working conversation about one workflow: what it involves today, what could be automated, and what a first build would look like.

Plan an integrationSee how we work

What happens next

  1. 1Tell us about one workflow
  2. 2We review it before replying
  3. 3A working session, then a first-build proposal