AI Automation & Integration

Automate the work between your systems, not around them

Workflow automation and AI orchestration across the ERP, WMS, TMS and CRM you already run. We fix the process first, then automate it, then connect it. 4,000+ integrations completed since 2012.

AI Automation & Integration is the Erbis service for automating workflows and connecting them across ERP, WMS, TMS, CRM and carrier systems, with AI handling documents, exceptions and decisions inside the flow. It is for operations leaders whose teams re-key data between systems that do not talk to each other. A typical engagement removes 55–80% of the manual effort.

system integrations completed
4,000+
efficiency gain in a typical engagement
55–80%
saved for a global TMS and its customers through 60+ carrier integrations
$10M+/yr
less manual work with AI invoice processing
15x
The problem

Why automation projects stall on the systems around them

Foundry’s 2026 AI Priorities survey lists high integration cost (36%) and lack of in-house deployment expertise (33%) among the top barriers to AI in production. In logistics the picture is sharper: Inbound Logistics’ 2026 survey found “deploying AI” is the number one shipper challenge, named by 73%, while the typical 3PL already runs a TMS (87%), a visibility platform (83%), ERP integration (73%) and a WMS (72%). The automation has to fit between those systems or it does not run.

Most automation fails before the technology. Digitizing a broken process produces a faster broken process. A bot that re-keys data between two systems is cheaper than a person until a vendor changes an API without notice. Gartner attributes the 30% of GenAI projects abandoned after proof of concept to poor data quality, inadequate risk controls, escalating costs and unclear value: four problems of process and integration, not of models.

Erbis has connected 4,000+ systems since 2012, including 60+ carrier APIs across EDI, REST, SOAP and XML for a single global TMS. We start by fixing what is broken, then automate what is left, then put AI on the exceptions that used to need a person. We do not resell an RPA platform, and we do not automate a process we have not mapped.

What we do

Capabilities

Process assessment and optimization

We map how work actually happens, including exceptions and unwritten rules, before a line of automation is written.

  • Task-level process mapping with owners, volumes, cycle times and exception categories
  • Technology assessment of the systems, data and integrations already in place
  • Removal of redundant steps and approvals before anything is automated
  • A measured baseline in hours and money, so the gain can be counted afterwards

Workflow automation

Automation of the repetitive work between systems: order entry, invoice processing, status updates, reporting.

  • Document workflows: invoices at ~95% straight-through, contracts generated 10x faster
  • Order-to-cash and procure-to-pay steps across ERP, CRM and finance systems
  • Automatic bids, shipment status sync and exception handling in TMS and WMS
  • Scheduled and event-driven reporting that replaces manual spreadsheets

System integration

ERP, WMS, TMS, CRM, carriers, marketplaces and identity providers, whatever protocol they speak.

  • API, EDI, SOAP, XML and file-based integrations, with test environments built when a partner has none
  • 60+ shipping carriers integrated and maintained across 30+ countries
  • Event bus and queue design (Kafka, webhooks, background jobs) for near-real-time sync
  • Versioning and monitoring so unannounced partner API changes do not stop operations
  • Single sign-on across partner networks: 500+ organizations and 50K monthly users on one Keycloak SSO

AI orchestration inside the workflow

AI where a person used to read, classify, decide or escalate. Not a chatbot bolted to the side.

  • Document extraction and classification with confidence gates and human review
  • Agents that update systems of record and escalate on low confidence
  • Error interpretation and triage for integration failures
  • Forecasting and ETA prediction fed back into planning systems

Supply chain systems

Custom and extended TMS, WMS, OMS, IMS and fleet systems, built on a supply chain track record of more than a decade.

  • Price calculation, loading and routing, shipment tracking, returns and inventory
  • Custom TMS, WMS, OMS, IMS, FMS and ELD software, or extensions to what you run
  • Carrier and marketplace connectivity, rate shopping and automatic bids
  • Analytics and demand forecasting on top of the operational data
  • Platform re-architecture for scale: 99.999% uptime for a Fortune 500 supply chain platform

Software reengineering and third-party fit

If a market product is the right answer, we recommend and integrate it. If your own software is the bottleneck, we rebuild the part that is.

  • Audit of current software use; recommendation of off-the-shelf tools where they fit
  • Reengineering of legacy modules that block automation
  • Migration of paper and email workflows to structured, auditable ones
  • Change management: documentation, training and adoption tracking
In production

How it runs in production

Automation that saves money in month one and breaks in month six is a cost. Four things are in place before we hand over.

01

Data governance

Every integration has a named data owner, a field-level mapping and a retention rule. Credentials live in a vault, rotated and scoped per system. PII is masked in logs. Cross-border data flows are documented for GDPR and, where relevant, HIPAA.

02

Evaluation and testing

Contract tests on every integration, replayed against partner sandboxes or the test environments we build when a partner has none. AI steps carry an eval set drawn from your own documents and a confidence threshold, tuned so that straight-through rate and error rate are both measured, not assumed.

03

Observability and cost

Every message, job and model call is traced end to end. Dashboards show volume, latency, failure rate and cost per transaction for each integration. Alerts route to the team that owns the process, not only to engineering. Partner API changes are detected before users notice.

04

Integration and handover

Integrations are versioned, documented and owned by you. We hand over runbooks, a partner-onboarding playbook and monitoring, and train your team. Ongoing maintenance is available under SLA; for one global TMS we have maintained carrier connections for more than a decade.

Proof

What we have built

All case studies

How it works

How we work with you

  1. 01

    Assess

    Two weeks. We analyze digital maturity, map the target processes at task level and set the metric: hours per transaction, cost per shipment, days to invoice. Output: a roadmap, an integration inventory and a fixed price for the first phase.

  2. 02

    Fix the process

    Before automating, we remove the steps that should not exist: redundant approvals, duplicate data entry, exceptions that became routine. Digitizing an inefficient process only makes the inefficiency faster. Stakeholders sign off on the redesigned flow.

  3. 03

    Automate and integrate

    Tools chosen fit for purpose, not just fit for use. Integrations built and tested against partner sandboxes; AI steps added where a person used to read or decide, behind a confidence gate. First working flow in 2 weeks, then two-week sprints with a demo at the end of each.

  4. 04

    Adopt and optimize

    Documentation, training and adoption tracking so the process is used, not just built. We monitor results, gather feedback and tune thresholds and mappings. Most clients keep us on: 89% stay longer than 12 months.

Stack

Technologies we build with

Integration

  • REST APIs
  • EDI
  • SOAP and XML
  • Apache Kafka
  • AWS Lambda
  • Message queues and webhooks
  • Java and Spring

Systems we connect

  • Carrier APIs: DHL, FedEx, UPS, USPS, DPD, DSV, Flexport and 50+ more
  • ERP: SAP, Oracle
  • Identity: Okta, Microsoft, Google, Keycloak
  • Custom TMS, WMS, OMS and ERP

AI in the flow

  • Anthropic Claude
  • OpenAI
  • Google Gemini
  • Amazon Bedrock
  • Amazon Textract
  • SageMaker Ground Truth
  • LangGraph

Data and platform

  • PostgreSQL
  • Amazon Redshift
  • AWS Glue
  • Apache Airflow
  • Python
  • Kubernetes
  • Terraform
FAQ

AI Automation & Integration: questions we get asked

What is business process automation, and why is it important?

Business process automation replaces the manual steps between systems with software: capturing an invoice from an inbox, entering it into the ERP, matching it against a purchase order, routing exceptions to a person. It matters because those steps are where the hours go. In our engagements, automating a mapped process typically removes 55–80% of the manual effort; one AI invoice pipeline cut manual work 15x across 10+ companies. The condition is that the process is fixed before it is automated.

Can you integrate with our existing ERP, WMS, TMS or CRM?

Yes. Integration is the core of the service. We connect through APIs where they exist and through EDI, SOAP, XML, database replication or file exchange where they do not, and we build test environments for partners that have none. Erbis has completed 4,000+ integrations, including 60+ shipping carriers for one global TMS. Legacy or undocumented systems take longer to integrate; they do not stop the project.

How does robotic process automation (RPA) fit with AI automation?

RPA scripts a person’s clicks; it is quick to deploy and fragile when a screen or API changes. We use it as a bridge for systems with no interface, not as the foundation. Durable automation runs through APIs and events, with AI handling the steps RPA cannot: reading unstructured documents, classifying exceptions, deciding when to escalate. We do not resell an RPA platform, so the recommendation is not tied to a license.

How long does an automation and integration project take?

Assessment takes about two weeks and produces a roadmap with a fixed price for the first phase. The first working flow is demonstrated within 2 weeks of build start. A single integration or automated workflow typically goes live in one to three months; a new carrier integration takes one to three months depending on the carrier’s API. Multi-system programs run in two-week sprints, each ending with something in production.

How do you ensure the security of our data across integrated systems?

Credentials are stored in a vault, rotated and scoped to the minimum each integration needs. Data in transit is encrypted, PII is masked in logs, and every message and model call is traced for audit. Cross-border flows are documented for GDPR and HIPAA where relevant. Erbis is ISO 27001 certified; engineers work under NDAs and IP-assignment agreements, and the work is delivered under a “work made for hire” contract with our US company.

Do you provide post-launch support and maintenance?

Yes, under an SLA that covers monitoring, partner API changes, threshold tuning and new integrations. Integrations are versioned and documented so your team can maintain them too; we hand over runbooks and a partner-onboarding playbook and train your engineers. Most clients keep us on: 89% stay longer than 12 months, and one supply chain platform has been in continuous operation with us for more than ten years.

Start with the process that costs the most

Bring the workflow with the most re-keying, the most exceptions or the most vendors. We will map it, price the fix and tell you what not to automate.

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