Form to CRM
Move leads, customer information, or orders from forms into CRM or case systems with validation and a review queue.
Service / Integrations
Integrations that make data flow correctly.
When the same information must be typed in several places, when reports are built by hand, and when AI tools lack context, the cause is often missing integrations. Aprex connects systems, APIs, webhooks, databases, forms, and internal tools so data flows where work actually happens. Good integrations are often the foundation for automation, reporting, AI solutions, and custom software. This page explains when you need integration, how Aprex maps and builds, and when you should choose something else.
Last updated: September 26, 2026
- 01
When do you need integration?
Integration is needed when the same information is registered in several places, when reports are built manually, when a system does not trigger the next step, or when AI and automation lack the right context. The goal is not just technical connection, but a more precise workflow. A good sign is employees with fixed weekly routines that only move data: exporting lists, copying fields, merging spreadsheets, or checking whether two systems agree. Another sign is decisions made on outdated figures because nobody trusts the systems to show the same thing. Aprex always starts by understanding which workflow the data should serve, not by connecting everything to everything.
- 02
APIs, webhooks, and data quality
A good integration clarifies which data should be read, written, or synchronized, how often it should happen, which fields are authoritative, and what happens when data is missing or wrong. Webhooks and queues can make the flow faster and more robust. Authoritative source means it is always defined which system holds the truth when two sources disagree; without that definition you only build uncertainty faster. Aprex validates fields on receipt, normalizes formats, handles duplicates, and logs every change with timestamp and source. That way errors can be traced back to their origin instead of spreading silently across systems.
- 03
Integrations for AI and automation
AI solutions improve when they can retrieve the right information and send results back to the right system. Aprex can build integrations that give internal copilots, document flows, or agents safe access to scoped data sources and controlled actions. For AI the same discipline applies as for other integrations, with one addition: the model should only see data it is allowed to see, and its suggestions should be approved before they are written back. Access is therefore scoped to the minimum the pilot needs, with read access before write access, and logging of both queries and answers so usage can be verified afterwards.
- 04
Error handling and traceability
Integrations must handle APIs being down, data formats changing, or users doing unexpected things. The solution should have logging, retries, alerts, manual review queues, and a clear owner for data quality. Retries with backoff handle brief outages without spamming the receiving system, while persistent failures escalate to humans with enough context to act. The review queue collects cases the integration does not dare decide itself, such as duplicates, conflicting values, or missing mandatory fields. The data quality owner is whoever decides when the rules must change, not whoever built the integration.
- 05
Three concrete flows as illustration
Illustration 1: New webshop orders are fetched every fifteen minutes, validated against the customer register, and created in the ERP with the right tax code and warehouse. Orders with unknown customers or incomplete addresses land in a review queue with an explanation. Illustration 2: When a case closes in the support system, a summary with time spent and category goes to the CRM, and the customer automatically gets a follow-up question. Failed transfers are retried and alerted on repeated failure. Illustration 3: Employee data syncs one way from HR to operations systems every night, with a full log of what changed. Access that should no longer apply is removed automatically and reported. These examples are illustrations, not descriptions of customer setups.
- 06
How we work, step by step
Step 1, mapping: Aprex documents the systems, data models, interfaces, and access that exist, and finds where manual copying happens today. The deliverable is an integration map with recommended connections in priority order. Step 2, scope: One integration is selected first. Data types, direction, frequency, authoritative source, and error handling are agreed in writing. Step 3, build: The connection is built with validation, normalization, logging, and a review queue, and tested against realistic data including known failure cases. Step 4, trial operation: The integration runs side by side with the manual routine until the figures agree and error rates are known. Step 5, operate and extend: The solution is monitored with alerts on errors and volume deviations, and more connections are added in priority order once the first is stable.
- 07
Typical systems and interfaces
The categories Aprex most often connects are CRM and case tools, ERP and accounting, HR and payroll systems, e-commerce and booking, forms and websites, document storage, email and SMS services, and BI and reporting tools. The technical interfaces are usually REST APIs with keys or OAuth, webhooks for events, database connections with read users, scheduled jobs for batch sync, and file exchange over SFTP or cloud storage where APIs are missing. The choice is driven by what the source system stably offers, how fresh the data must be, and how large the volumes are. Each connection is documented with owner, data types, frequency, and error routines.
- 08
When integration is the wrong choice
Integration fits poorly when systems lack stable interfaces and the vendor offers no API, export, or other safe data access. It also fits poorly when the data models differ so much that the connection needs constant manual interpretation, or when volumes are so low that a simple export routine is cheaper and safer. Sometimes the right answer is to replace or merge systems instead of integrating them. Aprex will say so when the mapping points there, and suggest a simpler data routine or a clearer system landscape before anything is built.
- 09
Proof from our own products
Aprex operates integrations in its own products with the same discipline as in customer deliveries. TapInn, which is in operation, is built to join larger workflows where check-ins, hours, and deviations can flow on to payroll, CRM, or reporting through documented integration points. 24AI and 24Markets are lab products that demonstrate data pipelines in practice: automated collection from many sources, normalization, deduplication, and publishing on fixed schedules, with logging of what was fetched and what failed. Farled is in pilot with no launch date decided, and explores integrations with forms, email, and invoicing where APIs and data processing allow it. Common to all is clear ownership of data quality and error flows humans can follow.
Overview
Typical integration work
These are common first projects when businesses want to reduce manual work and improve their data foundation.
ERP and reporting
Pull key figures, orders, products, or financial data into dashboards and recurring reports with visible sources.
Webhook flows
Start alerts, tasks, or approvals when an event happens in another system. Read how such flows are designed.
Read more →Data cleanup
Normalize fields, remove duplicates, and prepare data for reporting, automation, or AI.
AI context
Give copilots and RAG systems safe access to relevant documents, cases, or customer data.
Read more →Internal portal
Combine data from several systems in one work surface for users who need overview. Often built as a custom surface.
Read more →Automating manual routines
Once data flows, the routines around it can be automated with approval and logging.
Read more →Privacy in AI projects (resource)
What must be clarified on privacy before systems connect to AI.
Read more →FAQ
Integrations FAQ
- Can Aprex integrate with our system?
- Often yes, if the system has APIs, webhooks, database access, exports, or another safe data interface. First step is checking documentation, permissions, and data model in a mapping.
- What does an integration cost?
- Scope drives the work: number of systems, data types, sync direction, and error-handling needs. A one-way sync from one system is different from two-way sync between several systems with conflicting data. Aprex gives no fixed price without seeing the systems; the guide on what an AI pilot costs describes the same scoping mindset, and a mapping gives concrete ground for assessment.
- What if the system has no API?
- Then alternatives must be assessed: export/import, email flow, database connection, file exchange, or manual support. Direct integration without a stable interface can increase risk, and sometimes the right answer is to replace the system.
- API, webhooks, or batch sync?
- API polling fits simple lookups, webhooks fit events that need fast handling, and batch sync fits large volumes that tolerate delay. The choice depends on freshness needs, volume, and what the source system stably offers.
- How do we avoid bad data?
- Define the authoritative source, validate fields, log changes, handle duplicates, and add manual review for deviations. Trial operation side by side with the manual routine catches errors before they have consequences.
- Who owns data quality?
- The business, through a named owner per data domain. Aprex builds the tools - validation, logs, and review queue - but the rules for what is correct must be owned where the expertise sits.
- Is integration needed before AI?
- Not always, but practical AI often needs data from existing systems. A simple integration can be the difference between demo and useful operation.
- What happens when an API changes?
- Versioned APIs normally announce changes in advance. Aprex monitors integrations with alerts on errors and volume deviations, so breakage is found fast. Agreed operations and maintenance cover adaptation to announced changes.
Data foundation before automation
Aprex should not automate a process before the data flow is understood. Integrations must be built with clear ownership, error handling, and access so the system can operate without hidden manual work. Aprex therefore starts with mapping, builds one connection at a time, and lets trial operation show that the figures agree before the next connection is added.
Have systems that do not talk to each other?
Send a short overview of the systems, the data that must move, and what is done manually today.
Start integration mapping →