What we do

Data & Integration

Connect the systems your business depends on, and turn scattered operational data into information teams can work from.

The problem

Where organizations get stuck

Data is re-keyed between tools, reports disagree, and assembling "the numbers" takes days. Every new integration is a project of its own, and AI efforts stall on data quality that no one owns.

The outcome

Reliable flows of data across applications and processes, and one dependable version of the numbers — data people trust and AI can actually use.

How Ayeim approaches it

A deliberate path, not a big-bang programme

  1. Map how data moves today and where it breaks.
  2. Build integration as a layer, not point-to-point wiring that compounds.
  3. Establish ownership, quality checks and lineage.
  4. Expose clean, documented data for analytics and AI.

What's included

Where Ayeim helps

System and API integration across the estate

Event-driven data exchange and interoperability

Data pipelines and ELT

Data warehouse and lakehouse modeling

Operational and executive dashboards

Data quality, lineage and governance

AI-ready data foundations

Healthcare and industry standards (FHIR, HL7, X12) where relevant

Technology

What we build with

Technology supports the outcome. We choose it to fit your estate and your team, not the other way round.

  • REST and GraphQL
  • Webhooks and message queues
  • iPaaS and integration engines
  • PostgreSQL, BigQuery, Snowflake
  • dbt and Airflow
  • FHIR R4, HL7 v2

Proof

Case studies: data & integration in practice

Healthcare

Ending the 6-Hour-a-Week Data Shuffle

A four-location aesthetics and med-spa group was running charting, billing, accounting, injectable inventory and SMS reminders on separate tools. We removed the underlying problem — no single source of truth — and cut 6–8 hours of manual data movement a week.

  • Healthcare Technology
  • Data & Integration
  • OpenEMR Services
Read the Ending the 6-Hour-a-Week Data Shuffle case study
Healthcare

Turning Clinical Data Into Actionable Care Workflows

The information clinicians and managers needed was already in the EMR, but spread across screens. Ayeim built a dedicated microservice that processes patient activity, messages, schedules, severity and RAF-related information into two prioritized dashboards — one for clinicians, one for managers.

  • Healthcare Technology
  • Data & Integration
  • Product Engineering
Read the Turning Clinical Data Into Actionable Care Workflows case study
Enterprise

From Remote Paper Surveys to Connected Field Operations

An NGO was running structured surveys in remote areas with no reliable internet, on paper — collected by hand, entered or scanned later at the head office. Ayeim built an offline-first hybrid tablet application that lets field staff complete assigned surveys with no connection, with surveys and assignments syncing down and responses syncing up to the central system once the internet is available.

  • Digital Transformation
  • Product Engineering
  • Data & Integration
Read the From Remote Paper Surveys to Connected Field Operations case study

All case studies

Frequently asked questions

Either. We can run a full engagement or take a defined scope inside your existing team and roadmap.

With a short assessment — the Sense stage of how we work — to understand the business, systems, data and the highest-value opportunity.

Yes. Integration is core to how Ayeim works — APIs, events and standards such as FHIR and HL7 where relevant.

Next step

Talk to Ayeim about data & integration

Tell us where complexity is slowing you down. We will help you work out what should change, what should stay, and where technology creates real value.