Document and data extraction
Turn receipts, forms, reports, and other business documents into structured records that can be reviewed and used by existing systems.
AI integrations
Custom AI Integrations That Fit Your Existing Workflow
Agdali connects practical AI capabilities to the systems and processes your team already uses. We focus on bounded business tasks—such as reading documents, structuring data, assisting decisions, and reducing repetitive work—while keeping people in control of important outcomes.
Where an AI integration helps
The useful starting point is a specific bottleneck, not a generic request to add AI. These are the patterns we are equipped to investigate and build around.
- Teams repeatedly read, copy, classify, or validate information from documents and messages.
- Important knowledge is spread across tools, making reliable answers slow to assemble.
- A manual approval process needs automation without removing human oversight.
- An existing product needs a focused AI capability instead of a separate experimental tool.
What we can build
Connected assistants
Create task-specific assistants grounded in approved company information, with clear sources and boundaries for what they may do.
Workflow automation with review
Route AI output into queues, approvals, and exception handling so the team can verify uncertain or high-impact decisions.
AI features inside products
Add search, summarisation, classification, or generation to a web or mobile product without forcing users into another interface.
How we deliver an AI integration
- 01
Define the decision and the evidence
We map the inputs, desired output, failure cost, privacy constraints, and the person responsible for the final decision.
- 02
Prove the narrow workflow
We test representative examples and edge cases before expanding scope, so feasibility is based on your actual material.
- 03
Integrate, observe, and improve
We connect the approved workflow to the right systems, record useful quality signals, and refine it with real operational feedback.
Relevant work
Baumit Klub: one photograph instead of repeated data entry
See how receipt extraction, structured data, and an administrator review queue became one connected commercial workflow.
Read the Baumit case studyAI integration questions
Do we need to replace our current software?
Usually not. The first option is to connect to the systems that already own the workflow and data. Replacement only makes sense when the current product cannot support the required process safely or reliably.
Can people review AI output before it is used?
Yes. Review queues, confidence thresholds, audit trails, and exception handling can be designed into the workflow from the start.
Which AI model do you use?
The model is selected after the task, data, latency, privacy, and cost constraints are clear. The integration is designed around the business requirement rather than a single model brand.
Related services
Have a repetitive workflow worth testing?
Show us the inputs, the current steps, and what a reliable outcome looks like. We will help you identify a sensible first integration.