AI consulting
Prioritise use cases around business value, data access and implementation requirements; define the pilot and evaluation criteria.
Elmalı Tech / Services
AI consulting and automation connected to everyday work.
We develop enterprise-specific AI workflows for research, document processing, reporting and decision support. Each use case is designed together with data access, human review and existing systems.
01 / The need
Choose the right use case first.
We begin with the work to be done, rather than a list of tools. We define the input, expected output and evaluation method. Repetitive tasks are tested in a focused pilot; workflows that meet the agreed quality criteria can then become part of daily operations.
When it fits
- Extracting information from documents, meetings or notes
- Research and reporting using enterprise knowledge
- Decision support and next steps from sales conversations
- Automating manual work with explicit controls
02 / Scope
What we work on together.
Enterprise knowledge and documents
Search, summarisation and extraction using authorised data sources, with source checking built into the workflow.
Sales and decision support
Support systems that identify pivotal moments, missing questions and next steps from meeting recordings and notes.
Business process automation
AI workflows connected to ERP, CRM and other applications, with explicit human approval, access boundaries and failure handling where required.
03 / Delivery
Clear steps, working deliveries.
- 01
Assess the work and data
Review the repetitive task, data sources, access permissions and expected output.
- 02
Design a pilot
Select a focused use case, evaluation examples and human review points.
- 03
Develop and measure
Build the workflow and assess output quality, failure types, operating cost and user feedback.
- 04
Integrate and improve
Connect suitable workflows to business systems and establish monitoring and reassessment.
04 / From our portfolio
S.I.R. AI
From customer conversations to sales and decision intelligence.
S.I.R. AI, featured in our portfolio, identifies pivotal moments, missing questions and next steps from meeting recordings and notes. It connects the S.I.R. Tool with personalised S.I.R. Training in one development loop.
Explore the project ↗05 / Questions
Before we start.
How should we start an AI project?
Choose one frequent task whose output can be checked. We review examples, data sources and success expectations to define a pilot. Its results inform the next investment decision.
How are enterprise data and access permissions handled?
Processing locations, retention conditions and provider selection are determined in the project design. User permissions and access boundaries are part of the integration, and steps requiring human approval are defined explicitly.
How do you evaluate AI output accuracy?
We define expected outputs and representative examples before the pilot starts. Source checks, user evaluation and failure scenarios inform the quality assessment. A workflow is not deployed independently for critical decisions before it meets the required quality criteria.
Next step
Let's choose your first AI use case.
Describe the repetitive task, the data you use and the output you need. Our teams working from Izmir and Istanbul can define a practical pilot for organisations across Türkiye.
contact@elmalitech.com