AI Transformation Services

End to End AI Transformation

At Neon Apps, AI transformation is one of our core services.

We provide a full AI transformation service covering everything from defining where artificial intelligence fits in your business to building and deploying production grade systems inside your environment. Our team handles strategy, solution architecture, model selection, integration, security, deployment and ongoing support, so you receive complete systems rather than a roadmap document.

Every engagement begins with understanding your operations, your data and the problems worth solving. From there we design and implement solutions that are measured by the same metrics your business already runs on cycle time, accuracy, deflection rate, throughput not by slide counts.

Embedded Discovery and Needs Assessment

Before any strategy or roadmap is drawn, our team spends real time inside your business.

Our team embeds with your operations for an initial discovery period. We sit in on meetings, walk through workflows with the people who run them, observe how decisions are actually made, and review the data that drives the business. This is not a survey or a stakeholder interview round it is hands on time spent inside real operations.

From this period of observation we surface the opportunities where artificial intelligence can genuinely move the business, the constraints that need to be respected, and the dependencies an outside consultant would otherwise miss. The output feeds directly into the strategy phase.

• Operating team interviews and process walk throughs across functions

• Workflow and decision mapping in real working conditions

• Data inventory, system inventory and constraint mapping

• Identification of opportunities only visible from inside the operation

• Stakeholder alignment and shared problem statements before any build

AI Strategy, Use Case Mapping and Roadmap

Most AI projects fail because the wrong problem is chosen first.

We map your operations against the patterns artificial intelligence is reliably good at today, score them on business value and feasibility, and build a 12 month roadmap that sequences delivery in the right order. The output is a working plan not a slide deck designed to be executed, by us or by your internal team.

The work is hands on. We sit with your teams, review processes and data, and produce a prioritised use case map alongside business cases for the highest impact opportunities.

• AI maturity assessment across data, tooling, process and team capability

• Prioritised use case map scored on business value and feasibility

• Business cases with scope, integrations, ownership and 12 month timelines

• Vendor and model selection guidance open source, commercial, in house

AI Implementation: Custom Systems, Models and Agents

Once the roadmap is set, our engineering team builds the systems themselves.

We work across the full AI delivery surface: large language model integrations, retrieval augmented generation, custom agents, classification and extraction pipelines, recommendation engines, and machine learning models trained on your data.

Common patterns we deliver include customer facing assistants that handle support and operations queries in real Turkish, internal knowledge assistants that answer from your policies and contracts, document processing pipelines that extract and route work without manual review, sales proposal generators, and reporting systems that compile and explain operational data overnight.

• LLM powered assistants for customer service, sales and internal operations

• Retrieval augmented generation systems grounded in your real documents

• Document understanding pipelines for compliance, legal and HR workflows

• Custom machine learning models trained on your business data

• Workflow automation and agentic systems integrated with your existing stack

A Dedicated In House Team

Every AI transformation engagement is delivered by a dedicated cross functional team typically around ten specialists assigned to your business for the duration of the work.

The composition is scoped to the use cases identified, but always includes a senior project manager and strategy lead alongside the engineering and design specialists who do the work.

There is no rotation, no offshoring and no junior shuffle. The same engineers and designers who scope the system are the ones who build it, deploy it and stay through production handover. All 85 members of the team work in-house from our offices in Istanbul and New York.

• Senior project manager and strategy lead, dedicated full time

• AI / ML engineer with production deployment experience

• Full-stack and mobile engineers building inside your environment

• Product designer and UX researcher embedded with operations

• Data engineer for pipelines, integrations and observability

Production Operations and Continuous Improvement

AI systems are not finished when they ship they evolve.

After the first system is live, our team continues to monitor performance, refine prompts and models, ship the next use case in the roadmap, and adapt the solution as the business changes. Engagements are structured around outcomes that are tracked weekly and reviewed with your leadership on a regular cadence.

Code, infrastructure, prompts, models and the entire delivery are yours from day one. If you decide to bring the work fully in house, we hand it over cleanly and stay on call during the transition. Nothing is locked behind us.