AI and automation

AI Development Services: Agents, Chatbots and Automation Built for Your Business

We provide custom AI development for business, building and integrating AI solutions for business that do real work: answering customers, handling calls, routing documents and automating routine steps. Our AI development services start with a short assessment, a written scope and a fixed price, and AI integration starts from $1,400 per project.

500+ projects delivered
98% success rate
24/7 client support
Free first audit
What we do

AI development services we deliver

Each service solves a specific job, from a single assistant to a connected set of AI tools. We pick the smallest solution that meets the goal.

AI agents

Agentic AI: software agents that read context, call your tools and finish multi-step tasks, with limits and human review where it matters.

AI chatbots

AI chatbot development: assistants for support and sales that answer from your own documents and hand over to a person when needed.

Voice AI

Voice agents (generative AI development for speech) that answer and place calls, qualify leads and book appointments in natural speech.

Workflow automation

AI automation services and RPA services: routine processes between your CRM, inbox, spreadsheets and ERP automated, with AI where judgment is needed.

AI integration

AI integration services: models connected to your existing systems and data through secure interfaces, without rebuilding what works.

AI consulting

A readiness check, a ranked list of use cases and a roadmap, so you start where the return is clearest.

Why LinkAgency

Why companies build AI with us

Most AI projects stall between a demo and production. We plan for production from the first week.

Published starting price

AI integration starts from $1,400 per project, with a written scope and a fixed price agreed before work begins.

Your data stays yours

We work with access controls, logging and clear rules on what leaves your systems, and we can use private deployments.

Engineers who ship

The same team builds the model layer, the integrations and the interface. See web application development for the product around it.

Measured against a goal

Each solution has a target such as response time, cost per ticket or hours saved, and we report against it.

How we work

How an AI project runs from idea to production

01

Assessment

We map use cases, data and systems, then rank them by value and effort.

02

Pilot

A small working version, an AI proof of concept, proves the idea on real data within weeks.

03

Build and integrate

We build the full solution, connect it to your systems and set up monitoring.

04

Launch and improve

We launch, measure results and tune prompts, data and rules as usage grows.

Start with the free audit
Cost and timeline

Which AI solution fits which job

AI development cost follows scope, so start from the task, not from the technology. This is how we usually match them.

Job to be doneSolutionTypical result
Answer repeat customer questionsAI chatbot on your knowledge baseFewer tickets, faster replies
Handle inbound and outbound callsAI voice agent or AI copilotCalls answered around the clock
Complete multi-step tasks across toolsAI agent or AI app developmentLess manual work per task
Remove routine between systemsWorkflow automationHours saved each week

AI works best on narrow, repeatable tasks with clear data. We say upfront when a rule-based automation is cheaper and enough.

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Method

What good AI development looks like in practice

Good AI development starts with a business problem, not a model. We ask what task costs time or money today, what data exists and what a correct answer looks like. Many requests turn out to need a retrieval layer over documents, a reliable integration or a plain automation rather than anything exotic, and we say so. Where a language model is the right tool, we design the prompts, the retrieval and the guardrails together.

People search for this work as an AI development company, an AI development agency, machine learning development, LLM development, AI software development, custom AI solutions or AI consulting and integration, and the scope is similar: assessment, build, integration and support. We cover generative AI and LLM applications, retrieval-augmented generation over your documents, AI agents that use tools, and classic machine learning where it fits. Evaluation matters: we test with real examples, track accuracy and cost per request, and set fallbacks so a bad answer does not reach a customer.

Security and cost are part of the design. We keep secrets out of prompts, log requests for audit, limit what an agent can do and choose models by price and quality for each step. AI product development usually begins as an AI MVP: many projects start as a pilot of two to four weeks and grow once the result is clear. If you only need one piece, such as a chatbot or a voice agent, start there. The same team can also build the web app or portal that the AI tool lives in.

Under the hood we use retrieval-augmented generation (RAG), prompt engineering and, when needed, fine-tuning, with NLP components for classification and extraction. Everything is exposed through an API, watched with MLOps practices and fed by a clean data pipeline, and we always start from a proof of concept. Our AI development work continues after launch as managed services, and companies that hire AI developers from us keep the same team from pilot to release.

Vadym Tretiak
500+ Projects
98% Success Rate
24/7 Support
Before you ask

Questions we get on the first call

Do you build AI for healthcare, fintech or AI as a service?

Yes. AI for healthcare and AI for fintech need extra care with privacy and audit trails, and we plan for that in the assessment. AI as a service means we run and monitor the solution after launch, so your team does not carry the maintenance.

What are AI development services?

They cover designing, building, integrating and supporting AI solutions such as agents, chatbots, voice assistants and automations that work on your data and systems.

How much does AI development cost?

AI integration starts from $1,400 per project. Larger builds depend on scope, data and integrations, and we agree on a fixed price in writing after a short assessment.

How long does an AI project take?

A pilot usually takes two to four weeks, and a production version takes several weeks more depending on integrations.

Can you integrate AI with our existing systems?

Yes. We connect AI to CRMs, help desks, ERPs, databases and internal tools through secure interfaces.

Is our data safe?

We use access controls, logging and clear rules on what leaves your systems, and we can use private or self-hosted models when required.

Do we need our own data scientists?

No. We handle the model, the integration and the monitoring, and we hand over documentation so your team can maintain it.

How do I start?

Describe the task or send a short brief, or ask for the free assessment. You get a scope, a price and a pilot plan, usually within a few days.

Start here

Tell us the task. We will tell you whether AI is the right fix.

The first assessment is free and yours to keep. Get AI development services with a written scope, a fixed price and a working pilot.

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