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AI Development Services

Which AI approach fits your problem?

AI projects go wrong when the approach is chosen before the problem is understood. This guide maps common business problems to the right approach, so you know whether you need retrieval, an agent, a fine-tuned model or a simple automation before you commit.

Match the problem to the approach

Start from the problem you have

Retrieval-augmented generation (RAG)

Your people cannot find answers buried in documents, wikis and tickets.

Best for

Questions that must be answered from your own content, with sources shown.

Explore RAG development

Multimodal RAG

The answers sit in scans, tables, charts and diagrams that text search cannot read.

Best for

Finance, engineering and compliance documents with complex layouts.

Explore multimodal RAG

AI agents

A well-bounded task needs several steps and tool calls, not just an answer.

Best for

Work a person repeats every day, with approval at the risky steps.

Explore AI agents

Multi-agent systems

One agent is overloaded because the task has stages that need independent checking.

Best for

Complex, multi-stage work where specialists plan, execute and review.

Explore multi-agent systems

AI SQL agents

Teams wait on analysts to answer simple questions about the data.

Best for

Self-serve questions over your own database, read-only and governed.

Explore AI SQL agents

Speech and audio AI

Calls, meetings and recordings hold knowledge nobody can search.

Best for

Transcription, speaker separation and analytics on real-world audio.

Explore speech and audio AI

LLM fine-tuning

Prompting and retrieval work, but the tone, format or cost per call does not.

Best for

High-volume, narrow tasks where consistent output matters.

Explore LLM fine-tuning

AI workflow automation

Repeatable operations across your CRM, email and documents need judgment at a few steps.

Best for

Processes with known steps where a model reads or decides at some of them.

Explore workflow automation

MCP integration

Your AI tools cannot safely reach your internal systems.

Best for

Connecting models to APIs and databases once, reused by every assistant.

Explore MCP integration

Nine AI services, one team

View all services

Each one is a standalone engagement or a building block in a larger system. Open a page for scope, stack, process and FAQs.

Questions about choosing an AI approach

Start with retrieval and good prompting. Fine-tune only when the task is narrow and high-volume and prompting still misses on format, tone or cost.

Not sure which approach fits?

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