OpenAI and LLM integration for existing software

Invogue Solutions adds large language models such as OpenAI GPT, Anthropic Claude and Google Gemini to the software you already run, including CRMs, customer portals, SaaS products and internal tools, for search, summarisation, content generation, classification and recommendations. We handle the API integration, prompt engineering, data pipelines, security and cost control.

Who this is for

SaaS founders, product teams and SMBs in the USA and UK with an existing web or mobile application who want AI features without rebuilding, plus agencies adding AI to client products.

Who this is for

Feature scoping: which AI features will move your metrics, and which won’t

API integration with OpenAI, Anthropic, Google or open-source models

Retrieval-augmented generation (RAG) over your own data with vector search

Prompt engineering, evaluation and versioning

Guardrails, content filtering and PII handling

Cost monitoring, caching and rate limiting

Front-end UI for the AI feature in React, Vue, Angular or Flutter

From first call to launch in four steps

AI opportunity audit (free).

We map where your team spends repetitive hours and estimate the time and cost you’d recover.

Pilot (2–4 weeks, fixed price).

One workflow, your real data, a measurable outcome before you commit further.

Production build.

Security, monitoring, logging, human hand-off and integration with your existing systems.

Ongoing improvement.

Monthly tuning as your data, prompts and business rules change.

Technology we use

Pricing

Integration projects start at [$X] fixed price; most take three to eight weeks. Hourly at $45 for ongoing feature work. See all engagement models and pricing.

Proof

[Client type, industry]: [e.g. ‘Added AI summaries and semantic search to a property CRM used by 40 agents.’]

Frequently asked questions

Can you add AI to our existing app without rebuilding it?

Yes. We integrate at the API and database level and add the UI where needed. Your existing codebase in .NET, Laravel, Node.js, React, Flutter or WordPress stays in place.

OpenAI, Claude or Gemini: which should we use?

It depends on the task, cost, latency and data-handling requirements. We benchmark options during the pilot and often use more than one model.

What is RAG and do we need it?

Retrieval-augmented generation lets the model answer from your own documents and data instead of general knowledge. You need it whenever accuracy about your business matters.

How do you control API costs?

Caching, model selection per task, prompt optimisation, usage limits and monitoring dashboards. We estimate monthly cost before you commit.

Is our data sent to OpenAI used for training?

No. We use API tiers where data is not used for training and can enable zero-data-retention options or deploy open-source models on your own infrastructure.

AI development

practical AI for businesses without a data-science team.

OpenAI and LLM integration for existing software

Who this is for

Who this is for