Generative AI Development Services That Turn Knowledge Into Revenue

EnactOn's generative AI development services take a use case from idea to measurable business impact: discovery, model selection, retrieval design, prompt engineering or fine-tuning, evaluation, guardrails, integration, deployment, and monitoring. Most projects fall into three patterns, which are knowledge assistants that cut search and support time, copilots that raise product value, and pipelines that produce documents at scale. We start with the pattern offering the clearest return and expand once results are proven.

EnactOn works with commercial models such as GPT, Claude, and Gemini, and with open models such as Llama when data control or running cost matters most. Rather than defaulting to one provider, we benchmark candidates on your real tasks for quality, latency, and cost per request. The winner sits behind an abstraction layer, so you can switch to better or cheaper models later without rebuilding, keeping both your options and your margins open.

EnactOn reduces hallucinations by grounding answers in your own data through retrieval-augmented generation, requiring citations, and having the system decline questions its sources cannot answer. Every release is scored against an evaluation set of real questions, so accuracy is measured rather than assumed. For high-stakes outputs, human review sits before anything reaches a customer, protecting both your users and your brand.

Sensitive data stays protected: EnactOn redacts personal information before it reaches a model, uses providers whose terms exclude training on your data, and limits retrieval to documents each user may access. When requirements are strict, we deploy open models inside your own cloud, so prompts and documents never leave your infrastructure. You gain the benefits of generative AI without trading away data control or compliance.

A generative AI proof of concept typically takes 4 to 6 weeks at EnactOn, giving you evidence on real data before a larger commitment. Adding a generative feature to an existing product takes several more weeks, and a full custom application such as a RAG assistant takes a few months. AI-assisted development shortens repetitive work, and weekly scored iterations keep stakeholders informed on both progress and spend.

EnactOn prices generative AI work by scope, starting at $5,000 for a focused proof of concept, with feature integrations and custom applications rising as data sources, users, and integrations grow. Every estimate also forecasts monthly model and hosting spend at expected usage, because running costs decide whether a generative product stays profitable. Pricing is itemized after discovery, so you can weigh each module against the value it creates.

Retrieval-augmented generation usually comes first, because it keeps answers tied to current information and costs far less to update than retraining. Fine-tuning earns its place when you need a consistent style, format, or specialized behavior that prompting cannot reliably deliver. Many production systems combine both. EnactOn tests the options on your data during discovery and chooses by measured results, so you pay only for complexity that improves outcomes.

EnactOn regularly adds generative features to existing products, which is often the fastest route to value because your users, data, and interface already exist. Typical additions include record summaries, drafted replies, plain-language search, and automated reports. We integrate through your current APIs and database, match your design, and add usage limits and logging, so the feature feels native and its costs stay within budget.

EnactOn transfers full ownership of the source code, prompts, evaluation sets, and any fine-tuned model weights at the end of the project. Model provider accounts stay in your name, so billing and access remain under your control and the asset stays with your business rather than a vendor. Most clients retain our team for monitoring and improvement, and full documentation means any future team can take over smoothly.