AI Feature Integration
ForExisting products that need LLM chat, automation or agents.
- LLM chat, automation or agent workflow
- Guardrails and evals for reliable output
- Wired into your stack and data
- Tested and deployed
Nexera AI adds LLM chat, support agents, document search and workflow automation to your existing product, from $1,500 in 1–3 weeks. If the idea is risky, a 2-week PoC Sprint from $2,400 proves it works first. Every AI feature ships with guardrails, evals and tests, reviewed by a senior engineer.
LLM chat that answers from your data and uses tool calling to look up orders, book slots or open tickets, with a hand-off to a person when it should.
Retrieval-augmented generation (RAG) over manuals, policies, contracts or a knowledge base, with answers that cite the source passage.
AI that handles intake, triage, reporting and handoffs inside the tools your team already uses, such as email, Slack, a CRM or a helpdesk.
Multi-step agents built on a plan–act–verify loop, with limited tool access and human checkpoints before anything irreversible.
Input and output checks, plus an eval set of real examples that every change is scored against, so quality is measured rather than assumed.
AI providers on enterprise or API plans with training opt-out, never consumer chat apps. Your own accounts and keys, or self-hosted open-source models, on request.
An AI Feature Integration usually takes 1–3 weeks. Each Milestone gets a fixed price in writing before it starts.
A senior developer goes through the job you want AI to do, the data it needs and where it fits in your product. You get a Ballpark.
We collect real examples of good and bad output and write the spec the feature must meet. These become the acceptance criteria.
We build the feature, connect it to your stack and data, and add guardrails. Every change is scored against the eval set and reviewed before it merges.
Automated tests run on every commit, we deploy to production and monitor real usage. You get handover docs for the prompts, tools and evals.
An AI Feature Integration starts from $1,500 and takes 1–3 weeks. A PoC Sprint starts from $2,400 and takes 2 weeks. AI provider usage is billed to your own account, so you see the running cost directly.
ForExisting products that need LLM chat, automation or agents.
ForValidating one core idea or technical risk before a bigger build.
How pricing works. After the Scope Call you get a Ballpark. Each Milestone then gets a fixed Milestone Price in writing before it starts, and you pay per Milestone as working software is delivered.
| AI Feature Integration | PoC Sprint | |
|---|---|---|
| Best when | You know what the AI should do and need it live | You're not sure the idea works technically yet |
| Goal | A tested feature in production | A yes or no on one core risk, with evidence |
| Time | 1–3 weeks | 2 weeks |
| You get | Feature wired into your stack, tested and deployed | Working proof-of-concept in your repo plus written findings |
| Next step | A Support Plan or the next feature | A full build, or stopping before you spend more |
An AI Feature Integration with Nexera AI starts from $1,500 and takes 1–3 weeks. The AI provider's usage fees are billed to your own account on top.
Usually 1–3 weeks for a chat or support agent that answers from your data and is wired into your product, including guardrails, evals and tests.
A PoC Sprint is a 2-week Package from $2,400 that proves one core idea or technical risk works before a bigger build. You get a working proof-of-concept in your repo and written findings on what works, the risks and next steps.
No. We only use AI providers on enterprise or API plans with training opt-out, never consumer chat apps. On request we use your own accounts and keys, or self-hosted open-source models.
Every AI feature has an eval set of real examples that each change is scored against, plus guardrails on input and output. A senior developer reviews every change, and high-risk actions get a human checkpoint.
We pick per feature from mainstream providers such as OpenAI and Anthropic Claude, or open-source models when data has to stay on your own servers. The choice is written into the spec so you can change it later.
Yes. Workflow automation runs inside the tools your team already uses, such as email, Slack, a CRM or a helpdesk, and hands work back to a person where a decision is needed.
Start with a free 30-minute Scope Call with a senior developer. You leave with a Ballpark and a clear choice between an AI Feature Integration and a PoC Sprint.
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