AI Integrations

Practical AI, not a chatbot bolted on.

LLM-powered features embedded into real workflows: support, search, drafting and decisioning tools your team will actually use.

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Refund rate is 2.1%, down from 3.4%last month — mostly shipping delays.Want me to draft a summary for the team?

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Grounded in your data

Live data, not a demo

reads your real systems

70%

Faster response times on support & search

40+

LLM features shipped to production

3-6 wks

To your first AI feature live

24/7

Always-on, monitored AI systems

What's included

AI that fits your stack. One accountable team.

No black-box bots. Every agent and integration we build is transparent, monitored, and built around your existing tools and data.

AI Agents & Copilots

Purpose-built assistants embedded in your tools that draft, search, decide and escalate — not a chatbot bolted onto a FAQ.

Custom LLM Integrations

Retrieval, fine-tuning and prompt systems built around your data — not a generic wrapper around a public chatbot.

Retrieval & Search (RAG)

Your docs, tickets and internal knowledge, made searchable in natural language with answers grounded in real sources.

Support & Drafting Tools

Draft replies, summaries and first-pass content that your team reviews and sends — cutting the blank-page problem out entirely.

Model & Provider Flexibility

OpenAI, Claude, or open-source models — we architect around your requirements, not a single vendor lock-in.

Human-in-the-Loop Safeguards

Confidence thresholds, audit trails and approval steps so AI accelerates your team without removing oversight.

Abstract illustration of an AI neural network

Human in the loop

AI you can trust, because you can see it.

Every AI feature ships with an audit trail — you can always see what it read and why it answered that way.

Confidence thresholds route anything uncertain to a human instead of guessing.

You keep full control: adjust prompts, swap models, or roll back any feature at any time.

Built on tools that scale

OpenAIClaudeLangChainPythonPineconeAWS LambdaVercel AI SDKRetoolOpenAIClaudeLangChainPythonPineconeAWS LambdaVercel AI SDKRetool

How we work

A Clear Process From Discovery to Ongoing Support

Discovery and Strategy

We establish your goals, users, requirements, and technical scope to give the project a clear direction.

UI/UX Design

We translate requirements into user journeys and interface designs for the website or product.

Development and Testing

We build the agreed functionality and test it throughout development.

Launch and Ongoing Support

We launch the product and provide maintenance and improvements within the agreed support scope.

Case studies

Case studies from real AI integrations

A closer look at how we've shipped AI features that hold up under real usage, with a human always able to step in.

AI Writing Assistant

Fiction Genie

Fiction Genie wanted an AI co-writing feature that felt like a collaborator, not a slot machine you pull for random paragraphs.

Challenge

An early generic-LLM integration produced generic, out-of-voice text that writers had to heavily rewrite, and there was no way to steer tone or keep continuity across a long draft.

Solution

We built a retrieval-grounded generation pipeline that references a writer's own prior chapters and style notes, with confidence-scored suggestions writers can accept, edit, or discard inline.

3.1x

More AI suggestions accepted as-is

58%

Reduction in editing time per chapter

40+

AI features shipped to production

OpenAILangChainPineconeVercel AI SDK

“Our first version of AI assist felt like generic autocomplete that ignored everything the writer had already built. This version actually remembers a character's voice three chapters back — that's the difference between a gimmick and a real tool.”

Renata Silva

Head of Product, Fiction Genie

AI Threat Detection

Chrono Shields

Chrono Shields needed its security analysts triaging thousands of daily alerts to spend their time on the handful that actually mattered.

Challenge

Analysts were manually reviewing every flagged event with no prioritization, and real threats were sometimes sitting in the queue for hours behind low-risk noise.

Solution

We built an AI triage layer that scores and summarizes each alert against historical incident data, with a confidence threshold that auto-closes clear false positives and escalates anything uncertain straight to a human.

70%

Faster response time on real threats

61%

Reduction in low-priority alert noise

24/7

Always-on monitored triage

ClaudePythonAWS LambdaPinecone

“Alert fatigue was a real risk to our team — when everything is urgent, nothing is. Now our analysts open their queue and the handful of things that actually need eyes are already sitting at the top.”

Owen Marsh

Director of Security Operations, Chrono Shields

AI Sales Assistant

Carsy

Carsy wanted an AI assistant that could answer inventory questions instantly, around the clock, without steering a single customer wrong on price or availability.

Challenge

After-hours inquiries about vehicle availability and pricing went unanswered until the next business day, and a generic chatbot pilot had already given customers outdated inventory information twice.

Solution

We built a RAG-grounded assistant that answers strictly from live inventory and pricing data, with a human-in-the-loop handoff for anything involving negotiation or financing.

24/7

Instant answers on live inventory

2.4x

More after-hours leads captured

Pricing errors since launch

OpenAILangChainRetool

“The dealbreaker for us was accuracy — one wrong price quoted to a customer costs more trust than the assistant is worth. It's been live for months without a single mistake like that, and it's caught leads we would have simply lost overnight.”

Felix Grant

General Manager, Carsy

AI Knowledge Search

NovaBase

NovaBase's support and onboarding teams were spending hours a day digging through scattered PDFs and wikis to answer basic client questions, so we built them a retrieval-grounded search layer over their own documentation.

Challenge

Internal knowledge was spread across a dozen PDFs, a wiki, and old email threads, so even experienced staff spent 10-15 minutes hunting down an answer that was, technically, already documented somewhere.

Solution

We indexed their entire knowledge base into a retrieval-grounded search assistant that answers in plain language and always cites the exact source document and page it pulled the answer from.

82%

Faster time-to-answer for support staff

3.4k+

Documents indexed and searchable

100%

Answers traceable to a cited source

OpenAILangChainPineconeRetool

“New hires used to take weeks to know where anything lived in our docs. Now they type the question the way they'd ask a coworker, and get the answer with the exact source attached — onboarding time has dropped noticeably.”

Layla Haddad

Head of Customer Success, NovaBase

AI Copilot

Arcadia

Arcadia's merchants were staring at the same revenue dashboard every morning without a clear next action, so we built an AI copilot that turns the data into a specific, one-click suggestion.

Challenge

The dashboard showed plenty of charts, but merchants had to manually piece together what the numbers meant and what to actually do about a slow week — most just closed the tab and moved on.

Solution

We added an AI copilot panel that reads the store's live data, answers follow-up questions in plain language, and proposes a specific next action — like a targeted campaign — with one click to launch it.

2.7x

More merchants acting on weekly insights

19%

Lift in campaigns launched from AI suggestions

<2s

Average copilot response time

OpenAIVercel AI SDKNode.jsRetool

“Merchants were drowning in charts but starving for a next step. The copilot doesn't just show them a number is down — it tells them what to do about it, and lets them just click to do it.”

Derek Boyle

Head of Growth, Arcadia

Client feedback

Trusted by teams who value the details.

“We had been putting off the website redesign for months because we thought it would be a huge project. Xperiode made the whole process much easier than expected. They understood what we needed and kept things moving without making it complicated.”

Sarah Mitchell

Marketing Manager

“Our previous site was slow and difficult to update. The new one feels much cleaner, works well on mobile, and our team can finally make changes without asking a developer every time.”

Daniel Roberts

Founder

“What stood out to us was how much time they spent understanding our business before jumping into the design. The final result feels like our brand rather than a template that was simply customized for us.”

Emily Carter

Business Owner

“Communication was probably the best part of working with the team. We always knew what was being worked on, what needed our input, and what was coming next.”

Michael Thompson

CEO

“We wanted something that looked better but was also easier for our customers to use. The new site has made a noticeable difference in how people move through the pages and find what they need.”

Jessica Williams

Operations Director

“We had a few specific features that we could not find in the usual off-the-shelf solutions. Xperiode took the time to understand the requirements and built exactly what we needed.”

David Wilson

Product Manager

“We spoke with a few different teams before starting the project. Xperiode stood out because they were willing to explain their recommendations instead of just telling us what we should do.”

Olivia Brown

Creative Director

“The biggest improvement for us has been the shopping experience. The old store felt a little clunky, while the new version makes it much easier for customers to browse and complete an order.”

James Anderson

Store Owner

“We worked with Xperiode on both the design and development, which made things much simpler on our side. There was one team to talk to throughout the project, and that made a big difference.”

Sophia Davis

Marketing Consultant

“The attention to the small details really stood out. Things like spacing, mobile layouts, and page speed were all taken seriously, and the finished site feels much more professional because of it.”

Ethan Miller

Managing Director

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Tell Us What Your Business Needs to Build

Planning a new website, software product, or a better way to manage daily operations? Tell us what you want to achieve, what is getting in the way, and your expected budget and timeline.

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Where we work

United States, Canada, United Kingdom, Australia, Europe

Response time

We typically respond to project inquiries within one business day.

Let's build something that lasts.

Tell us what you're building. We'll come back with a clear plan, not a pitch deck.

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