We are not talking about an off-the-shelf chatbot, but an AI layer that works on your own data and produces measurable gains. We weave chatbots, customer assistants, document understanding (RAG), internal search and report generation into your organisation's processes — and the source code is 100% yours.
AI and LLM solutions are the custom software layer that combines large language models (Claude, OpenAI) with your organisation's own data, processes and language. A general-purpose chat tool does not know your product catalogue, your quote history, your technical documents or your quality records; it can only answer correctly once it can reach that knowledge. That is precisely the bridge we build: applications that connect the model to your data, find and summarise the right source, and integrate the result into your existing systems (ERP, CRM, email, website).
Why custom development? Because ready-made plug-ins usually move your data outside, do not understand your corporate terminology and do not fit your processes. In custom development we feed the model from your own document pool (RAG), show which source an answer rests on, enforce permission and confidentiality rules, and put in guardrails that limit hallucination. The goal is not show but measurable gain: shortening quote preparation time, resolving customer questions at first contact, reaching the right information across scattered documents in seconds rather than minutes.
At Pan Innovation House we design AI as a tool that goes into the work itself, not as dashboard decoration. Every solution is designed API-first, built to talk to your existing systems, and at handover all source code, prompts and configuration stay with you. You are not locked into a provider; you manage model costs, data flow and the future yourself.
For carpet, machinery, textile and food producers: an internal assistant that understands technical documents, machine manuals, quality records and production procedures. Staff on shift query a product recipe, a machine setting or a fault history and reach the right source in seconds.
Assistants that prepare international correspondence, quote and contract drafts in multiple languages and adapt product descriptions to each market. By summarising and classifying incoming email, they shorten the export team's response time.
A customer assistant that answers the recurring questions arriving via your website and WhatsApp (price, delivery, product specifications, order status) from your own knowledge base. Unresolved requests are passed to the right person with a proper summary.
For purchasing, finance, legal and tender teams: solutions that read and summarise contracts, invoices, quotes and reports, surfacing critical clauses and risks. Human approval always stays in the loop.
We develop chat assistants embedded in your website, WhatsApp, internal panel or mobile app that speak in your brand's voice, respect permission and confidentiality rules and hand over to a human when needed.
We index the corporate knowledge held in PDFs, Word and Excel files and databases and connect it to the model. Answers are grounded in a shown source, not made up; each is marked with the document it came from.
Corporate search that understands intent, beyond file names and keywords. Staff ask the question in their own words; the system returns a single correct answer compiled from scattered sources.
Flows that produce management summaries, quote text, product descriptions or periodic report drafts from raw data. The output arrives ready for human approval and removes the burden of writing from scratch.
Workflows that tag, route, summarise and forward incoming emails, requests and forms to the right team. Repetitive read-and-write work is delegated to the model, leaving the team free for decisions.
Solutions that talk to your ERP, CRM, email and web infrastructure over APIs. The information the assistant gives comes from real records; it does not just produce answers — it can trigger actions too.
Rules that limit hallucination, source attribution, usage and cost monitoring, masking of sensitive data. You can always see what the model said and what it based it on.
Together we identify which process stands to gain most from AI. We pin down your data sources, confidentiality requirements and the measure of success, and define the scope — without inventing figures.
We set up RAG on a small sample of your own documents and test it against your real questions. You see whether the model works on your data through concrete outputs, before committing to the investment.
We build the assistant in short sprints, adding source attribution, permission checks and hallucination limits. We measure answer quality against sample question sets and improve it.
We connect the solution to your web, WhatsApp, internal panel or ERP/CRM side and start a pilot with a small team. Every delivery passes the four-eyes review (Pan Standard); source code and configuration stay with you.
We monitor usage, cost and answer quality, and grow the knowledge base with new questions and documents. With continuous improvement under SLA, the solution becomes more accurate over time.
An assistant focused on a single use case can be proven in a few weeks; a multi-source, integrated enterprise solution spreads over a few months. Because we work iteratively, the cost firms up after discovery; we do not invent figures — it grows with the scope. We first trial the most critical piece as a small proof of concept (PoC) so you see the value early.
We design the data flow together with you. You decide what is sent to the model, what is masked and where things are stored; for sensitive areas we offer on-premise or controlled deployment options. The assistant only reaches the sources it is authorised for.
The risk cannot be reduced to zero, but it can be seriously limited. With RAG we ground answers in your corporate documents, show the source, and add guardrails that make the model say 'I don't know' when it is not sure. For critical decisions, human approval always stays in the loop.
Yes. We build solutions API-first; the assistant is designed to talk to your ERP, CRM, email and web infrastructure. That way the information it gives comes from real records, and it can trigger actions when needed.
Yes. At handover all source code, prompts, configuration and documents are entirely yours. You are not locked into a provider; you manage model choice, costs and the future, and you can continue with another team whenever you wish.
Yes. We offer monthly SLA/maintenance packages that monitor usage, cost and answer quality and grow the knowledge base with new questions and documents. An AI solution is a living product that becomes more accurate the more it is used and fed.
In a 30-minute discovery call we listen to what you need and tell you honestly whether custom development or an off-the-shelf product is the better answer.
We go beyond an assistant that answers questions and build workflows that complete work in multiple steps: classifying the incoming request, pulling data from your systems, checking the rules, opening the record and dropping to human approval where needed. Every step has defined permissions; every step leaves a recorded trail.
Details →We build a layer that reads incoming invoices, delivery notes, specifications and customs documents field by field and posts them into your ERP. It validates every field it reads against your own records, routes anything it is unsure of for approval, and keeps a record of which value came from which part of which document.
Details →We develop solutions built on Turkish speech recognition and synthesis: call recordings transcribed and made searchable, topic and sentiment analysis, a voice assistant on the order line, and voice-driven data entry for field staff whose hands are full.
Details →For organisations that will not let their data leave the building, we build model infrastructure that runs on your own servers or in your own cloud tenancy: hardware planning, model selection, internal document search, routing that decides which job goes to which model, and cost measurement.
Details →We install workflow engines and internal tool builders that run on your own servers, connect them to your systems and — most importantly — set up their governance: who can build flows, where secrets live, who owns each flow and who fixes it when it breaks.
Details →We build a system that gathers occupational health and safety (OHS) data in one place — from risk assessments and periodic equipment inspections to per-employee training and medical examination validity and near-miss records. When an audit arrives, the requested file is not compiled; it is already there.
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