Call ID
When an incident is opened, only one call is generated. A chat does not generate a second record. An email confirmation does not count as a call.
How is LLM Integration Carried Out?
How is LLM Integration Carried Out?
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Short answer
How do you integrate an LLM?
Request a meetingLLM integration involves linking the large language model’s call, context and output schema to the existing business record. It is not a chat box. Nor is it a model brand. This text explains the steps; the commercial integration layer is on the enterprise artificial intelligence page, where it cannot be copied.
The system operates in three stages. The first is the call: which event model is triggered. The second is the context: which section runs, and which does not. The third is the schema: where the output is placed, whilst errors remain in the draft. The team, which has been developing software in Istanbul since 2004, draws on its experience of over 700 agency infrastructure projects to explain these three rings; it does not sell packages, but demonstrates the mechanism.
Work-related problem
Writing a prompt is not the same as carrying out integration.
Many teams mistake LLM integration for a chatbot. The user types a question, the model generates free-form text, the output is pasted into the note area, and the link is said to be ‘set up afterwards’. There are four steps; there are four facts. The answer to the question ‘How is it done?’ is not in this table. A working link does not duplicate the text; it keeps the schema consistent. The concept stands apart from the selection of a large language model; here, the focus is not on the brand, but on how the call fits into the record.
The second pitfall is assuming that the model is the solution. The language model generates a sentence. Integration locks that sentence into the domain. The third pitfall is assuming that the response constitutes closure. ‘The response has arrived’ does not mean the task is complete. Closure is the binding of the call, the context and the schema under a single identity.
This page does not sell the commercial model product. The focus is on the mechanism. Custom software development sets up the record. Enterprise artificial intelligence carries the backbone. Here, the call, context and schema are visible. If they become mixed up, the search intent is lost.
In most companies, the pilot queue operates as a ‘temporary prompt’. A temporary prompt assumes an average question for an average task. If your document contains exceptions, your approval requires a threshold, and your relationships are complex, free-text processing will either link every line to a human or link none at all. Both disrupt the structure. Identity incorporates the exception into the rule; it does not leave the exception to the conversation.
Scale shows no mercy to this structure. When calls rise from one to a thousand, the telephone chain collapses. Whenever a new unit is opened, the debate over ‘which context is visible’ is repeated in every project. When a new model is added, it is recorded in the identity notes field. If there is no contract, every expansion gives rise to a new private chat. This page explains how that contract is drawn up; the model or token is not the primary focus.
Many teams mistake the issue for a ‘cheaper token’. The tool is useful; it does not resolve the lack of records. Even if a user asks a question in three minutes, if the output is not locked, the same task arises a second time. Even if the interface looks good, if the output isn’t derived from the document, reconciliation will still be a battle at the end of the month. The purpose of LLM integration is not to speed up the user’s workflow, but to ensure the output remains consistent in a single language.
The second common deviation is to assign a separate model to each unit. Support is separate, documentation is separate, the field is separate. It is said that ‘they will all be merged later’; when merged, three business identities emerge. The mechanism does not increase the number of models; it requires the unit to open the same record. That is why the explanation comes first as a schema, followed by the model. A multitude of models does not constitute authority.
The third deviation is to cover up the discovery with a slide. A slide does not draw a diagram. If there is no open document, no leaked context, or no inconsistent output, no rule is written. Shopsoft requires these three documents; it does not publish the package name or price. Until the document arrives, the ‘how to’ statement remains empty.
The Shopsoft approach
First, the mechanism is explained; the model comes afterwards.
Shopsoft does not impose a commercial package on this page. What is explained here is how the call is identified, where the context lies, and how the schema is generated. It can create an Custom software development record. The organisation does not hijack the mechanism; it acts as the host.
The approach consists of three layers. The first is the call: which event the model observes. The second is the context: the cross-section is filtered. The third is the schema: this is applied to the output area. This page does not cover the business layer; it explains the rings. The business layer is on the enterprise artificial intelligence page.
The team in Istanbul does not conduct product tours in the traditional sense. Instead, the existing document template, the context of the leak and the story of ‘why this line was cut’ are brought to the table. The regional business development network, which facilitates communication in the local language for global projects, analyses the overseas unit’s scenario with the same rigour.
The result is not a demo, but a living demonstration. The reader will learn three things: how to open a call, how to lock the context, and how the schema is generated. The need for the software becomes apparent here; the package name is not sold here.
During the exploration phase, the question ‘which model do you want?’ is left until last. First, the events are discussed: the document was opened, the section was filtered, the output remained in the draft, and a person confirmed it. If these events do not share the same identity, there is no integration, even if the model is replicated. Shopsoft maps out this sequence of events using your own documents; it does not impose a hypothetical process.
Shopsoft’s discovery isn’t wrapped up in three unsubstantiated statements. ‘It’s complicated for us’ isn’t enough. A missing document, a leaked context, or an inconsistent output all come to light. These documents reveal which link is missing. The model isn’t selected until the link is documented. Software does not hide your exception like a source of shame; it logs it.
In exploration, the phrase ‘connect first, schema later’ often amounts to postponing the backbone. A blind call does not make the record unique; it generates a second record. Shopsoft keeps the first slice narrow but does not leave it unrecorded. A narrow slice obscures the identity of the output. An unobscured identity returns to Excel the following month.
How does OCR work? describes the reading of a document. Reading is not a schema. What is a REST API? describes the surface. The surface does not generate a call. How does data synchronisation work? describes the copy; the copy does not produce an output. This page does not copy them.
Basic rings
Integration takes place in three stages.
The headings below do not constitute a product brochure. They are components of the mechanism that demonstrate how LLM integration is actually carried out. The technical details are on a separate page; the steps are shown here.
Cross-section
It is specified which field goes into the model. A missed filter leads to a hidden leak.
Output diagram
It does not fit into the free-text field. The draft is not always recorded; the rule is written during the discovery process.
Draft error report
The threshold is linked to risk, not to rank. A repeat attempt does not result in duplicate entries.
Closing
The approved output is linked to the task. The new chat is the second one.
Channel face
REST, a queue or a file all refer to the same identifier. What is a REST API? describes the surface; it cannot be played here.
Operational scenario
Morning call, midday cross-section, evening diagram.
A typical morning: the system opens 18 documents. The threshold is exceeded in three documents; they remain as drafts. In two documents, the context is not filtered; the system halts the request, preventing duplicate entries. Authorisation comes from that user’s profile; the phrase “I remember the old prompt” is not recorded.
In the afternoon, the second unit reads the same record. The ID is removed, and the output is placed on the line. The evening close is derived from the approved lines. The status is displayed: draft, locked, closed. There’s no need for a chain of phone calls asking, ‘Has it been entered?’
This scenario does not represent the depth of the business model. It is the day-to-day work of LLM integration. As sub-surfaces grow, enterprise artificial intelligence or OCR are discussed on a separate page; the mechanism remains the same.
Shopsoft re-runs this morning’s exploration using your data. Which steps take place in Excel, which in email, and which proceed with a ‘I know’? The software works with you to map out which of those steps to record. This is not a sales pitch; it is an analysis of how the system works.
A counter-entry may arise in the second half of the same day. If there is no record, the rejected output becomes a new document; the document and the decision do not correspond. If there is a contract, the counter-entry is linked to the original line. This is not a ‘problem-solving’ slogan; it is the natural consequence of the system.
Call volumes surge on peak days or during campaigns. The system operates based on queues and rules, rather than by locking up. Users cannot write panic exceptions; the threshold remains in the draft. The manager sees the risk of that day whilst the process is paused, not in the following week’s report. Growth does not give rise to a new Excel spreadsheet; it adds rules.
The same backbone creates a replicable section for the opening of a new unit. The new model duplicates the section; it does not duplicate the job ID. The new rule is versioned; the field does not ‘remember’ the old path. This is the mechanism’s growth model: not rewriting, but adding rules.
A night-time outage usually amounts to ‘we’ll look into it tomorrow’ at most companies. If there is a contract, a draft call remains just that; a duplicate text does not appear in the morning. The condition is simple: an interruption does not generate a second identity. API development can carry the surface; the surface is not a diagram.
How it works
First the call, then the context, and finally the schema.
This is not a demonstration run. We do not say ‘integration has been established’ until the output is fully defined.
Request a meeting-
A call is born
When the event is triggered, a single call is generated. The chat, REST or queue all use the same ID. The second message remains in the draft.
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Context is filtered
Which area is marked out on the model. Omitting this check leads to hidden leaks.
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The diagram is attached
It is printed and saved. The error remains in the draft. The notification queue is not considered closed.
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A rule is added
The identity does not multiply as new events or new models are added. The mechanism grows with you; it is not rewritten.
Integrations
A bond does not steal one’s identity; it carries it.
LLM integration does not exist in isolation. If a document resides in the ERP, a field in OCR and a decision in an email, each produces a separate reality. The mechanism does not aim to replace the existing system. The business record is linked to the same event.
Integration is not simply a matter of asking, ‘Is there an endpoint?’ It involves decisions such as ensuring that the target system accepts the same identifier when a call is made, that a request remains in draft form if an error occurs, and that a retry does not result in duplicate data. These decisions are locked into the backbone. Webhooks, files or queues are selected as required; the same stack is not guaranteed for every project.
Creates the Custom software development record. This page explains how to create that record. Two instances are not generated. B2B software can carry the backbone; the backbone is not a schema. The generated chat does not replace the record.
Which system is to be connected will be clarified during the scoping phase. A fixed list of technologies is not published. The architecture is kept flexible enough to safeguard your existing investment, yet rigorous enough not to compromise the integrity of the data.
Successful integration does not simply mean ‘connected’. Blind copying produces a second reality. Shopsoft distinguishes, during discovery, which events are real-time, which are queued, and which require human verification.
If the call, document and external channel do not fit into the line, the field is still closed by telephone. These elements are explored in greater depth on separate pages; the rule here is that the mechanism does not disregard them, but links them to the working language. If the link is broken, the claim of ‘how it is done’ does not hold water.
Reads the How does OCR work? field. The field is not a schema. What is a REST API? describes a surface. The surface does not trigger a call. How does data synchronisation work? carries the copy; the copy is not the output.
Enterprise artificial intelligence carries the spine. The spine is not a step in the integration process. API development carries the external event. The external event is not a schema. This page does not reproduce those cross-sections; it illustrates the boundary of the mechanism.
Business benefits
Benefit is not a slogan, but a call to action.
The comparison below does not include made-up KPIs. It compares issues that recur in the field with those that are resolved once integration is established.
| A job that fell through | Without integration | With LLM integration |
|---|---|---|
| Call | Chat, email, three text messages | Single identity |
| Context | The entire archive is gone | Cross-section filtering |
| Output | Notes section | Schema field |
| Error | New attempt | It remains a draft |
| Closing | New chat | Original line |
| Growth | New model opens | A rule is added |
Technical approach
There is no promise of a model; there is discipline in the scheme.
The technical approach does not make a specific model or cloud product mandatory for every project. The decision to opt for cloud, hybrid or existing servers depends on the company’s security and operational preferences. Shopsoft discusses this during the discovery phase; it does not present it as a marketing slogan.
Recording is absolutely essential. The call line is identified. The context is versioned. The schema event is linked to the task. Authorisation is implemented as data filtering, not screen masking. The log answers the question ‘who changed what?’. Without this discipline, a smart prompt becomes just another Excel spreadsheet.
Scale is determined by call volume rather than the number of users: concurrent connections, context locks, queues. The architecture ensures these locks are placed in the right places. If the need for multiple units arises, the contract is expanded; not every scenario is over-engineered from day one.
Development is divided into approved architectural slices. The first slice is usually the ‘call + context + schema’ triad. The model only makes sense if this triad is sound.
The data model is locked before the screen. The job title, call ID, context segment and output schema are distinct concepts. Merging these into a single ‘prompt record’ may be quick in the short term, but is fragile in the long term. Shopsoft does not promise a table name; it requires these distinctions to be maintained.
The test plays on contradiction rather than the ‘happy path’: the same document across two channels, threshold breaches, leaked context, identity swaps, reverse movements. If these scenarios do not work, the live chat becomes a second Excel spreadsheet. The performance metric cannot be fabricated; the head and tail are discussed according to your call volume.
Security, scale, governance
Trust is not a slogan, but authority and a track record.
In LLM integration, security takes precedence over authorisation. A unit cannot see the context of an adjacent document. An operation cannot send the entire archive to the model. The finance department cannot force a close without a key being released. A role is a data boundary, not a title label. This page does not contain any pentest promises.
Governance specifies who is authorised to approve changes. Scheme updates, the launch of new models and increases in authorisation are not carried out arbitrarily. They leave a trail. Business and personal data falling within the scope of the KVKK are subject to strict access and retention protocols, without the fabrication of official document numbers.
Scale is not a seasonal promise. The call volume swells. The system thrives not by locking down, but by queuing requests. Backups, WAF or penetration testing are not promised with the same phrase in every project; they are discussed according to need.
Shopsoft is based in Istanbul. In global projects, the local communication layer integrates language and time zone differences into the operation. Confidential system details and case studies are not published; client logos may be displayed as a sign of trust.
Changes to authorisation leave a trail. “I opened the archive just this once” does not go unnoticed. The contract version specifies who viewed what, when and in what context. This trail is not intended to instil fear of punishment; it is intended to put an end to end-of-month disputes.
Personal data and business information form part of the record. The purpose, duration and access are discussed during the discovery phase. The official document number is not finalised until it has been approved. Back-up and disaster recovery plans are designed according to the project’s requirements; the same infrastructure is not set up for every client.
The screen does not display unauthorised sections. Context leakage is not a case of ‘we’ll look at it later’; traces and cancellations are logged. Shopsoft does not market this discipline as a slogan. The model is not scaled up until it is clear who will see which call during the exploration phase.
Decision criteria
To check for integration, look at the diagram, not the model.
We do not carry out a package comparison. The questions below will help you determine whether the scheme is right for you.
The one truth about work
Does the same output have three different identities in chat, ERP and email? If so, the software is not yet integrated.
The owner of the context
Who changes the current cross-section, and can the site override it? If it can be overridden, it is a person, not the system, who is making the decision.
Diagram
Does it fit in the output field, or is the link ‘later’?
Growth
When a new event is added, does the rule get expanded, or is the prompt rewritten?
Common mistakes
Writing a prompt is not the same as setting up an LLM integration.
The first common mistake is to mistake LLM integration for a chat function. The screen and clipboard remain static; the rule stays in Excel. The user types a question, and the hub rewrites it. The second mistake is attempting to resolve every requirement on the same page. The business backbone, OCR, REST and synchronisation are separate objectives; this page does not treat them as its primary focus.
The third mistake is to discard the existing system and reinvent everything from scratch using the new model. Records and documents exist in most companies. The mechanism does not ignore them; it links them to business terminology. The fourth mistake is to think that authorisation lies in hiding menus. A hidden menu can be bypassed via a command or a report. Authorisation lies in the data.
The fifth mistake is to close the project once it goes live. The business grows, the rules change, and new issues arise. If the contract does not evolve, you’ll end up back with Excel. When Shopsoft talks about ‘ongoing support’, it isn’t just selling a package; it means ensuring the system can grow without compromising its integrity.
The sixth mistake is to treat the report as a substitute for the mechanism. A nice dashboard won’t correct erroneous output. The seventh mistake is to resolve every exception with a prompt. If exceptions aren’t added to the rule table, the software will become bloated every month. The eighth mistake is treating the field and the head office as separate realities and saying ‘integration later’. By the time ‘later’ comes around, the dual identity will have become permanent.
Scope of this page
The mechanism is explained; the commercial model is not stolen.
This page explains how to integrate an LLM. Commercial LLM integration is a separate search intent. OCR, REST, synchronous and enterprise AI are also separate topics. The links are visible here; the page does not delve into them in depth. Depending on where the user is experiencing a bottleneck, they are directed to the relevant page.
If there is no contract, the subpage does not expand either. A conversation, endpoint or binding generates a second reality if the business identity is not unique. This is why the explanation often begins with the call and the schema. The first segment completes the triad of call, context and schema. The remaining surfaces are linked to this triad.
Shopsoft does not publish package names, prices or demo CTAs. The deciding factor is whether the solution fits the reality of your business and its structure. The discovery phase is free of charge. Documentation comes before the presentation. The software configures the system to suit the company; it does not assume the average prompt for an average firm.
The published TR text is the source for this entity. The EN and AR versions will remain ‘noindex’ until the translation is complete. Internal links also lead to pages that have not yet been written; those pages open as placeholders, so the link chain remains unbroken. The images are taken from the current demo pool; their positions will change as the content is finalised.
This explanation is intended for companies that finalise their output in Excel or via email, and leave a note detailing the package’s schema. Small operations that run on a single chat, a single channel and a single rule often do not require this level of detail. If the requirement is not data deduplication but rather the elegance of the model, this page is not the right place for you.
During the Shopsoft consultation, we ask about your approval process, your contextual framework and where the schema stands. The software is not sold until the answer is clear. No off-the-shelf package is imposed. The decision hinges on whether the ‘request–context–schema’ triad perceives the same reality. Requesting a meeting does not constitute a binding offer; the architecture is discussed once the documents are on the table.
The team, which has been developing software in Istanbul since 2004, brings over 700 agencies’ worth of infrastructure experience to this proposal. No code is written until the official compliance number has been approved. Client logos may be withheld; confidential architecture is not disclosed. No competitor names are mentioned. The CTA is ‘Request a Meeting’. There are no demos, pricing or package options. A response is provided within an average of 24 hours during working hours. The initial discussion does not constitute a binding offer.
Trust and recommendations
A claim cannot be inflated with unsubstantiated figures.
Shopsoft has been developing software under the SS Danışmanlık umbrella since 2004. It has provided infrastructure and software support to over 700 agencies in Turkey and abroad. Its headquarters are in Ataşehir, Istanbul. For international projects, a regional network capable of communicating in the local language is brought into play.
The official scope of compliance is not finalised until the document has been approved. There are no fabricated performance percentages, customer figures or competitor comparisons. Customer logos may be used as a mark of trust; confidential architectural details and case study information are not disclosed.
The initial consultation is free of charge and there is no binding quote. We aim to get back to you within 24 hours during office hours. There is no price list or package CTA. We will discuss the architectural aspects once your requirements are clear.
The requirements for the meeting are concrete: a transparent document, a context that’s not fully clear, and an output that doesn’t quite fit. Rather than a presentation slide, these documents outline the mechanism. Shopsoft doesn’t mention competitors by name, nor does it set arbitrary KPIs. The decision comes down to whether the solution works for your business.
The team in Ataşehir, Istanbul, brings together a regional network that communicates in the local language on global projects under a single framework. Time differences and differences in identity are not a factor. The same outcome is achieved, and a shared identity is maintained. This claim stands without the publication of case details; client logos may remain as a mark of trust.
FAQ / AI response blocks
How to integrate an LLM — clear answers.
The answer will be brief. The scope will be clarified during the initial consultation, depending on your specific operation.
How do you integrate an LLM?
The call, context and output schema are linked to the existing business record. Shopsoft does not market this as a chat function; it configures it according to your documentation. The choice of model is a means to an end, not an end in itself.
Is it the same as enterprise artificial intelligence?
It is not. That page is the commercial backbone. This page focuses on the mechanism: call, context, schema. The two can be linked; their purposes are distinct.
Do you sell ready-made prompts?
No. Architecture comes into play where off-the-shelf solutions don’t fit. It’s not a list of prompts; it’s based on your specific requirements, context and structure.
Which model are you using?
There is no fixed stack. The discussion centres on cloud, hybrid or existing server discovery. The condition is that the output must reside under a single identity.
Why are the OCR and REST pages separate?
Search intent is a separate matter. This page explains the mechanism. Sub-surfaces delve deeper into their own entity; they do not usurp each other’s primary target.
Is there a charge for the initial consultation?
It is free of charge and there is no binding offer. We aim to respond within 24 hours on average during office hours.
Will the existing systems be scrapped?
The aim is not to set targets; it is to express the reality of the business in a single language. Which lines are to be connected, and how, becomes clear during the exploration phase.
How long does it take to go live?
The duration depends on the current fragmentation of the call-context-schema triad. There is no fixed schedule. The first phase and dependencies become clear during the discovery phase.
Will adding a new event rewrite the system?
It should not be written. Rules and sections are added; the scope of the work does not increase. If a rule cannot be added, the architecture is inherently limited.
Related Shopsoft solutions
This spine does not stand alone.
The pages below share the same sales, stock and integration truth. Continue from the bottleneck that is yours.
How Does OCR Work?
How Does OCR Work?
OCR refers to the process of linking an area on paper or in an image to an existing business record. It is not a choice of scanner. Nor is it a model name. This text explains the mechanism; it is commercial.
See details
What is a REST API?
What is a REST API?
A REST API is an interface style that identifies the resource by its URI, distinguishes the action from the verb, and makes the response interpretable via a status code. It is not a choice of JSON. Nor is the endpoint catalogue.
See details
How Does Data Synchronisation Work?
How Does Data Synchronisation Work?
Data synchronisation is the process by which two records share the same truth, using conflict resolution rules and rollback. It is not a file copy. Nor is it a night-time transfer. This is the text.
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