AI integration services from Eicra, a Dhaka-based company, are the build work. They connect a large language model (LLM) to the software you already use. They cover your customer relationship management (CRM), enterprise resource planning (ERP) and helpdesk systems. AI then reads the right data and acts inside them without replacing them, with access controls, audit logs and human review.
Outsourced AI integration services deliver AI working inside the systems you already run. You do not move to a separate AI product. Each engagement delivers the six items below. Every production integration also adds four safeguards. These are access limits, a log of every model call, a test on real cases and a human review step.
Which companies offer AI integration services? Three kinds: global consultancies such as IBM Consulting, specialist AI agencies, and offshore build teams like ours. Asked for the top five AI services, most comparison lists name ChatGPT, Claude, Gemini, Microsoft Copilot and Perplexity. AI integration connects models from OpenAI, Anthropic and Google, the makers of three of them, to your own systems.
Summaries, classification, drafting and routing added to your team’s screens through each system’s application programming interface (API). The model works on the record your colleague already has open, so nobody learns a new tool or copies text between tabs.
The model answers from your own policies, contracts and records, with the same access permissions your users already have. Each answer carries a link to the source document, so your team can check where it came from before acting on it.
Invoices, forms, payslips and contracts read into structured fields, with confidence scores and a review queue for low-confidence items. The queue shows the original page beside the extracted values, so a reviewer can correct a single field in seconds.
A small, documented middleware that routes calls between the model and your systems, with retries, rate limits and cost caps. It runs in your own hosting, and the documentation lets your developers change prompts or switch models later without rebuilding the integration.
A test set of real cases, an accuracy gate before every release, drift alerts and a log of every model call. The test set stays in your hands, so your team can rerun it after any change we or the model provider make.
A person approves any action that changes money, records or customer communication before it goes out.
| Question | AI integration | API integration |
|---|---|---|
| What gets connected | A language model and your business systems | One system and another, with no model involved |
| Typical job | Summaries, classification, drafting and routing inside your CRM | Syncing a payment gateway with your ERP |
| Main controls | What the model may read and do, a log of every call, human review | Field mapping, retries and rate limits |
| Where it is covered | This page | Our API integration page |
AI integration runs inside your CRM or ERP without a new screen. Each record, ticket or document goes from your system to the orchestration layer and then to the model. A human reviewer checks it where money, records or customer communication change, and the result returns to the same screen, with every model call logged for audit.
Every model call logged, an accuracy gate before every release, drift alerts.
Illustrative flow. Yellow marks the step where a person decides; API keys stay in your accounts and every model call is logged.
Outsourced AI integration works in four fixed-price steps. A two-week diagnostic picks the system and the first use case. A three-to-four-week pilot then runs on one system with real data. After that we build it for production, with rollback and monitoring. Monthly support is optional. Your team joins one call per week, and our engineers run the rest.
A first integration takes five to six weeks from diagnostic to pilot result. Two weeks go to the diagnostic, then three to four weeks to the pilot on one system. Production is quoted per system after the pilot.
| Step | Timing | What you get |
|---|---|---|
| 01 AI Workflow Diagnostic | 2 weeks | Systems inventory, first use case scored, model shortlist, pilot proposal |
| 02 Pilot | 3–4 weeks | One system evaluated on 20–50 real cases, go/no-go report |
| 03 Production integration | After the pilot | Cutover with rollback plan, monitoring, runbook, training, 30 days of fixes |
| 04 Managed AI Ops | Monthly | Monitoring, model and tool updates, and a monthly report |
AI integration is safe when every engagement starts with a mutual non-disclosure agreement (NDA). Personal data reaches a model only under a data processing agreement. We document exactly what data reaches the model, keep the API keys in your accounts and log every model call. Certifications are listed only when actually held.
The Open Worldwide Application Security Project (OWASP) ranks prompt injection first, as entry LLM01, in its Top 10 for Large Language Model Applications (OWASP, 2025). Its definition reads: “A Prompt Injection Vulnerability occurs when user prompts alter the LLM’s behavior or output in unintended ways.” OWASP’s prevention list includes least-privilege access and human approval for high-risk actions, the same controls listed here. The National Institute of Standards and Technology (NIST) groups this work into four functions: govern, map, measure and manage. They sit in Section 5, the Core of its AI Risk Management Framework 1.0, published as NIST AI 100-1 (NIST, 2023).
Our AI integration services are backed by published evidence instead of promises. You get measured commitments for every step and a free 30-minute feasibility check on one of your systems before you pay anything. The service line is new, so case studies with client numbers will be added here as pilots complete, with client permission.
20–50 cases
Every pilot is evaluated on your own real cases, with before-and-after numbers and a go/no-go report.
30 days
Of fixes after a production cutover, with a rollback plan, monitoring and a runbook.
Every model call
Logged, with a data-flow note listing which fields reach the model and which are masked.
Teams ask us about AI integration cost, how it works, LLM integration and model choice. When an integration sends personal data to a model, Article 28 of the General Data Protection Regulation (GDPR) sets the processor terms we sign. Every data flow is written down before go-live.
Reviewed by Asma Sultana Minu, Local Corporate Counsel
More answersAI integration is priced per step, and each price is on the price cards at the top. The steps are a two-week AI Workflow Diagnostic, a three-to-four-week pilot on one system and a production integration priced per system. The Diagnostic is $149, the pilot $500 and production from $900 per system; multi-system from $1,500.
AI integration connects a language model to the software you already use: your CRM, ERP, helpdesk and document stores. AI can then read AI-ready data and act inside those systems without replacing them. As a Bangladesh-based company, we add access controls, a log of every model call and a human review step.
AI integration works inside your existing system. When a record, ticket or document arrives, the orchestration layer sends the needed fields to the model through the supported API. The model answers from your documents, a person approves changes to money, records or customer communication, and the result lands back on the same screen. Every model call is logged.
LLM integration connects a large language model, such as an OpenAI, Anthropic or Google model, to the software you already use through its supported API. It controls what the model may read and do. It adds AI to your CRM, ERP or helpdesk without replacing them, with access limits, a log of every model call and a human review step.
The best model is the OpenAI, Anthropic or Google model that scores highest on your own test cases. The comparison weighs the task, your data rules and your budget. We compare two or three during the pilot and recommend one on accuracy and cost per call. The choice is documented, and switching later stays possible through the orchestration layer.
Start with a free feasibility check.
Request A QuoteTell us which system to connectYour request is subject to our Terms and Privacy Policy.
