AI Integration Services for CRM and ERP
OpenAI, Claude or Gemini in the CRM and ERP you already run, with access controls, audit logs and human approval.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.
2 weeks 01 AI Workflow Diagnostic · $149
3–4 weeks 02 Pilot · $500, one system
After the pilot 03 Production integration · from $900 per system
Monthly 04 Managed AI Ops · from $750 a month
What do outsourced AI integration services deliver in your CRM and ERP?
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.
AI features inside your CRM, ERP or helpdesk
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.
Knowledge search over your documents (RAG)
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.
Document AI extraction and classification
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.
API orchestration layer
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.
Evaluation and monitoring
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.
Human review step
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 |
Not included: AI model usage fees (paid by you to the provider); system licence costs; work beyond the agreed scope, which we price first as a change request.
How does AI integration run inside your CRM or ERP?
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.
What happens to one record
Your CRM, ERP or helpdeska record, ticket or document arrives
Orchestration layersupported API, retries, rate limits, cost caps
AI modelOpenAI, Anthropic or Google, answering from your documents
Human reviewapproves changes to money, records or customer communication
Back in your systemsummary, field or draft on the same screen
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.
How does outsourced AI integration work with your team?
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.
The four steps in order
How long does a first AI integration take?
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.
Your systems CRM, ERP and helpdesk tools.
Models and tools OpenAI, Anthropic and Google models.
Communication Weekly call, shared channel, change log.
Not AI work? System syncs sit on our third-party API integration page.
Timeline at a glance
| 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 |
Is AI integration safe for your CRM and ERP data?
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.
What the standards say
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).
What we sign before access
NDA signed before any data or system access.
Data processing agreement (Article 28(3) terms) for personal data.
A data-flow note for every integration: which fields go to the model, which are masked, and where logs are stored.
Model provider settings: API tiers whose terms exclude training on your data, where the provider offers them, recorded in the runbook.
API keys and provider agreements stay in your name; least-privilege access for the model; access removed at handover.
How transfers and contracts work
International data transfers: an International Data Transfer Agreement or standard contractual clauses, as your data law requires.
Regional transfer terms: Association of Southeast Asian Nations (ASEAN) Model Contractual Clauses or local transfer clauses where your law asks for them.
Contract: ownership of the delivered work as set out in the contract. A service level agreement (SLA) covers response times. We redo the work at no cost when a delivered integration fails the agreed test cases. Changes are priced first as a change request.
What proof backs our AI integration services?
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.
What do teams ask about outsourced AI integration services?
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.
How much does AI integration cost?
AI 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.
What is AI integration?
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.
How does AI integration work?
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.
What is LLM integration?
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.
Which AI model is best for our CRM or ERP?
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.
Reviewed by Asma Sultana Minu, Local Corporate Counsel
Start with a free feasibility check.