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AmexSoft.

Services

AI Integration

We integrate language models and AI services into ERP, CRM, support desks and internal apps — with guardrails, logging and evaluation so the feature survives production.

Connect LLMs and AI services into the software you already run.

  • Secure access to the right documents and records
  • Logging, cost controls and quality evaluation
  • UI and API surfaces that fit the host product

Problem

AI pilots die at the API key

Teams paste prompts into chat tools, but production needs auth, data access rules, observability, cost control and a place for humans to review mistakes.

Connect LLMs and AI services into the software you already run.

Solution

Production AI inside existing systems

AmexSoft wires models into the applications operators already use, with retrieval, permissions, evaluation and fail-safe paths — not a separate toy interface.

Secure access to the right documents and records
Logging, cost controls and quality evaluation
UI and API surfaces that fit the host product

Use cases

Where this shows up in the business

Concrete operating scenarios this service is designed to cover.

CRM assist and next-best-action

Summarize history, suggest next steps and draft follow-ups inside the CRM record.

Knowledge answers in support tools

Ground replies in approved documentation with citations and escalation when confidence is low.

Document extraction into business systems

Parse invoices, forms or contracts and write validated fields into the systems that need them.

Stack

Integrations and systems

Typical connection points — scoped to what the engagement actually needs.

  • OpenAI, Anthropic and other model providers
  • Vector stores and search indexes
  • CRM, ERP and helpdesk APIs
  • Identity, secrets and environment controls
  • Observability stacks and audit logs

Delivery

Implementation process

A controlled path from discovery to a system operators can trust.

  1. 01

    Use-case and risk review

    Choose a workflow with clear value and define data boundaries, failure modes and human review points.

  2. 02

    Architecture and evaluation harness

    Design retrieval, tools, logging and a small evaluation set before connecting to production data.

  3. 03

    Integrate, measure, harden

    Ship behind a controlled surface, measure quality and cost, then expand traffic carefully.

Results

Business outcomes

What changes when the work stops depending on ad-hoc effort.

AI features that live inside daily tools
Traceable prompts, responses and tool calls
Lower risk of silent wrong answers
Cost and quality visibility after launch

Proof

Related case studies

Demo solutions and concepts that illustrate this capability. They are not published client results.

Sales & CRM

AI Sales Agent

Qualifies inbound leads, answers product questions from your knowledge base, and books follow-ups into the CRM.

View solution

Finance & admin

Invoice & Document Processing

Extracts fields from invoices and PDFs, validates against your rules, and prepares clean records for accounting systems.

View solution

Customer support

AI Customer Support

Handles common support intents with grounded answers, escalation paths and ticket summaries for human agents.

View solution

FAQ

Ready to scope this for your operations?

Book an AI Automation Audit. Leave with a process map, prioritized opportunities and a recommended pilot.

Book an AI Automation Audit