IT specialisation · Tier 3
AI Integration consultants — engaged on fixed-scope contracts.
LLM integration, RAG pipelines, vector databases, Copilot/ChatGPT enterprise rollouts and guardrails.
Typical ai integration engagement
A representative engagement is a private RAG implementation on internal documents — ingestion, embedding, vector index, retrieval orchestration, prompt engineering, and an evaluation framework — delivered as a containerised service or integrated into an existing portal.
What you receive on a AI Integration engagement
Concrete deliverables agreed up front in the proposal — fixed scope, fixed price, milestone-based delivery.
- AI architecture (data flow, model selection, guardrails)
- Ingestion + embedding + retrieval pipeline
- Evaluation harness with measured retrieval quality
- Prompt templates and safety guardrails
- Production deployment and monitoring runbook
AI Integration — frequently asked questions
Direct answers to the questions teams ask before engaging a ai integration consultant on TalvexIT.
What does an AI integration consultant do?
Enterprise AI integration work covers LLM-powered application development, retrieval-augmented generation (RAG) pipelines, vector-database design (Pinecone, Weaviate, pgvector, Azure AI Search), Copilot / ChatGPT Enterprise rollouts, prompt engineering at scale, guardrails / safety tooling, and AI agent orchestration (LangChain, LangGraph, semantic-kernel).
Can you build a private RAG system on our documents?
Yes — private RAG is one of the most common AI engagements. Output includes ingestion pipelines, chunking and embedding strategy, vector storage, retrieval orchestration, prompt templates, and an evaluation harness (precision/recall on a labelled set) before rollout.
Do you cover Microsoft Copilot / Microsoft 365 Copilot rollouts?
Yes — Copilot deployments including Microsoft 365 Copilot, Copilot Studio (custom agents), Power Platform Copilot integrations, and Azure OpenAI Service for in-tenant LLMs. Engagements typically include data-readiness assessment (SharePoint permissions, sensitivity labels) before rollout.
How every TalvexIT engagement works
Same workflow across all 28 specialisations — verified consultant, fixed scope, formal Purchase Order, direct customer-to-supplier invoicing.
Verified senior consultant
KYC video, ABN check (Australian providers), insurance review, contractor agreement — before any ai integration work begins.
Fixed-scope proposal
Refined deliverables, milestones, timeline, T&Cs, and price agreed up front. Lock the scope before any commitment.
Direct invoicing
The provider raises a tax invoice in their name and ABN; you pay them directly. The platform records the engagement but never holds funds.
Worldwide expertise
Specialists across Australia, SE Asia, South Asia, Europe, and the Americas. Multi-currency quoting (AUD, USD, GBP, EUR, NZD, SGD, CAD).
Related specialisations
Engagements often span more than one — engage one consultant, or stitch together a small team.
DevOps Engineering
CI/CD pipelines, Kubernetes, Terraform, Ansible, GitOps, observability and platform engineering.
Data Engineering
Data warehousing, ETL/ELT, Snowflake, Databricks, Fabric, lakehouse design and BI enablement.
Low-Code & Workflow Automation
Power Platform, Logic Apps, n8n, Zapier — business-process automation with governance.
Ready to engage a ai integration consultant?
Two minutes from plain-English requirement to formal proposals from verified consultants.