AI Solution

AI Knowledge Search Services
so one question reaches every system.

AI knowledge search services Australia wide, for businesses in Perth, Melbourne, Sydney and Brisbane. One question, typed the way a person would ask it, searched across your documents, databases, CRM and ERP at once.

More about this service

Multi-source AI search services that sit over the systems you already run. Sourced answers, permission aware, so people only see what they should. Deployed in your own environment. Perth-based, Australia-wide, Fixed-price scoping.

  • AU-wide Perth-based · servicing Australia
  • 18+ yrs Building AI & automation
  • Fixed Price scopes, no surprises
  • 100% Code & prompt ownership
Australian owned and operated

Built here. Your data stays here.

  • No offshore development. Everything is written by our own team in Australia. Nothing is subcontracted overseas.
  • Your data stays onshore. Hosted in Australia, on infrastructure you own, under Australian law.
  • Every state, not just ours. Perth, Melbourne, Sydney, Brisbane, Adelaide and everywhere between.

See it answer

One question across every system you use

Search that checks SharePoint, the CRM, your accounts and the project tool at once, then labels each part of the answer with where it came from.

Example

Question: Is the Ellenbrook school hall job on track, and have we invoiced stage 2? Answer: Stage 2 finished on 5 September, two days late. It was invoiced on 9 September and has not been paid yet. Source: Project tool and Xero invoice 3318

What We Build

Search every system you use from one box

Five deployment patterns we build most often across our enterprise search ai services. Pick a tab to see how yours would take shape, from focused document search to full enterprise knowledge hubs.

Unified Knowledge Search Across Systems

A single search interface that queries across all your knowledge sources: SharePoint, Google Drive, Confluence, CRM, ERP, project tools, databases, and file servers. One question, one answer, drawn from whichever system has the relevant information.

"What are the warranty terms for the Johnson contract?" might pull the answer from a contract in SharePoint, cross-referenced with terms in the CRM. The user does not need to know where it is stored. They just ask.

AI Q&A Across Documents and Data

Go beyond document search. Ask questions that span structured data (CRM records, ERP data, project management tools) and unstructured content (documents, emails, reports). The AI combines information from multiple sources into a coherent answer.

"Which active projects have budgets over $50K and are behind schedule?" The AI checks your project management tool for timelines, your ERP for budget data, and synthesises the answer. No manual cross-referencing.

Permission-Aware Federated Search

One of the hardest problems in multi-source search: users should only see results from systems they have access to. A finance manager can see financial reports. A project manager can see project docs but not salary data. Permissions need to work across every connected system.

We build permission-aware search that maps access controls from each source system. When the AI searches across SharePoint, the CRM, and the ERP, it only returns results the requesting user is authorised to see. No accidental data exposure.

Executive & Management Q&A Interface

An AI interface built for managers and executives who need quick answers from across the business. "What was our revenue last quarter by region?" "How many active clients do we have in Queensland?" "What did the last audit report flag?"

Pulls answers from financial reports, CRM data, project dashboards, compliance documents, and board papers. The executive gets a direct answer with source citations, not a link to a 50-page report they need to read.

Enterprise Knowledge Hub

A central knowledge hub that connects to every system in your organisation and provides a single conversational interface. Not just search. An AI that understands your business context, remembers conversation threads, and surfaces related information proactively.

When someone asks about a project, the hub can proactively mention related risks from the risk register, upcoming milestones from the project tool, and relevant policy changes. Connections across systems that humans miss.

Capabilities catalogue

Every system your search can reach

Every capability below has been delivered for a real Australian business, from a SharePoint-plus-Confluence unified search to permissions-aware federated RAG spanning CRM, ERP, ticketing and chat. If your scenario is not listed, ask, we build bespoke.

Cross-system knowledge search

  • Unified search across business systems
  • Single query, multi-source answer
  • Cross-system entity resolution
  • Search across SaaS + on-prem systems
  • Cross-system citation & attribution
  • Multi-tenant cross-system search
  • Cross-system Q&A interface
  • Search-as-you-type cross-system

Federated RAG over multiple sources

  • Federated RAG architecture
  • Per-source retrievers & rerankers
  • Hybrid keyword + vector federated retrieval
  • Source weighting per query type
  • Adaptive source selection
  • Federated RAG over confidential + public data
  • Federated RAG with provenance
  • Multi-region federated RAG

SharePoint + Confluence + Drive search

  • SharePoint + Confluence unified search
  • SharePoint + Google Drive unified search
  • Confluence + Notion unified search
  • SharePoint + Dropbox unified search
  • OneDrive + Google Drive bridge
  • Wiki + document store unified search
  • Multi-tenant SharePoint search
  • Workspaces-as-source AI search

Tickets + docs + chat search

  • Zendesk + docs unified search
  • Freshdesk + Confluence unified search
  • Jira Service Management + docs search
  • ServiceNow + knowledge base search
  • Slack + docs unified search
  • Teams + docs unified search
  • Email + docs unified search
  • Past-tickets + docs answer engine

Permissions-aware multi-source AI

  • Per-user permission enforcement
  • Role-based multi-source AI
  • Group / OU-aware retrieval
  • Per-document ACL respect
  • Confidentiality-tier aware AI
  • Cross-system permission mapping
  • Audit logging for AI access
  • Data-residency aware multi-source AI

Multi-source AI + dashboards

  • Multi-source AI feeding dashboards
  • AI Q&A inside Power BI / Looker
  • AI Q&A inside custom dashboards
  • Cross-system KPI explanation AI
  • Anomaly explanation across sources
  • Executive briefing AI from multiple sources
  • AI commentary on multi-source reports
  • Multi-source AI + chat-in-dashboard
Case Study

AI knowledge search that made 10 years of reports instantly accessible

We built an AI-powered search system for a consulting firm. Consultants now find relevant insights across a decade of reports and proposals in seconds.

Read the full case study
10 yrs Knowledge indexed
80% Faster research
< 5s Answer time

We had information in SharePoint, Salesforce, Xero, and Monday.com. Nobody could search across all four. The multi-source search changed everything. Our project managers now get answers in seconds that used to take 20 minutes of system-hopping.

Chief Operating Officer Brisbane engineering consultancy · 90+ staff

Have a job like this one?

Call 0425 531 127 or Send us the details

How It Works

From scattered systems to one search your team trusts

Every project is different, but the six-step structure stays the same. System mapping, permission model design, sprint-based build, accuracy testing across sources, deploy and monitor, then add new systems and tune retrieval once you are live.

  1. System & Source Mapping

    We map your knowledge landscape: every system, document store, database, and SaaS platform that holds information your team needs. We identify data formats, access patterns, and permission models.

  2. Permission Architecture

    We design the cross-system permission model before building anything. Mapping access controls from each source, defining how permissions are enforced at query time, and handling edge cases where systems have different access models.

  3. Connector Build & Indexing

    We build connectors for each source system and create the unified search index. Each connector handles the specific data format, API, and sync requirements of its source. All within your environment.

  4. Search & Q&A Build

    We build the search interface: retrieval logic, cross-system answer synthesis, source attribution, and response formatting. Configured for your team's specific question patterns and information needs.

  5. Testing & Validation

    We test with real cross-system questions from your team. Checking accuracy, permission enforcement, source attribution, and handling of ambiguous queries across system boundaries.

  6. Rollout & Expansion

    Deploy to your team with training and a feedback mechanism. Start with core systems, then add more sources over time. Monthly reporting on usage, accuracy, and cross-system coverage gaps.

Why HELLO PEOPLE

Off the shelf, a hire,
or search built across your systems

ChatGPT Enterprise, no-code AI tools and an in-house AI team all solve pieces of the problem. Here is how HELLO PEOPLE compares on the things that actually matter to an AU SMB.

See the comparison
Concern HELLO PEOPLE ChatGPT / Off-shelfNo-code AI (Zapier)In-house AI hire
Fit to your multi-source data Built around your systems & schema Generic search, no fitTrigger-based, brittle logicDepends on the hire
Search live in 8-14 weeks + eval Relevance eval before go-live Live in minutes, no evalWeeks of DIY connector workMonths to hire and train
AU data sovereignty + access control fit AU-hosted, source-level ACLs US-hosted, flat accessDepends on your setupDepends on the hire
Ongoing cost Fixed price, one-time Per seat/token, per monthPer-run + prompt engineeringSalary + super + overhead
When sources or schema change We patch, no extra charge You re-index every timeYou rebuild the flowInternal team owns it
Direct access to the builder Email Kasun, get Kasun OpenAI support tierCommunity forumInternal AI team
Search index + source data ownership You own it, nothing sits with us Vendor holds index & dataVendor holds middlewareYou own it internally

What people ask about searching across systems

What does an AI knowledge search project deliver?

A single AI search interface that queries across your documents, CRM, ERP, ticketing and databases at once. Staff ask "what is the status of the Acme project and are we behind on invoicing them?" and get one answer pulled from SharePoint, Salesforce and Xero together, with source citations for every fact.

How is multi-source AI search different from a document chatbot?

A document chatbot searches one document set. Enterprise search ai services span every system: SharePoint, Confluence, Google Drive, HubSpot, Salesforce, Xero, MYOB, NetSuite, Monday.com, Jira, SQL databases and custom APIs. The AI understands both unstructured content (docs, emails) and structured data (CRM records, ERP rows) and combines them in one answer.

How much does AI knowledge search usually cost?

Every project is scoped and quoted fixed-price. A build connecting 2 to 3 sources sits at the lower end. A broader deployment spanning 5+ systems with cross-system permissions, structured data integration and advanced Q&A is more. Book a free 15-minute call, we scope the work, then quote once.

How long does a semantic search AI project take?

A 2 to 3 source deployment takes 6 to 8 weeks. A broader ai document search services build with 5+ systems and complex permission requirements takes 10 to 16 weeks. We deliver in phases: start with the highest-value sources, then add more systems once you see results.

How do you handle permissions across different systems?

We map access controls from each source system and enforce them at query time. If a user has read access in SharePoint but no access to financial data in NetSuite, their results only include SharePoint content. Permission mapping is designed before we build, not bolted on later.

Is data copied into a central store?

The content index stores embeddings and metadata, not full copies of your data. When the AI needs to reference a document or record, it retrieves it from the source system in real time. Sensitive data stays in its original system. The index stores enough to search effectively while keeping data duplication minimal.

Where is the search index hosted and is it compliant?

Deployed inside your own Azure, AWS or on-premise tenancy. Permission-aware architecture enforces existing access controls across every connected system. Full audit logging. Encrypted in transit and at rest. Compliant with Australian Privacy Principles. Australian data centre hosting by default.

Do we own the code, prompts and connectors?

Yes, 100 percent. Source code, prompts, connectors and the search index all sit in your infrastructure. Handed over at go-live. No per-query licensing, no vendor lock-in. If you decide to move providers later, everything ports across cleanly.

Tell us where your information lives today

What systems does your team hop between: SharePoint, Confluence, Salesforce, HubSpot, Xero, NetSuite, Monday.com? Which questions take too long to answer because the info is scattered? Tell us and we will come back with a clear next step and a realistic cost.

Prefer a quick chat? Call 0425 531 127. We answer the phone in Perth.

Kasun Wijayamanna, founder of HELLO PEOPLE

Kasun Wijayamanna, founderYou deal with Kasun from scope to delivery. No account managers and no offshore handoff.