AI Solution

Internal AI Assistant Development
so staff stop asking around for answers.

A custom internal ai assistant answers the questions that eat your day: policies, procedures, IT help, onboarding and process queries. Staff get a sourced answer in seconds, drawn from your own documents, in Perth, Melbourne, Sydney and Brisbane.

Perth-based, Australia-wide. Connected to SharePoint, Google Drive, Confluence, Teams and Slack. Secure, permission-aware employee ai assistant services, with a fixed price agreed before we start.

Book a 20-min scoping call Call 0425 531 127
  • AU-wide Perth-based · servicing Australia
  • Sourced Every answer cites its document
  • Fixed Price scopes, no surprises
  • 100% Your data, your infra
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

Staff ask it before they ask a colleague

An assistant in Teams, Slack or your intranet that answers from your procedures, templates and guides, and passes anything personal to the right person.

Example

Question: What is the handover procedure when we finish a bathroom renovation? Answer: Walk the client through the work, photograph each room in the job app, then have the client sign on screen before you leave. Source: Site handover procedure, version 3

What We Build

Answers on policy, IT and procedures for your staff

Five patterns for custom internal ai assistant projects: knowledge search, HR and policy, IT helpdesk, onboarding buddy, and operations or SOP guide. Most projects start with one and expand. Pick a tab to see the pattern that fits your biggest knowledge pain point.

Internal Knowledge Search Assistant

An AI assistant that searches your internal documents (policies, procedures, manuals, guides, contracts, project files) and gives staff a clear, sourced answer in seconds. Not a list of links. An actual answer, with a citation showing where it came from.

Staff ask natural language questions. "What is the process for requesting office equipment?" "Where is the template for client contracts?" "What are the travel reimbursement limits?" The assistant searches your documents and responds with the relevant information.

HR & Policy AI Assistant

An assistant dedicated to HR policies, employee handbooks, and workplace procedures. Staff ask about leave entitlements, expense processes, code of conduct, benefits, training, and compliance, and get immediate, accurate answers.

Particularly effective for organisations with 50+ staff where HR gets dozens of the same questions every week. The AI handles the routine queries. HR handles the sensitive, case-by-case situations.

IT Helpdesk AI Assistant

An AI assistant that handles first-line IT support. Password resets, VPN setup, printer troubleshooting, software access requests, account provisioning queries. The stuff your IT team resolves in minutes but gets interrupted by constantly.

The assistant walks staff through troubleshooting steps, provides how-to guides, and creates tickets for issues it cannot resolve. Categorised, prioritised, and assigned to the right person.

AI Onboarding Assistant

A dedicated assistant for new starters. Instead of a 40-page onboarding pack that nobody reads, new hires get an AI they can ask anything. "Where do I log my hours?" "Who is my fire warden?" "How do I book a meeting room?"

The assistant knows your onboarding content, org structure, key contacts, and common first-week questions. It guides new staff through setup steps, points them to the right systems, and answers the questions they are too embarrassed to ask a second time.

Operations & SOP Assistant

An assistant trained on your standard operating procedures, process documentation, and operational guides. Staff ask how to do something and get step-by-step guidance, not a link to a 30-page document.

"How do I process a warranty claim?" "What is the procedure for a site handover?" "How do I escalate a safety incident?" The assistant knows your SOPs and gives context-specific guidance.

Capabilities catalogue

Everything an internal assistant can answer

Every capability below has been delivered for a real Australian business, from a single HR-policy AI inside Slack to a full multi-source internal knowledge assistant on SharePoint. If your scenario is not listed, ask, we build bespoke.

Internal helpdesk AI

  • Internal IT helpdesk AI assistant
  • Tier-1 IT support automation
  • Password reset & access-request AI
  • VPN, printer & device troubleshooting AI
  • Software-licence request handling AI
  • IT ticket triage & assignment AI
  • ServiceNow / Jira / Freshservice integration

HR & onboarding AI assistants

  • HR policy & employee handbook AI
  • Leave, expense & benefits AI assistant
  • Onboarding buddy AI for new starters
  • Award-rate & EBA-clause lookup AI
  • Performance review & feedback assistant
  • Compliance & training-tracking AI
  • Employee experience self-service AI

Finance/accounting AI assistants

  • Finance AI assistant for accounts payable / receivable
  • Expense policy & approval AI
  • Budget code & cost-centre lookup AI
  • Internal finance FAQ AI
  • Month-end checklist assistant
  • Xero / MYOB / NetSuite query AI
  • Audit-evidence retrieval assistant

Operations & policy AI

  • Operations / SOP AI assistant
  • Safety, WHS & incident-response AI
  • Quality & ISO procedure AI
  • Field / site-worker operational AI
  • Change-management & policy update AI
  • Compliance-aware operational AI
  • Multi-site procedure consistency AI

Slack/Teams native AI agents

  • Slack-native internal AI assistant
  • Microsoft Teams AI assistant
  • Channel-aware AI bot deployment
  • DM-style internal AI helper
  • AI summariser for long Slack / Teams threads
  • Meeting note & action capture AI
  • AI digest & briefing inside Slack / Teams

Knowledge-base-grounded internal AI

  • SharePoint-grounded internal AI
  • Google Drive / Workspace-grounded AI
  • Confluence / Notion-grounded AI
  • Multi-source internal knowledge search
  • Permission-aware document search AI
  • Citation-backed internal answers
  • Knowledge-gap reporting from real questions
Pricing

How an internal assistant is scoped and quoted

No hourly billing. No vague estimates. Here is how internal ai chatbot development and business ai assistant services builds get scoped, from a free 15-minute call to a fixed-price quote.

Free 15-minute call

Tell us what problem you are trying to solve. We will give you an honest answer on whether AI is the right fit and what it would involve.

Fixed-price quote

After discovery, you get a fixed price for the project. No hourly billing that spirals. You know exactly what it costs before we build.

Staged delivery

PoC first, then production build in phases. You see real value early, give feedback, and pay in milestones.

Why HELLO PEOPLE

A generic chatbot,
or an assistant that knows your business

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.

Concern HELLO PEOPLE ChatGPT / Off-shelfNo-code AI (Zapier)In-house AI hire
Fit to your internal knowledge Grounded in your SOPs and drives Generic answers, no contextFine for a public doc chatbotDepends on who you hire
Internal assistant live in 6-10 weeks Live assistant across your stack Staff paste prompts by handYou wire every tool callMonths to hire, then build
AU data sovereignty + access control fit AU-region + per-team ACLs US-hosted, one tenantUS-hosted by defaultYou brief the hire on ACLs
Ongoing cost One-off + optional support plan Per seat/token, per monthPer-run + prompt engineeringSalary + super + overhead
When teams or scope grow We add teams and sources cleanly You buy more seatsYou rebuild the flowYour team owns the rebuild
Direct access to the builder Email Kasun, get Kasun OpenAI support tierCommunity forumInternal AI team
Assistant code + internal data ownership You own the assistant and the data Vendor holds prompts + logsYou own it (self-hosted)Your team owns it
Case Study

Enterprise knowledge search that cut research time by 85%

We built an enterprise knowledge management system powered by RAG. Unified search across 50,000+ documents delivers answers in seconds instead of hours.

Read the full case study
50,000+ Documents indexed
85% Faster knowledge retrieval
< 8s Average answer time

We rolled out an internal AI assistant across HR, IT and operations. Staff now ask it before they interrupt a colleague. Our HR helpdesk tickets dropped 62% in the first quarter, and new starters say it is the most useful thing they got in week one.

Chief People Officer Perth engineering consultancy · 140 staff
Business Impact

Answers in seconds, not twenty minutes of searching

Answers in seconds instead of 20 minutes searching, consistent process execution across teams, faster onboarding for new starters, and 40 to 60 percent fewer routine tickets for HR and IT. Here is what business ai assistant services deliver day to day.

Staff get answers in seconds, not 20 minutes of searching

A McKinsey study found that knowledge workers spend 19% of their time searching for information. In a 100-person company, that is roughly 19 full-time employees worth of searching. Even if it is half that in your business, the cost is enormous.

An internal AI assistant cuts that search time dramatically. Instead of opening SharePoint, trying three search terms, clicking through folders, and asking a colleague, staff ask a question and get an answer. With the source document cited.

One client measured a 65% reduction in time spent searching for internal information within the first two months. That is not abstract productivity. It is hours per person per week returned to actual work.

Everyone follows the same process, the current one

When procedures live in documents that nobody reads, consistency is a fantasy. Different teams do things differently. New staff learn from whoever happens to train them. The "right way" depends on who you ask.

An AI assistant that knows your SOPs gives the same answer to everyone. When the process changes, the source document is updated and the assistant immediately reflects the new procedure. No retraining workshops, no email announcements that get ignored.

The result is operational consistency without bureaucratic overhead. Staff follow the right process because asking the assistant is easier than asking a colleague.

New starters become productive in days, not months

Onboarding is a documentation problem. New hires need to absorb a lot of information quickly, but the information is scattered across dozens of documents, systems, and colleagues' heads.

An AI onboarding assistant gives new starters a single place to ask anything. System access questions, process guidance, policy queries, "who do I talk to about X" questions. Available 24/7, infinitely patient, doesn't judge repeat questions.

Staff ramp up faster because they spend less time confused and more time doing. Managers spend less time answering the same onboarding questions for the fifth time this quarter.

IT and HR handle fewer routine tickets

Your IT helpdesk and HR team exist to handle complex situations that need human judgement. Instead, they spend most of their day answering questions that have clear, documented answers, if only people could find them.

An AI assistant deflects 40–60% of routine internal support queries. Password resets, leave policy questions, expense process guidance, software access instructions. The assistant handles these instantly. Your internal support team handles escalations.

The impact is not just efficiency. It is morale. Internal support staff get to work on interesting problems instead of answering the same question for the 50th time.

How We Deliver

From scattered documents to one assistant

Every project is different, but the six-step structure stays the same. Discovery and content audit, use case mapping, data and source integration, build and testing, rollout with adoption support, then ongoing monitoring and improvement.

  1. Discovery & Content Audit

    We review your current internal documentation: what exists, where it lives, what format it is in, and what is missing. We identify the highest-value use cases and the content the assistant needs to work well.

  2. Use Case Mapping

    We map the specific questions and tasks the assistant should handle, by department, by topic, by priority. This defines what gets built first and what gets added later.

  3. Data & Source Integration

    We connect the assistant to your document repositories: SharePoint, Google Drive, Confluence, Notion, internal databases. We set up permissions so the assistant respects your existing access controls.

  4. Build & Testing

    We build the assistant, test it against real questions from your teams, and refine accuracy until it meets your standards. You review answers before launch and flag anything that needs adjustment.

  5. Rollout & Adoption

    We deploy to your chosen platform: Teams, Slack, intranet, or web app. We help with internal launch communications so staff know what the assistant can do and how to use it.

  6. Monitoring & Improvement

    We track what staff ask, where the assistant falls short, and which topics need better documentation. Monthly reporting on usage, accuracy, and knowledge gaps.

FAQs

What managers ask about an internal AI assistant

What does internal ai assistant development actually deliver?

A working AI assistant your staff can ask anything. It searches your internal documents, checks your systems, and gives a sourced answer in seconds. Deployed in Teams, Slack, your intranet, or a web app. Connected to SharePoint, Google Drive, Confluence, Notion, or wherever your documents live. You get the assistant, integrations, dashboards and source code.

How much do employee ai assistant services cost?

Fixed price after scoping. A focused assistant covering one department (HR policies or IT support) sits at the lower end. A broader assistant covering multiple departments with system integrations is larger. Ongoing hosting and OpenAI or Anthropic model usage get scoped during the build so you know the monthly run-rate.

How long does internal ai chatbot development take?

A focused assistant with a single document source runs 3 to 5 weeks. A multi-department assistant with several repositories and platform integrations runs 6 to 10 weeks. We usually deliver a working proof of concept in the first 3 weeks so you can see it answering real questions.

What do staff ai assistant australia projects connect to?

SharePoint, OneDrive, Google Drive and Workspace, Confluence, Notion, Dropbox, Box. Plus Microsoft Teams and Slack for deployment. Plus ServiceNow, Jira Service Management and Freshservice for ticketing. If your data lives somewhere unusual like a custom intranet or SQL database, we can usually connect it too.

Is custom internal ai assistant secure for confidential documents?

Yes. Encrypted data at rest and in transit. The assistant only accesses documents through your existing permissions, so there is no cross-department data leakage. We do not train models on your data. Full audit logs on every query. Deployed inside your cloud environment or a dedicated tenant. Australian data residency available.

What happens when it does not know the answer?

It says so, clearly. It does not make up answers. It tells the user it could not find relevant information and suggests who to contact or where to look. We configure confidence thresholds so the assistant only responds when it has a good source match. Every answer cites the exact document.

Will staff actually use business ai assistant services?

Adoption is the key success factor. We deploy inside tools staff already use, Teams or Slack. We help with launch communications. The best driver of adoption is the assistant giving good answers. When staff get a useful answer in 5 seconds instead of 20 minutes of searching, word spreads fast. Typical adoption hits 60 to 80 percent of eligible users inside 3 months.

Can we stage the rollout?

Yes, and we recommend it. Start with one department or topic area. Get it working well, measure adoption and accuracy, then expand. Most clients start with HR policies or IT support, then add operations, compliance, and project documentation over the following 6 to 12 months.

Tell us where your team goes looking for answers

Where are your documents? SharePoint, Google Drive, Confluence? What do staff ask most? Which platform should the assistant live in? We come back with a realistic scope and a fixed-price quote within 48 hours.

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