Agentic & Generative AI
Real AI agents doing real work, governed properly.
Purpose-built AI agents that handle real work, sit inside your guardrails and hand off to a person when judgement is needed.
What we cover
Everything Agentic and Generative AI covers.
Four offerings under one service. Take the one you need, or the full set.
AI readiness and rollout
We assess fit, sequence the use cases, govern access and run the rollout so AI becomes something your team uses, not just a licence cost.
- AI live and used, not just switched on
AI agent design and build
Process, research, customer service, knowledge and developer agents built on Copilot Studio, Anthropic, OpenAI and the open-source ecosystem.
- Agents that take real work off people
Governance, security and audit
Identity, data handling, audit logs and acceptable use rules that hold up under both internal review and regulator scrutiny.
- Guardrails your risk team will sign off
Adoption and measurement
Tracking usage, value and quality so AI investment actually shows up on the operating model.
- Proof the AI spend is paying off
AI agents
The AI agents we build
From sales support and customer service to process automation, we design and build AI agents that fit your business and stay inside guardrails.
Sales support agents
Draft follow-ups, prep call notes and keep the CRM updated so sellers spend their time selling.
Customer service agents
Triage inbound requests, answer common questions and draft first responses for your team to approve.
Process agents
Run multi-step back-office work like onboarding, claims and approvals from start to finish, within guardrails.
Knowledge agents
Answer questions from your own documents and systems, with sources, so people stop hunting for information.
Research agents
Gather, check and summarise information from the web and your data, ready for a person to act on.
Developer agents
Help your engineers write, test and document code so delivery moves faster.
Copilot Cowork Cost Estimator
What would Copilot Cowork cost your team?
Work out your likely monthly spend in AUD and projected return on investment. See your licensing and estimated credit usage.
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Customer Spotlight
An AI matching agent for a community transport provider
A community transport provider needed a faster way to match volunteers with clients based on distance, interests and availability, which had been a slow manual job. We built a proof of concept AI agent in Copilot Studio using anonymised data, returning ranked matches with a clear reason for each, deployed safely inside their Microsoft 365 environment.
The outcome
Faster volunteer matches, ready to scale
Ranked suggestions with a clear reason each
Built safely on anonymised data
A base to automate more manual work
Success Stories
What good looks like
Common questions about AI agents
What is an AI agent?
An AI agent is software that completes a task from start to finish, not just answers a question. It reads information, makes a decision within set rules and takes an action, such as updating a record, drafting a reply or triaging a request, and hands back to a person when judgement is needed.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent takes action: it reads information, updates systems, completes multi-step tasks and hands back to a person when judgement is needed.
What types of AI agents can you build?
We build sales support, customer service, process, knowledge, research and developer agents. Sales and service agents handle front-line requests, process agents run back-office work end to end, and knowledge and research agents find and summarise information from your own data. We start with one high-value task and expand from there.
What can an AI agent do for my business?
Common jobs include handling repetitive admin, triaging and routing requests, pulling research together, drafting and checking documents, and helping staff find answers in your own knowledge.
Can an AI agent work with our existing systems?
Yes. We connect agents to the tools you already run, such as Microsoft 365, Teams, SharePoint, Dynamics 365 and many line-of-business apps. Replacing systems is rarely needed. The agent works on top of what is already there, using your existing permissions.
How do you keep AI agents safe and under control?
Each agent is built with identity controls, least-privilege access, clear data rules, audit logs and human handoffs. You can review what it did and stop it at any point.
What happens if an AI agent gets something wrong?
Agents are built to hand off to a person for anything sensitive or uncertain, and every action is logged, so you can see what happened and correct it. High-stakes steps need human approval before they run. You stay in control, and nothing important happens without a person able to check it.
Which AI models do you use?
Whatever fits the job. We work across Microsoft, OpenAI, Anthropic, Perplexity and open-source, and choose based on quality, cost, data rules and where the work needs to run.
How long does it take to build an AI agent, and what does it cost?
A first, focused agent usually reaches production in a few weeks, because we scope it to one clear task. Most work starts with a fixed-scope pilot, so the first step has a known price and a clear deliverable. From there, more tasks are added once the first one is trusted.
Ready when you are
Tell us the problem. We will bring the plan.
Start with a discovery session. You leave with clear, prioritised next steps, not a sales pitch.
What to expect
- A consultant replies within 4 business hours
- Session booked to understand your requirements
- We will provide you with a fixed price quote