Artificial Intelligence
Navigating through the world of Artificial intelligence can be challenging – we’re here to simplify it.
Turn artificial intelligence into practical business capability.
AI should do more than generate interesting answers. It should reduce repetitive work, connect information, support your people and improve the way your business operates.
Our technical team helps organisations select, configure and implement AI tools from Anthropic, Microsoft, OpenAI, Google, AWS and the rapidly growing open-source agent ecosystem.
From Claude Cowork and Microsoft Copilot Cowork through to custom AI agents and OpenClaw deployments, we design solutions around your workflows, security requirements and commercial objectives.
Create “AI” Agents specific to your business and let them take the admin work off you.
Microsoft 365 • CRM • Finance • Support
Cowork and custom agents
Copilot and Microsoft 365
ChatGPT, APIs and agents
Gemini and Vertex AI
Bedrock and managed models
Configurable agent harnesses
If you’re not moving to AI, you’re falling behind.
We implement AI systems that can understand information, use approved tools and assist with multi-step business processes.
Document intelligence
Review, classify, summarise and extract information from contracts, reports, correspondence and operational documents.
Knowledge assistants
Give staff a controlled way to search policies, procedures, project files and organisational knowledge.
Customer support agents
Assist support teams by gathering context, preparing responses, updating records and escalating complex requests.
Business administration
Prepare reports, organise information, produce meeting summaries and complete repetitive administrative work.
Software integration
Connect AI with your CRM, finance platform, ticketing system, databases and internal applications.
Custom AI agents
Build role-specific agents capable of planning tasks, using tools and operating within defined business controls.
The introduction of Co Work
Cowork-style AI changes the interaction from asking a chatbot individual questions to assigning it a broader outcome.
An appropriately configured AI coworker can gather information, work across multiple files, prepare documents, organise content and progress a task through several stages.
This requires defining roles, permissions and controls to ensure that the AI model doesn’t cross contaminate, or leak sensitive information.
From business idea to controlled implementation.
We help you design an agent around a clearly defined role rather than beginning with technology and searching for a problem.
01
DISCOVER
Define the role
Identify the process, intended outcome, users, information sources and current operational cost.
02
DESIGN
Select the architecture
Choose the model, platform, tools, memory approach, hosting environment and integration pattern.
03
CONTROL
Establish boundaries
Define permissions, data access, approval points, escalation paths and prohibited actions.
04
BUILD
Connect tools and knowledge
Integrate the agent with approved applications, APIs, documents and business systems.
05
VALIDATE
Test real scenarios
Measure quality, reliability, cost and behaviour using representative business tasks.
06
IMPROVE
Monitor and refine
Review usage, errors, adoption and commercial value as the agent moves into production.
The largest models are not always the best
AI costs can grow quickly as an agent performs more steps, processes larger documents, maintains longer context, calls external tools or delegates work to additional agents.
Model capabilities and API pricing also change rapidly and with the introduction of OpenSource models, the selection of LLMs can be the difference in $10,000’s of dollars saved.
We help control these costs by matching the model to the agent’s role rather than using the largest model for every task.
Time saved + improved output + reduced risk
−
Models + infrastructure + oversight
=
Sustainable AI implementation
EXAMPLE MODEL ROUTING
Use the right level of intelligence
Identify document or request type
Fast model
Collect structured fields
Efficient model
Interpret complex context
Advanced model
Review sensitive recommendations
Advanced model
Technical implementation supported by practical business advice.
01
AI opportunity assessment
Identify processes where AI can produce measurable operational or commercial value.
02
Platform selection
Compare Claude, Microsoft, OpenAI, Google, AWS and open-source options against your requirements.
03
Agent architecture
Design the model, tools, memory, integrations, controls and hosting required for the solution.
04
Implementation and integration
Build and connect the AI solution using your existing business systems and approved information.
05
Governance and security
Establish data boundaries, access controls, logging, approvals and operational responsibilities.
06
Training and adoption
Help your team understand how to use the solution safely, consistently and productively.
07
Cost monitoring
Track model consumption and optimise the implementation as usage and pricing change.
08
Ongoing improvement
Refine instructions, tools and workflows using real operational feedback and measurable outcomes.
Turn an AI idea into a secure, valuable business solution.
Speak with Unify Services about implementing Claude Cowork, Microsoft Copilot, OpenAI, Google Gemini, Amazon Bedrock, OpenClaw or a purpose-built AI agent.
✓ Technical implementation
✓ Security and governance
✓ API cost optimisation
Request an AI consultation
Tell us about the process, problem or business outcome you would like to improve.
Your initial consultation can include a high-level review of platform suitability, implementation complexity and likely operating costs.