AI agents
AI agent development and consultancy for Microsoft 365 and Azure
Konsolute designs, builds and deploys AI agents that connect your people, knowledge and business systems. From Copilot Studio agents to bespoke Azure solutions, we take the right agent from idea to production, with security and human oversight built in.
BUSINESS BENEFITS
Help people find answers and get work done
AI agents do more than hold a conversation. With approved knowledge, connected tools and defined permissions, they help employees find information, complete tasks and move work through business processes.
Give people time back
Reduce repetitive administration and information gathering so employees can focus on work that needs their expertise.
Improve access to knowledge
Make policies, documents and specialist guidance easy to find through authorised knowledge sources.
Connect disconnected processes
Connect requests, checks and approved actions across applications, reducing manual handovers and duplicate data entry.
Support consistent delivery
Use defined workflows and business rules to guide repeatable tasks, with review and escalation when needed.
HOW TO WORK WITH US
Three ways to get your first agent live
Start with a fixed-price discovery workshop to find the right use case, build your first agent as a focused pilot, then scale and support it across your organisation.
Start here
AI agent discovery workshop
For: Organisations exploring where agents could help
What you get
Then
Agent build and pilot
For: A defined use case ready to build
What you get
Scale and support
Agent operations and improvement
For: Organisations with agents in production
What you get
OUR AI AGENT SERVICES
From an idea to a working AI agent
Start with a single agent for one team or build a set of agents that share knowledge, integrations and governance across your organisation.
Use case discovery
Identify the processes, pain points and knowledge gaps where an agent will make a measurable difference, then prioritise them.
Agent design
Define the agent's purpose, users, information sources, permitted actions, points of human oversight and success measures.
Copilot Studio agents
Configure and extend Copilot Studio agents for Microsoft 365, Teams and your intranet, using approved knowledge and connectors.
Bespoke Azure agents
Build tailored agents with Azure OpenAI and Microsoft Foundry where your requirements go beyond what Copilot Studio offers.
System integration
Connect approved applications, APIs and Power Automate workflows so the agent can take action, not just answer questions.
Security, testing and support
Design identity, access and oversight controls, test real scenarios before release and improve the agent from live results.
THE RIGHT APPROACH FOR YOUR REQUIREMENT
Copilot Studio, knowledge, integrations and bespoke Azure agents
We start with the business problem and choose the right agent architecture: standard Microsoft capabilities, custom integrations or a bespoke build, depending on complexity, controls and long-term support needs.
Configure Microsoft capabilities
Use Copilot Studio where its built-in capabilities meet the agent's purpose and delivery requirements.
Extend with purpose
Extend the agent with approved organisational content and actions for a defined business process.
Organisational knowledge
Help people find relevant information from maintained, authorised knowledge sources, with references.
Content and access foundations
Define how content is selected, updated and accessed, so the agent has a dependable foundation.
Connected enterprise systems
Connect agents to business applications through agreed interfaces, authentication and error handling.
Controlled actions and workflows
Allow defined actions while keeping approvals and exception handling wherever the process requires them.
Custom agent architecture
Engineer a tailored solution with Azure OpenAI and Microsoft Foundry when requirements go further.
Production operations
Plan deployment, monitoring and maintenance around the agent's operational role and its owners.
ENTERPRISE-READY AI
Security, governance and responsible AI
An agent needs clear boundaries around what it can access, what it can do and when it must involve a person. Our security-cleared consultants build agents for nuclear and central government organisations, with those controls designed in from the start.
Identity and access
Define the access required for each information source and action, with permissions appropriate to the use case.
Human oversight and approval
Identify where outputs need review and where actions need explicit approval or escalation.
Monitoring and auditability
Log and monitor agent activity so teams can investigate behaviour, failures and unexpected outcomes.
Responsible AI operations
Assign ownership, test realistic scenarios and manage change as knowledge, integrations and requirements evolve.
OUR APPROACH
A clear process with tangible deliverables at every stage
Understand what happens at each stage and what your team receives, from the first workshop to a supported agent in production.
1. Discover and prioritise
Identify users, process needs, knowledge sources and the outcomes you want to improve.
You receive: a ranked use case shortlist and agent scope.
2. Design the agent
Agree knowledge, actions, access, oversight and success measures.
You receive: an agreed agent design and delivery plan.
3. Build and validate
Configure or develop the agent, connect systems and test real and failure scenarios.
You receive: a tested agent with evaluation results.
4. Deploy and improve
Release through agreed controls, support adoption and refine using feedback.
You receive: a live agent, runbooks and agreed support arrangements.
EXAMPLE AI AGENTS
What could we build for you?
Design an agent around the work your teams need to complete. These examples are a starting point; the right scope depends on your information, systems and control requirements.
WHAT YOUR TEAM RECEIVES
A working agent with a purpose, boundaries and an owner
Deliverables reflect the agreed scope. Your team receives the design decisions, working agent, evaluation evidence and procedures needed to run and improve it.
Agent design
A documented purpose, users, knowledge sources, permitted actions, oversight points and success measures for the agent.
Working agent
The configured or developed agent with its integrations, permissions and environment settings documented for release.
Evaluation evidence
Test results covering real scenarios, unclear requests, missing information, failed integrations and out-of-scope actions.
Operational handover
Runbooks, monitoring, knowledge update procedures, licensing and consumption notes, and agreed support responsibilities.
FAQ
AI agent FAQs
Discovery, development, integration and security, explained.
An AI agent uses approved information and tools to complete defined tasks. Depending on its design, it can answer questions, gather information, coordinate workflows or perform approved actions across connected systems.
A chatbot mainly answers questions. An agent can also use tools and take part in multi-step processes, such as creating a service request or starting an approval. We define the behaviour and controls the task needs.
Microsoft 365 Copilot is a general assistant inside Word, Outlook, Teams and other apps. An agent is built for one job, such as HR enquiries or service requests, with its own knowledge, actions and controls. Agents can run inside Copilot or on their own.
Yes. We define use cases, design and configure Copilot Studio agents, connect knowledge and systems, and set up testing, governance and support.
Yes. We configure Copilot Studio where it fits, and build bespoke agents with Azure OpenAI and Microsoft Foundry where requirements need a tailored approach.
Yes, in most cases. We connect agents through approved connectors and APIs, with each action explicitly scoped and approval required where it matters.
Agents only access approved knowledge and tools, using your existing permissions. We test access behaviour, add human approval for sensitive actions, and set up monitoring and ownership before release.
A discovery workshop takes one to two weeks. A focused agent typically takes two to six weeks to build and pilot, depending on the knowledge preparation and integrations involved.
The discovery workshop is fixed price. Each agent build is then scoped and quoted from the workshop findings, with licensing and consumption costs shown separately.
Let's build what's next
Start with an AI agent discovery workshop
In one to two weeks you will know which agent to build first, what it will connect to, how it will be controlled and what it will cost. Fixed price, no obligation to continue.