AI that can use
your systems
Assistants connected to the student record, Moodle, CRM and service desk, within the permissions each user already has.
Platforms we run and connect for colleges


Connected to your systems,
within your permissions

Start with an AI Readiness Assessment
A few days with IT and student services, fixed price.
- Your systems, data and access paths mapped
- Ten use cases ranked by value, difficulty and data risk
- One recommended pilot, with a scope and a cost
- The governance questions answered before anyone asks them
The problem with chatbots
A chatbot with a knowledge base can explain the fee policy. It cannot tell a student what they owe, when their next class is, or whether yesterday's request has been picked up, because it has no governed way to reach the systems that know.
- The SIS, VLE, CRM and service desk stay the systems of record
- The assistant uses them through narrow, authenticated, logged integrations
- A user sees through the assistant only what they could already see in the underlying system
- Every action is recorded and can be reviewed
- See the Moodle connector we built


Assessment, pilot, production
Small steps, each with something to show for it.
- Pilot: two or three systems, one group of users, with logging and evaluation built in
- Production: identity, permissions, audit, monitoring and vendor choice
- Managed AI: we run it, measure it and keep it within your policy
- Works with the platforms you are already buying: OpenAI, Anthropic, Microsoft, Salesforce Agentforce
What we have learned running it ourselves
We use AI agents in our own service desk and operations. Three things carry over.
- The integration layer is where most of the work and most of the risk sits, not the model
- The agent has to be able to say "I can't do that" and hand over with the full context
- The audit trail has to be designed in on day one, because that is the first question a data protection officer asks
- We will publish measured results as we have them, not before
In practice
A student asks what they need to do this week and gets one answer drawn from four systems.
- A lecture tomorrow at 10:00
- An assignment due on Friday
- Two unread announcements in Moodle
- A document the programme office is waiting for
- The same model works for academics and support staff
How we do things
We’re guided by our delivery principles of partnership, transparency, user-centred design and long-term quality. Ensuring a structured, collaborative framework and clarity and accountability at all times.


DISCOVER
Scope of work
Integration mapping
Risk and dependency analysis
Finalised project plan
DESIGN
Concept proposals
Stakeholder reviews Design development
Final specifications
Approval to progress
BUILD
System integration
Customisations
Content and data migration
Front end interface
TEST
Browser/app performance testing
Accessibility
System and security
DEPLOY
Final configurations and domain go-live
Support and monitoring
Bug-fix support
Performance tuning
SUPPORT
Responsive support
Planned maintenance
Quality control
Performance tuning
We love API environments
and the challenge of integration
We’ve integrated systems others refused to touch!
“Inneall’s impact on our ability to deliver reliable, scalable technology has been absolutely enormous. What sets them apart is their deep knowledge of our business, they understand our systems, our teams, and our priorities. That means we’re not dealing with a technology supplier; we’re working with a partner who genuinely cares about getting it right.”
Edward Ormonde
Head of IT, Dublin Business School
