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AI for higher educationWithin your permissions

AI that can use your systems.

Assistants connected to the student record, Moodle, CRM and service desk, within the permissions each user already has.

Within each user’s permissionsEvery action loggedYour systems of record

The problem with chatbots

A chatbot can explain the fee policy. It cannot tell a student what they owe.

Student recordMoodleCRMService deskTimetableAudit

It cannot say 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.

An AI assistant using Moodle

Who it is for

Connected to your systems, within your permissions.

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
Read our approach →

In practice

One answer drawn from four systems.

A student asks what they need to do this week. The same model works for academics and support staff.

◔

A lecture tomorrow

At 10:00, from the timetable.

▤

An assignment due

On Friday, from Moodle.

☰

Two unread announcements

In Moodle.

▢

A document waiting

The programme office is waiting for it.

See it working

A demonstration on your own systems.

We will show the same model working for students, academics and support staff.

See a demonstration →

What we have learned running it ourselves

Three things carry over.

We use AI agents in our own service desk and operations.

01

The integration layer

Is where most of the work and most of the risk sits, not the model.

02

Saying “I can’t do that”

The agent has to hand over with the full context.

03

Audit from day one

Because that is the first question a data protection officer asks.

04

Measured results

We will publish measured results as we have them, not before.

Assessment, pilot, production

Small steps, each with something to show for it.

Works with the platforms you are already buying: OpenAI, Anthropic, Microsoft, Salesforce Agentforce.

PILOT

Pilot

Three or four systems, one group of users, with logging and evaluation built in.

Logging and evaluation built in
PRODUCTION

Production

Identity, permissions, audit, monitoring and vendor choice.

Governed and monitored
MANAGED AI

Managed AI

We run it, measure it and keep it within your policy.

Within your policy

Start small: one pilot, with a scope and a cost.

Discuss a pilot →

Start here

Start with an AI Readiness Assessment.

A few days with IT and student services, fixed price.

A few daysFixed priceOne pilot
Book an AI Readiness Assessment →

What you leave with

  • 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

Proof

AI we run ourselves, before we run it for you.

The agents behind our own service desk and operations.

Dublin Business School, Aungier Street

“Inneall are very solutions driven. They find better ways of doing things. I can throw an idea at them and they’ll find a way to do it.”

EO
Edward OrmondeHead of IT, Dublin Business School
Read the DBS case study →
AI AT INNEALL

Lugh: the AI agent that answers our service desk first

Read more →
AI AT INNEALL

An AI assistant that can use Moodle, safely

Read more →
AI AT INNEALL

The Ops Agent: how our servers are checked every morning before anyone logs in

Read more →

FAQ

Common questions.

Something else? Talk to us and an engineer will answer.

Do you have preferred platforms you always recommend?

We know Moodle, Salesforce, Zoho, Sitefinity and Celcat well because they have proven themselves in colleges. We are not tied to any vendor. We start from what you need and what you already have, and we will tell you plainly if an existing platform is the right answer.

Can you help with the redesign of internal workflows?

Yes. Before we configure or build anything we sit with the people who do the work and map how it actually happens, not how the process document says it happens. We find the duplication and the friction, then design the workflow the technology will support. Better systems on broken processes do not give better outcomes.

Will off-the-shelf software meet all our needs?

Sometimes, rarely entirely. Established platforms are proven, maintainable and cost effective, but colleges have processes, compliance requirements and integrations that generic software does not cover out of the box. We use the platform where it fits and build the missing pieces where it does not, then connect everything so it works as one system.

How long does a typical project take?

A focused integration or workflow automation can be live in weeks. A full programme across recruitment, student records, learning and reporting usually runs six to twelve months. Every project is broken into short phases so you see working software early and can change direction while it is still cheap to do so.

Where is our data held and how is it protected?

Systems we host run in AWS in Ireland, with backups, monitoring and access controls in place, and we can also run inside your own AWS or Azure account. We sign a data processing agreement with every client. We are working towards ISO/IEC 27001 certification and can share our security practices on request.

Next step

AI that can use your systems.

Start with a fixed-price AI Readiness Assessment, and one pilot with a scope and a cost.

Integrators for specialised education and CRM platforms

  • Moodle
  • Salesforce
  • Zoho
  • HubSpot
  • Sitefinity
  • Celcat
  • Microsoft 365
  • AWS

Connected to your systems,
within your permissions

software developer

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
Request an assessment

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
Read our approach
strategic consulting

Assessment, pilot, production

Small steps, each with something to show for it.

  • Pilot: three or four 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
Discuss a pilot

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
Talk to us
AI & Intelligent automation

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
See a demonstration

How we do things

Partnership, transparency, user-centred design and long-term quality guide every project. Each one runs through the same six stages, so you always know where it stands and who is accountable.

 how-we-do-thingshow-we-do-mobile
DISCOVER
Audit and workshops
Scope of work
Integration mapping
Risk and dependency analysis
Finalised project plan
DESIGN
User experience
Concept proposals
Stakeholder reviews
Design development
Final specifications
Approval to progress
BUILD
Software development
System integration
Customisations
Content and data migration
Front end interface
TEST
Functional and user acceptance testing
Browser/app performance testing
Accessibility
System and security
DEPLOY
Training
Final configuration and domain go-live
Hypercare in the first weeks
Bug-fix support
Handover to support
SUPPORT
Tailored service level agreements
Responsive support
Planned maintenance
Quality control
Performance tuning

Discover how we think,
deliver and make an impact

View more
Case Studies

A Technology Partnership at the Heart of DBS’s Digital Ambition

Read more
AI at Inneall

Lugh: the AI agent that answers our service desk first

Read more
AI at Inneall

The Ops Agent: how our servers are checked every morning before anyone logs in

Read more

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

Frequently Asked Questions

Do you have preferred platforms you always recommend?
We know Moodle, Salesforce, Zoho, Sitefinity and Celcat well because they have proven themselves in colleges. We are not tied to any vendor. We start from what you need and what you already have, and we will tell you plainly if an existing platform is the right answer.
Can you help with the redesign of internal workflows?
Yes. Before we configure or build anything we sit with the people who do the work and map how it actually happens, not how the process document says it happens. We find the duplication and the friction, then design the workflow the technology will support. Better systems on broken processes do not give better outcomes.
Will off the shelf software meet all our needs?
Sometimes, rarely entirely. Established platforms are proven, maintainable and cost effective, but colleges have processes, compliance requirements and integrations that generic software does not cover out of the box. We use the platform where it fits and build the missing pieces where it does not, then connect everything so it works as one system.
How long does a typical project take?
A focused integration or workflow automation can be live in weeks. A full programme across recruitment, student records, learning and reporting usually runs six to twelve months. Every project is broken into short phases so you see working software early and can change direction while it is still cheap to do so.
Where is our data held and how is it protected?
Systems we host run in AWS in Ireland, with backups, monitoring and access controls in place, and we can also run inside your own AWS or Azure account. We sign a data processing agreement with every client. We are working towards ISO/IEC 27001 certification and can share our security practices on request.