The Challenge

Universities are adopting AI faster than they can govern it.

Many institutions report the same challenges:

01

Decentralized and ungoverned AI use

02

Manual administrative processes

03

Fragmented documentation and knowledge

04

Limited faculty training

05

Difficulty monitoring student trajectories

How It Works

From one assistant to a coordinated institutional workflow.

One assistant answers one request. A coordinated agent team completes an institutional workflow.

Research agent

Gathers data and context.

Planning agent

Defines steps and constraints.

Execution agent

Performs tasks and drafts outputs.

Reporting agent

Delivers results and records actions.

Shared objective

Permissions

Memory and context

Human approval points

Audit trail

Solutions By Area

Workflows for every area of the university.

Each workflow is a reference design. We adapt it to your systems, policies, and approval rules.

Teaching and learning

Faculty development

Research and observatories

Student trajectories

Admissions and student support

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Problem

Inconsistent course design and time-consuming assessment creation.

Agents

Curriculum mapping, assessment design, content adaptation.

Outcome

Faster, standards-aligned assessments and differentiated materials.

Teaching and learning

Faculty development

Research and observatories

Student trajectories

Admissions and student support

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Problem

Inconsistent course design and time-consuming assessment creation.

Agents

Curriculum mapping, assessment design, content adaptation.

Outcome

Faster, standards-aligned assessments and differentiated materials.

Teaching and learning

Faculty development

Research and observatories

Student trajectories

Admissions and student support

Automation Image

Problem

Inconsistent course design and time-consuming assessment creation.

Agents

Curriculum mapping, assessment design, content adaptation.

Outcome

Faster, standards-aligned assessments and differentiated materials.

Built for institutional trust.

Trust, control, and auditability come before features.

Schedule Institutional Demo

Deployment options

SaaS, private cloud, hybrid, or on-premise.

Audit logs

What is logged, who can see it, and for how long.

Ownership of outputs

Who owns content produced by agent workflows.

Human approval points

Where a person reviews or overrides agent actions.

Privacy and security review

Certifications, testing, and review process.

Data location & hosting

Where your data is stored and which regions are available.

Role-based access

Roles, faculties, departments, and SSO.

Model training

Whether customer data is ever used to train models.

Data retention

Default and configurable retention periods.

Integrations

Connects to the systems you already use.

Designed to work with your existing infrastructure, not replace it.

  • Learning management systems

    Moodle, Canvas, Blackboard

  • Student information and academic management

    SIS, records, enrollment, schedules

  • Productivity suites

    Google Workspace, Microsoft 365

  • Document management and repositories

    DMS, shared drives, approval workflows

  • Libraries and bibliographic databases

    Library systems, discovery layers

  • Communication channels

    Email, chat, notifications, help desk

Implementation

Start with one workflow. Scale with governance.

Most universities begin with a focused pilot before rolling out across the institution.

Step 1

01

Institutional Diagnosis

Map priority workflows, governance gaps, and integration needs.

Step 1

01

Institutional Diagnosis

Map priority workflows, governance gaps, and integration needs.

Step 1

01

Institutional Diagnosis

Map priority workflows, governance gaps, and integration needs.

Step 2

02

Agent-team Design

Define agents, permissions, handoffs, approval points, and data sources.

Step 2

02

Agent-team Design

Define agents, permissions, handoffs, approval points, and data sources.

Step 2

02

Agent-team Design

Define agents, permissions, handoffs, approval points, and data sources.

Step 3

03

Focused Pilot

Run a live workflow in one area or faculty and measure outcomes.

Step 3

03

Focused Pilot

Run a live workflow in one area or faculty and measure outcomes.

Step 3

03

Focused Pilot

Run a live workflow in one area or faculty and measure outcomes.

Ongoing

04

Institutional Scale-up

Roll out more workflows with ongoing governance.

Ongoing

04

Institutional Scale-up

Roll out more workflows with ongoing governance.

Ongoing

04

Institutional Scale-up

Roll out more workflows with ongoing governance.

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Campus Lab

A campus community for responsible AI adoption.

Student ambassador program

Students supporting peers and faculty in responsible AI adoption.

Student ambassador program

Students supporting peers and faculty in responsible AI adoption.

Student ambassador program

Students supporting peers and faculty in responsible AI adoption.

AI fluency course

Institutional AI literacy for staff and faculty.

AI fluency course

Institutional AI literacy for staff and faculty.

AI fluency course

Institutional AI literacy for staff and faculty.

Campus Builder Clubs

Faculty and staff co-designing agent workflows for their units.

Campus Builder Clubs

Faculty and staff co-designing agent workflows for their units.

Campus Builder Clubs

Faculty and staff co-designing agent workflows for their units.

Coming Soon

Hackathons and demo days

Events to surface and test useful agent workflows.

Hackathons and demo days

Events to surface and test useful agent workflows.

Hackathons and demo days

Events to surface and test useful agent workflows.

Faculty workshops

Hands-on sessions on governance, prompt design, and workflow integration.

Faculty workshops

Hands-on sessions on governance, prompt design, and workflow integration.

Faculty workshops

Hands-on sessions on governance, prompt design, and workflow integration.

Community knowledge base

Shared templates, governance examples, and workflow patterns.

Community knowledge base

Shared templates, governance examples, and workflow patterns.

Community knowledge base

Shared templates, governance examples, and workflow patterns.

Plans

Flexible tiers for every stage of adoption.

Pricing depends on institution size, users, workflows, integrations, support, and governance requirements.

Discovery

Self-service resources, public workflows, and limited sandbox exploration.

Request a proposal

Pilot

A focused pilot in one area or faculty, with support, governance setup, and integration assistance.

Request a proposal

Enterprise

Multi-area deployment, advanced governance, custom integrations, dedicated support, and training.

Request a proposal

Frequently
asked
questions

What is Kolmena Campus?

An institutional AI agent platform for universities: coordinated, governed agent teams that support academic and administrative workflows, not isolated chat sessions.

Is it a chatbot or an agent platform?

Where is institutional data stored?

Is customer data used to train models?

Can it connect to our LMS or student information system?

Who approves and monitors workflows?

How long does a pilot take?

Who is usually involved in the decision?

Design your university’s first governed AI workflow.

The platform for collaborative AI swarms.
From single agents to intelligent teams.

Product

Platform

Swarms

Developers

Campus

Marketplace

Pricing

Use Cases

Trading Floor

Customer Support

Immigration Consultant

Financial Advisor

Credit Analysis

Company

Documentation

Contact

Privacy Policy

Terms & Conditions

Brand Assets

© 2026 Kolmena. All rights reserved.

The platform for collaborative AI swarms.
From single agents to intelligent teams.

Product

Platform

Swarms

Developers

Campus

Marketplace

Pricing

Use Cases

Trading Floor

Customer Support

Immigration Consultant

Financial Advisor

Credit Analysis

Company

Documentation

Contact

Privacy Policy

Terms & Conditions

Brand Assets

© 2026 Kolmena. All rights reserved.