AI PlatformThe challenges, the opportunity, and how institutions are turning scattered AI experiments into a governed capability.
of UK undergraduates now use generative AI — up from 92% a year earlier.
HEPI / Kortext Student Generative AI Survey 2026feel encouraged by their institution to use it — and only 38% are provided with AI tools.
HEPI / Kortext Student Generative AI Survey 2026Queries flow into consumer tools nobody procured — no audit trail, no accessibility review, no answer when a regulator or journalist asks: "What is your AI doing, and how do you know?"
Banning doesn't stop it — it hides it. Prohibition converts a governance problem into a discovery problem.
Capability is rarely the blocker. Pilots stall when nobody can answer the questions that come after the applause:
Every department's separate experiment is a separate contract, a separate risk review, and a separate dashboard — and the incident always lands on IT's desk.
of institutions now call AI a strategic priority — up from 49% a year earlier — while EDUCAUSE warns of a widening "digital AI divide".
EDUCAUSE 2025 AI Landscape Studyof EDUCAUSE's Top 10 IT Issues for 2026 are explicitly AI — it's now a standing item on the IT leadership agenda.
EDUCAUSE Top 10 IT Issues 2026organisations with AI agents deployed today vs. those expecting to within two years — the steepest adoption curve Gartner measures.
2026 Gartner CIO & Technology Executive SurveyAdoption is no longer the differentiator. The institutions that pull ahead will be the ones that adopt AI governed — visibly, safely, at departmental scale.
of agent conversations arrive outside office hours in published Gecko deployments — enquiries currently answered by nobody.
Published case studies: UCI, Glasgow, Birmingham DubaiStudent services, admissions, the service desk, registry, advancement — some will build their own, some want IT alongside, some want it run for them.
The department that says no — or the owner of the platform every team builds on, with one set of controls instead of eleven contracts.
The win isn't a chatbot. It's a reusable, governed capability where every new department adds value on infrastructure IT already trusts.
Assemble agents from governed prompts — or describe the outcome in plain English and review the AI-drafted blueprint.
Websites, SharePoint, Ellucian Ethos, Salesforce, and any proprietary system via the open MCP standard.
Seven AI provider families. Bring your own keys. The model is a setting, not a marriage.
One agent across web, Teams, Slack, voice, SMS, email and API — same knowledge, same guardrails.
Roles, guardrails, human approvals, encrypted secrets — and a complete trace of every run.
Crawl your websites — JavaScript pages and PDFs included — ingest SharePoint (Word, Excel, PDF), and curate a governed knowledge base. Hybrid vector + full-text retrieval with per-source relevance scores.
Ellucian Ethos makes the SIS agent-ready through its governed API — credentials never forwarded. Salesforce, Gecko Engage, and your Microsoft estate connect alongside.
Wrap approved operations from any in-house system as an MCP server. IT scopes tools per agent, one checkbox at a time — nothing granted by default.
Floating chat, inline chat or AI search on any page — one script tag, your brand, Shadow-DOM isolated. Themes are validated against WCAG 2.2 AA contrast before they can be published at all.
Agents converse where staff already work — thread-aware, with interactive approval cards landing in the same channels.
An AI receptionist answers your number and routes callers to the right agent — or warm-transfers to a human team. Outbound calls, SMS and email from workflows. Every call keeps a transcript.
Shared knowledge · shared tools · shared guardrails · one observability view — configured once, not rebuilt per channel.
Independent regional deployments in Ireland, the US and Canada. Gecko doesn't train models on your data — and BYO keys keep inference under your own provider agreement.
SAML SSO. Roles separate read, write and run across 26 resource types. API tokens are scoped, expiring, hash-stored, and capped at their creator's permissions.
30+ input guardrail detectors (flag / redact / block). Approvals as single-use cryptographic tokens in Slack or Teams. Secrets AES-256-GCM encrypted and write-only — not even admins can read them back.
of student questions answered — Amarillo College
agent success rate on live website content — University of Glasgow
saved in seven months; 63% of conversations out of hours — University of Birmingham Dubai
students supported around the clock — eCampus / University System of Georgia
to a production agent with managed implementation, on average — Lamar University: five days
institutions on the platform — across the UK, US, Canada and the Middle East
We define the outcome, connect trusted systems, configure guardrails, test, deploy and monitor. Live in under a week, on average.
Your team works alongside ours, inheriting proven patterns while capability and confidence grow.
Your trained teams create and deploy their own agents — with central controls, observability and support constant throughout.
However each department builds — self-serve, with IT, or fully managed — the capacity lands on one governed platform.
returned each year in the worked example — 2,000 enquiries/month across 3 departments, 85% AI-suitable, 8 minutes each
of team capacity, redeployed to the work that actually needs a human
in annual capacity value at a £30/hr loaded rate — ≈ £734k over a three-year horizon
No revenue speculation. Capacity is reusable staff time, stated conservatively — and every department that adopts adds its volume to the same case. Model your own numbers live at gecko.ai.
We'll help you define the outcome, the controls, and the evidence needed to turn it into a governed production agent.
AI Platform · Sales deck
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