There’s real pressure on academic teams to ‘use AI’, and just as much justified caution about data, accuracy, and integrity. We start from your actual work, not the hype — finding the handful of places AI genuinely helps, and putting the governance in place so you can move faster without crossing a line.
What’s included
Workflow design
We find the real use cases — summarising, drafting, triage — and build them into the tools you already use.
Governance & policy
Clear, defensible rules on data, accuracy, and disclosure that satisfy your institution.
Team enablement
Hands-on training so your team is confident and capable, not just licensed.
Ongoing iteration
We keep refining what works as the tools — and your needs — evolve.
How it works
It meets your team where they already work.
We don’t add another tool to learn. We sit a governed layer of AI between the systems your team already uses — Microsoft 365, Google Workspace, Slack, your CMS — so the help arrives inside their day, not in yet another tab.
Where it helps
Real use cases, not science projects.
We start from the work your team actually does and find the handful of places AI earns its keep — always with a person in the loop where it counts.
Literature triage
Summarise and cluster papers so researchers read what matters instead of hunting for it.
Enquiry handling
First-pass drafts for routine student and member enquiries — reviewed, never sent blind.
Bids & reporting
Turn notes and data into structured first drafts of grant bids, reports, and updates.
Meeting capture
Notes, actions, and summaries captured automatically and shared with the right people.
Support assistants
Knowledge-base assistants that answer common questions from your own approved content.
Data in plain English
Ask questions of your own spreadsheets, surveys, and systems — and get readable answers.
Beyond your team
And into the platforms your audience uses.
Augmentation isn’t only about your team’s working day. The same governed approach lets us build AI into the websites and platforms your students, members, and researchers rely on — whether we’re starting a new project or improving one you already run.
Into new projects
When we build a new site or platform, AI can be designed in from the start — a smart course or programme finder, guided application journeys, an assistant that answers only from your approved content. Accessible and governed from day one, not bolted on later.
Smart course & content finders
Guided application journeys
Assistants trained on your own content
Into existing projects
Already have a site you value? We can layer AI into it without a rebuild — semantic search across content you already hold, a knowledge-base assistant, automatic tagging of a back catalogue — so it does more for your audience without starting over.
Knowledge-base assistants
Smarter search over existing content
Automatic tagging & classification
Either way the benefit is the same: visitors find what they came for faster, the content you already have works harder, and it runs on the same lean, governed stack we build everything on — no rip-and-replace, and no runaway cost.
How we work
A curated process, start to finish.
01
Audit
We map where time actually goes and where AI could genuinely help.
02
Govern
A policy and guardrails agreed with you before anything goes live.
03
Integrate
Use cases built into your existing tools, with prompts and patterns documented.
04
Enable
Training and support so the team owns it — and it sticks.
Frequently asked
Is our data safe — does it train the models?
We design every workflow so your data isn’t used to train public models. Where it matters we use enterprise tiers with tenancy controls, and we document exactly where data goes and why.
How do you handle accuracy and ‘hallucinations’?
We scope AI to tasks where it’s reliable, keep a person in the loop for anything sent or published, and build in checks. AI drafts; people decide.
What about academic integrity?
We help you set clear, defensible rules on disclosure and acceptable use — so AI supports staff and researchers without ever crossing an integrity line.
Will this replace people’s jobs?
No — the goal is to remove the drudge work, not the people. Teams get time back for the work that actually needs them.
Which tools do you use?
Whatever fits — Microsoft Copilot, Google Gemini, Claude, OpenAI and others — chosen for your governance needs and woven into the tools you already have.
How do we start?
A short audit of where time goes, then one or two high-value, low-risk use cases to prove the value before going any wider.
Know someone who’d benefit from working with us?
If there’s an academic, society, or research organisation you think we could help, introduce us — and take advantage of our generous referral rewards programme.
Start a conversation
Tell us about the work you’re doing.
The best projects start with understanding the academic work behind them. Book a 30-minute call — no pitch deck, no pressure, just a conversation about what you’re trying to do.
Or email oc.ygolocet@ofni — we reply within one working day.