AI that improves
the course development workflow —
not just the content.
OPMs and online learning teams are under pressure to build and refresh courses faster, at greater scale, with no reduction in academic quality. LearningMate/Straive embeds AI into real production workflows — design, authoring, review, assessment, QA, and accessibility — in a governed, human-led way that your university partners will trust.
The operational pressures your production team is already managing.
These are the challenges we hear before OPMs and online programme teams engage us. If more than two of these apply, there is a concrete workflow improvement available.
"Course build and refresh cycles are slow — and the pace the institution demands keeps increasing."
Multiple university partners, each with different brand standards, academic review processes, and style requirements. Every new programme launch or course refresh consumes significant design, authoring, and QA resource. The production backlog grows faster than capacity.
"Faculty and SMEs don't have time — getting usable input is a bottleneck at every stage of production."
Academic subject matter experts are stretched. Scheduling workshops, extracting usable content from recorded lectures, and managing review timelines with faculty who have teaching commitments are consistent friction points across every programme build.
"Our learning designers are spending too much time on tasks that shouldn't require their expertise."
Structuring raw SME notes, formatting first drafts, producing quiz items to fill out an assessment, and running basic accessibility checks — these tasks occupy skilled instructional designers who should be focused on the learning experience decisions that actually require their judgment.
"QA, accessibility, and alignment issues are being caught too late — after content has moved through production."
When accessibility failures, ADA/WCAG compliance gaps, or misaligned learning objectives are found at the end of a production cycle, the cost and delay to fix them is significantly higher than if they had been caught at authoring stage. The workflow doesn't catch them early enough.
"Teams are experimenting with AI tools individually — but there's no governed, embedded workflow across the team."
Individual use of ChatGPT, Copilot, or other AI tools may be happening informally. The risk is inconsistency, ungoverned output quality, and AI-generated content that doesn't meet university partner standards or academic integrity requirements. Ad-hoc experimentation is not the same as a governed workflow.
"We need to improve production efficiency without compromising academic quality or adding permanent headcount."
The business case for scaling online provision depends on improving output per team member. But headcount growth has costs, risks, and lead times. The efficiency gain needs to come from workflow improvement — not from adding people to an already-strained process.
AI improves the development workflow. Human experts keep control of quality.
We embed AI at specific workflow stages where it reliably reduces effort without compromising instructional quality — then build human review, approval gates, and governance into the architecture so your university partners are never exposed to ungoverned AI output.
Governance built into the workflow — not bolted on afterwards
University partner standards, academic review requirements, and editorial quality gates are built into the workflow design. AI outputs are never passed to partners without human review and sign-off. The governance is architectural — not a process that depends on team discipline alone.
AI Content Workflow Discovery Sprint
Map your current course development workflow. Identify the highest-value AI integration points. Select one priority workflow to improve first. Define governance, review gates, and quality safeguards. 2–4 weeks, fixed scope.
Pilot Workflow Delivery
AI integrated into one selected workflow — course blueprint, authoring, assessment, or QA — with your team in the review loop throughout. Efficiency and quality data captured. Workflow validated with real content before scaling.
Scale & Embed Across Production
Proven AI workflow deployed across your full course development operation. Training, governance documentation, and quality review processes embedded. Ongoing managed delivery or embedded team model depending on what fits your operating model.
Specific, tangible outputs across the course development lifecycle.
We do not deliver an AI tool and leave your team to figure it out. We redesign the workflow, embed the AI, govern the output, and deliver production-quality content your university partners will trust.
AI-Accelerated Course Blueprint
Module structures, learning objectives, activity frameworks, and pacing guides generated from course brief and partner standards — in hours, not days. Expert-reviewed before any authoring begins. Structured for reuse across programmes.
Hours, not daysSME Content Transformation
Recorded lectures, raw notes, academic papers, and reading lists transformed into structured, learner-ready draft content — reducing the burden on faculty while preserving their academic voice and subject authority.
Reduces faculty burdenAssessment Generation & Rubrics
Quiz items, scenarios, discussion prompts, rubrics, and feedback stems drafted by AI to brief — validated by learning designers before use. Outcome alignment checked. Volume assessment at pace without quality compromise.
Volume, validatedMedia Scripts & Storyboards
Explainer video scripts, animation storyboards, interactive concept designs, and podcast outlines — AI-generated from module content and reviewed before production handoff. Rich media without the traditional timeline.
Production-ready handoffEmbedded QA & Accessibility
Readability, WCAG compliance, DEI review, learning objective alignment, and academic standards checks embedded throughout authoring — not as a final pass. Issues caught when they're cheapest to fix. Shift-left quality by design.
Caught early, not lateGovernance Framework & Workflow Documentation
AI usage policies, review gate checklists, quality standards aligned to your university partner requirements, and team training materials — so the governed workflow is embedded in your team's practice, not dependent on our presence.
Embedded, not externally heldOPM-scale delivery experience, combined with governed AI integration.
Plenty of AI tools exist. Very few providers understand the operational reality of OPM-scale course production — the partner standards, academic review constraints, and quality requirements that make ungoverned AI integration a risk.
We understand OPM-scale course production
We have worked in large-scale online programme production environments — across multiple university partners, each with different brand standards, academic review processes, and learner quality expectations. Generic AI consultants don't carry this operational knowledge.
We redesign the workflow, not just recommend tools
Introducing an AI tool into a broken workflow produces faster broken content. We map the production process, identify where AI creates reliable value, and rebuild the workflow around it — with governance and review gates that make the output trustworthy.
Governance your university partners can trust
Academic quality, partner standards alignment, and editorial review requirements are not optional constraints — they are the operating environment. We design AI governance frameworks that meet these requirements from the start, not retrofitted afterwards.
Start small, prove it, then scale
No big commitment required. We begin with a 2–4 week discovery sprint on one workflow — producing a validated, governed AI integration that your team can use immediately. Scale decisions are made on evidence, not a promise.
Human-led throughout — AI supports, not replaces
Learning designers, editors, faculty reviewers, and QA specialists remain in the loop at every gate. AI reduces the blank-page problem and the consistency overhead. Humans determine what the learner experiences. That boundary is architectural.
Delivery capacity to match your ambition
As part of Straive, LearningMate brings access to 3,000+ education specialists globally — providing delivery depth across instructional design, content, media, assessment, accessibility, and platform integration at whatever scale your programme portfolio requires.
OPM-scale delivery experience — at volume, with quality.
Online Programme Production — OPM Partners
Supporting large-scale online programme delivery across course design, authoring, review, assessment, media, accessibility, and platform readiness.
LearningMate/Straive supports large-scale online programme production across OPM environments — covering course blueprint, instructional design, SME content transformation, assessment generation, media production, LMS accessibility, and platform readiness. Our teams work embedded within OPM production operations, aligned to university partner standards, academic review processes, and learner quality expectations. We are able to reference OPM-scale delivery experience — speak to Kylie about what is approved for external use and which case detail can be shared with your organisation.
Durham University
"LearningMate is a trusted partner who gives us flexibility and scalability. They are committed to quality, excellence, and innovation — and they genuinely care about our success as an organisation." — John Hemingway, CIO
AI workflow validation — not experimentation
We have built and governed AI-integrated content workflows in production environments where academic quality and partner standards are non-negotiable. This is not a theoretical capability — we can show you the workflow in operation.
Straive group delivery scale
As part of Straive, LearningMate can scale AI-enabled course production across geographies — providing resilient, multi-time-zone delivery capability for large programme portfolios with peak production demands.
See the AI-enabled workflow in operation — Introduction to Data Ethics.
Walk through all 7 workflow stages using a realistic sample course unit. See what AI supports at each stage, what it produces, and where human review and approval happen. Click each stage to explore the inputs, AI outputs, and human decision points — with governance visible throughout.
Opens in a new tab. Generic prototype — no institutional content required to explore.
LearningMate is a trusted partner who gives us flexibility and scalability. They are committed to quality, excellence, and innovation — and they genuinely care about our success as an organisation.
Durham University
What part of your content workflow could AI improve first?
Let's explore one workflow, one course type, or one production bottleneck — and identify where AI could safely reduce effort, improve consistency, or accelerate delivery without compromising your university partner standards. A 30-minute conversation. No pitch deck, no discovery form.
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