There is a number most SENDCos know instinctively but rarely say out loud.
Somewhere between 45 minutes and an hour and a half. Per plan. From scratch.
That is how long it takes to write a Differentiated Learning Plan, an Individual Learning Plan, or a Behaviour Support Plan at a standard that would survive scrutiny from a parent, an inspector, or a local authority SEND team. Not a rushed draft. Not a template with three fields filled in. A proper, evidence-informed, SMART-targeted plan that reflects what you actually know about the child.
If you have never timed yourself, try it. You may find the number is higher than you thought.
The honest answer: 45 to 90 minutes per plan
The range is wide because context matters. A newly identified pupil with limited prior documentation takes longer than a pupil you have supported for three years and know inside out. A BSP with complex behavioural targets takes longer than a DLP for a pupil with clearly defined literacy needs. A plan for an EHCP assessment takes longer than an interim review update.
But 45 minutes is a reasonable floor for a plan written properly. Ninety minutes is not unusual for more complex cases. And that figure does not include the time spent chasing teacher input, sourcing the right strategies, checking the evidence base, or formatting the document to your school's template.
It also does not include the review cycle. Writing the original plan is one task. Reviewing it, updating targets, and documenting what happened takes another significant chunk of time — typically 30 to 45 minutes per review, per pupil, per term.
What that means across a caseload
Here is where the numbers become uncomfortable.
The average SENDCo caseload in a secondary school in England is somewhere between 150 and 250 pupils, depending on the school's size and demographics. A large primary might have 80 to 120. An international school with a high proportion of identified learners might have more.
Take a conservative figure: 100 pupils, each needing one plan review per term, each taking an average of one hour to review and update.
That is 100 hours of plan writing per term. Roughly 300 hours per year. Before you have attended a single review meeting, written a single referral letter, spoken to a single parent, supported a single teacher, or done any of the actual inclusion work that a SENDCo exists to do.
This is not a technology problem. It is a professional capacity problem that technology can help solve — if it is the right technology and it is used the right way.
What changes with new plans versus annual reviews
It is worth separating two distinct tasks because they have different time profiles.
Writing a new plan from scratch is the more demanding job. You are starting with a blank page or an empty template. You need to identify the right need areas, select appropriate SMART targets, choose evidence-based strategies, link provision, and write everything in language that is clear to teachers, meaningful to families, and defensible to inspectors. For a newly identified pupil or a pupil transferring from another setting, this regularly takes 60 to 90 minutes.
Reviewing an existing plan is faster in theory — you are updating rather than creating. In practice, a genuine review that interrogates whether the targets were right, whether the strategies worked, and what needs to change is not a quick task. A review that simply moves dates forward and marks targets as partially met is not a real review. It is the kind of review that causes problems when an EHCP tribunal or an Ofsted inspector looks closely at your records.
The time pressure that comes from managing a large caseload is precisely the pressure that pushes SENDCos toward the faster, shallower review rather than the thorough one. That is not a character failing. It is arithmetic.
What AI-assisted drafting actually changes
The honest answer to this question matters, because there is a version of the AI-assisted plan claim that is oversold, and a version that is accurate.
The oversold version: AI writes the plan for you.
The accurate version: AI writes a high-quality first draft grounded in cited evidence, which you then review, edit, and approve.
That distinction sounds small. In practice it changes the experience of plan writing entirely.
When you start with a blank page, every decision about every target, every strategy, and every piece of provision is work you have to generate from nothing. The cognitive load is substantial, particularly at the end of a day when you have already done six other things.
When you start with a well-structured first draft that has already identified appropriate target domains, suggested evidence-based strategies with named sources, and proposed SMART success criteria, your job changes. You are no longer generating content from nothing. You are reviewing, refining, and approving. You are applying your professional knowledge of the specific child to a structured starting point.
For most SENDCos, that shift reduces plan writing time from 45 to 90 minutes to somewhere between 10 and 20 minutes per plan. The saving is not in cutting corners. It is in removing the blank-page problem.
That 10 to 20 minutes still matters. It is the time you spend checking that the AI draft reflects what you actually know about the child. Adjusting a target that the system got slightly wrong. Adding a detail about the family context that changes the approach. Removing a strategy that has already been tried and documented as ineffective. These are professional judgements that only you can make. They are exactly the judgements you should be spending your time on.
What the evidence base does
There is a second dimension to this that goes beyond time saving.
Most SENDCos are confident in the strategies they know. The interventions they have used before, the approaches that worked for similar pupils, the resources they return to regularly. But a caseload of 100 or 200 pupils covers an enormous range of need types, and no individual practitioner can hold the full evidence base for every area across their entire caseload simultaneously.
When every strategy suggestion in a plan is drawn from a named, citable source — the Education Endowment Foundation, NICE guidelines, nasen best practice, Hattie's Visible Learning — the plan is more defensible, more consistent, and more likely to reflect current evidence than one produced under time pressure from memory alone.
That is not a criticism of SENDCo professional knowledge. It is an acknowledgement that the evidence base is large, it changes, and individual memory is not a reliable retrieval system under pressure.
The professional review principle
One thing that does not change with AI-assisted drafting: the professional responsibility for every plan rests with the qualified practitioner who approves it.
OMNIA does not diagnose, assess, or conclude. It drafts. The SENDCo decides. Every plan generated by OMNIA is presented as a starting point for professional review — not as a finished document. Every strategy is cited so the reviewer can check the source. Every target is editable so the reviewer can apply their knowledge of the specific child.
This is not a legal disclaimer. It is a professional principle built into the way the platform works. An AI that drafts without professional oversight is a liability. An AI that drafts well and makes professional oversight faster, easier, and more evidence-grounded is a tool.
The distinction matters because the professional accountability that comes with a SENDCo qualification, a NASENCo, or a Master's in SEND does not transfer to software. It stays with you. OMNIA's job is to make sure that accountability is exercised on the best possible foundation.
The calculation that makes the case
Return to the numbers. If AI-assisted drafting reduces plan writing time from 60 minutes to 15 minutes per plan, across a caseload of 100 pupils reviewed three times per year, that is 225 hours saved annually.
225 hours. Per year. Per SENDCo.
That is not a marginal efficiency improvement. It is a structural change in what a SENDCo's working week looks like. It is the difference between a SENDCo who spends most of their professional time on documents and a SENDCo who spends most of their professional time on pupils, families, teachers, and the actual work of inclusion.
If you want to see what that looks like in practice, request a demo and we will show you a plan being drafted and reviewed from start to finish. You can time it.
OMNIA Inclusion Ltd is an AI-powered SEND management platform built by a qualified SENDCo. Plans are grounded in 38 independent evidence sources and reviewed by the qualified practitioner before use. OMNIA is consistent with DfE AI in Education guidance (May 2026).