Services / Training
Designed from the top down. Vertically across leadership, function heads, and team. Horizontally across the functions and individuals that matter most. Anchored in your real work, paced to your business's AI Grading.
Definition
Bespoke AI training is a scoped programme that builds working AI capability across a business. Every engagement is designed top-down, starting with a short leadership conversation on governance and approval, then layered across the functions and individuals that matter most. Content, pacing, and depth are scoped to the business's current AI Grading — a three-stage capability framework (Grade 1 unstructured use, Grade 2 consistent individual practice, Grade 3 shared business-wide capability) — and to the literacy of the people in the room. Training is most effective when it follows an AI Transformation Roadmap or runs alongside an AI Consulting engagement, so the work being taught is the work the business has decided to do.
The problem
Most AI training does not stick because it is sold as a workshop rather than a capability change. A vendor came in, ran a half-day session, showed the team how to use ChatGPT, and left. Two weeks later, a handful of people were still using it. The rest had drifted back to their old workflow.
The pattern is predictable. Off-the-shelf training treats the business as a single audience and ignores three things at once: leadership has not agreed what is approved, different functions need different content, and individuals start at different levels of AI literacy. A one-day workshop addresses none of the three.
AI Grading
Three grades describe the capability arc a programme is designed to move a business through. Every engagement targets a specific grade progression, scoped to where the business starts.
Grade 1
AI tools used individually, ad hoc, with no shared conventions. Some team members use Copilot or ChatGPT; most do not. No business-wide guidance on what is approved for which work.
Grade 2
Every team member can navigate the business's AI tools confidently and apply them to their core work. A trust-but-verify habit is established. Individuals can experiment independently.
Grade 3
A shared mental model across the business, a consistent approach to prompting, and agreed governance. Leadership understands what they are endorsing and why. AI use is normalised rather than ad hoc.
A typical engagement moves a business from Grade 1 to Grade 2 or 3 depending on scope. Businesses already at Grade 2 usually engage to lock in shared governance and reach Grade 3.
How we scope
Every engagement is scoped along two axes.
Vertical
The leadership track comes first. Partners, directors, and the executive team need a defensible position on tool approval, client confidentiality, and shadow AI before the rest of the business starts using the tools in earnest. The team track follows with that endorsement already in place.
Horizontal
Different functions have different workflows. A deal team and a compliance team get different worked examples. Different individuals start at different levels of AI literacy. We scope the content to who is actually in the room, anchored in the work they actually do.
What you get
Every programme is built from the same set of components. The mix depends on the business and the target grade.
A focused, decision-oriented session with the leadership team before the wider training begins. Outputs are the business-wide guidelines the leadership is comfortable putting their names to: which tools are approved, for which work, at what level of data sensitivity.
A series of one-to-three structured sessions for the whole team or a defined function. Each session combines live exercises against the team's real work, a between-session activity, and a short review at the next session. Sessions are short and frequent rather than long and rare.
A parallel track for partners, directors, or executives covering the same curriculum with more room for peer-level discussion on governance, business-wide adoption, and how to model the behaviour they want to see in the team.
Optional individual sessions for senior people who want their own implementations, prompt templates, or workflows reviewed directly by a SeidrLab partner. Useful where a senior leader is the constraint on adoption.
Optional written policy delivered as a programme output. Documents the business's agreed position on tool approval, client confidentiality, shadow AI, and consumer vs enterprise products. Reviewed and signed off by leadership before the engagement closes.
A structured debrief two-to-four weeks after the final session. We measure what is sticking, surface where adoption is drifting, and produce a short written recommendation on what to invest in next.
Fit
Scope and pricing
Training engagements vary by scope: the number of tracks, the depth of customisation, the functions in scope, and whether the engagement includes one-to-one coaching or a written AI policy. Every engagement is quoted as a fixed fee against a defined scope, agreed in writing before signing. No hourly billing. No surprise invoices.
A 30-minute discovery call is the fastest way to get a realistic number. We will assess your starting AI Ability Grade, scope the right shape for the engagement, and follow up with a proposal you can take to the leadership group.
Who you'll work with
The partner who scopes the engagement is the partner doing the work.
Managing Partner
Founder of SeidrLab, Harry specialises in data science and AI strategy for mid-market companies. 10+ years building data systems for tech companies.
Partner
Partner at SeidrLab, Justin specialises in product design. 15+ years of global experience, he has lead product strategy at high-growth tech companies.
Partner
Partner at SeidrLab, Craig is an established entrepreneur and growth strategist. He's spent 10+ years building and scaling companies in global markets.
Partner
Partner at SeidrLab, Pat specialises in AI engineering and software development. Former enterprise engineer with expertise in smart automation at scale.
FAQ
Bespoke AI training is a scoped programme that builds working AI capability across a business from the top down, anchored in the business's real work rather than generic examples. Every engagement is scoped to which functions and roles are in scope, what their starting AI Grading is, what tools they already have access to, and what good looks like at the end. Programmes typically combine a short leadership governance conversation, a small number of team sessions, an optional leadership track, optional one-to-one coaching, and an optional written AI policy.
We scope along two axes: vertical (how the engagement layers across leadership, function heads, and the broader team) and horizontal (which functions and roles are included, and what their existing AI literacy looks like). We assess your starting position against the AI Ability Grade — Grade 1 (unstructured use), Grade 2 (consistent individual practice), Grade 3 (shared business-wide capability) — agree the target grade, and build the programme from there.
The AI Ability Grade is a three-stage AI Grading framework SeidrLab uses to scope every training engagement. Grade 1 is ad-hoc, individual use with no shared conventions. Grade 2 is consistent individual practice across the team, with a trust-but-verify habit established. Grade 3 is shared capability with agreed governance and leadership endorsement. We assess the business's current grade during discovery and design the programme to move the team to the next grade or two.
Most SeidrLab AI training programmes run across four-to-six weeks of elapsed time. The team's actual time commitment is kept light: typically three short sessions per track, plus a leadership governance conversation, plus an optional debrief. Longer programmes are possible where a written AI policy or one-to-one coaching is included in the scope.
Every SeidrLab training programme is quoted as a fixed fee against a defined scope, agreed in writing before signing. The fee depends on the number of tracks, the depth of customisation, and whether the engagement includes one-to-one coaching or a written AI policy. The fastest way to get a realistic number is a 30-minute discovery call.
SeidrLab is tool-agnostic and trains on the stack the business already has. For most businesses that is Microsoft Copilot, Anthropic Claude, or OpenAI ChatGPT, often paired with a vertical tool. We will recommend a stack as part of the programme if the business has not standardised. We do not resell AI platforms and we do not have a referral relationship with any AI vendor.
Yes — senior scepticism is usually credibility-driven, not ideological. The leadership conversation is designed for that audience: decision-oriented, anchored in real work, no generic demos. We bring real outputs from real work so the room can judge the quality directly rather than taking a vendor's word for it.
Yes — every SeidrLab training engagement is anchored in the business's real workflows. For an M&A advisory business that means pitch preparation, IM drafting, and bidder research. For a law business that means precedent research and contract review. For an industry association it means member services and reporting. The mechanics of the programme are the same; the worked examples are business-specific.
Standard NDA on every engagement. The training is designed around the data residency rules of the business, not the other way around. We will not ask anyone to put confidential client data into a consumer-grade tool. Where businesses use an enterprise Copilot or Claude deployment with appropriate data agreements, we work inside that boundary.
SeidrLab measures active use of the tools in real work, at the end of the engagement and again four-to-six weeks later. We use self-report at the team level and, where the business allows, usage data from the AI tools themselves. We do not measure success by attendance, NPS scores, or post-workshop survey enthusiasm.
We will ask three questions: where your business sits on the AI Ability Grade today, which functions and individuals matter most, and what good looks like at the end. By the end of the call you will have a shape for the engagement, or an honest view of why a training programme is not the right next step.