B2B AI innovation sprints. From ambition to working systems in weeks.
Technology rarely fixes broken ways of working, it only amplifies them. Whether it's AI, automation or any new platform, organisations see the best results when they start with clear commercial goals, connected data and processes that people actually use. The technology is the enabler, not the strategy.
What is an AI Innovation Sprint?
An AI Innovation Sprint helps you prove a commercial AI opportunity in weeks, not months.
Rather than spending six months building technology before seeing value, we identify one commercial problem, build a working solution around it, and leave your team with a system they can run themselves.
See some of our example sprintsIn 3-8 weeks you'll typically leave with:
- A working AI workflow
- Live automation
- Clear commercial metrics
- A roadmap for scaling
- Full staff training so your team can run the system independently
Our Approach
Three disciplines. One team.
We don't sell AI tooling. We combine commercial expertise, industry leading AI engineers and behavioural change in one sprint team, focused on measurable commercial problems.
Commercial & marketing expertise
We start with the growth problem, not the technology. AI is the accelerant, not the answer.
Applied AI & automation
We design connected workflows and agents around real work, clear governance and measurable outcomes.
Behavioural change & enablement
Adoption is part of the build. Your team learns the system as it goes live.
What AI Innovation Sprints look like
Four engagements. The same sprint shape. Different commercial problems. Each one left the team working differently.
Persona-Driven Content at Scale · From generic messaging to dimensional personas
A global consultancy's content wasn't landing across markets. The stated problem was capacity. The real problem was architecture: personas didn't account for geography, sector, and role simultaneously.
Magnus built a multi-dimensional persona framework from first-party research, then deployed AI to generate five content formats across six markets and six personas in parallel. Delivery accelerated from months to weeks. AI-generated content outperformed human-only content on engagement.
Markets covered with persona-driven content
Content sprintPersona combinations across geography, sector, and role
Multi-dimensional frameworkAI Research Intelligence Platform · From static PDFs to interactive insight
A 10,000-respondent workplace survey was locked in static reports that took months to process. The board wanted to demonstrate genuine AI capability, not a vanity project.
Magnus designed a three-sprint delivery: proof of concept in five days, production build in thirty, global launch in fifty-five. The result was an AI-powered research tool deployed across ten markets, with 400+ automated quality tests preventing hallucination. Sales teams adopted it as a conversation-opener for client engagements.
Days from kick-off to global launch across ten markets
Three-sprint deliveryAutomated quality tests preventing AI hallucination
Research intelligence platformBrand Audit at Scale · From visual consistency to customer relevance
A €5 billion professional services firm asked whether their brand was consistent across markets. The real question was whether it was relevant to their buyers.
Magnus combined AI-powered scoring with qualitative persona analysis across 125 page-persona combinations and 25 URL properties. The audit revealed the transformation required was five to ten times larger than anticipated, and shifted the entire organisation from thinking inside-out to outside-in.
Page-persona combinations scored for relevance
Brand audit sprintURL properties audited across the brand estate
€5bn professional services firmRecruitment Platform · From vacancy posting to talent marketing
A major consultancy was competing for specialist talent with a post-and-pray approach. Every role got the same generic treatment regardless of geography, seniority, or specialism.
Magnus built a composable persona system across four dimensions, geography, function, specialism, and seniority, then deployed AI to generate personalised job ads at scale. What previously took weeks of copywriting now takes minutes. The platform handles hundreds of role combinations and reframes every vacancy as a candidate value proposition.
Dimensions in the composable persona system: geography, function, specialism, seniority
Recruitment sprintFrom kick-off to live self-service platform
Major consultancy
A time-boxed engagement, typically 3-8 weeks, that proves a specific commercial AI opportunity in weeks rather than months. Instead of building technology for six months before seeing value, we identify one commercial problem, build a working solution around it, and leave your team with a system they can run themselves.
Each sprint combines three disciplines in one team: commercial and marketing expertise to keep the focus on the growth problem rather than the technology, applied AI and automation specialists to design the workflows and agents, and behavioural change support so your team adopts the system as it goes live, not after.
Find the real problem beneath the symptom, build the system around the priority use case, embed the team so people move from production to judgement, and improve every cycle so the agents left behind can learn, adapt and scale.
Typically a working AI workflow, live automation, clear commercial metrics, and a roadmap for scaling - not a proof of concept that stalls once the sprint ends.
Yes - recent sprints include a persona-driven content system deployed across six markets, an AI research intelligence platform launched across ten markets in fifty-five days, a brand audit scored across 125 page-persona combinations, and a recruitment platform generating personalised job ads across four dimensions. Full case studies are linked from the sprint examples on this page.