Solve commercial problems in weeks, not quarters.
AI Innovation Sprints are the fastest way for Magnus to stand up the go-to-market operating system around a specific commercial problem. Over three to eight weeks the sprint establishes the core intelligence and workflows in Magnitude for one priority area and leaves the client team with a working system rather than a static report.
You don't need another tool. You need to solve the problem.
You know AI can help. You don't have time to figure out how.
The landscape moves weekly. Your team is already stretched across delivery, reporting, and the day job. Experimenting on top of everything else isn't realistic, but falling behind isn't an option either.
The real problems are commercial, not technical.
Growth depends on too few people. Messaging doesn't land across markets. The team is expected to deliver enterprise-grade results with a fraction of the resource. These are the problems worth solving.
Most AI implementations fail at adoption.
A working system means nothing if the team doesn't use it. We shift your people from production to judgement. The system handles volume. Your people handle direction.
of B2B leaders say AI is a top commercial priority, but fewer than 1 in 3 have a working system in market
McKinsey, State of AI 2025faster time-to-revenue for companies that embed AI directly into their GTM motion versus those that run AI as a separate workstream
Bain, AI in B2B Growth 2025The Approach
An AI Innovation Sprint is a time-boxed engagement, typically three to eight weeks, where Magnus consultants and specialists work together on a defined commercial challenge. The sprint stands up the essential layers of the operating system for that challenge: market and buyer architecture, signal definitions, workflows, and operating practices.
The focus is not a proof of concept or a discovery phase. Each sprint is designed to finish with a working system in Magnitude and an embedded way of working that can be extended and brought into a recurring governance cadence.
What you get: A working system not a report. Built in weeks, not quarters. Owned by your team, not dependent on ours.
How the AI sprints work.
Find the real problem
The problem you see is not the problem you have. Slow content means no persona architecture. Brand inconsistency means no customer relevance framework. Week one identifies the root cause and builds the foundation.
Execution scales
Persona-driven content requires structured intelligence. Brand audits at scale require systematic coverage. Research only creates value when it becomes usable insight. What takes traditional teams months is delivered in days, with human judgement governing quality at every stage. Powered by Magnitude.
The team adopts the system
Execution fails without a shift in roles. Content writers become editorial directors. Analysts become strategists. The system handles volume. Your team sets direction.
Built to evolve
Static systems become obsolete. Persona frameworks must evolve. Content pipelines must adapt. Audit tools must keep pace with change. The system is built to iterate. You can run it without us, and scale it further when needed.
What AI Innovation Sprints look like
Four engagements. The same sprint shape. Different commercial problems. Each one left the team working differently.
A global consultancy's content wasn't landing across markets. The real problem was architecture: personas didn't account for geography, sector, and role simultaneously. Magnus built a multi-dimensional persona framework, then generated five content formats across six markets and 36 persona combinations. Delivery accelerated from months to weeks.
Markets covered with persona-driven content
Content sprintPersona combinations generated across geography, sector, and role
Multi-dimensional frameworkA 10,000-respondent workplace survey was locked in static reports. 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 interactive research intelligence tool deployed across ten markets, with 400+ automated quality tests preventing hallucination.
Days from kick-off to global launch across ten markets
Three-sprint deliveryAutomated quality tests preventing AI hallucination
Research intelligence platformA €5bn professional services firm asked whether their brand was consistent. The real question was whether it was relevant to buyers. Magnus combined automated scoring with qualitative persona analysis across 125 page-persona combinations. The audit revealed the transformation required was 5-10x larger than anticipated.
Properties audited across the brand estate
Brand audit sprintPage-persona combinations scored for relevance
€5bn professional services firmA major consultancy was competing for talent with a post-and-pray approach. Magnus built a composable persona system across four dimensions (geography, function, specialism, and seniority) then generated personalised job ads at scale. What took weeks now takes minutes.
Dimensions in the composable persona system: geography, function, specialism, seniority
Recruitment sprintFrom kick-off to live self-service platform
Major consultancyA working system in weeks, owned by your team from day one.
- Commercial problems solved in weeks, not quarters.
- AI embedded into your GTM motion from the start.
- Clear deliverables at every stage, with defined sprint milestones.
- Senior commercial thinking and Magnitude execution in one engagement.
- Full handover so your team can run and scale the system independently.
Surface, Don't Decide
What the system handles
- Activating research and market intelligence at speed
- Generating and localising content across markets
- Scoring brand consistency across hundreds of combinations
- Monitoring performance signals continuously
- Producing first drafts at scale for human refinement
What people own
- Strategic direction and commercial priorities
- Positioning, messaging, and brand voice
- Buyer insight and relationship judgement
- Quality governance and editorial decisions
- Stakeholder alignment and organisational change
Tell us the commercial problem. We'll design the sprint.
A straight conversation: define the challenge, scope the sprint, and start generating output in weeks.