AI Sprints
Solve commercial problems in weeks, not quarters
Strategic consultancy and embedded AI, delivered at pace
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.
The challenge
You don’t need another tool. You need
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.
The Approach
WHAT IS AN INNOVATION SPRINT?
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 IT WORKS – The SPRINT SHAPE
Phase 1: Find the real problem
In every engagement we’ve run, the stated problem masks a deeper structural issue. A content team that can’t write fast enough actually lacks a persona architecture. A brand team checking for consistency actually needs a customer relevance framework. Week one frames the challenge and builds the strategic architecture.
Phase 2: Execution scales
Persona-driven content across multiple markets. Brand audits across hundreds of combinations. Research data transformed into interactive intelligence. Work that would take a traditional team months is delivered in days, with human judgement governing quality at every stage. Powered by Magnitude.
PHASE 3: The team adopts the system
This is the phase most implementations skip, and it’s the reason most fail. We shift your team from production to judgement. Content writers become editorial directors. Analysts become strategists. The system handles volume. Your people handle direction.
phase 4: Built to evolve
Every system we build is designed for iteration, not obsolescence. Persona frameworks refresh. Content pipelines adapt to new markets. Audit tools re-run as the business changes. You don’t need us to keep it going, but we’re there when you need to scale it further.
In Practice – What AI Innovation Sprints look like
Four engagements. The same sprint shape. Different commercial problems. Each one left the team working differently.
CASE 1: PERSONA-DRIVEN CONTENT AT SCALE
From generic messaging to dimensional personas
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.
CASE 2: AI RESEARCH INTELLIGENCE PLATFORM
From static PDFs to interactive insight
A 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.
ASE 3: BRAND AUDIT AT SCALE
From visual consistency to customer relevance
A 5B euro 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 transformation required was 5-10x larger than anticipated..
CASE 4: RECRUITMENT PLATFORM
From vacancy posting to talent marketing
A major consultancy was competing for talent with a post-and-pray approach. Magnus built a composable persona system across four dimensions (geography, function, specialism, seniority) then generated personalised job ads at scale. What took weeks now takes minutes..
Our Principle – 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
Who It’s For – Built for two moments
For Leadership Teams
Growth has stalled or become fragile. Commercial knowledge lives in heads of a few people. You need clarity on where to play, confidence in how to win, and a system that doesn’t depend on individuals. An AI Innovation Sprint codifies what works and builds architecture around it.
Revenue plateau | Founder dependency | Scaling challenges
For Marketing Leaders
Your team is expected to deliver enterprise-grade results with a fraction of the resource. You need the commercial evidence to prove marketing’s contribution to growth, in language the board understands. An AI Innovation Sprint gives you senior strategic capability and execution capacity as an embedded extension of your team.
Resource constraints | Board credibility | Capability gap
Ready to move?
START WITH A CONVERSATION
Every sprint starts with a conversation about the commercial problem you’re trying to solve. No pitch deck. No twelve-week scoping phase. Just a direct conversation about what’s stuck and how to unstick it.
