Signal 01
Decisions expose the strategy gap.
A channel choice becomes a positioning debate. A roadmap call becomes a question about buyer behaviour. The same unresolved questions keep resurfacing because there is no shared logic underneath them.
№ 01: Premise
01: Premise
AI-era strategy consulting for product and marketing teams.
For established B2B companies deciding where AI changes the strategy, the team, and the operating model. Polyviam turns messy product, growth, and marketing questions into written decisions your team can act on.
№ 02: Priors
02: Priors
Companies Jayson has coached, taught, and consulted for.
- Accenture
- AXS
- BairesDev
- CloudTask
- Cooperative AI
- Crunch
- Financial Times
- Haleon
- HelloFresh
- iZettle
- JustEat
- LEGO Group
- LearnLight
- Pipedrive
- Roche
- Spotify
- SumUp
- TalentSoft
- Toptal
- TrueLayer
№ 03: Practices
03: Practices
Four strategy questions, one consulting shape.
The entry point can be marketing, growth, product, or operating model. The work always asks the same thing: where does AI change the economics, the workflow, or the team - and what decision follows?
For CMOs & heads of marketing
Marketing strategy consulting
Positioning, ICP, channel mix, generative-search visibility, measurement, and team structure rewritten for buyers who now research through AI systems before they talk to sales.
Explore marketing strategy →For VPs of growth & demand
Growth marketing consulting
Funnel architecture, acquisition economics, channel sequencing, and attribution for teams losing visibility as buyer research moves into AI interfaces and dark-funnel channels.
Explore growth marketing →For CPOs & heads of product
Product strategy consulting
Product strategy for companies deciding what AI changes, what stays human, what to kill, and where differentiation still exists as features commoditise faster.
Explore product strategy →For execs reshaping the team
Operating model consulting
Target operating-model work for product, growth, and marketing: team shape, decision rights, agency relationships, headcount, rituals, governance, and AI ownership.
Discuss operating-model work →№ 04: Fit
04: Fit
Use consulting when all decisions seem fuzzy.
Fuzziness is usually a strategy problem before it is an AI problem. When the team is not aligned on where AI changes the market, the work, or the operating model, every budget, roadmap, hiring, and vendor decision becomes harder than it should be.
Signal 02
AI has created more options than criteria.
The team can automate, accelerate, personalise, analyse, or rebuild more than before. What is missing is a shared basis for deciding what should change, what should stay human, and where the economics actually improve.
Signal 03
Teams are moving, but not converging.
Marketing, product, growth, sales, and operations are each experimenting with AI from their own angle. The work is energetic, but the company lacks a common picture of the market, the customer journey, and the operating model that should follow.
№ 05: How
05: How
Hands-on. Research-led. Close to the work.
The shape of the engagement depends on the question, but the posture does not. We get underneath the abstractions: how buyers decide, how the team works, where AI changes the economics, and which internal sensitivities will shape what can actually move.
- i. Start with the goal. We clarify what the strategy is meant to achieve, the constraints and sensitivities around it, the people who need to be aligned, and the evidence that would make the answer credible.
- ii. Get close to the current system. Stakeholder interviews, customer and market research, document review, data review where it matters, workflow mapping, and a hard look at the assumptions currently driving the team.
- iii. Synthesize and pattern-match. We connect buyer behaviour, market pressure, economics, capability, and AI implications into a small number of choices, trade-offs, and practical tests.
- iv. Turn it into operating action. We pressure-test the recommendation with the owners and turn it into weighted bets: sequencing, responsibilities, rituals, measures, and partner choices, grounded in evidence and operational realism.
№ 06: Proof
06: Proof
Some of the operators we've worked with.
“We're obsessed with growth. It's all we talk about.
And one of the people who've really helped us adapt to the next phase of growth is Jayson. You feel that he is playing the long-game with you from the start.”
Selected clients
- BairesDev
- Toptal
- CloudTask
- BetterEngineer
- Pathos Communications
- Continuo Foundation
№ 07: Philosophy
07: Philosophy
Strategy is a way to make better bets under constraint.
Good strategy work does not begin with tools, trends, or a blank-room brainstorm. It begins with goals and constraints. Strategy answers the question: “How do we best achieve our goals, given our constraints?”
That question is fundamentally altered in the AI era. Strategy relies on execution and measurement to determine whether it is working, and AI has dramatically reduced cycle times and costs while increasing competition and customer expectations. Not treating AI as the central variable in 2026 is a grave mistake.
AI does not remove the need for judgement. The opposite: it increases the need for judgement, because so much more is possible.
The work is to turn research, internal context, market pattern recognition, and operational realism into a small number of weighted bets as a basis for action.
№ 08: Questions
08: Questions
Common questions about our consulting work.
What kind of consulting does Polyviam do?
Polyviam does fixed-scope strategy consulting for product, growth, marketing, and operating-model questions at established B2B companies. The common thread is AI: where it changes the economics, where it changes the team, and where it does not belong.
How is this different from coaching?
Consulting is the right format when you need a written answer to a strategy question on a defined timeline. Coaching is the right format when the leader or team needs to build judgement over time. Some clients start with consulting and continue with coaching after the strategy is handed over.
Do you implement AI tools or build agents for clients?
No. Polyviam is upstream of implementation. We define the strategy, operating-model changes, use-case priorities, and decision criteria your team can act on. If implementation is the right next step, we hand the work to your team, existing agency, or a better-fit specialist.
How long does a consulting engagement take?
Most engagements are between 2 and 12 weeks after the kick-off call. Narrow questions can be shorter. Multi-function strategy or operating-model work can take longer if stakeholder access is slow.
What do we get at the end?
You get a written strategy document, a prioritised roadmap, a handover briefing, and any supporting artefacts created along the way (positioning documents, competitor research, user interview transcripts, etc). The exact artefact depends on the engagement, but the ideal strategy document is a written document of less than one page.
Who is this not for?
It is not for solopreneurs, pre-revenue startups, or teams looking for a delivery agency. It is also not for companies that want a vendor to choose their AI tooling before the strategy is clear.
№ 09: Begin
09: Begin
Start with a 30-minute intro call.
We will talk through the strategy question, what has already been tried, who owns the decision, and whether consulting is the right shape. If it is not, you will know that before anyone writes a scope.