
Data-driven, human-led.
AI handles interpretation where it helps. People keep the decisions that require taste, risk or accountability.
Twegs combines product marketing, creative direction and AI workflow design. Choose one fixed-scope build: an executive narrative and flagship program, a buyer-ready website, a human-reviewed content workflow or a market intelligence system.

Led by Sophie Jonsson
4 years in Google Cloud AI GTM
Gemini, Workspace AI and Agentspace
View LinkedIn profileThe best AI systems do not remove judgment. They put it in the right place, with evidence, ownership and a way to intervene.
Why Twegs

AI handles interpretation where it helps. People keep the decisions that require taste, risk or accountability.

Narrative, design and workflow are developed together, so strong work becomes a repeatable system.
Every build makes its sources, rules, approvals and outputs visible to the team that owns it.
The build method
Strategy decks, creative production and automation are often bought separately. The result is a strong idea that cannot run, or an efficient workflow that produces work nobody wants. Twegs designs the decision, the system and the final experience as one job.
Agree the audience, outcome, quality standard, deliverables, fee and end date.
Map sources, rules, transformations, approvals and human gates.
Test working software and creative output on real work every week.
Name the owners, document the system, train the team and establish the feedback loop.
Services
Twegs works on both sides of B2B marketing: what buyers experience and how the team produces, updates and learns from that work. Start with the side that is breaking.
What buyers experience
Shape one high-stakes argument or rebuild the website where buyers evaluate the offer.
The argument is unresolved.
Turn one complex market or launch issue into an evidence-backed narrative, a flagship program and a clear direction for every adaptation.
The buyer experience is broken.
Plan, write, design and build a B2B marketing website that answers buying-group questions and gives marketing reusable pages it can publish without custom work.
How the team works
Improve how approved content moves or how market change reaches a decision.
Approved content is rebuilt manually.
Build one human-reviewed AI workflow that turns approved source material into coordinated content across the agreed channels.
External change never reaches a decision.
Build a monitored, analyst-reviewed system that turns defined competitor and market changes into evidence-backed briefs for named decision owners.
The optional Marketing Systems Audit identifies which build deserves priority.
See the starting audit →Insights

A practical guide to the market decisions product marketing should coordinate in a B2B company, from target customers and positioning to launches and sales guidance.

A practical guide to defining, measuring and repairing the point where a qualified buyer moves from B2B marketing to sales.

A repeatable method for measuring brand mentions, citations and recommendations across AI answer systems without pretending they behave like rankings.

A decision-focused measurement model for B2B teams facing consent gaps, private buyer journeys and AI-assisted research.

2026 research report · 31 pages · free
How AI-mediated buying, cheap production and the AI product wave are rewiring the PMM discipline. Ten exhibits of sourced data, playbooks by industry and segment, and a twelve-month roadmap.