Five tools, one platform, 4× faster releases.
How Flowbase’s product team replaced their fragmented stack with Apex AI — and gave every PM, designer and engineer the same shared context.
- Industry
- B2B SaaS
- Team size
- 180 people
- Headquarters
- Berlin, Germany
- Customer since
- 2024
4×
Faster time to ship
5 → 1
Tools consolidated
32 hrs
Saved per sprint
100%
Of teams onboarded in week 1
The challenge
Context lost at every handoff.
By 2024, Flowbase’s 180-person product org was running on five disconnected tools: Linear for tickets, Figma for design, GitHub for code, Notion for docs, and PagerDuty for incidents. Every transition between them lost context, and every engineer manually copy-pasted decisions across surfaces.
“A typical feature touched four tools and three people before the first line of code,” says Sarah Chen, VP of Product. “We were spending 30+ hours a sprint just keeping things in sync.”
Apex AI removed the handoffs that used to eat half a sprint. Spec, design, build, ship — all in one place, with the same shared context.
Sarah Chen
VP of Product, Flowbase
The solution
One platform, every pillar covered.
Flowbase rolled out Apex AI to its product, design and engineering pillars in three two-week phases. Existing tools weren’t replaced overnight — Apex’s self-building connectors plugged into Linear, Figma and GitHub, and progressively absorbed the workflows that didn’t need a separate surface.
BYOAI let each team keep its preferred model (Claude for spec, GPT for code review, Gemini for QA prompts) under unified governance. Within four weeks, every pillar was reporting status from a single Apex dashboard.
The outcome
From idea to production in days, not weeks.
Six months in, Flowbase ships releases at four times the cadence of their pre-Apex baseline. Sprint planning takes 40% less time because every PM walks in with the same data the engineering lead is already looking at. Stakeholder updates are generated automatically from in-platform activity — no more manual status decks.
Most importantly: every product decision is now traceable. When a feature ships, anyone in the company can trace it back from production deploy to the original customer interview that justified it — in two clicks.
- Tooling spend reduced by $480K annually after retiring four legacy tools
- Onboarding time for new product hires cut from six weeks to ten days
- Zero production incidents traced back to mis-coordinated rollouts since switch
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