Follow Rabbit: Early OpenClaw Rollout for Internal Operations
Follow Rabbit helps engineering and data teams reduce Google Cloud waste. Blue Canvas is now implementing OpenClaw as an internal operating layer to support onboarding, knowledge capture, recurring team workflows, and cleaner execution behind the scenes.
Engagement Snapshot
About Follow Rabbit
Public positioning from the Follow Rabbit website
- • BigQuery and wider Google Cloud cost optimisation platform
- • Automated optimisation PRs and cost-focused code reviews
- • Product coverage across BigQuery, GKE, Cloud Storage, Compute Engine, Cloud Run, and anomaly detection
- • Google Cloud Partner positioning shown publicly
- • Enterprise customer logos shown publicly, including Lufthansa Group, Rakuten, Trivago, and Nordstrom
Important: the figures and customer proof below describe Follow Rabbit's own public product positioning. They are not claimed outcomes from the Blue Canvas or OpenClaw implementation, which is still in rollout.
Selected public customer logos
Text wordmarks only, no hotlinked external assetsThe Opportunity
Strong technical teams still need operating systems
- • Internal knowledge can end up spread across chats, docs, and individual heads
- • Customer onboarding steps are easy to handle manually at first, then become inconsistent
- • Reporting, follow-up, and internal admin can quietly drain time from product and delivery work
- • Valuable recurring tasks often exist, but not yet in a reusable system
- • Technical founders usually do not need more ideas, they need cleaner execution loops
That is the shape of this engagement. Follow Rabbit already has a strong commercial story in cloud cost optimisation. The Blue Canvas brief is different: use OpenClaw to make internal execution more structured, repeatable, and easier to hand off as the company grows.
Why OpenClaw Fits
Persistent memory
Store company context, operating notes, onboarding details, and recurring task state in a form that can be reused instead of recreated.
Custom skills
Shape agent behaviour around real operating workflows rather than relying on generic prompts or loose chat habits.
Workflow automation
Turn repeat admin, reporting, monitoring, and handoff work into routines the team can trust.
Multi-agent orchestration
Split research, drafting, monitoring, and execution across specialist agents when a single assistant would become noisy or unreliable.
Operational visibility
Make it easier to see what is done, what is waiting, and what needs a human decision next.
Phased rollout
Start with the highest-friction internal use cases, prove fit, then widen the footprint over time.
Implementation Breakdown
Phase 1: Foundations and onboarding
What is being set up
- • Core OpenClaw environment for internal use
- • Initial memory structure around business context and recurring work
- • First-pass skill design for common team workflows
- • Basic operating rules, guardrails, and reuse patterns
- • Practical documentation so the setup can be extended cleanly
Why it matters
- • Gives the team a structured base instead of ad hoc prompt usage
- • Makes future automation easier to layer in
- • Reduces the risk of knowledge staying trapped with one person
- • Creates repeatable starting points for internal processes
- • Keeps the rollout focused on real operations, not AI theatre
Status: This engagement is live but early. Setup, onboarding, and first workflow design are in progress.
Phase 2: First internal workflows
Priority use cases
- • Customer onboarding support and handoff structure
- • Internal summaries, reporting, and action tracking
- • Knowledge capture for recurring team questions and tasks
- • Competitive or market monitoring with cleaner outputs
- • Lightweight content and communication assistance where useful
How OpenClaw helps
- • Keeps state between tasks rather than starting fresh every time
- • Makes outputs more consistent through reusable skills
- • Supports specialist agents for research, drafting, and follow-through
- • Creates clearer handoffs between AI work and human decisions
- • Improves repeatability without forcing heavyweight software processes
Approach: Start with high-frequency operational loops first, then expand once the team has confidence in the setup.
Phase 3: Expansion and measurement
Likely next steps
- • Broader workflow coverage across operations and internal comms
- • Better visibility into recurring work and pending actions
- • Cleaner process documentation as new patterns emerge
- • More deliberate use of specialist agents where they save time
- • Review points to decide where the rollout should deepen next
Expected upside
- • Less manual coordination overhead
- • Faster repeat work and fewer missed steps
- • Better continuity when tasks move between people
- • More time protected for product and customer-facing work
- • A stronger operating layer as the business scales
Important: These are the intended operational benefits of the rollout, not finished outcome claims from a completed project.
What makes this commercially interesting
Strong buyer profile
- • Technical, product-led team
- • Clear understanding of operational leverage
- • Already selling automation and efficiency externally
- • Good fit for a systems-first implementation
Good OpenClaw use case
- • Recurring internal workflows with context dependency
- • Need for memory, handoffs, and consistency
- • Practical value from custom skills over generic chat
- • Natural scope for phased expansion
Simple commercial entry point
- • £1,000 setup fee
- • £500 monthly retainer
- • Clear initial scope
- • Room to grow once value is proven
Current project position
This is an implementation-in-progress case study. It shows the client fit, the operating problem, and the rollout shape, without pretending the work is further along than it is.
Need OpenClaw behind a growing technical team?
If your team already ships strong work but still relies on manual internal coordination, OpenClaw can help you build a more repeatable operating layer without bolting in heavyweight process for the sake of it.
What Blue Canvas can implement:
- • OpenClaw setup and internal operating design
- • Custom skills around recurring business workflows
- • Persistent memory and structured knowledge capture
- • Multi-agent handoffs for research, drafting, and operations
- • Ongoing support as the rollout matures
Early-stage work, clear scope, no invented ROI.