Put guardrails and automation around how design work ships
Reviews bottleneck when headcount does not scale with output. Nobody has defined what agents and tools may change. AI-Ready Ops sets up the workflow, component governance, AI tooling hooks and a DesignOps playbook your team can run, in three weeks.
- Timeline
- 3 weeks
- Investment
- €11–17k
- Package
- AI-Ready Ops
Use it when design debt grows faster than review
- Design review bottlenecks when headcount does not scale with output
- Handoffs still rely on screenshots and chat threads
- No single source of truth for what agents or tools may change
- Design debt accumulates faster than manual QA can catch
What AI-Ready Ops covers
A map of where time is lost across spec, build, review and release. Then guardrails for what agents and tools may change in the design system, drift checks in CI and one workflow automated end to end.
Not included
- Automating decisions that need human judgement
- Rolling automation across every workflow at once
- Unsupervised agents changing production
How AI-Ready Ops runs
- Map where time is lost: spec, build, review or release.
- Separate safe automation targets from decisions that need human judgement.
- Prototype one workflow end to end, for example a token pull request.
- Measure throughput and error rate before expanding automation.
What you receive
- A DesignOps workflow map with automation candidates
- Guardrails for agent and tool changes to the design system
- Linting or CI checks for token and component drift
- A playbook for human-in-the-loop review
How the price is set
Final scope depends on the number of workflows, repositories and teams included.
Digitaltableteur is a Vastuu Group Reliable Partner: tax, pension and employer obligations continuously verified.
Relevant published work
VR Group, 2026 to present
DSharp Design System
Tokens, component contracts, Storybook, MCP, CLI and enforcement tooling for an AI-assisted design-system architecture.
Read the case study: DSharp Design SystemOpen source, 2025 to present
LLM Component Schema
A published schema and CLI for component contracts, with drift detection and evaluation benchmarks.
Read the case study: LLM Component SchemaOpen source, 2026
Project Spine
A CLI that compiles briefs, repositories and design tokens into operating context for coding agents.
Read the case study: Project Spine
About AI-Ready Ops
One workflow end to end, for example a token pull request or a component scaffold, chosen where time is lost today.
Buying from Digitaltableteur
Answers for procurement, legal and finance teams. Anything not covered here can go in the first message.
Digitaltableteur, a Finnish sole trader registered in the Trade Register. Business ID 2264455-2, VAT ID FI22644552, Hämeentie 8 C 26, 00530 Helsinki.
Start with a 30-minute call
Talk through where design work slows down today. A calendar invite arrives by email.