002 / The platform

One platform.Shared practice.

It installs between your developers and the AI they already use: tool- and model-agnostic, EU-sovereign, governed. The platform's capabilities turn scattered AI use into a shared practice the team trusts.

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Platform capabilities

Everything it takes.
All in one platform.

Licences alone keep AI a private habit. A platform makes it a team practice by adding four things: context to match your standards, performance to run it well, compliance to defend it, and insights to prove it works.

01 · Context →

Shared practice, in the work

Constitution, ADRs, contracts and skills read by every AI call, so output matches your team, not generic patterns.

02 · Performance →

Smarter AI, lower spend

The right model for each task, safeguards on every prompt, failover under every call, for 30-60% less LLM spend.

03 · Compliance →

Audit-grade, AI Act ready

Every prompt, tool call and commit traceable to the work it shipped. EU-sovereign by construction.

04 · Insights →

Know where you stand

Maturity, adoption, cost and ROI, measured per team, per project, over time. Evidence, not anecdotes.

01 Context

Shared practice.
Installed in your team.

AI is only as good as the context it works in. The platform installs the constitution, conventions and shared knowledge that turn AI from individual productivity into team capability.

i · Your standards

Codified, not implicit

Constitution: architectural principles every AI call respects
ADRs: decisions every agent reads before suggesting changes
Skills: your team's conventions, captured and applied
Contracts: interfaces and boundaries the platform enforces

AI output matches how your team actually wants to work.

ii · Your reviewers

Senior expertise on every PR

Architecture review agents enforce your ADRs at PR time
Compliance agents flag regulatory exposure
Persona agents: medical, financial, accessibility
Constitution-aware review across every change

AI-coauthored PRs match human-PR quality. The defect gap closes.

iii · Compounding

Practice that gets stronger

Every iteration strengthens the constitution and ADRs
The skills library grows with the team's experience
Knowledge stays, even when the team changes
Onboarding accelerates as the practice matures

Maturity compounds. The practice gets stronger, not stale.

02 Performance

Smarter. Lower spend.
Always available.

Performance is multidimensional: cost-efficient routing, runtime safeguards on every prompt, and reliability across providers, all working behind the scenes, invisible by default.

i · Efficiency

Right model for the task

Cheap models for documentation and summaries
Premium models for complex refactors
Local models for sensitive contexts
Prompt caching for shared, repeated context

30-60% LLM cost reduction. Recovered in the first quarter.

ii · Safeguards

Safety on every prompt

Automatic PII redaction before prompts leave your network
Secret detection: API keys, tokens, credentials
Compliance-aware routing for sensitive data
Customer-controlled retention policies

Zero accidental data leakage to third-party providers.

iii · Reliability

Always-on AI

Automatic provider failover (Anthropic down → OpenAI)
Team-level cost ceilings and rate limiting
Outage protection across providers
Streaming pass-through, no buffering

AI doesn't stop your team when a provider has a bad day.

03 Compliance

Audit-grade attribution.
EU-native by default.

Every AI-touched line of code is traceable, classifiable and defensible, from prompt to merged PR. Regulators get the audit trail, CISOs get the data control, CCOs get the AI Act report on demand.

i · Attribution

From prompt to PR

Per-developer, per-PR, per-tool attribution
Cryptographic diff matching to committed code
Confidence scored from multiple signals
Agent sessions correlated to commits and PRs

Full chain of custody for AI-authored code.

ii · Regulatory

AI Act ready

Continuous compliance posture, not periodic
AI Act risk classification on every PR
Sector-specific: finance, health, government
Evidence portal for auditors

Quarterly compliance reports in one click, not a week.

iii · Sovereignty

Yours, in your jurisdiction

EU-hosted infrastructure by default
EU-routed inference
Data stays within the EU, never crosses borders
Customer-managed encryption keys available

Sovereign by construction, not by configuration.

04 Insights

Know where your team
actually stands.

Maturity isn't a feeling. The platform measures it continuously, per team, per project, over time. See progress, catch drift, prove the investment.

i · Maturity

Where each team stands today

Scored across five levels of AI-native maturity
Per-team, per-project, per-codebase visibility
Trend lines: who's improving, who's stuck
Benchmark against your own targets

Leadership sees where to invest coaching and scale practice.

ii · Adoption & usage

What's actually happening

AI usage by team, by tool, by surface
Adoption curves: the onboarding signal
Cost attribution per team and project
Browser-to-IDE/CLI migration tracked

Visibility into where AI investment is actually paying off.

iii · Outcomes

Did the investment work?

Defect rates: AI-coauthored vs human
Compliance posture trended over time
Cost-per-feature, time-to-merge, throughput
Board-ready ROI evidence

Prove the AI investment to the board with data, not anecdotes.

Get started

See it run on your codebase.

The readiness check takes one day. We connect the platform to your repos, show you your team's AI footprint, and leave you with a maturity baseline. Fixed price, no commitment after.

01 · Connect

30 minutes

Participating developers sign up, and you register the GitHub App for your repos. No deep configuration, no disruption.

02 · See

Within hours

The dashboard shows usage by team, cost by surface, AI-touched code by repo, and a maturity baseline.

03 · Decide

End of day

Evidence to commit to the embed, or walk away. No contract beyond the readiness check without an explicit decision.

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