Fit before features

Built for teams that need evidence without surveillance.

Clavinci is for engineering organizations that want to connect AI cost to shipped work, keep the raw work out of the measurement system, and use a company-operated product instead of maintaining another application stack.

Evidence checked: 2026-07-16

01 / strong fit

Clavinci is a strong fit when

  • Your engineers use several AI coding tools, not one vendor dashboard.
  • You need token and session cost joined to commits, issues, pull requests, CI, and deployments.
  • You require a written boundary around prompts, responses, source code, comments, logs, environment variables, and secrets.
  • Managers need useful team evidence while individual reads remain authorized and audited.
  • You want the company to operate the product while your team controls connector access, retention policy, and governance.

02 / choose differently

Choose a different product when

  • You require customer-managed or on-premise deployment.
  • Your program is centered on recurring developer surveys and industry benchmarks.
  • You want pull request automation, AI code review, or workflow enforcement inside the measurement product.
  • You require final public prices, plan boundaries, or service commitments before starting an evaluation.

03 / role lens

The decision changes by role

01

Engineering leader

Use Clavinci when the decision is about cost, delivery, review health, stability, and attribution across several AI tools.

Evaluation question: Can we show which AI-assisted work shipped, survived, and improved an engineering outcome?

02

Engineer

Use Clavinci when local history, visible access records, correction rights, and a strict content boundary are adoption requirements.

Evaluation question: Can I inspect my evidence, dispute a wrong attribution, and see every sensitive read?

03

Platform owner

Use Clavinci when your team wants a company-operated service and can focus on connector rollout, identity, retention, and governance instead of maintaining the application stack.

Evaluation question: Can we authorize the required sources and prove coverage, freshness, failures, and ownership?

04

Security reviewer

Use Clavinci when structural exclusions and auditable access matter more than content-aware workflow intervention.

Evaluation question: Do the field inventory, access policy, retention controls, and deployment responsibility meet our requirements?

04 / prerequisites

Deployment prerequisites

  1. 01

    An approved local collector rollout for the engineers and repositories in scope.

  2. 02

    Supported AI tools and git repositories mapped to stable engineer and organization identities.

  3. 03

    A read-only Jira organization credential and project allow-list when sprint and issue outcomes are required.

  4. 04

    CI, pull request, deployment, and incident sources connected for the delivery and stability questions being evaluated.

  5. 05

    Accurate reporting lines, team membership, privacy floors, retention requirements, and permitted workforce purpose.

  6. 06

    Security, privacy, legal, employee-consultation, and procurement review for the company-operated hosted service.

05 / current product

Implemented in the checked-in product

  • Nine AI collector implementations plus git collection and local event history.
  • Replayable multi-signal attribution, proportional session links, engineer disputes, and admin resolution.
  • Actual and API-equivalent cost, DORA, sprint, pull request, stability, AI-quality, adoption, and collection-health metrics.
  • Engineer, direct-manager, skip-level, and admin surfaces with reporting-line access policy, audit records, privacy floors, and anti-metric refusals.
  • Jira, CI, pull request, deployment, incident, notification, local API, cloud API, database, backup, and hosted-operation components.

05 / current product

Not current product capability

  • Customer-managed, self-hosted, or on-premise deployment is not offered.
  • Work trackers beyond Jira remain future candidates, not current integrations.
  • Developer surveys, industry benchmarks, generalized BI, portfolio finance, AI code review, and pull request automation are not Clavinci capabilities.
  • Final public prices, plan boundaries, and service commitments are not yet published.

06 / commercial status

Current commercial status

Commercial hosted product

Clavinci is proprietary paid software operated by the company as a hosted service. The implementation exists in the checked-in repository. Public pricing and final service commitments remain offer work and are not implied by implementation completeness.

Evidence checked: 2026-07-16

Product evidence

  1. Checked-in implementation
  2. Architecture and data-flow reference
  3. Product requirements and non-goals
The right fit starts with the operating model, not the dashboard.